Mel Morris CBE | The Future of AI & The Past of Derby

14 Oct 2025 · 1 h 16 min · 28 chapters

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In short

Mel Morris CBE discusses the evolution of computing and mobile gaming, his Derby County tenure and administration, and his current company Corpora’s “corporate AI” approach to enterprise knowledge discovery.

Guest background

Mel Morris is a technology entrepreneur and investor. He backed online dating in the 1990s, worked on Candy Crush Saga/King (as owner via his investment), and later became owner of Derby County FC in 2014. He has also founded/led multiple tech ventures, including Udate (internet dating) and Minitech (software for faster computer performance).

Key claims

He says Corpora’s system maps relationships across large document corpora in real time, ingesting “two million documents a second” and answering queries in milliseconds at lower cost than mainstream AI. He argues mainstream AI compresses information and can’t reliably “reinflate” it for citations, while Corpora can provide correlated, structured links. On football, he claims EFL ownership approval processes delayed buyers and contributed to the club’s downfall.

Notable examples

Derby signings “Frank Lampard, Ashley Cole, Wayne Rooney”; Derby training ground redevelopment; Corpora example: generating 400 pages of correlated content from a four-letter acronym for a pediatric, incurable cancer topic.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

Mel's Early Encounters with Technology

0:04 to 0:27

Mel recounts his early experiences with computers and technology.

“It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks.”

Mel's Early Encounters with Technology

3:18 to 4:00

Mel recounts his early experiences with computers and technology.

Leaving School and Early Career Choices

4:00 to 5:32

Discussion on Mel's decision to leave school and his early job experiences.

“sure I had something to do with technology going forward.”

Transitioning to Technology Roles

5:32 to 7:30

Mel shares his journey into technology roles and experiences in early jobs.

“I feel for the people working in those sorts of places because you go in there and it's like it's 120 degrees Fahrenheit.”

Growth and Learning in the Tech Field

7:30 to 10:23

Mel discusses his growth in the tech field and experiences in various companies.

“So he said, well, you know, quite a tech two weeks off.”

Ambitions and Opportunities in Technology

10:23 to 12:13

Exploration of Mel's ambitions and opportunities in technology throughout his career.

“these manuals about the work they did on this operating system I'd never seen before.”

Experiences in the United States

12:13 to 14:00

Mel describes his move to the United States and contrasts tech environments.

“I found technology something I could master.”

Building Businesses in the Tech Industry

14:00 to 18:00

Learn about Mel Morris's journey through various tech companies and innovations.

“You have to try harder because otherwise you'd have anything done.”

The Evolution of U-DATE and Gaming

18:00 to 22:20

Discover how Mel Morris transitioned from U-DATE to the gaming industry, setting the stage for Candy Crush.

“and it would be used to measure the productivity of PCs and their users to spot things like, you know, this secretary could do with training on Microsoft Word or something.”

The Breakthrough of Candy Crush Saga

22:20 to 25:00

Understand the innovative business model behind Candy Crush that led to its massive success.

“And I was backing them and the team more than the market opportunity because there wasn't a lot of money to be made in gaming at that point.”
Show all 28 chapters

Philanthropic Efforts and Personal Journey

28:00 to 29:54

Learn about Mel Morris's charitable initiatives and personal philosophy on wealth.

“you go from being worth a few million quid to hundreds of millions.”

Challenges and Experiences as Derby Chairman

29:54 to 32:44

Discover the trials and tribulations Mel faced as chairman during critical games.

“And it was entirely his prerogative to have that plan.”

Investments and Financial Realities of Football Club Ownership

32:44 to 35:16

Explore the significant investments made and financial challenges in maintaining a club.

“That's what the owner has to put in every single month just to keep the lights on.”

The Administration Process and Future of Derby County

35:16 to 37:30

Understand the difficult decision-making process behind putting Derby into administration.

“And, you know, I think that, you know, to me, the hardest decision ever, the easy one is just to keep going and keep going.”

Critique of EFL Processes and Club Ownership

37:30 to 39:41

Learn about the flaws in the EFL's processes and their impact on clubs.

“And they should charge that individual 50 or 100 grand to get a license.”

Transition to Corporate AI Ventures

39:41 to 42:00

Explore Mel Morris's shift to working with AI and his vision for the future.

“But we lost so much time with buyers that we took too long to get approval from with EFL and a number of tie kickers.”

Building Corpora: The Genesis of Data Processing

42:00 to 47:48

Learn about the inception of Corpora and its innovative approach to data processing.

“I've ended up working with a lot of very talented people, some of whom I've grown with me.”

Transformative Applications of AI in Medical Research

47:48 to 50:40

Discover how Corpora's AI enhances medical research and information correlation.

“They've got to produce a really, really eloquent and nice report, but it's never going to touch the breadth and depth of what it is that we can put in.”

The Future of Disease Treatment and Genetic Modification

50:40 to 53:50

Explore the potential of genetic modification in treating rare diseases and its implications.

“using it and they produce some really fantastic technology.”

Interdisciplinary Knowledge and AI's Role

53:50 to 56:00

Understand the importance of interdisciplinary knowledge in advancing science through AI.

“And there's so many things that we're working on as a species that I think are fascinating, absolutely fascinating.”

Exploring Agentic AI and Research Tools

56:00 to 58:04

Learn about the advantages of interactive research tools over traditional methods.

“Yeah, listen, I'm not decrying agentic AI.”

Personal Challenges and Decision Making

58:04 to 59:20

Discover how personal experiences influence decision-making in business.

“Well, you know, I mean, again, there's all sorts of things going off.”

Skills and Career Advice for Youth

59:20 to 1:01:44

Get insights on the importance of passion and hard work in building a career.

“Let's talk a bit about skills and skills in the future, right?”

The Contrast of Recruitment in Sports vs Business

1:01:44 to 1:04:38

Understand the differences in recruitment practices between sports and business sectors.

“Because presumably the passion bit in sports is almost a given.”

The Future Job Market and AI's Impact

1:04:38 to 1:07:09

Examine predictions for job market changes due to AI advancements.

“I mean, they're all things that you can do, but you can't change what happens at kickoff time at 3 o 'clock.”

The Symbiotic Relationship Between AI and Human Creativity

1:07:09 to 1:10:00

Explore how AI and human creativity must work together for progress.

“So I think people have got to gear up for that.”

AI and Human Collaboration

1:10:00 to 1:13:20

Explore the importance of a symbiotic relationship between AI and humans for mutual growth.

“So for both to thrive, we have to have this symbiotic relationship between ourselves and AI.”

Reflections on Derby and Future Involvement

1:13:20 to 1:14:36

Mel Morris discusses his past involvement with Derby and his feelings about returning.

“Well, look, I could talk for hours about this, but I know you've got places to be, etc.”
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Transcript

Automatic transcript. May contain errors.

0:01This episode is brought to you by Google Chrome. You think you know a browser, but Gemini and Chrome, that's new. It can help you with practically anything on the web, like restoring a vintage motorcycle from a 50-page restoration block, or finally break down that long article you've had open for weeks. Gemini and Chrome is here for it. Ready to make anything online make sense? There's no place like Chrome. Check responses set up required, compatibility and availability varies 18+. When you need to build up your team to handle the growing chaos at work, use Indeed Sponsored Jobs. It gives your job post the boost it needs to be seen and helps reach people with the right skills, certifications and more.

0:38Spend less time searching and more time actually interviewing candidates who check all your boxes. Listeners of this show will get a$75 sponsored job credit at Indeed.com slash podcast. That's Indeed.com slash podcast. Terms and conditions apply. Need a hiring hero? this is a job for Indeed Sponsored Jobs. Welcome to Jimmy's Jobs of the Future and happy birthday to us. It's five years exactly since we put out the first episode with Hayden Wood, who was the founder of Bulb. It was at the time the fastest growing technology company in the United Kingdom and Europe. Fair to say things have changed.

1:14I've posted on various social media, on LinkedIn and Substack in particular, some reflections on building the podcast over the last five years. and what the future may look like for us as well. But on to today's guests, we have Mel Morris. And Mel Morris has always been ahead of the curve. He backed online dating in the 90s. He worked on one of the most iconic mobile games in the early noughties when it came to Candy Crush Saga. He came much more prominently into my life as the owner of Derby County Football Club in 2014. what followed was a pretty exciting eight years of investment of busy summers signing lots of players various playoff campaigns and as we talk about in the episode there was an element of derby county goes to hollywood with signings like frank lampard ashley cole and wayne rooney but it all ended in disaster with mel morris plunging the club into administration and the club being relegated from the championship with a record points deduction.

2:23At the time I was quite heavily involved with the Save Derby County campaign. As we talk about in this episode with Mel Morris he wasn't sure that necessarily helped things at the time but he's back today to talk about what he thinks the future of AI looks like and what may happen next. It's a fascinating episode, it's got a little bit of something in it for everyone I think in terms of we talk about the history of technology how he's been able to kind of spot the trends going ahead the very interesting time at Derby County and the sort of disaster that it ended in but also a look to the future and what AI might actually be able to do so a fascinating episode I hope you enjoy it make sure you subscribe so we can continue to get bigger and bigger guests

3:17mel welcome to jimmy's jobs the future i was intrigued to start with the past in 1973 you left school and obviously you sort of made your money on the internet when did you first come across a computer oh wow that was really really early doors so first came across a computer before I left school okay all right I actually had a visit to Rolls-Royce uh saw one of the huge devices they were using which was probably a bit bigger than the size this office time is about four it's probably about as powerful as my my wristwatch today yeah um and that intrigued me and and I suppose you know as a kid you know what these things really are but I thought yeah this looks like really exciting things to do and uh it it set me up on a path where I was hell-bent on making sure I had something to do with technology going forward.

4:10It proved more difficult than I thought it was going to be, but that was the starting point. And so why did you leave school at 16 then? What was the sort of logic with that? Because there wasn't something that you could do that was computer science at that stage? I excelled at junior school. I really did. I did really, really love the school. It was a really small school, maybe about 150 pupils. Loved it. And, you know, it was great for me because it was a family environment. My mother left home at seven, so this was a really great place for me to be. I enjoyed it, and I excelled. We had French lessons at a young age, which was unheard of then.

4:48When I went to senior school, I was coasting for the first year or two because the junior school had done such a good job with me. I don't think I ever actually then realized I needed to switch on. So I had not really done well. I came through with a few GC results. But I wanted to work with tech, and that was what I wanted to do. And, of course, at that time, most people were going to go and be an apprentice for Rolls-Royce or British Rail or somewhere like that. And that wasn't for me, although I did actually take a role initially when I left school with Qualcast on Victory Road, which was a big industrial foundry.

5:30and I lasted there about two, three months. It was a horrendous environment. I feel for the people working in those sorts of places because you go in there and it's like it's 120 degrees Fahrenheit. You've got molten metal spilling around all over the place. The fumes are terrible. I'll get home at night and have a wash. It's black. The water's black. And then another couple of sinkholes of water and my hair's black. it's like you know i wish you could it now but of course it's that boat's sailed but so so it was so i went there and i was at a technical college at uh chesterfield yeah uh looking to do metallurgy which wasn't exactly what i wanted to do but it seemed like a good path and had a motorbike accident on the way to college one morning and uh i thought i don't know why i'm doing this i'm not enjoying it yeah yeah traveling from derby to chesterfield and so i said the good thing so I'll wrap this up and go and find a role in tech and I got my first role that was closer to tech but not in tech which was was quite disappointing in some ways and so what was the journey then on sort of going on the path to you day in the mid 90s oh wow I mean there's a lot of stuff happened between those two points so the the job that was nearly tech but wasn't I ended up decollating paper coming out of a printer.

6:55So you have three-part paper sets coming out. Now, my job is to separate those out and deliver them around to different offices. And I thought, well, it's a piece of technology that no one had in mind. And I was looking pretty miserable one day. And one of the ladies there said to me, what's the problem? I said, well, I want to really work with computers. And she said, well, her husband is the computer manager for EW Bliss. it was another big industrial pressing company in Darby on City Road. And I sort of went along there and he said, look, you know, listen, why don't you come and just spend two weeks with us?

7:29And I said, well, I'd love to, but I have no holiday left. So he said, well, you know, quite a tech two weeks off. I said, no, I'm not going to lie to them. So I'll pack my job in. I'll come for two weeks. If it doesn't work out, I understand, but I'll give you everything. So here we go. and about six days into it they said they're gonna give you the job and this was writing computer software at that time in a program language called COBOL common business oriented language and I found it really easy really easy and had this this guy that a guy called Jed Dunkel 26 years old one of the few people who could say he actually had a computer science degree and he was really smart and he decided that I was pretty good he could get me to do all sorts of things and he could sit back and watch and that suited me because I would end up learning so much stuff I could always turn to him for advice and stuff like that and I was doing all the work so in the end he left and I ended up picking up his role and then probably by chance about a year later someone from the National Bus Company came in and they were trying to convert some data off magnetic tapes and they were having real difficulty with the utilities they were using to do it so I asked them if it could help and they explained what they were trying to do I said well that software is not going to do that for you but if you give me an hour I'll write you something that will do it for you and he thought that was crazy so I set about and developed this program compiled first time and did the job brilliantly much faster than the thing they were trying to do and it worked and so he decided to offer me a job and i said to my boss who gave me this break he's offered me a job here well he's here it's a bit unfair he's come to use your computer and now he's trying to think it's too sorry but but that's the way it is anyway he was a really good friend a guy called tony board dead now but he he said look you know it's a really big opportunity for you you know if you if you want to go and do this do it but just give us enough time to get someone in to yeah have to replace what you do, which I did.

9:33I joined National Bus. This would now be coming up to the latter part of the 70s. And I'd learned such a lot of stuff from this 26-year-old. And all the staff there seemed to not really read the manual. So I was like a walking encyclopedia for all the questions they had. I didn't mind. It was fine. And then at the age of about 18, 19, they then give me this team of people in national bus to to to manage which i did and i was sort of doing that quite happily um but but but i got to a stage with it where i thought you know i really want to try and venture out and do even more so i went for an interview at vickers in newcastle uh the shipbuilding yeah all right and well military and shipbuilding but so on the on the scotswood road uh there you go name dropping a nice name so and i went there and i'd been reading these manuals about the work they did on this operating system I'd never seen before.

10:30And I turned up for the interview and the guys say, you've not worked on any of this, you've got no experience with it. I said, I know. Why are you here? I said, because I've read all the books, I know everything there is to do with this thing. I spent hours going over them. I'm pretty sure I know everything there is to know about this thing. They thought it was impossible. I said, well, look, let's cut to the chase. Why don't you get some of your top guys and get them to fire questions at me? Yeah. and see how I get on. Anyway, of course, like a red rag to a ball, this young whippersnappers come in, and these guys are now going to these things.

11:04So they asked about an hour and a half of questions, and they stopped, said, have you got any questions? They said, well, maybe I've got one, and it might lead to a second. And I said, the first question is, I believe I answered all those questions totally correct. All right, am I right? And they looked at me, I said, yeah, you're right. The same question is, when do I start? And there's no mobile phones in those days. So I'm driving back down to Derby and stop en route at Scotch Corner and ring the staff agency, got this consulting interview. So it's a contract position. And they said, we've been offered a ridiculously high charge outbreak for you.

11:47It tells you you're going to take it. So I took it. And I owned more in the first three months there than I had done in the previous two years. And that set me on a path that there's some value in all of this that can be done. And is that when the ambition began to kind of harden? I thought, yeah, I found technology. It's never easy. It's never easy. I found technology something I could master. Yeah. With enough effort, I could do it. And as things got on, I got better and better at doing that. Now, roll the clock forward, you know, 50-odd years to now, and I've probably programmed more than, probably getting on for 20 programming languages during that time, all of which I had to retrain on or learn about to do, and all of which I found some were interesting, some were better than others.

12:42But the principles were the same. Yeah. Have you found it more difficult as you've got older? Because that's often one of the things, right? No, no, I'm not. You know, I mean, again, I suppose the young guys working with me now probably say, yes, he has. But I don't feel it, have I? And my productivity certainly doesn't seem to have shown that. And as we got through two or three more businesses which are built and sold, I then had this opportunity to move to America. and you know it was really weird because i got two two young kids one aged three one aged 18 months and uh and i said look i've gone for this interview and we can move to the states and we did move we made the move and it was fantastic for me uh to see the scale of technology that was available to companies over there the contrast was almost like you know it's almost like someone you're making do with a with a push bike and these guys have got you know limousines it was that big a step up into no not the principles the amount of money that was available to invest in technology made what we do but there was a flip side we always had to work with really low power, low cost equipment.

14:03You just have to try harder with that. You have to try harder because otherwise you'd have anything done. Whereas these guys would have 20 computers where we would have two or three. And that to me was a really interesting point. And over there, everyone seemed to get promoted every nine or 12 months. And some of them, some of them barely got four or five years experience, didn't even really know how to write programs, but they were still getting promoted and i thought at the time there has to be a way to do what you enjoy doing which for me was writing software without having to move into becoming a director of something to earn lots and lots more money and i found the way of doing that so whereabouts were you in the states then so i was in a place called chelmsford and wang laboratories were placed in a town called lowell yeah it's about 35 miles north of Boston.

14:54Yeah. Lovely, lovely environment in terms of the sort of living environment around there is fantastic. Obviously, New Hampshire just on the Stokes' throw away and loads of coastline, which was lovely. So I spent about two and a half years over there, really enjoyed it. And then, of course, the grass is always greener, isn't it? You know, so, you know, we decided we'd come back home and then got back. Three months later, I thought, you know, we should back over there. Yeah. So I had about a year or two not feeling to come to another place, actually. Wish it was full of discontent, but hey-ho. And so when did you start U-Day then?

15:29When was this sort of like you saw the gap? Well, so there was a, after Wang, there was a company called Minitech, which was basically producing computer software that, based on the experience I built with working in Wang, was able to make those computers run much faster. Yeah. And I mean, much, much faster. and so that was really successful. We got to a stage where we were producing about 12, 15 million pounds a year of revenue, very profitable. One of the aberrations was I built a hotel while I owned that business. The property crashed. The value of the hotel went from 17.6 to 4.5 million within four months.

16:13And I owed nine on it. So you can imagine how that went down. but we managed to be able to scrape through and service a debt and so on and so forth and eventually sell it for 12 but i'd lost six or seven million on the back of that but it was a great project hotel still standing today it's the michelever court we've seen it so and so so it got to the stage where my feeling was that you know there's there's a lot more to be done here and on the back of that we built up more and more behind many tech to have to develop hardware systems that were sold by wang and then wang went into chapter owing us a lot of money a lot of money uh you know millions and you know they were never going to be able to pay it it had gone it was in chapter 11 and you know and but my feeling was the wang family must be in tatters with this because they had a business worth several billion, and now it's about to go crumbling.

17:11So I flew over to the States to see if I could actually help them find some way of creating value out of what it is they had. And they thought it was going to chase the debtors. I said, look, that song is coming. I know I'm not going to get that back. But on the back of that, I met a gentleman from actually from near Reading, a guy called Jeff Shingles. and he was the UK head and eventually European head for digital equipment and I stuck with a really good relationship with him and that really helped me in a lot of different ways going forward. But the transition was that on the back of Minitech being squeezed because Wang went into Chapter 11, we had to recreate the business and the Wang market was gone.

17:57So I decided to develop some software that was on PCs and it would be used to measure the productivity of PCs and their users to spot things like, you know, this secretary could do with training on Microsoft Word or something. Yeah, yeah. So on and so forth. And that was going really well. Sold that business to Platinum Technology in the States for a lot of money. And then on the back of that, I joined them for about 18 months as head of new product development and then decided I really wanted just to start something else. had a local friend uh who wanted to start a dating agency and uh i said i have no interest in that but whatever we got building an internet one and and that's where that started uh and that was like late 90s yeah so we started the business in 99 yeah okay so the internet was bubbling at the time you can imagine it was absolutely really buoyant exactly and you end up exiting that for sort of 10 million well a lot more than that i mean the the reality of it was that um we were looking to float the business and of course the bubble burst for the internet literally just before we were able to get it away so sooner than be able to raise a quarter of a billion dollars to fund the business we ended up having to scrub around to find a company with some money in and do a reverse takeover of that cost us a lot of stock and we raised seven and a half million which compared with a quarter of a billion.

19:25So we ended up being the least well-funded startup in dating that there was at the time. And that was really interesting. So the team seemed to think that seven and a half million would be enough to get us going. I always had doubts. And within six, seven months, we were nearly out of cash. All right. You know, they'd spent it all on advertising and stuff like that. And now it's like, you know, it was gone. And I said, look, we need to really sort this out because what we've developed is really good. So we have to find a way to make this successful. And we ended up in a scenario where we had probably about maybe three months' worth of cash left to survive.

20:10And we found a business who had even less cash than us, had a much bigger user base, but wasn't generating that much money. Okay. So the idea was we take our product, which was much better than theirs, buy their business into ours, give them stock for their business as part of the combined entity, and then use our platform to grow it. And we went from being probably in the top 100 to being the number two within nine months of that deal. Wow. Okay. So that's quite a change. And then you exit it. And then there's a period between there and Candy Crush and King, right? Well, not really. not really no i mean it was quite interesting because the whole candy crows well the whole king or what was then called minus player scenario was bubbling around just before we sold udate and so so what happened was i was looking to raise money to expand udate and from a company called benchmark capital really good beast and firm and um we met with them and and the uk guys said it wasn't for them uh one of their partners in the states was very keen to do it but for a long story short because we were public they didn't feel they could find a way of doing it but ricardo zaccone who was the ceo of king i asked if he could join us he was an entrepreneur in residence at benchmark i really liked him rating really high smart smart guy i thought you know could we hire him do you mind if we approach him anyway ricardo said he'd join so before we about a year or so before we sold uday ricardo joined uday okay all right and and then we hired a guy called toby roland tiny roland's son yeah so he also came into you date so toby and ricardo who were the the two ceo the joint ceos for king for quite a while were both working with me at uday when we sold uday they both made a reasonable amount of cash not massive amounts but a reasonable amount of cash out of it the business sold for 150 in stock by the time people exit it was 270 million yeah and and basically they ricardo had some friends who worked with him at spray in sweden and they'd started this little gaming company so ricardo said you know now your date's gone i want to go and do this and toby said i'll come with you and so they both went off to do that and found that it was more expensive to do it than they thought it was going to be and they always kept in touch with them so about three four months later said look you know we need some help will you come on board this chair and will you help us raise some money so i said sure love to work with you guys fantastic opportunity and no one wanted to know i mean literally no one wanted to know we scoured europe all over the show looking to try and raise money for what was then my list player no one wanted and uh we got to a situation where you know we're probably coming up to christmas and the lights were going to go off it then got some money um and my feeling was that i had to make quite a bit of money out of out of you day really liked and rated these guys and the team that in sweden really well so i backed it i said look you know just don't worry we'll fix it and we signed the paperwork on christmas eve of 2003 yeah all right and and that set and i stayed through to be chairman of that business with them uh for the following what would then be 11 12 years till it went public in the states and um and eventually raised money lots of money but but you know no one wanted to know until we were doing you know probably close on 30 40 million of revenue a year you know and what was it that you saw the opportunity there in mobile gaming like well i It's fair to say I saw it because I think Toby and Ricardo saw it very clearly.

23:59And I was backing them and the team more than the market opportunity because there wasn't a lot of money to be made in gaming at that point. Lots of money in gambling, but not in terms of games. And mobile had only just started really, you know, smartphones hadn't really kicked off. And it wasn't until, I suppose, you know, you probably heard of Zynga. And, well, you know, so basically Facebook had partnered with Zynga. And that had basically created a billion-dollar business in Zynga with games in some of which were not that, you know, elaborate in terms of trying to be kind here, not that elaborate in what they did.

24:38Foreign villain, things like this were on the platform and stuff. So we looked at that, and credit to Toby and Ricardo, because they spotted that smartphones were coming. But it's hard to suddenly market to smartphones. Easy to market to Facebook, but it's not easy to market to smartphones. So they managed to get Facebook to do another deal alongside Zinger. It wasn't quite the same. And we were able to ride the Facebook graph, the user base, into the mobile platform. And that was a massive, massive breakthrough. Yeah, it was. And then, credit to Ricardo, the team had spotted that basically the games we were promoting were tournament games.

25:29You and I could play each other at pool. Yeah. Right? But you would have 3 ,000 or 4 ,000 people play. And one would probably win 4 ,000 euros. And I remember saying, the problem with this model is that there's 3 ,999 people who don't want to talk about it. That's only one. this is right i got four thousand euros in this thing here and uh and that's where the the whole concept eventually of where candy crush was what it was was that first it was candy crush saga yeah saga because we needed a game that was never going to end yeah okay and that was really important otherwise you're going to keep recreating it and and all of a sudden candy crush saga was a league it wasn't a cup the tournament games are a cup you you lose you're out you win you stay to the end you get a prize but the league and everyone said where's the league going to come from the guy said it's simple it's going to be your friends we're going to get this game we're going to give people free lives to a degree and after a while they'll have to wait for more free lives or they can introduce more friends or they can pay yeah and most people didn't want to pay in fact i think sort of like 3 % of people ever paid for Candy Crush.

26:393%, all right? And it was still, I mean, at peak, before we sold, it was doing just under$10 million a day of revenue. And even today, I hear that even under Microsoft, it's probably still doing about the same. Wow. All right. Yeah, yeah. Absolutely. And it was a business model, but I take a small amount of credit for being part of the journey for it. And I pass most of the credit on to Ricardo. Sebastian, Lars, these guys who were the powerhouse behind the business. But yeah, it's almost completely, yeah, it's quite a new business model that you've sort of introduced and so on. Yeah, it was. Are you a fan of Jimmy's Jobs of the Future?

27:19Hi, I'm Sonny, one of the producers behind the show. And we don't just make this podcast, we produce some of the best business content out there, working with global brands and founders. Over the past year, we've flown around the world and demand keeps growing. And with four prime ministers trusting us with their appearances on this show, you're in safe hands. So if you're already in the market for a podcast or standout business content, why not start with us? Drop me a line at sunny at boxlight.io, try our podcast calculator, or book a meeting at boxlight.io. That's boxlight.io. Now, back to Jimmy.

27:55So you get to 2014, right? And your IPO on the New York Stock Exchange, you go from being worth a few million quid to hundreds of millions. what's then going through your mind in terms of like you know what am I going to spend money on no I never really viewed it like that and I probably don't probably don't have the same I didn't want to make trillions it was never in my mind that I was like you know so my lifestyle hasn't changed probably since probably 2003 all right yeah it really hasn't it's not changed at I still have a nice car, great house. In fact, the house I'm in now rebuilt, I actually had the plot on the house before that since 1989.

28:39So my lifestyle didn't change. I had an apartment in Spain and so on and so forth. So I didn't really have this sort of, you know, well, let's look at this thing. I have me now grow this or whatever. And I wanted to do a number of things to try and help people. So the first one is I set up a charitable trust. All right, it's still going today. We've helped lots and lots of people. We've had a very wide remit, so it's in medical, sporting, and research technology. And we've helped, known as cancer patients, help with treatment. We've funded lots of projects to try and find cures for different things.

29:17We've still got a kidney dialysis project going now called iTrend, which we did with Nottingham and Dalby University. That's coming to an exciting phase now, where that's about to do a product phase. but looking really, really good. And we helped some amateur sports people get back in. So we've got Genevieve Somerville, who's one of the UK Olympic ice skating champions. And she's been nurtured by the likes of Robin Cousins and people like that now, so that's good. We've got a number of tennis players and golf players, amateurs that we've helped on their journey. and of course and then you know i got involved with with derby i've been involved previously and uh you know as much as i i don't want to haul over the coals of that you know we nearly got promoted on several occasions and things would be very different had we pulled that off but you know sometimes two goals short of where you need to be and uh the last attempt you know what does it feel like as a as a chairman director when you know that ball goes in the net in the last minute at Wembley and you just sit there or you know the game against Villa and you must what's running through your head because not only are you having the disappointment as a fan you're sitting there as chairman thinking it's tough it's tough and I think it was tough for the fans it was tough for the club it was tough for Frank it's tough for Frank and I know people say well there was all sorts of discussions around team selection and stuff like that.

30:50But, you know, Frank had a plan, okay? And it was entirely his prerogative to have that plan. I think we all thought, you know, Murray should have started and so on and so forth. But he was closer to the fitness levels and things like that. And I'm sure that probably in his mind was if we can get to half time at 0-0 or at a draw, Murray would come on and probably give us a chance to win the game. I think it's fair to say Villa had a very strong squad a very strong squad i mean you know some real talented what they went on to achieve yeah but but i think what what frank had achieved during that season you know the second leg at leeds yeah which starts to be one of my favorite games of all time they're just fantastic united away yeah i mean so he did some fantastic things with with what he had to play with and uh so so you know it went the wrong way and it's like my first reaction was get down there you Show support for Frank.

31:43We lost, but we have to brush ourselves down and go again. And so that was brutal. And it is brutal. But it's a game that is fine margins. Fine, fine margins. You obviously invested a lot of money in, so north of 200 million, right? What else? There's obviously transfers and salaries, which everyone kind of focuses on. But what else did you kind of invest in and around the club? black-white kids jobs we completely redeveloped the training ground i mean it was probably increased its size by 70 percent another six seven pitchers put a proper 4g uh pitch in there a five-a-side outdoor pitch put a brand new gymnasium and uh swimming pool and leisure center in i mean several million dollars of working there and and the plan was always to try and develop the youth and hope that they would carry the value through for us but as things got tight particularly after covid you have to keep the lights on and you know yeah sometimes unfortunately those decisions aren't as easy and you know you're running a championship club i don't care which club it is in the uk if it's not a relegated premier league club it's not a you know a sort of a i suppose a relegation payment club then you're talking of a million to two million a month just to keep the lights on.

33:11That's what the owner has to put in every single month just to keep the lights on. But there was also a period where it's become known in Derby County folklore as like Derby goes to Hollywood, right? Like there were signings of Frank Lampard, Ashley Cole, Wayne Rooney. These guys had like 350 England caps between them all. It's like, do you feel you sort of tried to accelerate the sort of promotion push? Yeah. Yeah, I mean, yeah, it was always my dream that it would get promoted. It was always my dream that it would get promoted. And, you know, what I feel is always the challenges and to which club you look at, you know, no matter how much money you've got, it takes a while for things to gel.

33:53Sometimes you can just hit it right. But there's a time. There's a time for a club. There's a time for a team. There's a time for a manager. And we can look around, you know, Club A, Saks Manager A, and he goes on to another club, he's mega successful. Would he have been successful at the other club? Who knows? It's really very, very, say, fine margins and lots of things that can catch you out. I mean, first season of ownership, two of our key players injured. One injured in pre-season training. I mean, what do you do? Do you say, well, okay, well, we'll write this season off and just write it out?

34:30Or do you go and buy to try and compensate? and I was always trying to push it forward and that ultimately became my downfall with it. And, you know, again, bitter disappointment as to how it ended, but, you know, let's not lose sight about it. Football clubs were probably the only business where the government said, you've got to keep doing what you do, but you can't have any income. Yeah. We were the only sort of business I know of that were in that situation. It was lunacy in many ways. I can understand why they're one of the people to be able to watch football. But, you know, when you're losing the best part of 20 million of revenue, you know, it goes out.

35:12That's absolutely going to rocket your losses, you know. And what was the decision-making process like for putting the club into administration? Agonizing. Agonizing. You know, agonizing. And, you know, I think that, you know, to me, the hardest decision ever, the easy one is just to keep going and keep going. but I knew I had to fund the administration process, right? Because otherwise, you know, the club would have disappeared. So I had to make sure there was funding there for the payroll in administration, right? Because that was critical to keep that going. And, you know, credit to David for stepping up and picking the club up.

35:51And I say I only have two wishes there. One is, A, he has more luck than I had and also has more success than I had. and I'm sort of really keen to see the club succeed and this is why I don't give many interviews. I don't see the point because it doesn't help the club. No. Okay, it doesn't help. Do you feel like you need to apologise to the fans? I said many times over that I'm sorry for how it ended. No question mark about that. I know the fans felt that But probably, you know, they probably felt more nervousness at the end, all right, not realizing the fact that I was bankrolling a lot of what was happening during the administration.

36:39All right. So, you know, I didn't probably have quite the sort of, you know, I suppose the sort of disaster view of what was going to happen. Of course, everyone got involved, MPs and all sorts. Didn't help. and of course and and i still say that you know the big part of this is the efl's process of being able to sell a football club is broke yeah it's fatally broken all right it's fatally broken and what i mean by that is that if they want to do something to help clubs to find owners they should before someone is able to even make an offer on a football club they should actually validate them and certify them as knowing that they have funds and will be accepted as an owner to a particular level of funding.

37:29Okay. And they should charge that individual 50 or 100 grand to get a license. The license would say, you've been approved by the EFL to this budget and you can get a deal done in a week. And these clubs that are teetering on the edge would be able to find things so much easier and faster as opposed to wasting time, meet with someone, validate them yourselves, check they've got funds, submit the paperwork to the EFL, wait four, five, six weeks, don't like it, want more details. That's disastrous. Why do you not think they do that? To me, it strikes that football has only become professionalised in the last sort of 30 years or so.

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38:14I'm going to put it out. I don't think that's correct. I think that the Premier League it is. They've got some really good things there. I think as you come down the pyramid, I think there's a lot to be left on the table there. And I think that media rights in particular. I mean, the last media rights deal, it's always, this is the biggest one we've ever done. Yes, it always is. But only look at one thing, the delta between the revenues of non-parachute clubs to parachute clubs. And the delta has never been bigger than it has been this last year, in spite of the new deal. So what does that tell you?

38:55Because you always said it was the championship was undervalued by it, right? What does that tell you? And it's a millstone for championship owners. How did you feel? Look, we won't go on about it forever, but how did you feel that day of the march, right? Because it was a pretty strange day. and like quite an evocative day but there were sort of you know effigies and mel morris club killer i mean listen it's going to be you know i mean that's yeah there'll be some fans will never ever see any of the view and other than what they take you that that's fine i'm okay with that you know but i i think the reality of it was it was really hard i tried my best to try and get the club promoted we did lots of good things did lots of things that didn't work out and you know but But we lost so much time with buyers that we took too long to get approval from with EFL and a number of tie kickers.

39:52Whereas if EFL did what I said, you would have none of that. Yeah. So you almost have a pre-prepared marketplace. Yeah. And they wouldn't tell the potential club how much they're actually approved for. Yeah. Of course, that's a negotiating point. But at the end of the day, they would know what budget they can go to. And literally, they could get a deal done in one week. Yeah. it would revolutionise it what are the things that you wish you'd done differently you know I mean all sorts of things I mean probably have been more patient probably more patient I think I was too desperate to see it succeed alright I should be more patient I think that was probably the key thing yeah and you know things like well two players got injured tough you'll have to deal with the squad you've got yeah it's an example of this yeah yeah you know, but it gets harder as you, you know, it's tough.

40:46It's tough for any owner. It really is. And very few owners come out ultimately the other end with the fans being supported. Very few. Do you wish you got involved at all?

40:59I mean, listen, I suppose the fans would say I wish I hadn't. I mean, you know, in some ways I wish I hadn't. All right. Yeah. You know, in some ways I wish I hadn't, but not because of the money lost. because I was gutted with what happened to the club in the end. That's the hard part, not the money. Can you still enjoy it now? Yeah. I literally want to see them win every game. I want to see them get promoted. I want to see that. I hope that happens. Well, let's move on to the sort of new area that you're kind of looking at, and the main thing while you're sort of coming out and giving interviews again.

41:38Kippurah AI, right? And we've demonstrated your ability to spot trends or be part of teams that have spotted trends, perhaps rather than yourself. Tell us about corporate AI and what it is and what it does. Well, the starting point was that over the years, probably from U-Date forward, I've ended up working with a lot of very talented people, some of whom I've grown with me. And so the team I've had with me stood by me pretty well, and we're still there today. So Corpora started really 2016. So 2016, Jojo Rock, my co-founder and myself were discussing many projects that we wanted to get involved, technical projects.

42:27And one of those was effectively to how you can actually go in, because the world's got loads of information, loads of information. I mean, far more than people even have any real comprehension of. And our view was, look, at some point, the more of that information you can actually take on board and process, and the quicker you can do that, and the more you can react to new information, will have value. It will have value intrinsically. And so we set out saying, well, okay, what's a large amount of information? and some people might think a megabyte or a gigabyte or a terabyte. And we were sitting there thinking that the internet's got so much data, so much.

43:09So we said, let's see if we can look around the technology that will let us manage even one petabyte, one petabyte, a thousand terabytes. And we looked around and we looked at technologies like graph databases, vector databases, natural language processing. And every time we looked at those technologies, two things occurred to us. One was they were too slow. And second, they were too expensive. And that to us was something, well, if we want to build this, we have to start developing some of those pieces ourselves. So we set out with a view to say, okay, let's have a clean sheet of paper. Let's reimagine the entire technical stack from taking a single document and being able to effectively pass that, to understand that, understand not just the text within it, but the concepts of it, the entities, the people, events, the actions, the times, and all the relationships behind that.

44:13If we can do that really well, we can do it really quickly, and then we can do that across many, many documents, we'll have a really interesting system. So we set out to build our own natural language parser. It's hundreds of times faster than anything else else. We built our own database technology, which is more powerful than a graph and a vector database combined, more powerful than a temporal database. And it provides an ability to be able to ingest on a relatively low cost, I'm talking about 150 ,000 pound server. Yeah. we can ingest two million documents a second a second two million a second okay the world doesn't even produce that number yeah yeah all right we can ingest two million documents a second and not just put them into a store somewhere we can actually tell you the relationship between every entity every concept every action every event that relates to every other event in all of those documents and as a new one comes in within microseconds we can relate that to all those things and if a new concept comes about we also know about that without and the system learns and teaches itself what it's doing meanwhile of course ai is gathering a pace what i call now more let's say mainstream ai a lot of the math behind that and what we do is similar yeah but but they they're looking to take a relatively small amount of data that they think is representative of the world and condense that down to a small model but it's it's a distillation of information it's a compression okay and and what it isn't able to do is to reinflate that distilled view back to what its original form was yeah which is why it can't give you the citations and all the other things With our system, we can query the data in milliseconds.

46:14We can tell you everything that relates to everything else within that. And we're able to do that fraction of the cost that you would ever do with AI. However, AI is really good at the reasoning pieces and it's really good at the summarization pieces. so around about 2021 just ahead of chat gpt a year or so before i said we now need to start thinking about how we reflect on what we have and how it plays with the models that are now being built yeah um and that wasn't easy initially but as we got further into it we could see there was a really great partnership here if you've got a system that's totally aware of new information It totally understands all the relationships.

47:00And you've got a model that's got a pretty good view of most of that, but not all of it. You put the two together and you can actually find things out. Neither technology on their own could do. And so what Corporate AI is today is it's built on the largest world repository of fully mapped, to graft, vectorize, and structure the information based on now 150 petabytes of world data. And we're able to keep that up to date in real time. Open source information. However, for companies, they can put their own data in as well. Yeah. And so what's your kind of go-to-market strategy with this now? Because I played with it a bit in terms of podcast and various different media models.

47:45And it's like, it's really impressive. Like, it's genuinely sort of mind-blowing. like what's your plan with it now because this is proper enterprise ai right yeah it is and yeah it's not chat gpt so someone comes to our site and puts in a prompt write my write me a thesis on doing this this and this we're not gonna do all right it's not what we do but if someone wants to to understand the topic and wants to understand how to push the frontiers of that topic then we can do a great job so yeah I mentioned to you someone someone effectively came to me the other day and just gave me four letters a four-letter acronym and said what can you with this I knew it was a med tech thing but I didn't say I just put in the four letters and in two and a half minutes I got 400 pages of fully fully completely correlated content on this form of cancer that actually affects young children and it's currently incurable and the correlations of that information we've now fed back to a team of researchers working on that and they've said this transforms what we understand because people can't take account of all that stuff and the problem with something like a chat gpt and even some of the google and over now our deep research offerings is they're looking at a fraction of the information out there a fraction.

49:09They've got to produce a really, really eloquent and nice report, but it's never going to touch the breadth and depth of what it is that we can put in. So the answer to the question is, and we've realized now there's no point in putting out a subscription model because that's a chat GPT. That's what they do, and they do a good job with it. What we're doing is we're trying to push frontier research, people who want to stretch the boundaries of science, of life sciences, of biotech, of medical, of material science and those things to new heights where you've got doctorate level people who think they already understand the topic, but then they look at the output we're producing and say, wow, we'd never thought about the connection to that or how this works over there.

49:58So people are creating and designing absolutely groundbreaking technologies using corporate AI. Today, we're not charging. Zoom are about to do so. But it's not going to be a product that someone in the streets or even the professions is going to be able to afford or to log on to because that's not our market. We're looking for frontier research where people are spending millions to try and develop new science, new medical type scenarios, those sorts of things. And why? What most excites you about it? think it's actually the discovery, the discovery this thing actually has. We've got one firm that's using it and they produce some really fantastic technology.

50:46And if you ask them what's their biggest fear, they'll tell you that their biggest fear will be that some like-minded scientists had access to our platform because it provides that almost holistic view of the science around so many things. And we've been using it internally for two or three years now. And a team knows things about stuff that you would never imagine their background would allow them to know. one of our guys, his father recently has been ill and he was able to tech-task some of the people treating him and argue the case. Look, here's what it is. Here's what you need to think about.

51:31And it's not even trying to be the sort of, it's not like going to chat GPT. I've got these symptoms, what have I got? We're talking about serious research documentation that can point to a causal link between things and can pinpoint genetic makeup and variations of things that would take years for people to do manually or with other technology. Do you agree with sort of Dennis Hassebis' line of we might be able to cure all diseases and cancers within 10 to 15 years? Yes, apart from the fact I think it's a moving target. So as we cure diseases, disease will evolve. So I don't think you ever get...

52:11If you said all the diseases known today, will that be the case? Yes. But there'll be new diseases that we won't have taken account of. Now, you know, I don't know if you've seen the rare disease marketplace, but it's really interesting. So the treatments in a lot of the rare diseases and are you a Star Trek fan? Possibly, no. Okay, well, I'll give you a story. So the guys in Star Trek, the doctors called McCoy, and they go back in time. and they go back in time, and they're in this hospital, which had been about the time now, and they're walking to this hospital, and they're from the future, like 500 years forward, and the doctor says to this woman lying on this trolley outside of the ward, she's in agony, what's wrong with you?

52:56I'll wait for dialysis. He says, oh my God, they're not still doing that, are they? So he goes into his bag, and he pulls out a pill, and he says, take that, you'll be fine. And that pill, in that scenario, would have been a pill that could only work by modifying her DNA to correct the problem with her kidneys. Well, with rare diseases now, the pills, the treatments they're creating are treatments that effectively modify the DNA of the individual with the disease to cure the underlying cause of it, as opposed to just treat the symptoms. And you look at these things, and one treatment can be$2 million or$3 million.

53:35And, of course, no one can afford that. So the drug firms will sponsor many of those things. It's fascinating. So we're getting to a stage where that prophecy is about to become a reality because we're going to be able to literally say, okay, we can take a pill to cure pretty much anything. We're somewhere fit for the moment. And there's so many things that we're working on as a species that I think are fascinating, absolutely fascinating. How much has your experience kind of impacted wanting to look at these scientific discoveries and so on? Oh, so much. I mean, besides technical stuff, at school, my favourite subject was physics.

54:20I was shocked, almost horrified. About a year or so after leaving school, I realised my physics teacher had lied to me. Okay. And he lied to me because he taught us in physics. there were three particles in an atom. And at that point, there was 37. And I was fascinated with where do all these particles come from? What do they do? And so I had this obsession, I suppose, with nuclear physics, which I've had the luxury of being able to indulge in and read books and stuff like. And people like Richard Feynman would be one of my heroes on these sorts of things and so on and so forth. So, you know, I'm fascinated by the stories of, you know, Isaac Newton and falling apples and Einstein on a train and thinking about the speed of the train and speed of light and things.

55:10So I always had that fascination. I've always had a fascination with medical stuff. Yeah. So those things really, to me, this is a great way to indulge in some of that, but also to be able to, if I can spot some of these connections, what kind of real expert in these things? you know i mean it's like you know come on they haven't got the tools i think one of the biotech firms i spoke to recently their ceo sunday will be said my people have fantastic judgment yeah they have really good you know ability to comprehend things missing the knowledge and what he meant by that was he wasn't just saying they're missing the knowledge of their particular domain they're missing the knowledge across all of the domains yes because they were taught to go down a specific path and therefore if there's a process in biology and their field was chemistry they're not aware of it yeah and and what our product does is it pulls together all those cross-domain concepts so people can see okay all this stuff's there now wow we can do this but don't you think it's also be the agentic side of it right because you've still got a you know if you're the biologist and you need the chemistry sort of inputs it'll be the agents that are able to be searching for that in cyberspace.

56:27Yeah, listen, I'm not decrying agentic AI. I mean, we have a process at the inverse which achieves similar things but with much faster speed. Yeah. So what we built with Corpora, you might have used Google Deep Research or AI. So you put in your prompt, okay, and you see it going, oh, he's fantastic. I'm building this research plan. I'm doing this. I'm fetching this stuff in here. I'm doing that for you. I'm going to go and do this. And I'm preparing the report. I'm fact checking it now and I'm going to come back and about 5, 10 to 20, 30 minutes later, you get this PDF. Yeah. There you go. There's your answer.

57:05Damn, I asked the wrong question. Okay. All right. And by which time you think, oh, I can't be asked to wait again. So I'll now do this with it. So, all right. Okay. We've been there. We decide that's not the way to do research. If people are researching a subject, they get into a stream of consciousness. and therefore you have to provide information that almost leverages that consciousness if you don't and i switched off what was i working on yesterday what was it today what was that so we built an interactive tool with corpora where you literally can say okay i'm gonna start with this but now i've seen this i want to drill down to that and we're talking about seconds to get back the response to that as opposed to another five or ten or fifteen minutes so the stuff that agentic guys going out to do we're delivering in seconds and we're looking at 10 20 30 times as much information as these agentic products could ever have the time to go and fetch how much of this ask for like how much of this is a personal mission right because when we were talking about the derby county stuff you didn't actually bring up that you also got cancer during that time as well which i thought might have made up part of the decision making framework and you lost your best friend as well.

58:19Well, you know, I mean, again, there's all sorts of things going off. And, you know, people don't. I mean, people never want to hear those excuses. No. They never do. So I don't bother going there. And, you know, my view of it is that, you know, you swallow those things and you get on with it. You know, you just get on with it. And, you know, my best friend was Jeff Singles, who I mentioned to you. And he died ultimately from COVID. and even now I get a lump in my throat thinking about it because he was fantastic. I've got another best friend now. He's Ken Alyssa. He's the Lord Lieutenant for London.

58:55He ran Wang in the UK and Jeff ran Digital and the three of us got really well. It was really a fantastic friendship. But no, I mean, so you don't care. You just don't. Yeah, but it's interesting you don't because you could. Yeah, no, it doesn't matter. So, yeah, all the fans quite rarely care about is the club and making sure it's successful. Okay. You know. Let's talk a bit about skills and skills in the future, right? Because I think it's, there's two parts. What do you look for when you're, well, first, what would you, what's your advice to a 16-year-old now? If Mel Morris was 16 in 2025, what would he be saying to go and do?

59:41because you're not academic, but you are quite bright. Yeah, listen, you could write my academic credentials down on the smallest part of a fag pack. But I do have an insatiable appetite to learn. And I think that's probably the key thing, whether it's new programming languages or science, whatever it happens to be. So I'm inquisitive on those things. my advice to a 16 year old would be you've got to find something you enjoy because I made the mistake of things I didn't enjoy in early stages it didn't work out so sometimes it's hard to find so you've got to do a lot of research about what you personally want to do and enjoy doing and then it's the hard yards I don't think there's any there's no overnight formula I'm successful in technology because I had a knack for it but actually put loads of hours into it.

1:00:40I mean, sometimes even now I'm doing 80, 90 hours a week with tech. And he's still coding at night as well. Yeah, absolutely. This morning before I came in. Yeah. And it's something that I enjoy doing. I love having a really young and really talented team. And that's great. We've got some really great computer science graduates on board now. I've really grown massively. They're a fantastic talent. I mean, fantastic. and if this is as successful as we suspect it will be, there'll be very wealthy guys in the future of this thing and deserve this. But I think 16-year-old, it's about finding things that you enjoy doing that are going to be able to think that you said, would I get up at 6 in the morning or would I still work on that at 11 at night?

1:01:28If the answer to that is yes, you probably wouldn't. You wouldn't feel that's too big a chore to do that. Then you probably found something you're probably going to be successful at. How did you find the difference between recruiting in the private sector and recruiting in sports? Because presumably the passion bit in sports is almost a given. The contrast is so, so stark. In football, we reward failure. We reward it. That's the model. We reward failure. You know, highest paid manager is the guy who gets sacked a month after he got hired. Right, yeah, okay. Okay, yeah. We do. A player who's signed a contract but can't be bothered to kick a ball is the highest paid player on a time on the pitch.

1:02:20So we reward failure. Not to say we don't reward success as well. We reward failure. In business, we don't reward failure. Yeah. We just don't. you know someone's not performing their job we sort it out don't we yeah if that means that they lose their job they don't get a pass the end of their contract um yeah very rarely anyway so so it's a different mindset and and when it comes to recruitment you know i think it's very hard and you know i think it's hard anyway hiring people yeah hard anyway and you know we've made one mistake in probably the last probably two now in the last four years in corpora shouldn't have hired the people one was a lovely lady and we said look it's just not working out she agreed and we said look you know listen it's just not a good fit, simple as that and so I think hiring people who you can tell and the people we've hired recently all came because they wanted to learn from the likes of Joe or from me or from others in the business and their reason for coming was because they were really good at what they did already they wanted to learn more they were greedy hungry to go more yeah and and that's that's the secret in what i do in tech all right uh it's much harder in sports uh it's probably easier in single you know single sports you know yeah yeah if you're in tennis or golf it's like it's down to you isn't it um yeah how did you find recruiting for managers like it's hard isn't it because you have time to chat things through, you look at stats but it's really hard.

1:04:01It's all about the sum of the parts isn't it? It's about the sum of the parts and a good manager with this team might get bad results. A bad manager with this team might get good results. You can't really actually work out sometimes how those things are going to play out. You hire a manager and two of the key players want to be out. It's difficult. So it's far more complex than it looks, and credit to those that do it well. Easier to hire AI. Yeah, yeah. I mean, technology's easy because if it's broken, you fix it. Yeah. Okay? If it's not fast enough, you make it faster. If it's too expensive, you make it cheaper.

1:04:39I mean, they're all things that you can do, but you can't change what happens at kickoff time at 3 o 'clock. You can't affect that. You can't have an impact on that. How successful do you think Kepora could be? Could this be your biggest? Yeah, I think it'll eclipse everything I've been involved in previously. Not necessarily monetary-wise, I don't make it so much in that, but in terms of impact, oh, yeah, impact is huge. And, you know, lots of people now have had a chance to properly use it, people that have had, still use all the other technologies, there's Google D Research, OpenAI, Perplexity, you know, Ari from u.com, they have a chance to use all of those.

1:05:28And one said to the other day, what we've been able to get from this thing here, Eclipses, all of them put together, all of those put together, this Eclipses. And those guys say, well, I'll prove it. Happy to prove it. Yeah. All right. Happy to prove it. what what do you think the job market looks like in 5-10 years? Do you think we're going to see a big sort of disruption? Yeah, there's always change and you know there's a pretty good author called John P. Cotter he's got a great book on he says you know there has to be a sense of urgency, the rate of change is increasing it's increasing all the time the entropy in the world is increasing.

1:06:14We have to therefore gear up for that. And I think he's spot on. His view of that is absolutely right. And AI is going to change things. People need to embrace it. It doesn't mean to say they need to live by it, but they need to embrace it because there's things it can do that will save lots of time and probably allow them to do their job better than they might have done previously. So why wouldn't you want to take advantage of that? and academics are the hardest part of this because they see it as a replacement for that. I don't think it is. I think academics need to use this as a means of accelerating their knowledge beyond where it is today.

1:06:59And if you think you're an expert on something, there's still more to be found out than you already know, I guarantee it. Still more, and there always will be. There'll always be more things there. So I think people have got to gear up for that. And I think also, I mean, my grandson is involved in a local accountancy firm, the BizDev role. And he said to me, what do you think about it? I said, well, I'll tell you what. I've been to a bigger accountancy firm, and they're telling me that they actually have pretty big clients going to them, having tried to do their tax planning with ChatGPT, all right, and want them to endorse it.

1:07:36Yes. All right. And I'm saying, well, in that model, they just become an insurance company. All right. That's all they are. But they can't get insurance unless they completely recalculate all of what's gone on. So it doesn't save anything. But there'll be people who won't go to the accountants to get it checked. They'll do their tax plan with ChatGPT and hope that it's going to work out. Fit my deputy prime minister more. So some business will be lost. That's my point. Yeah. Yeah. But I think it sort of changes, because arguably, like the Excel spreadsheet should have finished off the accountancy profession in some ways, but it just evolved, right?

1:08:12Yes, of course it did. And I think it'll continue to evolve, as will the tech, as will AI. Now, my view of this is really interesting, because if I take a view, I hope you find it interesting, is this, right? is that essentially, let's assume now that we roll the clock back on AI. We say, right, we've got AI as it is today. We go back in time. Let's go back in time to Isaac Newton. And we effectively just put in to chat GPT, and Apple's just fallen from a tree. What does it mean? I guarantee if it had the sum total knowledge of the world's knowledge at that point in time, not today, it would have said, the apple's probably going to get bruised, probably won't be worth eating, should throw it away.

1:09:04Yeah. Okay? It certainly won't say, oh, that's defining a principle known as gravity. And it's going to explain why planets revolve around each other. All right? It's not going to do that. Or if he said, well, okay, now roll it forward to Einstein, a hundred years later, and say, okay, so now we're here. Okay? There's a guy sitting on a train. and he's pondering over the speed of the train and the speed of light. What does that mean? And he wouldn't have come up with a theory of relativity. He wouldn't have done it. He wouldn't have done it. So AI, absent human creativity, ideation, would stagnate.

1:09:46It'll take account of what we've done to date. Do a pretty good job of that. And it will probably be able to try and hypothesize things that might go on from there. But eventually, it would run out of hypotheses. If we don't use AI, we don't stagnate, but we don't progress as fast as we could. So for both to thrive, we have to have this symbiotic relationship between ourselves and AI. We have to create a virtuous cycle between AI and the human. And if we understand that, we both prosper. AI gets better we get better we try and do it alone we'll both eventually not do as well as we could have done by a large measure and if we rely totally on AI oh my god we're in real trouble then because we regress yeah we'll forget what we learned yeah yeah I think that's quite a big danger actually yeah yeah you know what more could the UK government be doing in it right I mean I wish you hadn't asked me that

1:10:55I think that I mean all governments are struggling with this so it's unfair to single out the UK for criticism that isn't applicable to the rest you say Western governments and some of the Eastern ones as well by the way so if you look at this scenario you'd say okay well what are we doing so well we're all investing in lots more GPUs okay as a There's a book I read recently called The Crossover. And it talks about the economics of that model. So it says, okay, let's just have a look at what it means by buying more data centers. What does that mean? We have to buy some land. We have to put up a building.

1:11:36We have to put this technology in place with it. Let's assume the technology is a three to five year write-off period, write-down period. How much revenue do we have to produce to defray all that expenditure? and the answer is it doesn't really stack up when you're looking like that and yet all the all the all the oxygen in the room all the money in the room is going to fund those things when actually there's more value to be created by the application of ai today yeah all right or working out ways that we can better use ai today and then it comes down to say well okay and i think that it's really important that the uk government in particular pays attention to the relatively small amount of investment it would take to stimulate encourage and leverage ai inspired driven collaborative ventures that can be done today that could generate massive amounts of value and that doesn't just mean value for a company but value for the country yeah in a way it could be really exciting a fraction of the amount of money that's all it needs but it needs them to be aware and then there's then the other piece of that that worries me which is that what do you do as a patent office when the number of patent applications goes up 50 to 1 yeah what do you do how do you cope with that how do you make sure that the real inventions that need to be protected are fast-tracked what do you do with that i i don't think there's an answer to that at the moment what let's just employ more people to kind of there won't be enough 50 times they won't be you can't do it and and equally so the people filing them don't really understand the tech that they've actually filed it for well that's yeah true but it's like we had zoe climbing here from the bbc tech editors making the point that samsung ends up submitting more pattern applications in the whole UK, right?

1:13:43I was really struck by that. Well, look, I could talk for hours about this, but I know you've got places to be, etc. I suppose the final couple of questions on the Derby side, it's like, would you ever, do you still get to go to the games? No. I don't think the fans would want to see me there. And, you know, listen, my clapping isn't going to help the team be more successful in the in the midst of the 20 ,000 that Guy became anyway would you want to be involved again oh you know involved in the club no I mean you know certainly one day you know I may venture back to to go and watch but you know I try and watch it I can't on TV and stuff like that and yeah so if I'm abroad I watch it on Rams TV and things okay yeah still watching through that yeah yeah fascinating well look Mel thanks so much for coming on Jimmy's Jobs in the Future it's been really interesting to talk to you and it's amazing to hear about how you're building kind of state-of-the-art company like in the East Midlands.

1:14:41I don't think that's kind of, you know, heard enough about. So that's kind. Pleasure.

1:14:56Hey, it's Ryan Reynolds here from Mint Mobile. Now, I was looking for fun ways to tell you that Mint's offer of unlimited premium wireless for$15 a month is back. So I thought it would be fun if we made$15 bills, but it turns out that's very illegal. So there goes my big idea for the commercial. Give it a try at mintmobile.com slash switch. Upfront payment of$45 for three months,$90 for six months, or$180 for 12-month plan required. $15 per month equivalent. Taxes and fees extra. Initial plan term only. Greater than 50 gigabytes may slow when network is busy. See terms.

From the publisher

The Rise, Fall & Reinvention of Mel Morris: From Candy Crush to AI & Derby County

In this gripping episode of Jimmy’s Jobs of the Future, Jimmy sits down with tech entrepreneur and former Derby County owner Mel Morris for an unfiltered conversation on risk, reinvention, and resilience.

From working in an industrial foundry to building global tech hits like U Date and Candy Crush, Mel shares the key decisions that shaped his career - and the high-stakes bets that didn’t always pay off.

He opens up about:

💷 Losing millions with Derby County

🍬 Why Candy Crush was more than just a game

💼 How he’s now betting on AI with his latest startup, Corpora.AI

This is a story of ambition, reinvention, and how to take big swings in business - even when the odds are against you. Perfect for anyone curious about tech, football, or what it really takes to build something that lasts.

**********

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