Will AI Kill White-Collar Jobs? | Matthew Wilson, Jack&Jill CEO

17 Sep 2026 · 1 h 2 min · 24 chapters

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In short

Whether AI will “kill” white-collar jobs, and how to fix the broken hiring process using AI agents that understand people and roles with nuance.

Guest backgrounds

Matthew Wilson is founder of Jack&Jill. He previously founded Omnipresent (started Nov 2019), which built legal/payroll/benefits infrastructure for distributed international teams; it grew rapidly during COVID (from 2 to ~400 people in ~3 years across 100+ countries) and was sold last year to Deel. He grew up in the Yorkshire Dales, studied physics/maths at Oxford, and was inspired by an Oxford dropout’s startup in Batley.

Key claims

AI makes applying and recruiting “infinitely cheap,” flooding employers with tailored CVs and overwhelming applicants with automated outreach. This breaks traditional job-search channels. Jack and Jill aim to replace keyword/CV matching with AI agents: Jack coaches candidates via voice calls, surveys listings, and sends only “10/10” matches; Jill works with companies like an executive recruiter to make precise matches at scale.

Notable examples

People applying to “200 roles”; employers receiving “1,000–10,000” applicants; outbound tools generating personalized outreach to “top 1,000” prospects; software engineering roles changing drastically rather than disappearing.

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

The Challenges in Job Recruitment

1:12 to 3:52

Discussion on the complexities of job applications due to AI technology.

“Matthew, welcome to Jimmy's Jobs of the Future.”

Jack and Jill's Innovative Solutions

3:52 to 9:46

Exploration of how Jack and Jill uses AI to support job seekers and employers.

“So this is the natural conclusion of what happens when you have a technology that automates some processes is that the processes become infinitely cheap and then over time these channels kind of stop working.”

Navigating Early Career Choices

9:46 to 13:08

Advice on career exploration and the importance of experience for young professionals.

“And imagine you could have your own AI that worked for you, that you could tell exactly what you wanted.”

Personal Journey and Background

13:08 to 14:03

Matthew Wilson shares his personal journey and how it shaped his views on careers.

“they don't have the people in their family or in their extended network that is going to be able to say, hey, I've worked in private equity for 30 years and I'm going to talk you through what it looks like.”

Inspirational Internship Experience

14:03 to 16:57

Learn about the transformative internship that shaped the guest's entrepreneurial journey.

“I went to grammar school in the Yorkshire Dales.”

The Birth of Omnipresent

16:57 to 19:05

Discover how the guest started Omnipresent to address global remote work challenges.

“How did you end up getting the internship?”

Rapid Growth During COVID

19:05 to 20:29

Explore how the pandemic accelerated growth for remote work solutions.

“and four months in, COVID hit, March of 2020.”

Selling Omnipresent and Market Dynamics

20:29 to 23:21

Understand the competitive landscape and the sale of Omnipresent after rapid growth.

“Because obviously sort of deal is now sort of the almost household name.”

Introspection and Transition

23:21 to 25:15

Hear about the guest's reflective journey after Omnipresent leading to Jack and Jill.

“And that's something that we really try to instill in the team and in the way that we work and the way we make decisions.”

Talking to AI: The Jack Experience

25:15 to 27:59

Learn how users connect emotionally with the AI, Jack, during career conversations.

“Yeah, I mean, it took me about 18 months after leaving Omnipresent to starting Jack and Jill.”
Show all 24 chapters

AI's Impact on Job Conversations

28:00 to 29:30

Discussing how AI changes the way people approach job discussions and introspection.

“And you'd probably end up with something that was pretty incomplete.”

The Importance of Recruitment

29:30 to 31:50

Exploring the significance of recruitment and its transformative effects on lives and companies.

“what did I do in between leaving Omri President and starting Jack and Jill?”

Skills of the Future

31:50 to 34:40

Identifying essential skills for young people in the changing job landscape influenced by AI.

“But, like, what would a much better version of recruitment look like?”

Navigating Job Market Changes

34:40 to 36:50

Discussing how job roles and skills will evolve in the next few years due to technological advancements.

“So I think that is available to anybody.”

The Evolution of Software Engineering

36:50 to 39:20

Examining the drastic changes in software engineering roles due to AI and technology.

“I think AI and tools like Jack can provide so much value to people that are going through this transition.”

Challenges of Increased Bureaucracy

39:20 to 41:30

Addressing the potential bureaucratic issues that may arise from AI's influence on job processes.

“So do you think the Jevons paradox will continue to exist when it comes to this?”

Streamlining Work with AI

41:30 to 42:00

How AI can consolidate roles and enhance efficiency in work environments.

“And so it is one of the things I worry about is that humans are very good at creating work for one another.”

The Shift in Job Roles with AI

42:00 to 43:31

Explore how AI changes traditional job roles, reducing the need for multiple people to collaborate.

“And then that would get tested off to somebody in a quality assurance role.”

Building a High-Performance Team at Jack and Jill

43:31 to 45:48

Learn how Jack and Jill hires top talent and the rationale behind their compensation strategy.

“Let's talk a little bit about building Jack and Jill from a team's perspective and so on.”

The Impact of Small Teams on Productivity

45:48 to 48:17

Discover the advantages of small teams and how they maintain high productivity levels.

“So we've hired a lot of people that are very entrepreneurial and that know how to do these more kind of complete tasks rather than doing something narrow.”

Cultural Differences in Market Launches

48:17 to 50:19

Discuss the challenges and insights from launching Jack and Jill in different cultural markets.

“we need to have a whole package as an employer but part of that is definitely the cash and the equity compensation that we give to people.”

Innovative Hiring Practices at Jack and Jill

50:19 to 55:41

Learn about Jack and Jill's unique recruitment strategy that involves working closely with candidates.

“than it is maybe to the rest of the UK culture, actually, in a way.”

Building Teams and Early Hires

56:00 to 1:01:00

Learn about the strategies for hiring and building effective teams in startups.

“So it's definitely kind of positive two-way exchange.”

Building Teams and Early Hires

1:02:01 to 1:02:25

Learn about the strategies for hiring and building effective teams in startups.

“Close your eyes, exhale, feel your body relax, and let go of whatever you're carrying today.”
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Transcript

Automatic transcript. May contain errors.

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0:35Propel hydrates better than water to help you get the most out of your workout and get back to your best self. What propels you? Propel with Gatorade electrolytes. Welcome to Jimmy's Jobs of the Future. Today I'm joined by Matthew Wilson, the founder of Jack and Jill. Anyone that has tried to apply for a job recently or tried to recruit knows how complicated the market is getting due to AI. It's extending the processes on all sides. It's a real challenge and Matthew and Jack and Jill are looking to try and solve this. On to today's episode. Matthew, welcome to Jimmy's Jobs of the Future. I really enjoyed one of the descriptions that you have on your LinkedIn profile about how both the recruiter and the employees spam cannons are pointed at each other yeah and it's just getting worse and worse not a day goes by where the mainstream press doesn't cover somebody who's applied for you know 200 roles and not got everywhere and it's not just at the junior there's always been a factor of that junior levels over the last decade i think but it's also now happening to people kind of midlife as well uh and it's a it's a real challenge what do you think about the the kind of traditional status markers and how they'll change?

1:53Because Shlombing talks about CVs dead anyway, but I agree even more now that it seems like that era is coming to a close. But how do you see those changing? Yeah, I think you've got, you know, when there's a new technology with AI, the most obvious thing to do with it is to say, what do people do today? And how do we use this technology to do that, you know, faster and cheaper? and that's happening on both sides of the table with recruitment at the moment. You can now have an individual, you know, at the click of a button, go apply to, you know, infinite number of companies for me and the CVs look great because they've taken the job description and they've like, they've tailored it for that.

2:39And that's causing a huge problem for employers. And then on the flip side, you've got employers that are doing this in two different ways themselves. They've got this, you know, you talk to certain people and they get, you know, 1 ,000, 10 ,000 applicants for a role. Well, it's just infeasible to look through that number of applications, particularly when on the surface they all look great because a lot of them have been using AI to write these applications. So then you need to kind of go into this war of going, okay, how do we like slim this down and how do we cut through this noise? On the other side, you've now got this ability to research.

3:19You've got your job and instead of, okay, maybe this is so noisy for all of these applications I'm getting, why don't we go and outreach to people and find people that we think could be great and go and persuade them that they should work with us? And that's now becoming fully automated as well. So you can now take a job description and put that into a tool, get a list of the top 1 ,000 people in the world, and then at the click of a button have personalized outreach that goes out to all of those people. So then what happens? The people that are in demand from a lot of companies are just getting hammered with all of this outbound from companies.

3:53So this is the natural conclusion of what happens when you have a technology that automates some processes is that the processes become infinitely cheap and then over time these channels kind of stop working. Explain to us what Jack and Jill does. Yeah. So Jack and Jill is a 15-month-old company that's working on two AI agents, Jack, who helps people find their dream job by understanding who they are, what they've done, what they want, and then supporting them through finding the best jobs on the planet for them, scouring the entire market for them, and supporting them, whether that's through mock interviews, through salary benchmarking, or whatever else he can do to support.

4:33Jill, on the other side, is working with companies to help them hire amazing people. Today, we have about 350 ,000 people working with Jack, primarily the tech markets in London, San Francisco, and New York. And we have thousands of companies working with Jill. I think, you know, we think about how do we get the jobs that we get? How do we end up in the careers that we're in? You think about it from the perspective of a professional and how they navigate through their career from figuring out what career they want to do to landing that next job. I think it's this kind of crazy setup. You know, I think back to when I was a student graduating and all of these job titles that I had no idea what they meant.

5:16And you make these decisions with such limited information, oftentimes based off of, you know, who, you know, if you've got the privilege and connections, who you happen to know, or just based off of kind of a series of accidents. If you ask people, how did you end up in, you know, as a lawyer? How did you end up as a management consultant? How did you end up as a designer? How did you end up as a recruiter? You know, people have these just kind of like random walks into what they do. And then that sets, you know, what they do for most of the day for the rest of their lives. And, you know, and then if you look at the actually, you know, you're in a career and you're looking to make a move, you know, for whatever reason, how do you land that next job?

6:03Is this kind of, again, it's this kind of random mix. You've got, you know, you can go and look on LinkedIn or on some job boards and apply for jobs and you get served with some kind of random slew of whatever pops up at the top of there and you send off some applications and, you know, which applications get read and respond to you, you kind of end up, you know, going down that path or you maybe have people in your network that you can refer into, again, if you've got people that you know. Or you go and talk to a couple of recruiters, and maybe they're representing three or four firms at that point in time, and you end up with one of them.

6:39And you've just covered, like, 0.1 % of the available opportunities that there are in the world in this kind of careless way of just, like, oh, whichever one of those things kind of pops through, and maybe I'll seriously consider 10 things. But there was like 10 ,000 things that you could have done. Did you consider that you could have moved to New York and could have done this job in New York? Did you consider that you could have changed your career completely? Maybe there's a great job for you in an adjacent field that would actually tick all the boxes of what you're looking for that you just don't even, it's not even on your radar.

7:12And then that process for a lot of people of going through and actually going through the application process, the interview process is incredibly painful, soul-sucking, demanding process. And it's a really awful process for a lot of people. And people just don't have help throughout all of this process. So we think about how do we, you know, we now, for the first time, the technology exists to, you know, understand somebody with software at a really deep level and not just say, you're a set of filters on a job board, or you're what you can fit on a page in a CV, or you're a set of keyword filters, and say, okay, we've got the technology to build an agent that works for you.

7:56You explain who you are, what you've done, what you want with a ton of nuance. And we do that with a voice call with an AI. And then with this rich picture of who you are, the kind of picture your friend might get if you went and sat with them for a coffee, that AI can go and work for you and it can survey all of the job listings that are out there in the world and only send through the ones that it thinks are like a 10 out of 10. It can help coach you for an interview. It can help, this is our agent's called Jack. Jack can help you think about, you know, look at all the job listings and think about what you should be paid in that next job.

8:33So you can go in armed with a good set of data. If you are at the start of your career, you're considering a change, you can do a career coaching call. And, you know, all of this is now available to everybody and we offer that service for free. And so that's what we do with Jack. On the flip side, you know, the exact same thing happens when we're hiring people. And the exact same set of compromises of only considering a small corner of the universe of having tools that don't have the ability to handle the nuance that we think about when we're thinking about our careers or hiring. So we've built an agent called Jill, who is speaking to companies, understanding exactly what they're looking for, like a great executive recruiter would be.

9:13But for every role, and with then access to the network of people that are working with Jack, so these two agents can then build this kind of infinitely scaled network with incredibly deep nuance of what companies are looking for, what people are looking for. So you can make incredibly, incredibly precise matches at scale. and that's not something that's been possible before. Instead of taking how things are done today and thinking about how we can do them faster, why don't we think from first principles around how this should work, what would be the best possible way that we could construct this?

9:47And imagine you could have your own AI that worked for you, that you could tell exactly what you wanted. And that AI, if you're looking for a job, and that AI, it was actually connected up into an AI on the other side of the table that was working with thousands, tens of thousands of companies working across their roles and knew exactly what they were looking for and was then able to, you know, kind of skip all of this inefficient process and just go straight to, you know, here are the five best opportunities out there for you that we've got a direct connection and we can just introduce you directly.

10:25You don't need to apply and you're doing that based off of, maybe you've spoken to this AI about what you want and what you've done for 40 minutes on a couple of phone calls. So it's got this really rich picture of who you are rather than just your LinkedIn profile or just your CV. So that's how we think about what's happening in the market today, why it's happening, and what our approach is and why that's different.

10:51So let's get kind of really meta with some of this stuff. You and I are both a big fan of Charlie Songhurst and the kind of content he creates. And he talks a lot about how you should spend your early years career. And perhaps because we're recording on A-level Resorts Day as well, although it won't be out for a few weeks. I'm particularly thinking a lot about those kind of early years and what happens. And I don't know what I would put into an LLM today because part of it is you need to go out and get the experience to know what you do and don't like. What's your advice for young people thinking about?

11:27I think that's right. I mean, I think you need some experience, but I think you're doing people a little bit of a disservice if you say you just need to go and do something random to find out what you do and don't like. And you can't be, you know, have some agency and thinking about what those things should be. I think you can have an AI that is able to, you know, not just be a blank text box, but be a thought partner in something. B, you know, think back to what I was saying earlier about me being, you know, a graduating student coming out into the world of work and not even knowing what the words meant in the job titles.

12:04You know, it would have been great if I could have sat down with Jack and said, OK, look, I went to this careers fair. I met this private equity firm. I don't really know what private equity is. What does it mean to be in private equity? What does a career in private equity look like? how do we think that might change over the next 10 years? And Jack would have a pretty good perspective on that. He'd also have a good perspective on what does it mean to be a management consultant? What does it mean to be a software engineer? What does it mean to be all of these different things? And, you know, if I could say, okay, well, what does that career look like over a 10, 15-year period?

12:41And what does the first year of that look like? And what might I learn from that? And I think, you know, a thoughtful young person that would be able to have that would be in a much better position to make a much better informed decision. And maybe that decision is, I do this for a year and it's my bet as the thing I think I'm going to want to do. And a year later they go, actually, I've learned something I didn't want to. I want to go in a different direction. And then they can go and have a similar conversation again. But I think that equipping people with some sort of compass, some sort of tools about where they could end up going and what even the world of work looks like if they've not come from a background where they've been exposed to these things or they don't have the people in their family or in their extended network that is going to be able to say, hey, I've worked in private equity for 30 years and I'm going to talk you through what it looks like.

13:32I think that will give people so much more clarity in terms of what they can look at.

13:42And what about your kind of personal experience? You started, your schooling was just in the Orchardales, et cetera. Like it's quite removed from London, San Francisco, et cetera. How's that kind of shaped your view? Yeah. I mean, I think, you know, maybe just tell my personal story a little bit. I grew up in the Yorkshire Dales. I went to grammar school in the Yorkshire Dales. I then went to study physics and maths at Oxford. I thought I was going to be an academic. I thought I was going to go and do a PhD and pursue a career as a very romantic theoretical physicist thinking hard with a paper and a pencil all day around how the universe worked.

14:29And then I did an internship for a couple of weeks while I was doing my master's in between a couple of the terms. And I did an internship with a guy that had dropped out of Oxford. And he was from Shorkshire. And he had set up in Batley. if anyone knows where Batley is. Batley and Spam. Yes, it's a town in between Bradford and Leeds. And it is about the furthest place in the world from Silicon Valley and, you know, close to where I'd grown up. And he'd set up a one-person startup while he was at Oxford. Before he, when he was 17, he'd set this up. And he had this kind of crazy ambitious vision of how the world could be a different place.

15:26and I went to work with him for a couple of weeks. He'd just dropped out of Oxford after two years and had gone full-time on the company. And he was working by himself and he needed a couple extra pair of hands for a few weeks and me and a couple of the students went and went to work with him. And it just completely opened my eyes to what was possible, that you had this guy who was smart and driven and a pretty incredible guy. And he just said one day, I think the world could be different. I think the world would be better off if this service existed and just decided to do it. And I had no concept that that was something that you could do.

16:13I had no concept that you could just envision a way in which the world could be better and go and run at it and make it happen and try really, really hard to make that happen. And he ended up shortly after that moving out to the west coast of the States, moving out to San Francisco. And that company then didn't end up succeeding, but he then actually founded another business that became the largest COVID testing business in the US. And I think this entrepreneurial spirit that he had was a huge inspiration to me and opened my eyes that there was a world that you could just go and do things. Yeah.

16:56How interesting. Here's those small moments. How did you end up getting the internship? What proved was that? It was some random thing. I think he posted on some student Facebook group or something. Again, it's these kind of like random moments of serendipity that sometimes can work out and sometimes can be a total waste of time. And that happens through life. You need to kind of expose yourself to things in order to get. It's kind of lucky accidents. And tell us a bit about Omnipresent and so on as well. Yeah. So I started a company prior to Jack and Jill in November of 2019 called Omnipresent.

17:33And the idea with Omnipresent was that as more and more work moved online and as businesses built international offices earlier and earlier as they looked to sell to a broader market earlier, you would end up with a world where you'd have remote workers and these kind of like quite distributed teams doing sales and marketing into new markets. And you'd end up with small businesses that had a very distributed workforce. And those companies have this problem, which is maybe you're 100 people and you're across eight different countries. And in some of those countries, you've only got a couple of people.

18:10How do you actually employ those people? How do you pay them? How do you manage benefits for them when it's completely different from country to country? How do you manage HR when the employment law and the customs are completely different from country to country? And what we built was a combination of legal, financial infrastructure, a global network of benefits providers, payroll providers, and then software on top of that to automate parts of that process such that any small business could come to us and say, hey, we're hiring these eight people over the next six months in these random countries around the world.

18:49And we would take care of everything from employing those people, paying them, managing their benefits for them, managing the kind of employee lifecycle on their behalf. And we thought that that change in the world was going to happen quite slowly. It was going to be maybe over the next 10 years that this would happen. and four months in, COVID hit, March of 2020. And what we thought was going to take 10 years happened over the course of a few weeks. And you had this kind of crazy period for the next couple of years where everybody started working remotely. You had existing teams where maybe you were a London-based company and you had a Spanish employee that was working for you that was living in London.

19:33It was like, well, if I'm going to be working remotely, I'm going to go back to Spain. And the company that had no idea in terms of how to handle that. And, you know, more and more companies then going, OK, well, we're working remotely. We may as well. Why are we concentrating on hiring to people that can commute into our office if nobody's going into the office? So then going and expanding the types of people that they could hire. And so we had this period of incredibly steep growth where we went from two of us and an idea to about 400 people within three years through COVID and built the service across over 100 countries around the world.

20:19and kind of scrambled to keep up with the demand. So it was an incredible, incredible learning curve and an incredible time to be building that, to be building that company. Definitely. Yeah, it must have been incredible. And what sort of happened with that? Because obviously sort of deal is now sort of the almost household name. Just talk us through what happened next. Yeah, so in that space, the company now sold, it sold last year. And what happened in that industry was you had a group of competitors that were doing more or less the same service. Everyone had their own kind of individual slant on their differentiation.

21:01And there was maybe 30 companies doing this at various places around the world. By its nature, it's an international product by design. So you're not just competing with whoever's in your backyard. You're competing globally from day one. And, you know, through that period, through COVID, there was just so much demand that we had. There was a lot of companies that grew very quickly. And then as COVID kind of recessed, as, you know, a lot of us were selling to tech companies that were hiring a lot remotely that then went through a period where they weren't hiring as much. As there was a big shift away from remote back to in office for a lot of companies.

21:41the growth slowed down for the whole sector. And you then had this, and this is one of the learnings I take into working at Jack and Jill. I think when you have these competitive markets, being number one or number two carries such a big premium in terms of you get these compounding advantages of talent. If you're the market leader, you're going to get better people want to go and work for the market leader. If you're the market leader and you're building software and you've got a bigger budget for your software engineering team, then you can build a better software platform. If you're running marketing and you're doing that to a large audience and you've got this brand advantage and you've got word of mouth coming from a large customer base, if you're raising capital and you've got that lead, you get all of these kind of compounding advantages to being out in front.

22:34And so you saw this kind of separation from the kind of pack of companies in the space and one or two companies that really accelerated away from that pack, and particularly as the market then got to pull back a little bit. So we ended up selling the business, actually after I'd handed over the reins, my co-founder ran the business for 18 months and then sold it to Deal, who were one of the companies that had broken away from the pack. And, yeah, that's a lesson I take as an entrepreneur into building Jack and Jill. I think when there are these emerging technologies or emerging kind of categories of businesses, there is so much advantage to being out there in front.

23:20And I think the West Coast Silicon Valley DNA that was embedded into Deal and into some of those other competitors that allow them to be really aggressive, to execute really well, to get ahead, like led them to this place where they have these kind of compounding advantages. And that's something that we really try to instill in the team and in the way that we work and the way we make decisions. It's funny because I remember when I sort of started in the entrepreneurial world ecosystem 15 years ago, you used to be a big premium on not telling anyone your idea or because you didn't want someone to steal it.

23:56Whereas now, it's like, well, of course there'll be competitors. Everyone is working on something. Yeah. I think there's this increasing global competition as well. Yeah. I think if you look back 15 years, 20 years, you would have Airbnb start on the West Coast and you'd have a copycat start in London and you'd have a good chance of building the UK version of the American company. That's true in a couple of sectors today where there's specific local regulations or specific local dynamics. But if you're building a software product, it doesn't matter. You are competing globally from day one and there is no building the UK version of Facebook.

24:44There is just Facebook. And either you win or you lose. And there's no niching down into a subsector or a smaller geo in a lot of markets. So I think that has changed in a way that it used to be that you'd have, you could get these local winners. And I think that's not true anymore. So when you left Omnipresent and so on, what was your sort of framework for working out what to do next? Yeah, I mean, it took me about 18 months after leaving Omnipresent to starting Jack and Jill. And Jack and Jill, we started in March, late March of last year. So just, what, 15, 16 months ago from where we are now.

25:27So we're still, like, you know, very, very young company. But in those 18 months, it was a period of introspection to start off with. What do I want to do? It was a period of rest, actually, to start off with. I went traveling with my wife and we had a great time after a period of very intense work for seven years prior to that. So I took a kind of little sabbatical and then it was, what do I do? I've been through this experience of building this company. Do I want to do it again? Do I want to go and join somebody else's journey? Do I want to maybe do something completely different? and that's then I think been pretty formative in terms of how we've thought about building Jack as well.

26:15I went through this period of introspection trying to figure out what to do and found it pretty difficult to kind of navigate through that. You can talk to people about it, but people only have so much patience to hear about your inner kind of turmoil whereas you have an AI that's kind of infinitely patient you can talk to. I speak to my wife after when I left number 10 for the six months whilst I was trying to work it out. Yeah. She's just like, yeah. I think that's so true. I think that's so true. Like even your partner has very limited patience to hear about, you know, how your performance review went at work.

26:54Or I've been searching for a job for two weeks and I want to talk to somebody about it. And, you know, it's just not that – there's something about those conversations that I think people have very limited patience for. And you feel bad when you're talking to somebody, you know, you're kind of taking from them and you're taking their energy from them. And I, that's something that we see when people talk to Jack is, you know, Jack's an AI. He's got, he's not gonna, you know, be impatient with you or feel like we should change the subject. He's there to work for you. And the emotional reaction that people have when they're talking to Jack about these things.

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27:33You get to see people send us a message and say, I just spoke to Jack for half an hour about my career. And I cried after the call because it's the first time that I've ever felt that I can talk to somebody and have, you know, some, even if they, I mean, they know it's an AI, right? Yeah. But I felt listened to, I felt heard, and I felt I could express myself and talk about this stuff for the first time in my life and that is remarkable um that and and you know when we started i think there was a question of will people do this with an ai and it was so immediately apparent when we launched that people will have these conversations and more with an ai and they will open up and even more to to the ai what was interesting i played with jack this morning i've used jill obviously from a probably i thought preparation for the interview play with jack and um although i think my team were a bit worried overhearing me sort of talk about a new job and salary expectations but um they were it's the first time i really used ai audio yeah um you know i've just been typing away and and so on and it is amazing how kind of you know lifelike it is and you feel like you're having it's a totally different experience than i mean if you had to sit down and type for you know an hour about what your dream job was, it would be pretty hard work to do that.

29:00And you'd probably end up with something that was pretty incomplete. If you could have a conversation with somebody for an hour about that, and they would interview and they'd ask probing questions and they would listen and then reflect it back to you in a different way, it would be a joyous experience to go through that conversation. And you're doing the same thing. You're putting information down in words, But it's a totally, totally different experience. People open up in a totally different way. One of the insights we had when we launched last year. Anyway, to go back to your question, which was, what did I do in between leaving Omri President and starting Jack and Jill?

29:39I went through this period of introspection and I then decided I wanted to start something new. the things I wanted out of it, I loved what we did at Omnipresent, which was if we hadn't built what we built, people wouldn't have gotten jobs that they got. And I think it's easy to think about recruitment, think about HR, and it sounds, I think the natural reaction is it sounds kind of inconsequential, but it's not. It is the most consequential thing that you can do to, you know, for somebody, maybe, you know, behind their health and their relationships, what we do for work, what we do for, you know, whether that's because, you know, you're somebody like me who work is like a major part of your life and why you love being, you know, you love doing what you do for work and it's a major part of your fulfillment, whether it's a nine to five that's providing you with the financial ability to live the rest of your life.

30:40Like that, it is so, so important. And with Omnipresent, we'd been enabling people in Ghana to get a job for a great US tech company, paying them three times what the local rate would have been. And that person's life was like totally transformed by what we built. And on the flip side, this American company has got an amazing employee that is then transforming their business. Yeah. And I think, you know, both those two things were so magical when we felt like those, when we could see day to day, you know, we might be dealing, at Omnipresent we were dealing with, you know, payroll and labor laws and taxes, but actually what we were doing was enabling somebody to change their life and a company to change how they worked.

31:21And so I loved that. I thought, you know, is there a way that I can get that, you know, address that same underlying mission?

31:32And so I was exploring ideas around that space. I was exploring a lot of other ideas as well. But, yeah, it was probably a year from first thinking about, is there a better way? You know, we've got this amazing new technology with AI and it's pretty nascent at the time. It's still nascent now. It's still developing. But, like, what would a much better version of recruitment look like? What would a much better version of helping people navigate through their careers look like? And it was a year of thinking about that, you know, interspersed with other things and other projects. But it took kind of a year from that initial thought to then starting the company a year later.

32:16And one of the things that strikes me that you're going to get real access with so much of this is understanding the skills of the future. What people actually need to bring. And that is changing so rapidly with AI as well, obviously. But what do you think are the skills that people should be learning in their kind of teenage, early 20s? Yeah, I think there is right now, there is the difference between somebody who can utilize these tools really, really well and somebody who, you know, barely touches them or uses it as a kind of souped up search engine. and we think about our team and how we work, I think there is like a 10x difference in productivity that you can get from being right at the cutting edge of using these tools to not touching them.

33:08So I think there is like a real opportunity for young people in particular to say, maybe you're not going and working at a cutting edge AI company, but you're going to go and work inside of a small business somewhere

33:24and yes, you're inexperienced. Yes, you've not got other skills that other people have developed over 20 years in their career, but you actually can be at the frontier of what's possible and you need to do that thoughtfully. You can't just be, you know, it is possible to just generate a load of slop and make a whole, you know, actually be less productive using these tools than you would be otherwise and be a real pain in the ass to work with if you're just throwing everything into a model and not thinking about the output and not taking ownership of what it spits back out. But you can be much more productive.

33:57And I think for young people, it's a real opportunity to go into businesses that are not really at the cutting edge of this stuff and go, wow, we've hired this 20-year-old. And yes, they've got some development areas here, but it'd be like kind of going back and being able to use computers where nobody in the office could use computers. And it's like, wow, that's actually a really unique skill set that you can bring to a business. So I think there is, you know, it's hard to know, you know, which hard skills are going to be done by the models in the future, which hard skills are not going to be done well by the models in the future.

34:33But just being close and being curious and pushing the boundaries of what's possible, I think you can take yourself quite quickly up into the top 5 % of people. So I think that is available to anybody. I've been using this phrase a little bit over the last couple of months of like the career catapult, right? So career ladder may have completely broken, but actually the career catapult exists where you can, as you say, go into the top 5 % of. And it's a proper quantum leap opportunity for people in their early 20s. Like in some ways, the job market, graduate market has never been harder at that age.

35:10But actually, there is also the amazing opportunity. I think we do see this a bit in the labor market in tech at the moment. is you do have a bit of a bifurcation. So you've got certain people and certain roles that are just in the most demand ever. I mean, the most extreme version of this is, you know, AI researchers, you know, being paid, you know, tens, a hundred million dollars a year, while at the same time you've got people having a harder time than ever to break in. And as you said earlier, that's not just at the entry level. It's also people that are mid-career and what they're doing and the way that their work is changing, is shifting around them.

35:59And I think there is going to be a lot of disruption over the next couple of years. The skills that are needed and the jobs that exist in five years' time, I think, are going to look different to they are today. I think it's going to happen quite a lot across white-collar work. And part of our mission is to say, in that world, if there is going to be a lot of change, we need a better way to help people navigate through that change, to help people say, what's actually happening?

36:38I've been doing this job for 20 years, and parts of it are not done by me anymore. Parts of it are going away. How do I navigate through and how do I manage that? And our career services are definitely not set up for that, for helping people navigate through that. I think AI and tools like Jack can provide so much value to people that are going through this transition. I think there's going to be a lot of people going through this transition. And likewise for companies, the skill sets and the types of roles that people need today, the companies need today compared to what they're going to need in a few years' time are going to be different.

37:10So they're going to need to change their workforce and figure out who they need to bring in to help them stay competitive. So they're also going to need better ways of helping to navigate around this as well. And I think AI has got a big role to play there as well. Daria from Anthropic says that 50 % of white collar roles might go in the next five years. Where do you sort of stand on that? I think go is maybe, is not necessarily the right word. I think change. I think there's going to be huge change. And I think if you look at the role of a software engineer today, being a software engineer in summer of 2026 compared to in winter of 2025, 2026, compared to summer last year, compared to winter previously, compared to some of the year before, it's like unrecognizable.

38:11The job is completely different.

38:17And the skill set and what you've needed to navigate through has been really tumultuous for a lot of people. And some people don't like that change. Some people love the new way of working and some people don't. My brother is a software engineer, and he is not enjoying the change that's happening. He loved how, you know, the hands-on craft of coding. And he doesn't like that that's now been taken away. And that's no longer a core part of the job. Other people love the leverage that you get through being able to delegate parts of this work out to an AI and operate at a high level of abstraction.

38:56So I think, you know, what's happened in that space, I think, is going to happen in lots of other spaces. There isn't a demand for fewer software engineers today. No. But the job has changed drastically in the last few years. And I think we're going to see a similar dynamic. And those that can adapt and change with the times are going to come out stronger. And those that can't are going to have to figure out what they do in a world where the underlying technology has changed so much. So do you think the Jevons paradox will continue to exist when it comes to this? I think so. I think it does depend on the role.

39:37I think if you look at software engineering, I think there's kind of infinite demand for more software. If the cost goes down, okay, well, everybody can have a fully bespoke CRM now in a way that they couldn't previously. Or you can now migrate off that old piece of software that you've got onto something new. or you can build automated processes to run parts of your business or you can do all these things. There is just this kind of, as the cost goes down, there is latent demand that surfaces for software engineering and that's definitely been the kind of cases that's played out over the last couple of years.

40:16Is that true for all services? Is there lots of latent demand for legal services? There's probably some. Is there infinite? But if legal services were 100 times cheaper, would there be this latent demand for 1 ,000 times more legal services or would there only be a 10x? And I think it's hard to know because you don't know what use cases would emerge as something kind of gets cheaper and cheaper. This is my fear with it, by the way, is that we end up in like an absolute bureaucratic nightmare with like the legal side and regulation and so on. Like one of the best books I've read that's actually sat behind you is the Charlie Colner is this working book.

41:05And it's basically the opposite of Jimmy's jobs, right? He goes and interviews 80 people about their jobs today. Came out about two years ago. And it's fascinating about just how much of people's jobs doesn't really matter. And it's just partly health and safety culture. Not even gone mad, right? But there's a great example of it with a construction site worker who is like, I basically cannot have a conversation on site without having to then go and put it in an email afterwards. And that's because technology and email has allowed that to happen. And so it is one of the things I worry about is that humans are very good at creating work for one another.

41:39I think that's true. I think you also see the opposite happening with AI. You know, we think about when we're hiring and building our team, you know what would have been needed a team of people you know if you think about building um a new feature as part of as part of our product previously you would have had you know a product manager that would go out talk to customers think about what needs to be done write up a spec that would then get handed off to a designer who would take that take that set of requirements think about how to how that should be designed and then they'd work then that would get handed off to an engineer who would build this.

42:17And then that would get tested off to somebody in a quality assurance role. And that whole process, because it had these handover points, because you needed to meet and do a scoping meeting, and then you needed to meet and do a team retrospective of how we were communicating with each other, and you needed to have, everybody needed to get coffee with each other once a week to make sure the relationships were kind of staying strong. and actually now that's like one person can do all of that work. Yeah. And it requires a different type of person, but that person can go from idea to executed, to tested, designed, within the space of like half an hour, what would have taken two weeks, three weeks, with loads of overhead and kind of like nonsense, you know, human fluff that needed to be done.

43:09And the AIs don't need that. The agents don't need to have these handover points and have these back and forth. So if you can collapse down work into a single person's head that would have taken multiple people previously, you don't just get the cost advantage to that. You also get this massive unlock of the coordination fluff that takes place when you've got people and they need to collaborate together. Completely. Let's talk a little bit about building Jack and Jill from a team's perspective and so on. how many people are you now we're just over 20 people now just over 20 people right um because you have hired for roles publicly with you know pretty large salaries it's the end time i've seen over sort of 200 grand advertised on a salary anywhere i think um which is a i'd be interested in your thoughts on advertising that publicly um but just why you're hiring that way yeah i mean to answer the first question, why would we advertise that we pay people really well?

44:11I think it's a kind of no-brainer thing to do. We're trying to get the word out there about what we do and attract amazing people to come and work for us. So I think part of why we do that is to attract the attention of amazing people. And if we didn't tell, I mean, I think more broadly, companies should be transparent about their compensation. But particularly for us, if we're going to compensate people really well, it would be crazy to not talk about that. In terms of like why, you know, our kind of talent philosophy and how we've built the company, I think there's a few things that come into play.

44:48So, you know, one is we've hired a lot of ex-founders and ex-entrepreneurs. So about two thirds of our team have founded a company. And, you know, why have we done that? I think we're trying to do something new, and there's a lot of surface area. We've got an agent in Jill for companies, and we need to build that, service those customers, go out and market to and find customers. So we've got this B2B part of the business. We've got a consumer product in Jack that we've got to build. We've got to do support for hundreds of thousands of users. We've got to then market that product. And the way that you market a consumer product is very different than the way that you market a B2B product.

45:38And we're 15 months in, and we're doing this in London, in San Francisco, and New York. So we're now across three markets. And in order to do all of those things, there's zero to one activities across all of those different products, parts of the business, markets. and we value very highly the ability of people to, you know, not do a narrow job but take an abstract job, go and figure out how to launch us in San Francisco, go and figure out how to, you know, make the product better in this way and then to be really resourceful about thinking about the right way to do that. So we've hired a lot of people that are very entrepreneurial and that know how to do these more kind of complete tasks rather than doing something narrow.

46:34We then have a premium. We place a premium on the effectiveness of the people that we work with. If you think, we use AI a lot in how we work. And one way that you can think about AI is it gives leverage to the people. and so if you think if you know one of our software engineers is working with a team of coding agents that person is kind of like eight times more productive if they're working with eight agents than they would have been previously so getting a person that's really really good you know somebody that was maybe twice as good as you could get and twice as productive better judgment than what somebody was before.

47:17You actually get 16x improvement on the output from that person. And you get another benefit, which is if you then have, instead of two people, you have one person, you decrease the amount of overhead in the company, you decrease the amount of communication that needs to be done. So you can keep the team smaller. And anybody that's been in a small team versus in a big team or in a small company versus a big company knows just how different it is and how oftentimes you get a team of 100 people that is only 20 % more productive than a team of 10 people. So I think you get this massive diminishing...

47:55Speaking to a man who worked in government for three years. Yeah, you get these massive diminishing returns to productivity as you build out a bigger team. So we place a lot of premium on how do we get the best possible people into our team so we can keep it as small as possible, but as productive as possible. and with that we think it's really important if we do that that we then compensate at the top or above the top end of market so we can get the best possible people and attract them into the business and those people could go and found a company they could go and raise millions of dollars for their business they could go and work for a big American frontier lab how do we attract those people?

48:38we need to have a whole package as an employer but part of that is definitely the cash and the equity compensation that we give to people. But does it not get to the rub of Jack and Jill a little bit in terms of the broader argument we were talking about at the beginning of the conversation about what's happening in the job market, right? As if the companies can start and scale with much smaller teams, which is undoubtedly true. Doesn't that get to the problem of the sort of, you know, total addressable size of the market for Jack and Jill more broadly about where people go higher. Well, maybe.

49:11I think, you know, if there's a fixed number of companies solving a fixed number of problems in the world, then that would be true. I don't think that's true. I think there's a lot of problems in the world that nobody's working on that could be solved. I think if you could have, you know, the same number of people working at twice the number of companies working on twice the number of problems, that would be fantastic, right? Yeah, totally. No, I think it's a fair point on that. And what have you learned already about launching in San Francisco and New York and London? Like just comparing those cultures to us.

49:47I see on your LinkedIn profile that you list yourself as San Francisco based. Yeah, I mean, I've spent, I probably spent 50-50 time in the US and in the UK this year. So I've been spending a lot of time out in the States, getting the market up and running. and I think we work in the tech industry in London, which is closer to the Silicon Valley culture than it is maybe to the rest of the UK culture, actually, in a way. You've got a lot of the companies that we'll work with or that we'll be spending time with, whether they're customers of ours or whether they're vendors of ours, I'd say do have this kind of Silicon Valley DNA of being really ambitious, of being quite aggressive, of thinking about how the world could be a vastly different place rather than thinking in these kind of incremental terms.

50:47So I do think we have some of that in pockets here in the UK. But when I just contrast our launch in the UK last summer to our launch in San Francisco this year, I think the thing that has been more difficult in the US is just breaking through. There's so many more companies, so many more tech companies in San Francisco. It's such a noisy market. It's such a, you know, if you announce a fundraise in London, it's actually still kind of interesting that this company has raised some money. You know, we were six months old. We raised a$20 million seed round. That's pretty interesting in London. it's kind of, you know, one of 10 that day in San Francisco.

51:32So, you know, you have the, just to be able to cut through when there's so many people kind of shouting and trying to get attention in San Francisco is definitely harder than it has been in London. And doing that with a team, you know, we're big believers in the quality of the talent in London. And we think there's massive, you know, alpha and arbitrage imagine the world undervalues the quality of the technical talent in London. So we intentionally built out our core team, our engineering and product team here in London. But, you know, that obviously then comes with, you know, a network and a platform in London and connections of the team in London that we didn't have as much in the US as well.

52:19So that was also just kind of going from your home market to a new market. It comes with its own challenges. How did you go about using your – getting those first few hires? I mean, obviously, you've been a sort of entrepreneur before, so you've got quite a – but how did you do that? I mean, presumably now you use Jack and Jill Bright. Of course. But how did you put together those first few, I guess? Yeah. If I look back at the first couple of hires, there was a mix of –

52:52the first hire came in and applied I posted about what we're doing just after we'd launched in April of last year and I posted saying hey we need somebody we've got a lot to do the market's responding really well to what we're doing and we need an extra pair of hands in a generalist role and we're looking for somebody really entrepreneurial who wants to come to something super early on and we were two people and six weeks old at that point

53:22and had a whole bunch of people apply and message me, but there was one guy who messaged me. And it was actually a remarkably quick turnaround. He'd just finished, wrapped up his own startup. He tried to build something. It hadn't quite worked, and he decided to move on. And I think I posted about this on a Friday or a Thursday afternoon. He messaged me that evening. we got on a call that night he then came in i think the next day or the day after and we part of our interview process we always do a full day working with somebody um so i think it was actually on a saturday he came in and we did a full day working together and um i think he finished up at five o 'clock we wrapped up and i said um and i said look like me and sarah's my co-founder will have a chat.

54:15He was on his way home. We decided we'd make him an offer. I called him up. He was on his way home, made him an offer, and he turned around and came back in and worked the rest of the evening with us in the office. So it was probably like three days end to end. And I think that is a superpower in terms of the ability to drive cycle time on these things. It's something we think about through our recruitment process today and getting really up and close and working with somebody. You get so much more signal than you get in an interview. So that was one. The next two... How do you find people respond to you with that?

54:44Because, I mean, Barney said something very similar to me from Clio. He's like, try and work with someone like before, and all those points around signals, so true. Like, how do people respond to that when you say, look, I want you to come in and work for a bit? Yeah, I mean, we pay people. So we pay, you know, if we bring a software engineer to come and work with us on a trial, you know, we'll pay them$1 ,000 for the day. So, you know, it's not we're getting them to come in and do free work. Like, it's very clearly we're going to pay you half of this day. like this is, you're going to come in and you actually do real work on that day as well.

55:15I think people respond really well. If I'm, you know, if I'm really ambitious and really discerning about what I'm going to do with, you know, what job I'm going to go and do, I want to see how you guys work. I want to work with you. I want to, you know, come in. I want to have dinner with the team and see who I'm going to be working with. And so we view that as not just a, like, you know, an interview should be a two-way process of us getting to know you and you getting to know us. So people, I think, see, you know, if they're going to want to come and work really intensely as part of a startup, and they've got, you know, all of these options, they are equally as discerning as we are about the places that they go and work, as we are about the people that we want to work with.

56:00So it's definitely kind of positive two-way exchange. I think if we were doing it and we weren't paying people, I think it would be a different thing if we're asking people to come in and do, you know, day of work with us um obviously people people that have got full-time jobs we've got to work around that so we'll do maybe two evenings or we'll come in on the weekend and work with and work with someone um but um yeah it's been received really well i think it's really interesting we've done it a bit with people coming for strategy days and so on um it's interesting yeah we're not obviously as software dependent as you guys um but it is it is a very interesting way of doing it yeah you get so much more signal um and um yeah one of the learnings i've had from that is you know when i'm running those i really like to work on like a real life problem with people i think you can if you make the problems artificial you're not engaged in the outcome i remember we had somebody else come in and we were doing uh we were going on a company off-site in the next day and somebody coming in for a chief of staff type type role and i hadn't built my presentation for the next day to the team for the offside.

57:05So I was like, look, let's sit down, let's talk about what I want to say tomorrow and then I want you to build the presentation I'm going to give tomorrow. And I was really engaged in that he did a good job because if he didn't do a good job, I was going to be up all night putting together the presentation and that gave me so much signal because it was like, it was, that That could have been his first day and it would have been a real project. And I was engaged in that versus it was a hypothetical assignment that we gave him that we were kind of going through the motions of asking questions and probing on.

57:44Yeah, it's really interesting. What were you talking – I mean, I was just asking you generally about how you built – The early hires. Yeah, the early hires. The other early hires we made, we made through connections we've made. So through people we knew previously. So the first software engineer we hired was somebody who, Saras, my co-founder, had actually been trying to hire for about 18 months at that point. He'd had another company previously, and he'd been pursuing this guy for 18 months of like, I want to work with you, and he'd always said no. And Saras is amazing at this, kind of relentless, and won't take no for an answer.

58:27and he, yeah, just, you know, we're working on this new thing. Come in, let's have dinner together. Let's talk about what we're doing. And that was the second hire. And then the third was, in between the two companies, I've been working, helping out with a program called Entrepreneurs First. I think you're familiar with the Entrepreneurs First program. And that's an early stage startup accelerator and Incubator where they take in people before they've got a startup, kind of throw them in a room together and shake them up and then support the teams that kind of form out of that and the ideas that form out of that into being companies.

59:09And I was, while I was in between the two companies, I was helping them out and going in and, you know, once a week meeting with the teams that were going through the program that were maybe in their, you know, their first week or their fourth week of their company and helping to kind of advise and be a thought partner to them in their companies. So the next hire we made was somebody who I had actually, he'd gone through that program. I'd been his advisor through that program. He'd not founded a company. And I then, this guy's amazing, amazing software engineer. I really want to work with him.

59:45And he was, so that was, it was going off of existing connections for those first couple of hires. Because at that point, you want to get somebody really good they kind of need to know who you are because you've not got any other proof points yeah um why would why would if he have kind of worked for a two-person company um that had you know was eight weeks old um there's nothing to believe in apart from the people so it's a big advantage when you're in very very early days to um have some existing relationships you know definitely i think it's i think it's really i've talked about this a few times but i think there is a very interesting podcast content series of people that go and work at startups early doors like we first employee yeah like we we really lionize the the founders i totally agree the early employees like uh do so much in shaping the company yeah and um yeah i think they're under they're underrepresented and underspoken about yeah yeah exactly exactly um brilliant it's been amazing to have you on like it's been fascinating seeing all the stuff that you're doing and the way that you're going about it and yeah it's amazing to have this company being raised in london right um so yeah congratulations on all you've done and yeah awesome thanks for having me on pleasure fall has never looked or tasted this good sweet greens fall harvest menu is back with seasonal favorites dressed to impress and made to be devoured warm roasted sweet potatoes crisp apples maple glazed Brussels, and crave-worthy flavors in the autumn harvest bowl, maple glazed salmon plate, and roasted bacon Brussels side.

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From the publisher

Jack and Jill: AI Agents Rewiring Hiring and Job Search

Jimmy interviews Matthew Wilson, founder of Jack and Jill, about how AI is worsening recruitment noise by automating mass applications and outbound recruiting, making traditional CV-based signaling less effective.

Matt explains Jack and Jill’s two AI agents: Jack helps individuals find and prepare for “dream jobs” through deep voice-based profiling, job matching, interview practice, and salary benchmarking (free for users), while Jill helps companies hire by capturing nuanced role needs and matching against Jack’s user network; the company has 350,000 users and thousands of companies, mainly across London, San Francisco, and New York.

Matt shares his background (Yorkshire Dales, Oxford, inspiration from a Batley-based startup), building Omnipresent (remote employment infrastructure later sold to Deel), and lessons on competitive advantage.

They discuss early-career guidance, AI tool literacy, major white-collar work changes, Jevons paradox, small high-talent teams, transparent high pay, and hiring via paid trial days and networks.

00:00 Welcome and Guest Intro
00:27 AI Hiring Spam Problem
03:19 What Jack and Jill Builds
04:03 Why Job Search Feels Random
06:45 Jack the Career Agent
08:02 Jill the Hiring Agent
08:49 First Principles Recruiting
10:04 Advice for Early Careers
12:57 From Yorkshire to Startups
16:36 Building Omnipresent in COVID
19:47 Selling to Deel Lessons
24:22 Choosing the Next Venture
25:45 AI as Patient Career Coach
29:03 Why Work Changes Lives
31:00 Reimagining Recruitment
31:44 AI Tool Fluency
34:03 Career Catapult Mindset
34:29 White Collar Disruption
36:39 Jobs Change Not Vanish
38:41 Jevons Paradox Debate
40:05 Bureaucracy Versus Leverage
42:50 Building a Lean Team
42:59 Pay Transparency Hiring
48:52 Scaling Across Markets
51:39 Fast Hiring Playbook
53:56 Paid Trial Workdays
57:09 Early Hires Through Networks
59:30 First Employees Matter
59:58 Closing Thoughts
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