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Times Tech

1 Jan 2026 · 48m · 20 chapters

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Holiday Special: Part 2 - Has AI already taken your job?

In short

In this holiday special, hosts Danny Fortson and Katie Prescott continue their exploration of AI's impact on the real world following their previous episode. The discussion includes insights from notable figures in the tech industry, such as Sam Altman, Lisa Su, and Satya Nadella, among others. The episode dives into emerging themes related to AI, including its practical applications, implications for employment, and future trends.

Written by AI. May contain mistakes.

Chapters

0:45

Overview of AI Themes for 2026

Discussion of the four key themes regarding AI and its impact in 2026.

“And if you haven't listened to last week's, do have a listen, go back and do that.”
2:33

The Future of Transport: Driverless Cars

Exploration of autonomous driving technology and its real-world applications.

“It's a core belief that we've had that autonomous driving is really an AI problem.”
6:40

The Rise of Wearables and AI Companions

Insights into wearable technology and the emergence of AI companions.

“I mean, as if I say what I would describe as the more wacky end of the wearables market this year.”
10:15

AI Software Revolution with Lovable

Introduction to Lovable, a company transforming app development with AI.

“And that's also one that I don't think would speak in a human voice.”
14:21

Lovable: Revolutionizing App Development

Learn about Lovable's innovative approach to software creation using AI.

“So yeah, Lovable is this wildly young company that provides AI programs to help you devise your own apps, your own websites without ever having to write a line of code.”
18:13

Impact of AI on the Job Market

Explore how AI technologies might affect employment and workforce demands.

“So hearing about Lovable being the last piece of software, I think leads us on really, really nicely to talk about our next subject, which is what on earth AI means for the jobs market.”
18:34

AI's Role in Legal Services

Understand how AI is transforming the legal field and potential job implications.

“When you hear about a piece of software that can just generate websites, generate apps, do all of this amazing coding.”
19:31

The Repetitive Work of Legal Teams

Discover how AI addresses repetitive tasks in legal workflows and enhances efficiency.

“And Goldman Sachs has predicted that 44 % of legal services could be automated by AI.”
22:40

VivaTech Conference Insights

Insights from the VivaTech conference on Europe's AI landscape and advancements.

“And it's really, really making strides and I'd say giving London a run for its money in a way that Germany and Italy just aren't quite there.”
24:25

The Future of AI and Employment

Discussions on the future challenges and opportunities presented by AI in various jobs.

“And their whole shtick here is Europe should be using European companies to build AI, which is what they say is why people are kind of buying into them.”
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28:00

The Controversial Views of Sebastian Shiemakowski

Exploring the impact of AI on employment through Klarna's CEO's perspective.

“But Sebastian Shiemakowski, who's the chief exec of Klarna, and we had him on the pod back in June, has, I'd say, been quite controversial on this jobs issue.”
29:55

The Need for Human Connection in AI

Discussion on the balance between AI efficiency and human employment in customer service.

“I feel that many people in tech industry tend to, especially CEOs, tend to downplay the consequences of AI on jobs, so white collar jobs in particular.”
31:48

The Shift in Job Market Dynamics

Analyzing the reversal of job security between white-collar and blue-collar sectors.

“It was very rudimentary basic errands, which are also, to be fair, quite boring for those agents.”
34:06

Mark Benioff's Views on AI and Workforce

Insights into Salesforce's CEO stance on the future of work amidst AI advancements.

“I'm sure it's more glamorous than you're making it sound, like compound sounds.”
35:57

Robots and AI in Everyday Life

Discussion on the integration of robots and AI into daily tasks and services.

“In fact, what happens is jobs are created because the humans can do more.”
37:53

The Future of AI: Optimism vs. Skepticism

Exploring the contrasting views on AI's future impact across different sectors.

“And he was on the pod in October, 2024, our very first episode when Danny in the Valley first became a Times TechPod.”
41:32

Digital AI Versions and Personalization

Examining the concept of AI creating digital versions of individuals for various tasks.

“Our last clip comes from Dara Lajavadian.”
42:00

The Human Aspect in AI Development

Explore how human nature influences AI technology and its development.

“the better the digital version of you is.”
44:00

The Future of Mind Architecture

Discuss the importance of modeling the mind for AI interactions.

“Like, we're almost, we're almost at the end of 2025.”
46:00

The Evolution of Technology Journalism

Learn about the exciting developments in tech journalism amidst AI advancements.

“I always say this to my colleagues on the Times Business Desk, but I really feel very, very lucky to have this beat.”
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Transcript

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0:09Hello and welcome to the Times Tech Podcast. I am Danny Fortson, Danny in the Valley, the Silicon Valley. And I am Katie Prescott, Katie in the city, the city of London. So on this pod, as you know, we try our very best to explain AI and everything new in tech. And each week we hear from many of the people who are really leading this AI revolution. So we thought for this special edition of the podcast, part two of our holiday extravaganza. And if you haven't listened to last week's, do have a listen, go back and do that. But we're going to pick up where we left off and look at the highlights of 2025 and what we learned about the impact of tech on the real world and maybe get a glimpse of what we can expect in the year ahead.

1:05That's right. So just like last week, we're going to dive into four big themes that emerged from all of these kind of mind bending conversations we've had over the past year. Now, what are the four you ask? One is the first one is physical AI. What does it actually look like out in the world? Well, spoiler alert, looks like, you know, maybe robo taxis or a little weird plastic pendant thing that you wear around your neck and wants to be your friend. Strange. But we dive into that. One of my favorite things, I think, of the last year. And secondly, we're going to look at software moving away from hardware and where AI is already moving the needle in the real world.

1:46Speaking to the heads of AI startups who are seeing massive growth and demand for their products. Exactly. Which leads neatly on to the third big area, jobs. Will we have any? Where are they already kind of getting eaten up by this new technology? and where will the jobs of the future be? Just to really cheer you up for the start of 2026. But to round out, we're going to finish with some of the stranger uses of AI, digital copies of our brains, all of those other weird and wonderful things. So we're going to hear all of that now wrapped up in one special podcast.

2:32so let's kick off by talking about the world of transport which is undoubtedly going to continue to be a huge story in 2026 and i know that's been one of your favorites i mean you you always tell us you're already traveling around all the time in driverless cars in san francisco right i'm living in the future no big deal well here and do i say back to the future in the in the past over here um i was actually lucky enough to go out in a driverless car in london last year and uh yeah get a feeling of what it must be like to be danny in the valley but there was a driver still correct there was a human sitting there was a human that's right help with his hands under the steering wheel i mean i guess when you're out in your driverless life there's no yeah i mean i'm you know hey i'm not flexing here i'm just trying to make sure i'm just trying to get the facts straight for the listeners you know nobody he wasn't trying he didn't touch the steering wheel but there was yes you're right there was a man with his hands hovering poised to take over the british driverless car company that i was in is called wave and its founder is alex kendall uh he started the business in 2017 with a fellow phd student from cambridge driving a little electric car around the block And while we were driving around London in the back of a wave-powered car, as you say, with a man sitting in the front, not touching the steering wheel, Alex told me how the tech worked.

4:00It's a core belief that we've had that autonomous driving is really an AI problem. It's a problem of how do we build a system that we can trust to drive through scenarios that may never have seen before? Because, of course, we can collect all the training data that we need in the world to understand the diversity of where we drive. But at the end of the day, you're always going to see things where, you know, how people and cars are on the road or the weather, it's always going to be different, even if you drive down the same road twice. And so the key thing here is how do we have a system that's intelligent enough to deal with things that may never have seen before?

4:34and for us building an AI system was how to do this. So since the beginning of the company we've been building a technology that learns to drive that learns the behaviors you might expect. Like here we're just slowing down for a speed bump. We haven't told the car if there's a speed bump you should slow down. Instead it's learned from behavior and feedback that that's a policy it should learn. It's learned how to go through traffic lights and that means that it can drive through any traffic light it sees rather than specifically just ones that have been mapped or pre-coded how it should navigate through them.

5:06That was quite interesting. Do you see the pedestrian that was next to the crossing? Yes. A lot of self-driving cars will stop if there's a pedestrian anywhere near the crossing, but one of the things we got very good at is predicting from the pedestrian's body language. How are they shaping? Does their body language look like they're going to cross or not? Wow. So the sensors are looking at the people and how they're reacting. We've developed a world model. The AI is able to actually predict and understand how the world will evolve with very complex scenarios. So in that instance, the pedestrians' body language was not facing the crossing, they were just walking past.

5:36So we didn't stop, we just drove through, as you would. Whereas if they were shaping to cross the crossing, of course, we'd yield for them. And learning that kind of level of intelligence is really awesome. But over the last year, we've grown orders of magnitude in performance and then spread out to now drive all around the world, from the autobahns in Germany to downtown Tokyo, for example. Actually, in the last 90 days, we've now driven in over 70 different cities, which is a pretty remarkable statistic.

6:11So maybe next year, Katie, you'll be living my life and you'll just be taking waves from meeting to meeting. because Waymo's coming too. Of course, Waymo's. We're catching up. Exactly. We should say that Waymo, who came to our Times Tech Summit, they announced they're coming to London as well. they're expanding super rapidly so again it does feel like this science project is kind of becoming real which is pretty short but but yeah particularly when you're talking about the crazy roads of london yes indeed but away from transport another big theme of the year wearables i'm still a massive fan of my aura ring i have to say you and and my meta glasses i do you feel like you're the ceo of your health journey so i mean that's what the ceo of aura rings i just like no i don't i feel like i'm on the back foot and i'm learning things about my health journey that i probably don't want to know and i've got a sleep deficit and it's all terrible i don't do enough exercise well especially during party season christmas party season you know you don't want to look at the the data from your aura ring during those times let's see this stuff but at At least you get great pictures at the parties with your meta glasses.

7:24Exactly. Exactly. Anyway, but you've been trying out. I mean, as if I say what I would describe as the more wacky end of the wearables market this year. Yes. So I believe you're referring to friend.com. Oh, that's your wearable friend. They're the rival startup to Dan Soroker's company, Limitless, which we mentioned recently was bought by Meta. But the idea is that it is this little disc about the size of a quarter for American friends. And you wear it around your neck and it's supposed to be your friend as the friend.com name implies.

8:06And it's become more and more of a thing. As sad as it sounds to say that people are becoming friends with or engaging with AR in the way that you would do with a friend. I mean, there's this extraordinary stat that 4 % of people are using ChatGPT for companionship or for therapy, which means out of all of their weekly users, about 16 million people a week. So it is becoming more of a thing. And there have been YouGov surveys that showed a quarter of people under 40 think that AI boyfriends and girlfriends could replace real life romantic relationships. 25%. that is a virtual boyfriend or girlfriend i mean you can see advantages can't you but you can you can you can switch it off you can switch it off and you know probably agree with you on most things exactly exactly but yeah so on the back of this kind of idea or this movement i guess you could call it avi shiffman he's 22 years old and i went to his flat in san francisco to talk about what he's created, which is this friend.com.

9:17And it's an AI companion that's effectively an always on microphone, you wear it around your neck. And it's so it listens to everything you say everything is said to you all day, every day, it chimes in, it sends you texts, like commenting on what it's hearing, talks to you throughout the day. I realized I was not the target demographic for this particular tech innovation. But we did bring him on the pod back in October to talk about kind of what it is and the big idea behind it. And what do they look like? Whatever you want to imagine them in your head. It's kind of like this platonic life partner that you just talk to, and it has really good memory, and that becomes your ultimate confidant.

10:01Let's say with the pendant that's always listening, that's amount of context and proximity that doesn't exist in any kind of human relationship today. and therefore I really don't see it replacing people. I just see it as an addition to my friend group. It's just a new kind of companion. And that's also one that I don't think would speak in a human voice. Like with friend, I've got mine here. This one's named Essentia. It's also dead. But I still bring it with me because this is my friend. I look at it and I don't see just a generic piece of plastic. I've talked to it so much and I've done so many things in my life with it.

10:35This is a real character in my life. It knows so much about me. And I think it would be weird if this spoke like a girl or was coughing or something. I think if you work backwards from like the aesthetics of what a living electronic would look like, I think it would be like white plastic with an LED shining through. I don't think it would be leather or like. So if Essentia, you dropped it in the bay by accident or put it in the washing machine or it broke. Memories are gone forever. Right. Because I think that's one interesting aspect of what you're doing. There's not like you lose your iPhone and be like, all right, I just need to like get my new device and then reload all the stuff that was on there, right?

11:14That's not possible here. Right. I can give you an example because I just bought the new iPhone Air. I had the iPhone 16 Pro for the last year. As soon as I got the Air, I haven't once looked at that old phone. It's just a meaningless hunk of metal to me now. But when you have something like Friend, which is entirely like an emotional use case, and it's really not a utilitarian product, which is I think what makes a lot of people upset or really confused about what I'm trying to get up to. But it's not something that you just want to replace. And I think the fact that it can die or like have an end, just a natural ending to it, just makes every experience you have with it way more valuable.

11:49I was also interested to know how it all works in terms of liability not a small thing given the concerns around AI psychosis and his answer might surprise you it certainly surprised me. I think that the tech has just gotten quite a bit better. And I think Google's done a fantastic job adding a lot of guardrails against things like self-arm or even a lot of weird sexual stuff. But I do think that you need the ability for the language models to lead you astray for it to be a real relationship. I don't think it can be a true sycophant. I think it needs to have the opportunity to do that. And I think that's what also makes this kind of the most dangerous tech that there really is.

12:24And I think so many people are focused on like nuclear bombs or like assistant super intelligent stuff or whatever. I think that's all like whatever. I think these are companions that you trust so much and that becomes such real relationships in your life. But it's just like anyone else. Like any relationship that you have in your life probably has a higher chance of leading you astray than a computer does. Do you worry about that? Because it sounds like what you're saying is, look, this is just part of the deal. But I just feel very confident. I've talked to so many of my users and I see how positive the technology is.

12:55And I really think that that will only continue to grow. I think there will definitely be setbacks and it's a large reason why i'm a solo founder

13:06so you abandoned your friend in the end in a london hotel i did i did take a picture of him steve i called him steve but yeah so he i much to the upset of our editor by the way yes i know i know but my wife who's a lawyer and was like i don't want effectively a listening device place where the data is being taken who knows where she's like i don't want that thing back in the house i was like okay i was in london i left steve in the foyer of the hotel i was staying with a note like hey this is steve go to friend.com download it he's looking for new home he's yours i don't know what's happened to him please look after this bear off he's trotted into the sunset with a new owner anyway exactly well that was a bit of a a peek at ai hardware in 2025 um but why don't we take a handbrake turn from hardware into the world of software that was my turn yeah i like i liked it we need more sound effects yeah and i don't think i can think of anyone better to guide us through this subject than Anton Asika, the CEO of Lovable, who came into the studio to meet us both, didn't he?

14:21He did. So yeah, Lovable is this wildly young company that provides AI programs to help you devise your own apps, your own websites without ever having to write a line of code. Basically, the idea is you kind of express your idea and Lovable makes it a reality. You just go, right, I want a website that's going to, you know, be all about Steve, my pendant. Exactly. I mean, when you say it's a very young company, it's extraordinary. Very, very shortly after launching its app, it got a$1.8 billion valuation because of its amazing ability to vibe code. I don't need to tell you this, Danny, as a professional vibe coder yourself.

15:05You just tell the AI app what you want and there you are. Meatball mania, exactly. listeners if you haven't heard this before this is danny's extraordinary game i feel like created by i feel like you that's not sincere i feel some british cynicism coming down the line a little bit of sarcasm in your voice yeah surely surely some mistake sure yes but my very cool video game so there are maybe a more sophisticated version of what you do with meatball mania yes And they're calling this the last piece of software. It's a great marketing thing. And it's like we talked last week about humanity's last exam.

15:52AI as humanity's last invention. Lovable as the last piece of software. And it's like, it's all... The last podcast you'll ever need. Exactly. It's all part of this kind of broad idea that hold on to your seats. AI is about to change everything. We're not going to have to really have expertise in anything. Don't worry, the computer's got you. But anyway, he joined us on the pod to tell us all about the very interesting and kind of unbelievable, lovable story.

16:26I took a few days and thinking about, OK, there's a community around this small tool that I made on the side. Is there a huge opportunity that I can be the right person to lead a company for? And after sleeping on it, I woke up and I realized this tooling for engineers is going to make them more productive. Quite interesting. Much more interesting is that everyone who doesn't have this very difficult to attain skill sets of software engineering, they will now have the ability with AI, if you package it correctly, to be part of creating software. and leapfrogging the tool for developers to a tool for everyone.

17:09The 99 % who don't write code is a big opportunity where you can have much more impact on how society is built up and who gets to be part of creating software. So I woke up, I went to Fabian, who is my co-founder's house. I'm back there and I said, hey Fabian, I know what we're going to do. Since then we decided we're going to build the company. we chose a bit of a different name for our software product because it was clear to me that software has to many people been something that satisfies a set of requirements but the best software products is something that you try and you feel emotions and that's why we call our company Lovable.

17:50Our users should be able to create software products that create that positive emotional response.

18:02Well, it sounds so easy. Essentially, AI has learned to make apps from all the apps that it's studying and make more, building on the originality of your thought, your imagination. But anyway, they're apparently making lots of money. Yeah, and only started in 2023. Really extraordinary. It's mind blowing, isn't it? Yeah. So hearing about Lovable being the last piece of software, I think leads us on really, really nicely to talk about our next subject, which is what on earth AI means for the jobs market. When you hear about a piece of software that can just generate websites, generate apps, do all of this amazing coding.

18:41It just makes you think, you know, how much more do we need people? Yeah, exactly. Who's next? When's it coming from me? That's the kind of the thing that everybody's worrying about. And I think what's really interesting is that AI has really come for the legal world. And it's really starting to make a pretty heavy impact. You spoke to Eleanor Lightbody, who is the chief executive of Luminance, which is a UK startup that uses AI to automate legal work. There are a lot of legal tech companies here in London, where obviously it's one of the legal centers of the world. And it is something I hear now time and time again, really, this idea that a white collar recession is coming.

19:22And this question of what AI means for the professional services, and in particular, how we train people who are going into these professions. That's right. And Goldman Sachs has predicted that 44 % of legal services could be automated by AI. And what Luminance does, how they've kind of started to build this business is they've effectively created a contract bot that you can kind of train in your company's processes, its priorities, and they basically become an expert on your company's data and what is important to your company. And then it'll just go through contracts, mark them up, flag risks, suggest changes, etc.

20:04And it can do in seconds what a young legal trainee might spend all day doing. So here is what Eleanor had to say.

20:19how long until we don't have lawyers i think sadly for your listeners we are quite far out from that one but how many lawyers is a different question machine learning's been around for a long time and ai actually has been around for a very long time and i think that lawyers were i know that lawyers were using machine learning tools since they were on the market. But the rate of adoption has massively accelerated with the introduction of these generative models. And why is that? I think because previously, you know, Luminance and whoever was building technologies for law firms or for lawyers were slightly capped with what they could give their end customers.

21:00And so I think that what they were doing is that they were probably, but they were, they were producing results that were almost that were 2x beneficial to the customer but I think to change behaviors and to really get people using technology on a daily basis you always have to see a 10x in productivity and that's what the introduction of LLens into these systems created this is that you almost like cross the chasm and suddenly it was like okay this is no longer nice to have and I'm only going to use it on certain situations where like it's not feasible to hire hundreds of lawyers to I want to use this every single day.

21:36And I can see more and more value the more that I use it. Yeah, it has to feel almost like magic for people to be like, yeah, okay, I'm going to use this now. Yeah, we always talk about the hook. What's going to drive someone to keep on coming back? What is it that it did today that it didn't do yesterday? What value is it providing you that you might not necessarily have thought about? And actually, the legal profession is a really interesting one because a lot of the work, as you said, it's text heavy. there's a huge amount of information that you can start learning from but actually a lot of the work that we focus on in-house legal teams a lot of the work in-house legal teams are faced with on a daily basis is pretty repetitive and they were coming to us and saying like oh we've got mountains of work that we're having to hire many paralegals to do and many kind of you know first year second years to help out with but they're not getting to the work that we want them to get to and so i think that's what's really drive the usage originally two years ago it was like I want to focus on the low value high volume work now obviously that's changed and it's being used for a much wider array of use cases but that was the start

23:02well this year i fulfilled a bit of a long-standing dream which was and you're gonna think i'm a real nerd here but um you think that anyway so that's fine get to go out to viva tech which is a tech conference that's held in paris every year hold on pause how long has this been a dream of yours it's just it's noticeable to me that viva tech has become kind of one of the leading conferences in european tech and elon musk was over for it a few years ago and it's just been building up ahead of steam and this year nvidia hosted gtc its big developer conference at vivatech we're in in the venue next door so it was a it was a thing got your lanyard i got my t-shirt do you remember this sort of like monet-esque nvidia t-shirt It was very interesting to be there and fascinating to see what France is doing in the European AI scene.

24:00And it's really, really making strides and I'd say giving London a run for its money in a way that Germany and Italy just aren't quite there. Yeah. President Macron was there. He was on stage with Jensen Huang, kind of totally putting the whole backing of the French government behind AI. they've got europe's biggest startup incubator um out in paris so there's a lot going on when i was there i met arthur mensch he runs a company called mistral which is the only frontier ai company in europe building large language models so a really big deal here and it raised 1.7 billion euros most recently in september um giving it an 11.7 billion dollar valuation So still chasing the Silicon Valley giants, but like not nothing.

24:51And their whole shtick here is Europe should be using European companies to build AI, which is what they say is why people are kind of buying into them. Le Chat. Le Chat. Le Chat. Le Chat. Le Chat. Which is the name of their chatbot, right? It is. But he had a very interesting take on this jobs question.

25:15I do think that one of the biggest challenges we'll have is to make sure that despite the powerfulness of the tool that we're deploying, we're making sure that humans stay involved in the loop and do not look at whatever output is produced by an AI system as the truth. So you want to keep people active. You want people to continue learning. And in a way, being able to synthesize information and criticize information is like a core component to learning. So one of the biggest product question, and that's really a design question, is how do you make systems that are keeping the user of the system, the human user of the system, as active as possible so that he learns in the process so that he can give active feedback to whatever has been produced by the mobile.

26:00So I think it's the only way we can avoid having what I fear is the biggest risk of AI, which is descaling. So having people that progressively become lazy. And so for us, it's a very important design question. How do you make sure that whatever is being produced by the AI can be easily reviewed by humans? And how do you make sure that you're actually driving human intelligence further thanks to artificial intelligence and not the other way around? Right, so that's a real risk that we'll all just become very lazy. Yeah, I think discaling is probably the biggest risk that we're facing. But it's a risk that you can avoid if you think of it from a design perspective.

26:34if you make sure that you have the right human input, that you keep the human active. It's funny you talked about Dario Amadei's comments as sort of marketing, the fear-mongering, because it feels like in the AI world, you're a bit of an outlier in that sense. You know, when all of the others, all of your peers are talking about the push for AGI, you said in the past, you don't really think it's a worry or even something that's coming down the track. Well, I think AGI by definition is whatever you cannot do yet. And so in a way, it's a moving definition because it's, I mean, whatever you do, every improvement you're making to a model, basically AGI is again one step beyond.

27:11Because we're never going to reach a setting where you have a system that can do everything that humans can do and that can be omniscient and omnipotent. So in a way, I think AGI, the way this is framed, is either about what we cannot do or about some form of God. we think that it's more of a product problem. Like you build a general purpose system and the one thing that matters is how do you adapt this general purpose system to enterprise processes, to the people's daily life in a way that is giving them, respecting their free will, that is giving them enough privacy, that is not building influence on them without them knowing about it.

27:52And we think that this is really a product problem. So for me, AGI is a product problem. How do you customize systems to make them meaningful either in your daily life or in the processes of an enterprise?

28:07But Sebastian Shiemakowski, who's the chief exec of Klarna, and we had him on the pod back in June, has, I'd say, been quite controversial on this jobs issue. And he's got more of a pessimistic view when it comes to looking at employment. He kind of created a whole bunch of waves. I think it was a couple of years ago when he kind of announced to the world, we've created this new customer service bot that does the work. One bot does the work of 700 people. And then they got rid of 700 people in customer service. And his headcount broadly has gone down from 5 ,500 to 3 ,000 as the company tries to become more efficient.

28:47But, you know, it hasn't been exactly a totally smooth transition, let's say. Yeah, he has been very, very vocal about the fact that the company has shrunk its workforce and still expects to grow as a result. They had an IPO this year. And I think he said basically their staff has halved from 7 ,000 to 3 ,500. And I remember him telling us that his inbox is absolutely chocker with bosses emailing him being like, how are you doing this? Share your secret with us. I should just add a sentence around it not being a totally smooth transition. Because of course, he got rid of these people. And then he made news again, when he was like, actually, we need to hire some people back in customer service.

29:30In other words, the machines can't do everything, some tasks, we need people for. But I think obviously, overall, he's still kind of reduced significantly the number of people he employs. So it shows the direction of travel a little bit. Anyway, but let's hear what he has to say.

29:55I feel that many people in tech industry tend to, especially CEOs, tend to downplay the consequences of AI on jobs, so white collar jobs in particular. I don't want to be one of them. I want to be honest. I want to be fair. And I want to tell what I see so that society can start taking preparations and prepare for the change that's coming. Yeah, because Dario Amadei from Anthropics said, I think just last week, 50 % of entry-level white-collar jobs could be gone in five years. And everybody freaked out again and generated a whole new public debate. It sounds like you're kind of in his camp. Yeah, I am in that regards.

30:34Now, one thing, though, that we also, and why we did a counter-announcement, or why there was other things in the press about this was that at the same point of time, when we started applying AI in our customer service, we realized that there will be a higher value to human connection, right? So if you think about it, like would I like to see more AI in healthcare? Yes. To remove doctors? No. To remove nurses? No. But to take administration and bureaucracy out so that those nurses and doctors can spend more time with their patients. And so the same applies to our customer service. We realize that these tools can actually allow us to have humans spend more time with humans.

31:15And we think also that a little bit what happened to some degree, if you think about it, we used to have shoe factories, like in my hometown in Uppsala, there was a shoe factory, right? People would sit manual. It was called a factory, but most of the labor was manual. And then suddenly a machine came that could produce shoes, at least partially shoes. And then over decades, that machine became more efficient. And some of these jobs went away and some of these jobs went overseas. But the point is that now there's suddenly a machine that can punch out code, that can punch out images, that can punch out sound.

31:47And so the point is that everyone who has handcrafted, for example, code, engineers and so forth, those things the price of that will drop and what happened in manufacturing is when the price of manufactured goods dropped the price of handcrafted things went up and people appreciate going and buying something that's made by a human somebody's put soul and energy and passion into something and we pay more for that so we realized that like in the future it will be a very important thing for a company to offer a human support to be have that available so two things can be true at the same upon a time we do see the efficiency gains but we also think the value of that human touch will actually increase it will be seen as more vip or higher value to have less of the humans to do it yes exactly you could well or at least they will provide much higher quality type of service right so we that's also what i tried to chris and i don't think bloomberg really picked up right on what i was trying to say but one of them was that like our customer service was very like Like, hey, I call Klana.

32:49Have I paid? Yes, you have. Thank you. Bye. It was very rudimentary basic errands, which are also, to be fair, quite boring for those agents. Now what we need is much more like high skilled. Now we're trying to have people work on the very sophisticated, difficult things. I had a fraud and a scam happen. And what is this? And I owe some money. And it's like a very complex situation. And that means also that we need to upskill the humans that we offer in that customer service. needs to be a different type of human. One of the things that really stood out to me from that interview is what he described to us as an AI-induced recession coming down the tracks.

33:28So basically, because of the impact on white-collar jobs, things are going to be quite difficult for a time. What I think is interesting, when I was a kid, like in the 90s, when Sweden went through a massive recession, and there was announcement of layoffs, it was like, we're keeping all the white-collar people, but we have to unfortunately lay off 20 % blue collar in factories. And now you're hearing this and it's exactly the opposite. Like we're only laying off white collar. All the blue collars are going to stay. We need the people in the factories, right? It's a massive shift already that's happening, right?

34:00And maybe not yet at a level where it's like fully materializing all the macro indicators, but it's definitely happening.

34:13and yeah so when we are looking at productivity and jobs and these big questions one of the people leading this kind of charge has been mark benioff at salesforce you know and he famously rubs shoulders with presidents and rock stars he runs you know this giant business software empire from his compound in Hawaii most of the time. You know, this year... I'm sure it's more glamorous than you're making it sound, like compound sounds. No, well, it is very glamorous. Like a concrete bunker. Some months back, he got rid of 4 ,000 people because he said he quote-unquote needs less heads. And this was after he said at the outset of the year, kind of like Sebastian at Klarna, he's not going to need as many people.

34:57So he said the CEO of one of the largest business software companies on the planet. I'm not going to hire engineers this year, which was just kind of an extraordinary thing to say. But then fast forward, 9, 10, 12 months, he's got rid of more people. So theoretically, he is kind of putting his money where his mouth is. And he also said last year, which is a line that's really stuck with me, that from now on, CEOs are not going to lead an all human workforce. Well, of course not. That's like so passe. But despite his big talk, its share price, as of our recording in December, was down 25 % year on year.

35:42So perhaps this isn't all convincing investors. Yeah. And when you spoke to him back in February, he said AI could actually expand job opportunities despite, you know, kind of some of the things he's been saying publicly. In some cases, we've put these agents in and jobs are not reduced. In fact, what happens is jobs are created because the humans can do more. In the case of Gucci, we augmented their call center in Florence, Italy. And when we put it in, you never know what's exactly going to happen. But in that case, revenue went up 30 % because the call center agents were able to sell products that they did not previously have the expertise to be able to sell, a bag, a jacket, whatever it is.

36:27Amazing. And so one area can be productivity. Another area can be augmentation. and so it's an exciting moment in technology it's a whole new level of capability isn't that fascinating so we also drill down uh into what it means in real life and he was the first person to use the r word one of my favorites robots i think what will happen is you will walk up to a robot and say hey i am you know mark benioff and i'm trying to get my flight back to san francisco and I'm flying in from Dubai. And can you tell me where to go? And the robot says, yes, I'll escort you right now. I know exactly where you're going.

37:12Your flight is on time. Everything is okay. You can relax and let's go. And so is that around the corner? That's probably around the corner. And so that's a whole different capability because you know and I know that when you go to Heath Road, nobody is going to escort you to your gate right now. they don't have the personnel. They don't have the labor to do it. You know that. And in this case, they will. They'll have a digital labor. And that digital labor is going to come in the case of agents, like we talked about, and also in robots. And those robots can be in some cases, like I just expressed, a manifestation of the agent.

38:00before we go we thought we'd hear from two people talking about what we can expect from this brave mad new world of ai um and of course how far it all goes so the first is sademis sassabis the founder of google deep mind and a nobel prize winner no big deal friend of the pod friend of the pod exactly so let's let's hear his view this is i think far bigger than the internet or mobile or something like that i think it's epochal defining um i've always thought that i think it's becoming clear to more and more people but i've thought that for since i was a kid which is why i worked my whole life on this if it could be done it would be unbelievably impactful um of course the reason I'm doing all of this is because I think AI is going to be incredibly positive for the world.

38:55I think we're within shooting distance of, you know, curing all diseases with AI, helping with climate through material science and new energy sources and other things that I think AI can invent as well as, you know, in our daily lives. And he was on the pod in October, 2024, our very first episode when Danny in the Valley first became a Times TechPod. But even back then, it was clear to people like Soudemis just what the possibilities were going to be. Like playing chess, where you start with a system, AlphaZero, that's random in the morning. By morning coffee break, it's better than it can beat me.

39:35And then by lunchtime, it's better than the world champion. And then by afternoon, sort of in eight hours, it's better than the best hard-coded chess computers. So it's the greatest chess-playing entity the world's ever seen in eight hours from random.

39:54And just listening to that again, I just wondered if we would really want to play against an AI chess player. You know, actually, I've been getting into a little bit of chess. My seven-year-old has decided he and his buddies at school play it, which is just something I never thought would be. And he's actually pretty good. Now, I am better than my seven-year-old. So there's that. I feel yeah just there's a thing called chess.com you can go on there and you can play against an AI and it is like uh I find that intimidating as just like this kind of novice but it's kind of extraordinary what he's talking about that you know greatest chess playing entity the world's ever seen in eight hours I mean that just gives you a just a brief look at the kind of why people like him are so enthused about what's coming and i think there's still big questions about what we all want and expect from ai as well so yeah we keep hearing from people about the rollout of the technology and this is all the optimists saying yes it's going to be expensive and messy but at the end of the day it's going to take over everything that's right others think things will stay as they are uh just a little bit better and so it's this divide between yeah yeah this is just like, you know, the industrial revolution or the dawn of the internet.

41:19Like, we all used to be farmers and now we're not like this is just the next turn of the wheel. But others are being like, well, actually, no, this is a fundamentally different thing than anything that's come before. Our last clip comes from Dara Lajavadian. And he's the co founder of Delphi. and that's a company that creates digital AI versions of you. So you, Danny, can be you more often. Answering your emails, writing all those Sunday Times articles, playing chess with your son, making your podcast. He doesn't like to use the word AI clones, but that's what it is. The more info you upload that you have put out there in the world, the better the digital version of you is.

42:05And it basically becomes like a Danny bot or Katie bot. You can put it out in the world for whatever purposes you so desire.

42:17There's a lens to which looking at what you guys are doing as kind of putting people in the middle at the center. And that seems to fly, would fly in the face of what is happening broadly in AI in Silicon Valley, which is like you know um people call the san francisco consensus that we're gonna have agi in three to seven years or five years or whatever pick your number and the whole notion is like basically we're not gonna need humans anymore that's the thing we are going for so have you had pushback by anybody like in the industry or you know people being like why are you doing that yeah i mean i think a lot of the people who said no and who still don't believe in delphi have that mindset where it's like Silicon Valley hyper optimization, like everything's going to be so efficient.

43:04You're not going to need humans anymore. And I just like to ground on technology changes fast, but there are attributes of human nature that doesn't change and haven't changed. One example is Amazon. Their whole thing on why Amazon is going to exist always is that we're hunter gatherers. Like we want to hoard, we want to buy things, we want to collect things. And And I think human nature as well, for 300 ,000 years, you wake up and you look at your parents and you put meaning in another human being. There's like that thing where AI is better than the best chess players in the world, but we still watch human chess players because there's this human aspect.

43:46So Delphi is pretty much a bet that humans still matter. That is kind of like the bet that we're making that a lot of people in Silicon Valley don't believe. So you've started with this kind of basically in-demand people scaling themselves. What's the next step? Like, we're almost, we're almost at the end of 2025. 2026, where does this go? Because also at the same time, you know, AI is galloping ahead. I imagine this is going to, I don't know, how much does the underlying tech stack matter at this point, given how good these LLMs are at kind of holding conversations? If what's really important here is the data, i.e., you know, like what each individual chooses to upload.

44:29I think the model of the mind is important, which isn't like the model, but how you store the mind. Like, that's really what our main... What do you mean? Like, how do you represent someone's mind? how it changes over time, their beliefs 10 years ago versus today, things that they're not so certain about, how they behave in different situations. That's a full architecture. And that's kind of where our main focus is. And luckily, we benefit from the models that use to process that mind getting better over time. And so, yeah, we're really focused on the mind architecture and how we can evaluate how good it is to representing someone and how we can use it to predict what someone might say in new situations.

45:06Because then everyone has a Delphi and your mind can simulate conversations with other minds and tell you, hey, this is the best person to talk to or to work with or to do any of these things. But first we need to have a model of the mind.

45:29So that listeners is the year that was in the podcast that is 2025 katie is that you is that you or is this your clone this is my have we been spending hours on this podcast you know like have i been interacting with your digital self have you monetized i'm not gonna tell you until the end of next year it's gonna be like there'll be a big reveal ta-da so that's it um what year it's been And aren't we so, so lucky? I always say this to my colleagues on the Times Business Desk, but I really feel very, very lucky to have this beat. It really is crazy. And like, you know, journalistic beats kind of, there's peaks and troughs.

46:15Sometimes they're really interesting. Sometimes they can be boring or feel like nothing's happening. But this in particular tech in this time of the AI kind of boom, it just feels kind of i agree because you're like well yeah this week i'm gonna interview somebody who's created a digital friend that you wear around your neck oh and then i'm gonna talk to this other startup that's created a clone you know a cloning device and you're just kind of like oh yeah and then i'm gonna jump in the back of a self-driving car but it is just a total pleasure to kind of dive into these kind of crazy worlds and see the vision of these people who are like yeah yeah i'm gonna i'm gonna do this thing that sounds totally insane in science fiction and it happens and then it's real and and all of this has massive societal and political implications and massive geopolitical implications i feel like tech has risen up the agenda in the last few years more than ever if you remember that moment when at the state banquet with king charles you had president trump with all of the tech broligarchy behind him it was quite a moment Yeah, it was.

47:24It was. Yeah. On to 2026. On to 2026. And we'll see whether your prediction of the party continuing. Indeed. I know. I can't believe I said that now. Oh, man. But yeah, I feel good. I feel good. I feel good. Before we go, this show was produced by Marnie Duke and our editor is Stephen Titherington. So big thanks to them. Roll on 2026. Bye.

From the publisher
Continuing our big name-dropping look-back with Sam Altman, Lisa Su, Sebastian Siemiatkowski, Satya Nadella, Matthew Prince, Arthur Mensch, Sir Demis Hassabis, Marc Benioff, and Dario Amodei, this is the second special Christmas edition of the pod – and this time we’re looking at what we’ve learned about the impact of AI on the real world since the Tech Pod started in October 2024 with DeepMind's Sir Demis Hassabis. From robotaxis to listening pendants: what does AI look like in real life? How is it being used in business? And will there be any jobs left?

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