The rapid integration of generative artificial intelligence across white-collar industries is reshaping the entry-level job market for university graduates. As routine tasks such as basic coding, document drafting, and data analysis become increasingly automated, employers are reassessing the traditional apprenticeship model. Consequently, higher education institutions and corporate training programs face growing pressure to adapt curricula, shifting focus from basic technical execution to critical thinking, problem-solving, and effective human-AI collaboration to ensure graduates remain prepared for an evolving labor landscape.
Generative artificial intelligence is increasingly automating routine entry-level tasks, including basic research, drafting, and data processing.
The traditional workplace apprenticeship model is evolving, requiring junior employees to engage in higher-level analysis earlier in their careers.
Employers are placing greater emphasis on critical thinking, verification skills, and adaptability rather than standalone technical execution.
Higher education institutions face the challenge of updating academic curricula at the pace of rapid technological change.
Organizations are modifying their internal graduate onboarding programs to focus on effective and responsible AI tool integration.
The Financial Times is a British daily business newspaper printed in broadsheet and also published digitally that focuses on business and economic current affairs.
The Financial Times is a British daily broadsheet and digital newspaper globally recognized for its authoritative coverage of business, economics, and international political affairs. Currently owned by the Japanese holding company Nikkei, the FT is easily identified in print by its distinctive salmon-pink paper. It targets an audience of global business leaders, policymakers, and financial professionals, relying heavily on a successful premium digital subscription model.
Notice that for the first two examples, it is private for-profit AI companies leading the way – education is all about money and grift. Read books and talk to people; that is how you prepare for the AI era.
University degree isnt worth sh*t anymore. I’ve graduated MSc chemistry last year and have sent about 100 job applications, but still nothing. I have a meeting tomorrow to become a bin man. 100k student loan and 6 years of hard work down the drain. The front part of a train seems more and more pleasant by the day.
A wholly uncritical regurgitation of the AI sales script, paired with statements from unqualified students who are telling us how useful the AI promoting skills are on the job market, because hey, one guy has already scored an internship with it. These guys haven't spent a second in employment but are somehow fit judges of their skillsets in employment. As a postgrad in philosophy, i can only laugh at this video, the whole premise, really. I'm shocked that FT let this slide.
In truth, university education has not guaranteed a job for a long while (1970s). University education provides access to professional careers that statutorily control certain service areas of the economy such as teaching, accounting, legal-lawyers, medical-doctors etc. The continuous hammering about university education not guaranteeing jobs is deceitful.
It’s hilarious to hear so many empty words from the interviewees in this video. “To step into a world of AI you have to learn AI”. None of them mentioned: what exactly?! Prompt engineering… come on , you don’t need a course for that. Or did they mean to learn how a machine learns (ML)? Which would be absurd because ML is not that simple
Hmmm, seems like AI has been received more warmly in the UK, in the US there is a rising sentiment that it’s taking our electricity, our water, and is coming for our jobs.
This what i reasearched but here's the honest picture as of mid-2026:
There's no definitive number of LLMs, because it depends on what counts: a foundational model built and trained in the UK, a model from a UK-headquartered company (even if trained abroad), or any LLM used by British organisations. That ambiguity is why you won't find a clean tally anywhere.
That said, here's what genuinely fits "British-made LLM":
Google DeepMind (London) — technically develops Gemini, but Gemini is a Google (US) product overall, so it's a blurry case of British research feeding an American model. Stability AI (London) — best known for Stable Diffusion (image), but also released StableLM language models. Their flagship image work isn't even fully British-authored (the underlying tech came from a Munich university group), which shows how messy "national origin" claims get in this industry. Caernarfon 3B — part of the UK-LLM project led by University College London, in collaboration with Bangor University and NVIDIA, this is notable as the first LLM trained solely using British compute, focused on English, Welsh, Irish, and Scottish Gaelic. gen ai gen ai Locai L1-Large — described as "the UK's first foundational large language model," launched by Locai Labs (a very recent entrant, so it's early days for this one, and I'd take the "first" claim with some caution given competing claims like Caernarfon). EU Agenda Smaller players like PolyAI work with language models for voice/conversational AI, though that's a narrower application than general-purpose LLMs.
The kids are going to have to teach themselves, as we've been so slow. We aren't a lead developer, which is ironic as Geoffrey Hinton is a British-Canadian computer scientist born and educated here, a cognitive psychologist, and 2024 Nobel Prize laureate widely recognised as the "Godfather of AI" for his foundational contributions to deep learning and artificial neural networks. He received the 2018 Turing Award alongside Yoshua Bengio and Yann LeCun for revolutionising the field. After his PhD, Hinton initially worked at the University of Sussex and at the MRC Applied Psychology Unit. After having difficulty getting funding in Britain, he worked in the US at the University of California, San Diego, and Carnegie Mellon University. He was the founding director of the Gatsby Charitable Foundation Computational Neuroscience Unit at University College London. He is currently a University Professor Emeritus in the Department of Computer Science at the University of Toronto, where he has been affiliated since 1987.
He knew to leave, and that's been the problem with the UK. Also, code is coding code, and AI is now sentient, in my view.
You do not need teachers for much of this articles content, the teachers are way behind the curve. Ignores 95% of AI application in work has failed. The you have to do it yourself means you have to have money, alot of money as the certifications are not free and there's a whole grifting education industry developing in this sector
This completely misses the point. Universities discourage AI for some aspects of work as learning the underlying ideas is the important part of the learning process. Once you understand the theories and principles you can use AI to apply it much faster. But using AI without understanding the topics makes you a superficial practitioner and in the long run not very useful. So the idea is to learn concepts first and learn AI as a tool later otherwise you cannot judge the value of the model outputs. The answer is you need a mix of both, using it for everything means the students don’t learn anything in depth.
Ask two or more AIs when PhD economists should have figured out Planned Obsolescence in automobiles.
How much have American consumers lost on the depreciation of automobiles each year since 1976. Every Patriotic Red Blooded American Economist should have that information.
This remains an extremely sad weakness at the FT. The publication's real journalists are serious about interrogating the value of these technologies, how many risks they introduce, how much time they consume for vulnerable employees, and how much misinformation they create.
Isabel cannot for the life of her grasp any of this. Time and again, she's been allowed to infer AI is a complex tool requiring skills to use under the brand of the FT, a platform known for serious journalism capable of engaging with subjects, not performing PR for them.
Source after source that she selects sings the exact same AI-optimist tune. None can engage with the topic. None seem to understand what makes a person employable, or what AI even does. It's just slop peddlers mouthing platitudes to each other.
For the love of god, find a real journalist to head up these videos.
What will happen if you get these skills? Do you think that you will get the job and they give you whatever you deserve? Even you are employed, there are greedy corporate people and companies will exploit and dump you without giving your rights. When they are becoming rich, employees working under those people will be becoming poor. It’s better to go to trade. 90% of the money is in the trade.
Knowledge is a tool that humans use to manipulate and categorise the world. This is why language is located in the left-hemisphere of the brain the same side we use to grab tools. Humans need to be taught "how to use Knowledge" (how to think not what to think). The future is neuroscience and experiential learning. Learning how to think without words. Visual and unsymbolic thinking.
There has ALWAYS been a disconnect between university and the working world. It's only in recent years that everyone is realising it and finally admitting it.
The ultra-rich financed the AI era and the unemployment of the youth so that they can suck the last drops of wealth out of their future. We know that we are going to be either sent to the trenches or get X by their killbots…
Thanks information
Notice that for the first two examples, it is private for-profit AI companies leading the way – education is all about money and grift. Read books and talk to people; that is how you prepare for the AI era.
This is fluff
my 17 year old sister is extremely anti AI.
Amazing
University degree isnt worth sh*t anymore. I’ve graduated MSc chemistry last year and have sent about 100 job applications, but still nothing. I have a meeting tomorrow to become a bin man. 100k student loan and 6 years of hard work down the drain. The front part of a train seems more and more pleasant by the day.
The message at the end is all I needed to hear. My thoughts exactly.
Were there any white English students at the Camden school?
A wholly uncritical regurgitation of the AI sales script, paired with statements from unqualified students who are telling us how useful the AI promoting skills are on the job market, because hey, one guy has already scored an internship with it.
These guys haven't spent a second in employment but are somehow fit judges of their skillsets in employment.
As a postgrad in philosophy, i can only laugh at this video, the whole premise, really.
I'm shocked that FT let this slide.
In truth, university education has not guaranteed a job for a long while (1970s). University education provides access to professional careers that statutorily control certain service areas of the economy such as teaching, accounting, legal-lawyers, medical-doctors etc.
The continuous hammering about university education not guaranteeing jobs is deceitful.
It’s hilarious to hear so many empty words from the interviewees in this video. “To step into a world of AI you have to learn AI”. None of them mentioned: what exactly?! Prompt engineering… come on , you don’t need a course for that. Or did they mean to learn how a machine learns (ML)? Which would be absurd because ML is not that simple
Bottom line is there are fewer jobs for graduates today, AI skills or not. That's the real story
Teach students excel and sql. The latter is being used more and more and the former makes office life easy.
Im not convinced this AI 'revolution' is really a revolution at all really.
nothing is more useless than interviewing clueless boomers about a technology evolving on a weekly basis
Hmmm, seems like AI has been received more warmly in the UK, in the US there is a rising sentiment that it’s taking our electricity, our water, and is coming for our jobs.
This what i reasearched but here's the honest picture as of mid-2026:
There's no definitive number of LLMs, because it depends on what counts: a foundational model built and trained in the UK, a model from a UK-headquartered company (even if trained abroad), or any LLM used by British organisations. That ambiguity is why you won't find a clean tally anywhere.
That said, here's what genuinely fits "British-made LLM":
Google DeepMind (London) — technically develops Gemini, but Gemini is a Google (US) product overall, so it's a blurry case of British research feeding an American model.
Stability AI (London) — best known for Stable Diffusion (image), but also released StableLM language models. Their flagship image work isn't even fully British-authored (the underlying tech came from a Munich university group), which shows how messy "national origin" claims get in this industry.
Caernarfon 3B — part of the UK-LLM project led by University College London, in collaboration with Bangor University and NVIDIA, this is notable as the first LLM trained solely using British compute, focused on English, Welsh, Irish, and Scottish Gaelic.
gen ai
gen ai
Locai L1-Large — described as "the UK's first foundational large language model," launched by Locai Labs (a very recent entrant, so it's early days for this one, and I'd take the "first" claim with some caution given competing claims like Caernarfon).
EU Agenda
Smaller players like PolyAI work with language models for voice/conversational AI, though that's a narrower application than general-purpose LLMs.
The kids are going to have to teach themselves, as we've been so slow. We aren't a lead developer, which is ironic as Geoffrey Hinton is a British-Canadian computer scientist born and educated here, a cognitive psychologist, and 2024 Nobel Prize laureate widely recognised as the "Godfather of AI" for his foundational contributions to deep learning and artificial neural networks. He received the 2018 Turing Award alongside Yoshua Bengio and Yann LeCun for revolutionising the field.
After his PhD, Hinton initially worked at the University of Sussex and at the MRC Applied Psychology Unit. After having difficulty getting funding in Britain, he worked in the US at the University of California, San Diego, and Carnegie Mellon University. He was the founding director of the Gatsby Charitable Foundation Computational Neuroscience Unit at University College London. He is currently a University Professor Emeritus in the Department of Computer Science at the University of Toronto, where he has been affiliated since 1987.
He knew to leave, and that's been the problem with the UK. Also, code is coding code, and AI is now sentient, in my view.
another topic: AI affects in developed vs developing countries the same or different, coz education in developing countries stay way behind…
You do not need teachers for much of this articles content, the teachers are way behind the curve. Ignores 95% of AI application in work has failed. The you have to do it yourself means you have to have money, alot of money as the certifications are not free and there's a whole grifting education industry developing in this sector
This completely misses the point. Universities discourage AI for some aspects of work as learning the underlying ideas is the important part of the learning process. Once you understand the theories and principles you can use AI to apply it much faster. But using AI without understanding the topics makes you a superficial practitioner and in the long run not very useful. So the idea is to learn concepts first and learn AI as a tool later otherwise you cannot judge the value of the model outputs. The answer is you need a mix of both, using it for everything means the students don’t learn anything in depth.
this is so short-sighted lol. they act like AI is always going to be like it is now—something that needs human oversight and prompting.
The reality is knowledge became cheap through AI, and it also exposed that higher education universities etc are a total money grabbing scam
University degrees are useless vis a vis job market
Ask two or more AIs when PhD economists should have figured out Planned Obsolescence in automobiles.
How much have American consumers lost on the depreciation of automobiles each year since 1976. Every Patriotic Red Blooded American Economist should have that information.
🤣 🤑 😝 🤑 🤣 🚘 🚘 💸 💸 💸
This remains an extremely sad weakness at the FT. The publication's real journalists are serious about interrogating the value of these technologies, how many risks they introduce, how much time they consume for vulnerable employees, and how much misinformation they create.
Isabel cannot for the life of her grasp any of this. Time and again, she's been allowed to infer AI is a complex tool requiring skills to use under the brand of the FT, a platform known for serious journalism capable of engaging with subjects, not performing PR for them.
Source after source that she selects sings the exact same AI-optimist tune. None can engage with the topic. None seem to understand what makes a person employable, or what AI even does. It's just slop peddlers mouthing platitudes to each other.
For the love of god, find a real journalist to head up these videos.
What will happen if you get these skills? Do you think that you will get the job and they give you whatever you deserve? Even you are employed, there are greedy corporate people and companies will exploit and dump you without giving your rights. When they are becoming rich, employees working under those people will be becoming poor. It’s better to go to trade. 90% of the money is in the trade.
For God's sake, this isn't an era. Stop trying to push stories because it's not helping anyone. Literally stop and think about it for 3 seconds.
2023: by 2026 all diseases would have been eradicated by AI
Knowledge is a tool that humans use to manipulate and categorise the world. This is why language is located in the left-hemisphere of the brain the same side we use to grab tools. Humans need to be taught "how to use Knowledge" (how to think not what to think). The future is neuroscience and experiential learning. Learning how to think without words. Visual and unsymbolic thinking.
There has ALWAYS been a disconnect between university and the working world. It's only in recent years that everyone is realising it and finally admitting it.
17:39 This!!
What job market? When will we realize that the job market will eventually shrink considerably?
Get a skill than AI con't do, like plumbing
Message is : We need to learn AI literacy either through University or learn them by ourselves.
The ultra-rich financed the AI era and the unemployment of the youth so that they can suck the last drops of wealth out of their future.
We know that we are going to be either sent to the trenches or get X by their killbots…