AI is happening. We are not going to stop it, and we shouldn't pretend we can.
But we can manage the economy that AI will reshape. And we must.
In this video, I explain what it means to manage the AI economy through regulation that makes AI pay its full resource costs and through an investment-led programme to cut inflation structurally while creating the jobs AI cannot replace, most especially in energy, housing, skills, transport, and care.
This is not about surrendering to market forces. It is all about the government staying in charge.
This is the audio version:
This is the transcript:
I've done a number of videos now talking about the problems that AI could create in this world, and in particular in our economy. I have argued that AI can, and probably will, cause inflation, and it can, and probably will, cause unemployment, and these two factors, in combination, could result in the imposition of higher interest rates from our central banks, or the imposition of austerity by our governments.
None of these are very attractive options, let's be honest. AI does not look like a panacea for well-being as a consequence. So what can we do? How can we manage the AI economy in that case, given that we know AI is going to happen? That's the question I want to look at in this video.
AI is happening. We're not going to stop it. Let's not pretend we can. Let's not pretend we even necessarily want to. There are some benefits in this technology; let's not pretend otherwise. But we do know it can cause real problems. We know that at present, very few companies can see a positive use for AI, in the sense that they cannot see new products and services that they will generate as a result. Instead, they see a cost saving for them by making people unemployed. The risk is to real people as a consequence.
We also know that AI is an inflation risk. Why? Firstly, because it demands more electricity, and that will push our prices. Secondly, because it demands more water, and that could push up prices. And thirdly, because it could create shortages of IT equipment, which in the short term might have the biggest price implications of all. It's threatened that IT price increases in 2026 might be as high as 20%. In that case, there's no good news for inflation in this.
That combination of high inflation and increasing unemployment is, however, something that is said to be impossible in orthodox economic models. The so-called Phillips Curve rules it out as a possibility. But what is clear is that it is now entirely plausible, and the reaction could be higher interest rates from central banks as a result, because that's the only reaction they ever have when they see inflation rising, and we could see austerity from governments because they will say the inflation that is being caused, and the higher interest rates they're suffering, must require a cutting government spending.
Frankly, this looks like a completely ridiculous response, but it's one that is entirely predictable. The outcome would be perverse because it would intensify recessionary pressure. It would worsen household incomes at a time when people will be losing their jobs. It will damage businesses outside the AI sector, and that can be of no benefit to anyone, and it will discourage long-term investment in anything but AI, and again, there's no chance that this will improve well-being as a result.
In fact, what we'll get is something like a disastrous economy with high interest rates, low government spending, high unemployment and high inflation, which is a nightmare scenario unless we think ourselves out of the false choices we are being presented with.
The false choices are very clear.
We could be told that we have to have inflation control, or full employment, and central banks will always go for inflation control.
And we'll be told we have to have austerity, or we have to increase deficits, and as deficits aren't allowed according to neoliberal thinking, austerity must come our way.
Of course, all of this is false framing. It is an old economics for an era long gone, facing the challenge of a new technology in the form of AI that changes all the economic relationships that we know about, and which therefore requires us to reframe the whole of our thinking about the economy, in particular rejecting the household analogy that has been used to underpin the false agendas that have driven austerity for the last 15 years.
A wise government would see that.
A wise government would reject the choices that orthodox economics will present to it if AI moves in the direction I predict.
But we aren't sure as yet that we have wise governments.
So what we need to do is think about what should take place in a world where we know we face risks from AI.
What should we do to manage the economy that we are going to have, in other words? That's what I'm really interested in. And the first thing I'd say is that we should be challenging the threat at source.
The threat to our economy is going to come from AI just as much as it creates opportunities for some. That threat from AI has to be dealt with by regulation. It can't be dealt with by the standard techniques of inflation management that we've got now, because they won't work because there are no relationships left which they are meant to manage.
Instead, we have to challenge AI directly by charging it for the whole cost of its electricity. In other words, if AI is going to push up the price of electricity, the only person who should suffer the price increase is the AI industry.
And if the entire cost of water is going to go up because of the cost of AI, then the entire increase should be borne by the AI industry. And if the stress that this is going to create is going to reduce demand for AI data centres, we shouldn't be permitting so many. By implication, we will have to slow down the expansion of the AI industry to control the inflation consequences that it might give rise to.
In other words, we should not, as our government is doing, and many other governments around the world are doing, are saying, " Please come and do AI at any cost." We should be saying, what is the cost? And let's tailor a transition which manages those costs within sustainable resources. That's the key point now. AI cannot run the economy into the ground; it should instead be managed. The government needs to stay in charge.
But that, maybe, is not enough. Those measures cannot, by themselves, probably sustain an economy if we are really going to face the AI challenge. What we must do is actually look at how are we going to adapt to this new world where there will be fewer of the conventional jobs that we've had?
Now, let's be honest, we've been through this situation before. We've seen half a million miners lose their jobs in the UK at one time.
We've seen half a million people who worked on the railways at one time lose their jobs.
And of course, the entire typing pool that once provided masses of female employment in this country has simply disappeared.
So let's not pretend we can't manage changes of employment practice in the UK: we can. But we can only do so if we expand alternative capacity and training and create the resilience within our economy which manages this process of change to create jobs and reduce inflation pressure over time. That's critical, and that's what we need to do.
Let's look at how we can do that. Firstly, we need a range of investments that cut inflation, and I do mean a range. There is no one solution here. So, apart from the fact that we need to regulate the amount of power that AI can use, we also need to look at how else we can cut the costs of energy, because we can.
We can reduce consumption, for example. We could do home insulation and retrofit of houses. Not only is this immensely valuable with regard to job creation, and we do need jobs, it also cuts consumption, and that is key to managing the cost of energy demand. Therefore, we could reduce energy demand, we could reduce the exposure to imported energy shocks, and we could lower household costs, and we could therefore lower inflation pressure simply by doing this one task, which I've been promoting for 20 years now. Literally create what I've always called a 'Carbon Army' of people to go around the country and do home insulation and retrofit, and we will produce resilience within our economy and lower inflation pressure.
We could also change our energy supply because we need to do that as well. Renewable investment is critical at this moment. That's not just reducing demand. It's actually changing the way we generate. And we need to change the grid to match, of course. We all know that the National Grid is unfit for purpose. There is a need for a massive investment in the National Grid. Not one that is driven behind the market, but one which anticipates the market, and the new market is for renewables; therefore, the grid must change to suit, and the government must be providing the funding necessary to deliver this.
I have explained how the government could do that in other videos. It could change our savings systems via ISAs and our savings systems via pensions to require that both are invested in infrastructure in the UK. The money to fund these investments could be provided if only the government changes the tax incentives on savings in this country.
I believe £100 billion a year could be released in this way to literally invest in the programmes I'm talking about here.
But the consequence of investing in the renewable energy industry that I'm now talking about is that we would reduce our vulnerability to fossil fuel price spikes, those things that have caused so many problems for us in recent years. And we would create a more stable cost base across the economy with AI paying full whack for its costs within that structure to make sure that we are not subsidising it.
What's the third form of investment we should make? Well, we should be investing in public infrastructure and supply. We need to rebuild our public transport because it is too weak. We know that that's necessary. The government is talking about spending £45 billion on Northern Rail at present, and it has got so much it needs to do in the South of England as well, plus Wales and Scotland. All parts of the UK need investment, and again, I have found the money to do that. It's available if we want to, so long as we can train appropriately qualified people to do the job. But this is critical now.
It's also vital that we look at how we create supply chain resilience. There are key products and services that we buy from overseas, which are not resilient. In particular, foodstuffs. It's ridiculous that we are now in the situation where we grow so little of our own food supply. Let's just imagine for a moment that we are going to have those AI data centres producing vast quantities of heat. Why aren't we going to put next to them the greenhouses that could eliminate our import of, for example, many short-term foodstuffs like salad crops? Why aren't we putting next to them the greenhouses where we could grow tomatoes all year round and so much more?
All of this could be done. We could improve our resilience. We could do this in other sectors of the economy as well. The point is, do this structurally give grants to help it happen. That's what a proactive government should now do. There is no way on earth that we should now be allowing an AI data centre to exist without it adding to some other form of product supply within our national economy.
And we need to also invest in housing because that will also cut inflationary pressure. Housing repairs are necessary. They reduce waste. They reduce ill health. They increase productivity. They reduce the pressure on pricing as a consequence. And new construction expands real capacity within our country, which is necessary because our population is still rising, and housing costs are a core inflation driver. This is why delivering this programme within our social housing system is a priority because people need stable housing in the long term at an affordable price that they know will be guaranteed for a lifetime, because that's what people need to live in community.
Finally, and this is the last of these investments, to ensure that we can control inflation, we need to invest in skills and care. We need skills investment, and in fact, that is something that the IMF is literally saying in the last week. They're saying it is key to the economic transition to AI, and that is true in this country, but the government has to deliver this because the investment will be in jobs for which there is limited demand at present but for which there will be much demand in the future if only we can get ahead of the game.
So the time has come for the government to take the initiative here, and not markets, and we have to do the same with regard to the care economy. The care economy is fundamental to our future well-being because it is going to be about care when it comes to employment, because AI can take away the drudge jobs, but people will want to work, and the best chance for people to work is to supply them with jobs that AI cannot readily replace, and care is right up on the spectrum of jobs that can't be replaced by AI alongside, in my opinion, education, because like it or not, people need people to teach them what to do. All of this will build resilience and social well-being into the real economy and provide the jobs that people want, which will be rewarding, which actually would be a positive development from AI.
All of this will require a greater depth of economic understanding by a government; let's be clear about that. I'm afraid to say that very often our governments have worked on very simple metrics. For example, they talk about unemployment in the UK as if it is a single number, which is complete nonsense. Unemployment varies by region, by sector, by age, and also by disability and neurodivergence type as well, and this last point is particularly key when it comes to young people because we know they're suffering high rates of unemployment because of these issues.
Blunt policies are not now fit for purpose.
Poor data can't now let us manage the risks we face.
If AI is going to be good for anything, it must be about the production of data that helps the government manage the problems that we face as a consequence of AI. Otherwise, what is the point of having it? We must use AI to empower the state to intervene to ensure that we get better outcomes; otherwise, we are failing everyone.
And what this means politically is that we also need a changed mindset amongst our politicians. The reaction to pressure must not in the future be an increase in austerity, and insecurity, and wage suppression. It must instead be, that we will invest to protect our future.
This is what is essential, and it's particularly essential with regard to our politics of care because the point is, AI could eliminate drudgery from the workplace, and if it does do that, then what we need to replace that drudge work with is work that is genuinely fulfilling. That would be a political choice and not a technical one, because the means to do this would exist in this situation.
So the test for government will become, will it treat AI as a reason to cut, or will it treat AI as a reason to promote resilience? A courageous state will create employment, productive capacity, care, and democratic accountability, using AI to assist the process; otherwise, we'll be in deep trouble.
AI, as I said at the outset, could create severe economic harm for the UK and other countries around the world.
It could create interest rate policy that would have untold consequences in terms of a recessionary impact.
It could increase profits for a few at cost to many, and so we require governments that will rise to this challenge.
They must respond to AI with an investment-led-anti-inflation policy that creates the new jobs that we need because people will want them to manage the consequences of AI having displaced their previous activity.
This is about justice as well as economics, and that therefore requires us to take action.
We must say that we will not accept an austerity narrative as a consequence of AI. That is unacceptable.
We must demand policies that sustain jobs and stabilise prices.
We must demand that capacity be built, whether that be in energy or homes, transport skills and care, and vitally, you can take part in all of this; that's why we make these videos.
You can now begin to answer the question: Do we want to live in an economy fit for the AI age?
Share this video, talk about it. Literally subscribe to this channel because there are many more things like this to come, and comment on YouTube and take part in the poll that's down below. Let us know your views. They matter, and that's the key point here. This is about you, and that's why this is important.
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I dont disagree for a moment with what you have said but……
The hope in the past was that we would work less so what about some sort of cut to the working week, either through a shorter working week or increasing holiday entitlement? Say 5 instead of 4 weeks paid holiday|?
Yes
I’d like to vote for all 4 options in the poll; we need them all. Most don’t stand a chance of being adopted by any govt we have or are likely to have, unless competent and moral people suddenly appear. At the moment we could be better off governed by properly programmed AI. So I’ve stuck to “make AI pay full costs” because it is vaguely possile, though unlikely.
Thanks
Re the poll, all off the options for me….
Is there also an International / off-shoring aspect?
For example if UK companies use French-based AI data centres, then the job impact would primarily be in the UK, the water and energy impact primarily in France. Will countries seek to remedy this (tarriffs!?). Climate change initiatives says we don’t handle these invisible trades/externalities well.
As well as the simultaneous inflation and unemployment pressures it seems nearly all AI use cases are aimed at efficient / staff reduction and not improved insight/knowledge. So more profits with less people working leading to more austerity and inequality. This suggests governments might also need to address these consequences with an AI inequality tax?
Interesting point…
Agreed the potential for mass unemployment is huge.
The tech bros must be made to pay the cost of the environmental and health consequences of AI production.
We the people must not lose sight of the fact that the tech bros are not developing AI for the benefit of us.
AI is for the benefit of them, states and organisations that can afford the software.
So far it’s all about surveillance, control and robots replacing humans.
Police forces around the work are buying facial recognition systems that flag up “suspects”. The software has massive “bias”, resulting in essentially non white members of the public being discriminated against. Think ICE arresting anyone who is not white because they must be an illegal.
Relying on the machine is extremely dangerous.
States must wake up and regulate before it’s too late.
I share your concerns about sneaky surveillance, and for what it’s worth, the government consultation for creating a legal framework for the use of Live Facial Recognition Cameras is open, until 12th February. It wasn’t much publicised – no surprise there.
Link to consultation:
https://www.gov.uk/government/consultations/legal-framework-for-using-facial-recognition-in-law-enforcement
But the Police and supermarkets have committed to and are using it even without a legal framework. Supermarkets for personalised maximum pricing systems with those new electronic price tickets, and Police for, well whatever they use it for.
There’s other risks too, summarised here: https://togetherdeclaration.org/facial-recognition-in-every-town-how-did-we-get-here/
It appears to be a Panopticon they’re making.
Really comprehensive video, thank you.
The two big issues are (in response to your post):
1. The lack of resource accounting for the AI architecture on existing over-stretched and under invested infrastructure. It will essentially be AI becoming a domestic customer for water and power – a huge user, giving AI a competitive advantage for resources over other needs, creating scarcity (and therefore inflation – the only market response).
2. How AI is diverting investment resources from areas of human existence that are actually more urgent and sensible – utility infrastructure, fresh water, disease control, green investment, sustainability measures – you name it – because AI is driven by promised financial returns of capital only.
Thank you.
I haven’t voted because I really would like to see all options pursued but there a potential problems in the electronics world.
There is a problem with silver and its supply for use in many applications, particularly the electronics and medical industries. Below, I have outlined the current situation using Claude AI. The problem is that for every ounce of real silver, there are ~370 paper calls on each of those ounces. This is clearly unsustainable and China is, from 1st Jan controlling exports.
Silver is a mined byproduct: Increasing silver supply requires increasing copper/zinc/lead production proportionally. These markets have independent supply-demand dynamics. Cannot simply “mine more silver” without flooding other metal markets.
AI expansion along with all other industries using silver have potential supply problems – it all depends on China.
I have also sent an email to you with a ~1300 word bullet point briefing covering far more issues. I see this situation as becoming uncontrollable if the problems aren’t tackled.
CURRENT SITUATION (January 2026)
Physical Market Reality:
• Fifth consecutive year of structural deficit (2021-2025): 796 million oz cumulative shortfall
• Supply inelasticity: 75-80% of silver is by-product of copper/lead/zinc mining; production cannot respond to price signals
• Industrial demand accelerating: Solar capacity projected to quadruple by 2030 (IEA), EVs scaling, AI data centers, 5G infrastructure
• Emerging technology threat: Solid-state batteries require 1kg silver per EV vs. current 25-50g (20-40x increase)
Paper Market Breakdown:
• Estimated 378:1 paper claims to physical metal (futures, ETFs, unallocated accounts)
• London market crisis: ~2 billion oz of claims vs. limited deliverable supply; October 10, 2025 trading disruption exposed shortage
• COMEX registered inventories: 50-80 million oz backing 300-500 million oz of claims
• Growing backwardation and physical premiums (5-15% above paper prices) signal stress
China’s Strategic Position:
• Controls 60-70% of global silver refining capacity
• January 1, 2026: New export licensing regime implemented (“dual-use technology” restrictions)
• Effect: Procurement timelines extended from 6 weeks to 6+ months; Western manufacturers reporting 8-12 month backlogs
• Historical precedent: 2010 rare earth restrictions (prices spiked 2,000%+)
Thanks for this. It is a very useful summary, and I think it points to a truth that most commentary on silver avoids, which is that the silver market only works smoothly so long as most people are content to trade paper promises for exchnages of solver rather than require actual delivery of physical metal.
The “structural deficit” point is critical. If the world has been consuming more silver than it produces for five consecutive years, then the difference has to be coming out of above-ground sliver stocks. That might not matter when inventories are plentiful, but once those inventories are run down, the market becomes fragile. The price then stops moving smoothly and starts jumping because availability, and not sentiment, becomes the constraint in that case. That is when the proverbial can hit the fan.
The supply side matters in a similar way. If most silver output is a by-product of copper, lead, and zinc mining then supply cannot respond quickly to rising prices. In other words, the market cannot mine its way out of sliver shortages at speed. That is a classic recipe for physical stress, which could be coming our way.
Industrial demand is also different in kind from investment demand. Solar, electrification, data centres, and advanced electronics are not discretionary users of solve. They need the stuff, and manufacturers will pay a premium to avoid production stoppages, and that is exactly how physical premiums appear even when the quoted paper price looks calm. Market disconnect is possible.
The paper market ratios you cite may not be precisely measurable, but the underlying point stands. The fact is that there are far more claims to silver than there is deliverable silver. That system can persist almlst indefinitely, until confidence shifts and too many players want metal at once. That is now on the horizon, which is why the China point should not be ignored. Refining capacity and export licensing are forms of strategic leverage. If procurement lead times stretch out, as seems possible, then Western firms will hoard inventory, and that behaviour alone can tighten markets further.
So yes: this looks less like an ordinary commodity cycle and more like a strategic materials problem coupled to a derivatives market that looks as thouhgh it could be heading for serious disorder, and defaults with massvely unpredictable consequences.
n my view, AI right now is still just a tool — and like any tool, it’s only ever as good, as wise, and as accountable as the people using it. The danger isn’t the technology itself, it’s the absence of democratic control over how it’s deployed and who benefits from it.
it must always be borne in mind that AI , atm is fallible.
I was going to comment on the narrow focus of business and the lack of consideration for waste produced and potential uses for that waste but in the face of the threats of which AI is just the latest example it seems somewhat to miss the point.
‘Green’ energy, while of course preferable to fossil fuels, is never going scale to the necessary levels to keep feeding the neoliberal beast requiring as it does vast quantities of minerals that are ever harder to extract and beginning to suffer the same problem as oil extraction in that ratio of energy in and out becomes negative but even this is unlikely to stem the drive for supremacy.
While we debate the niceties of the economics, the military uses of AI will predominate as the world order collapses and might will become the sole tool of a dying empire which looks set on unlimited destruction to achieve its desires. The planet will respond and win and the only question is how much of life will be left on the planet to permit our species and others to exist.
If ever there was a time to get out there and push for the politics of care then this is it. There may not be another chance.
Agreed
I don’t like hierarchical systems. Nature is networky, not hierarchical.
That aside, if you look at AIs place in the system, to me anyway, it looks like this:
Trump>BigTech bros>AI>people>animals>nature.
It is the opposite of reality, where if anything nature should be at the top. We’re somewhere down there with chickens.
Our road infrastructure is also crumbling. We also need to invest massively in replacing them, repair and maintenence.
I’d be very much in favour of investment in renewal and repair of our roads. I’m convinced that this would be a hugely popular thing for a government to do. The dire state of them following decades of underinvestment is a source of constant complaint. I’m much less enthusiastic when it comes to building new roads, as these tend only to encourage private vehicle ownership and undermine the case for public transport which can be a far more efficient way of getting around when it’s properly managed.
Completely agree with you!
Might it be that the Prime Minister, the government and the main stream media have presented the matter of AI introduction with insufficient validity?
Have they presented only the benefits and not the costs?
Why might they, apparently, have ignored the profound importance of “double entry” communiction as every change involves costs as well as benefits?
Add to the unemployment examples above, all those whom the insurance/pension giants WON’T employ to answer phones. Aviva who saw profits (£1.07bn) increase 22% last year.
My customer experience today (similar to other times I have rung this company) involved 24 minutes on hold or talking to a recorded menu with hearing problems, then just 30 seconds with a human, who immediately popped me to the back of another queue for a further 30 minutes of music and we are busy apologies.
When I finally got to the right dept, I got put on hold again while the operative discussed me with her colleagues (she forgot to turn off her mic, and she told them she was worried I would kick off if sent to join another phone queue).
By the end of 2.5hrs I finally had my pension annuity quotes, and had almost lost the will to live.
I did ask why, with £1.07bn profits last year, her bosses had invested so little in customer service…
I did try to use their website to prepare for the call, but several key links there were “not working today – have a 404 page instead”.
I wonder how much Aviva have invested in AI last year?
Their profits grew 22% last year.
Needless to say, my policy didn’t quite make it that to those heights.
I never chose Aviva, I was sold to them, I’ve lost count of how many times that little pension got sold over my head. Oh – final insult, the BILL for getting Aviva to give me 4 annuity quotes to sell me their own products, paid for from my pension saved with them, (with or without RPI, sole & joint survivor), was a princely £708 (hidden in the quotes). That’s almost a month’s worth of my current in-payment occupational pension.
Now I’m wondering if Argos sell pitchforks… I hear Ms Reeves ducked out of her “city & Stock market are a great success story” speech, to stand shoulder to shoulder with Starmer, while he tells us about our ally King Donald’s temper-tariffs…
You could get an annuity elsewhere.
I know a man who might help.