AI’s Energy Crisis: The Power Problem Behind the Tech Boom

AI power Surge

Artificial intelligence is facing a problem that cannot be solved by buying more chips: there may not be enough electricity to power the machines.

AI data centres are expanding rapidly. Training and running models requires enormous computing power, while the facilities themselves need electricity for cooling.

IEA

The International Energy Agency estimates data-centre electricity consumption could reportedly more than double, from about 415 terawatt-hours in 2024 to roughly 945 TWh by 2030. That would make data centres one of the fastest-growing sources of electricity demand.

Old Infrastructure is a big problem

The problem is not necessarily a global shortage of energy. It is a shortage of electricity generation and grid infrastructure in the right places, at the right time.

Data centres can require hundreds of megawatts, yet connecting new generation to the grid can take years. Ageing transmission networks, lengthy planning processes, transformer shortages and grid-connection queues are becoming bottlenecks.

So how is the industry going to fix it?

The short-term answer is likely to be a mixture of natural gas, renewable energy, batteries and existing nuclear plants. Gas can be deployed relatively quickly and provides reliable power, although it increases carbon emissions.

Renewables are cheaper and cleaner but need transmission and storage to provide reliable power. The IEA expects gas and coal together to supply more than 40% of the additional electricity required by data centres through 2030.

Further ahead, nuclear power could become important, including small modular reactors, alongside geothermal energy and improved battery storage. AI companies are also exploring dedicated power plants and locating data centres closer to abundant electricity.

No quick fix

But there is no instant solution. New gas generation and grid upgrades can take several years; major transmission projects can take much longer, while new nuclear facilities can take a decade or more.

The AI revolution is therefore becoming an energy race. Chips may determine how intelligent AI becomes, but electricity may determine how quickly it can grow.

And the effect for you and me?

For the general population, the AI energy crunch could eventually mean higher electricity bills, greater pressure on national power grids and tougher competition for available energy.

As technology companies build enormous data centres, they may compete with households and traditional industries for electricity, particularly in areas where grid capacity is already limited.

Governments could be forced to spend billions upgrading power networks and building new generation, with some of those costs potentially passed on to consumers through taxes or energy bills.

There is also a risk that greater reliance on gas-fired generation could slow efforts to cut emissions.

However, the picture is not entirely negative: investment in new renewable energy, nuclear power, batteries and upgraded grids could ultimately create a more reliable and modern electricity system.

The real question is who pays for the huge infrastructure needed to power the AI boom — and who benefits from it?

Water?

Water could become another major pressure point. AI data centres generate enormous amounts of heat and many rely on water-based cooling systems, meaning their expansion can increase demand for local water supplies.

This could become particularly problematic in areas already facing drought or water shortages, where data centres may be competing with households, agriculture and industry for a limited resource.

Supply issues

The issue is not simply the amount of water consumed, but where and when it is consumed. A data centre built in a water-stressed region could place significant additional pressure on local supplies.

New cooling technologies, including closed-loop systems, liquid cooling and air cooling, can reduce consumption, while locating data centres near plentiful water supplies can also help. These closed systems need cooling too and likely will add to power consumption.

Compete

But, just as with electricity, the rapid expansion of AI means infrastructure and resource planning must catch up — otherwise the technology boom could increasingly compete with the basic resources people depend upon.

The Ed Miliband energy paradox: how Britain ended up paying France to take its power

UK energy paradox

If you are anything like me, you’re not wrong to feel that this is insane. On the face of it, Britain has:

  • Among the highest electricity prices in the developed world, especially for industry.
  • Growing periods of negative wholesale prices, where generators pay others to take power.

That combination is not just a glitch; it’s the product of how the UK has chosen to do net zero—through a tangle of subsidies, rigid contracts and a grid that was never upgraded to match the political ambition.

This is the Ed Miliband paradox: a “cheap renewables” story that somehow delivers some of the world’s most expensive power, and then occasionally becomes so oversupplied that we literally pay France and others to take it away.

What is actually happening when prices go negative?

Negative prices are not a metaphor. For several dozen hours already this year, the wholesale price of electricity in Britain has dropped below zero.

Generators effectively pay the system to keep running, and interconnectors export that surplus to countries like France, Holland and Belgium—sometimes with a “chunky payment” attached.

This happens when:

  • Supply massively exceeds demand—typically on windy, sunny, mild days when heating and cooling demand is low.
  • Certain generators cannot or will not switch off—because of technical constraints (nuclear, some gas) or because their subsidy contracts reward them for generating regardless of price.
  • The grid cannot move or store the surplus—limited storage, constrained transmission, and slow grid reinforcement mean power piles up in the wrong place at the wrong time.

In that moment, electricity stops being a valuable commodity and becomes a waste product that must be disposed of. Interconnectors to France and others are the “sewer pipe” for that surplus.

Why the UK is uniquely bad at this

Negative prices are not just a British phenomenon—Germany, Spain, the Netherlands and others have also seen record hours of sub‑zero prices as renewables surge. But the UK has managed to combine:

  • High average prices, especially for industry;
  • Frequent negative prices at the margin;
  • Huge policy costs loaded onto bills rather than general taxation.

That cocktail is the result of several design choices.

1. Subsidy structures that pay to generate, not to be useful

A big chunk of UK renewables is supported by:

In a negative price event, the market is screaming “stop generating”. But if your contract still pays you based on output, you have every incentive to keep going. The cost of paying someone else to take the power can be less than the subsidy you’d lose by switching off.

So the system ends up doing something perverse: it pays generators to keep producing power that nobody wants, and then pays other countries to take it away.

2. A grid built for yesterday, not for a renewables surge

The UK has poured money into generation capacity—offshore wind, solar, interconnectors—but has been slow, bureaucratic and under‑invested on:

  • Transmission upgrades—moving power from windy Scotland and the North Sea to demand centres in England.
  • Storage—batteries, pumped hydro, demand‑side response at scale.
  • Flexible backup—fast‑ramping gas, smart tariffs, and industrial load‑shifting.

When you bolt a 21st‑century renewables fleet onto a 20th‑century grid, you get congestion, curtailment and waste.

The system then has to pay wind farms not to generate in some regions, while importing power elsewhere. Negative prices are just the most visible symptom of that mismatch.

3. Political obsession with “headline capacity” over system design

Net zero politics has been sold as a race to headline numbers:

  • X gigawatts of offshore wind by year Y
  • Z per cent of power from renewables
  • “Clean power by 2030”

What has not been sold—or properly designed—is the system architecture that makes that capacity economically coherent: locational pricing, flexible demand, storage, and a planning regime that can actually deliver grid reinforcement on time.

Ed Miliband’s own Electricity Market Review explicitly rejected zonal pricing in favour of a reformed national price, arguing that a single price is “fairest” and better for investment. That sounds nice politically, but it hides the real cost of congestion and mis‑location.

Instead of prices signalling “don’t build another wind farm here until the grid is upgraded”, the system socialises the pain across everyone’s bills.

Why are we paying France?

Interconnectors are not inherently stupid. In a rational system, they:

  • Smooth out volatility—import when you’re short, export when you’re long.
  • Share capacity—you don’t need to build as much domestic backup if you can lean on neighbours.

The problem is that the UK has created a structure where:

  • We over‑generate at certain times because of rigid contracts and inflexible plant.
  • We lack storage and flexible demand to soak up that surplus domestically.
  • We then use interconnectors as a dumping ground, paying others to take power that our own consumers have already funded through subsidies and levies.

France, with its large nuclear fleet and different cost structure, can happily take that cheap or even “paid‑to-take” power, displacing its own generation and lowering its average costs.

Meanwhile, UK industry is paying power prices around 60 per cent higher than in France on average.

So, we (the UK) socialise the cost of building and subsidising the capacity, then export the benefit at a discount.

How did this policy architecture even get created?

This isn’t one bad decision; it’s a stack of incentives and political choices that line up in the worst possible way.

1. Short‑term politics, long‑term contracts

Governments of all colours wanted:

  • Quick, visible progress on renewables.
  • Private capital to fund it, not the state balance sheet.
  • Minimal upfront tax rises.

The answer was long‑term, legally binding contracts (RO, CfDs, capacity market) that shifted risk onto consumers via bills. Once signed, these contracts are hard to change without spooking investors or triggering compensation claims.

So ministers get the photo‑ops—“world‑leading offshore wind”, “clean power by 2030”—while the structural costs and distortions are baked in for decades.

2. Ideological framing: net zero as a moral crusade, not an engineering project

Net zero has been framed as a moral imperative first, an engineering challenge second. That has consequences:

  • Questioning the design is painted as questioning the goal.
  • Complex system trade‑offs are reduced to slogans about “cheap renewables” and “green jobs”.
  • Uncomfortable truths—like the need for gas backup, storage, and grid reform—are pushed into the technical long grass.

The result is a policy environment where it is easier to announce another offshore wind auction than to confront the messy, expensive business of rewiring the grid and redesigning market signals.

3. Regulatory fragmentation and institutional cowardice

Ofgem, National Grid ESO, the Department for Energy Security and Net Zero, the Treasury—each has a slice of the problem, but no one owns the whole system outcome.

  • Ofgem focuses on consumer protection and network costs, often slowing investment.
  • Treasury resists big upfront public spending on grid and storage, preferring “market‑based” fixes.
  • Ministers chase announcements that look good in manifestos.

No one is politically rewarded for saying: “We need to spend billions on grid reinforcement and storage now, or we’ll be paying France to take our power in five years.” So it doesn’t happen at the necessary scale.

Is this fixable, or are we stuck paying others to take our power?

It is fixable—but not with more of the same.

An honest, grown‑up approach would mean:

  • Rewriting incentives so generators are paid for being useful to the system, not just for raw output. That means tighter rules on when subsidies are paid during negative prices, and contracts that reward flexibility.
  • Accelerating grid and storage investment as national infrastructure, not an afterthought. That likely means more state involvement and faster planning, not just hoping private investors will do it.
  • Introducing stronger locational signals—whether full zonal pricing or something close to it—so that the cost of building in the wrong place is visible, not smeared across everyone’s bills.
  • Using interconnectors intelligently, not as a dumping ground: export surplus when it’s genuinely cheap, but don’t subsidise over‑generation just to keep contracts happy.

So how stupid is this policy?

On a technical level, the engineers keeping the lights on are doing miracles with the system they’ve been given. The stupidity sits higher up:

  • Designing a net zero pathway around rigid subsidies and under‑built infrastructure.
  • Refusing to confront the trade‑offs, then acting surprised when the physics bites back.
  • Allowing a political narrative of “cheap green power” to coexist with some of the highest industrial prices in the world and growing episodes of negative pricing.

The real scandal isn’t just that we pay France to take our power. It’s that British households and firms have already paid once—through levies and high tariffs—to build that surplus, and then pay again when the system has to bribe someone else to use it.

Work that one out…!

UK energy price cap to rise in January 2024 piling more pressure on households

UK energy price cap

The UK energy price cap is expected to rise by 5% in January 2024, which means that a typical household who pays by Direct Debit will face an annual bill of £1,931, up from £1,834 in the previous quarter. 

This increase comes at a “difficult period” for struggling households, as many are already facing higher costs of living due to the pandemic, Brexit, and inflation.

Designed to protect customers

The energy price cap is designed to protect customers from unfair price hikes and ensure that they pay a fair price for their energy. However, it does not limit the total bill, which depends on how much energy is actually used.

Therefore, customers are advised to shop around for better deals and switch to cheaper tariffs if possible. This, however, is easier said than done. 

It is also recommended that struggling customers contact suppliers if they have difficulty paying their bills and seek help from schemes, grants, and benefits.

The UK energy price cap is a limit on the maximum amount that energy suppliers can charge customers on standard or default tariffs for each unit of gas and electricity they use. It is set by Ofgem, the energy regulator, every three months based on the underlying costs of energy and inflation.

See Ofgem analysis here. 

Global electricity energy demanded by BIG tech

Electricity infrastructure

Many large tech companies are planning to create their own energy supply or source power from 100% renewable generators. 

This is mainly because they have high electricity consumption, especially for their data centres, and they want to reduce their carbon footprint and achieve net-zero emissions targets.

BIG tech companies that are generating their own energy or investing in renewable energy projects

Apple

The company claims that it is already powered by 100% renewable energy across its global operations, including its data centres, offices, and retail storesIt also plans to become carbon neutral across its entire supply chain by 2030Apple has invested in various renewable energy projects, such as solar farms in China, wind turbines in Denmark, and biogas fuel cells in the U.S.

Google

The company has been matching its annual electricity consumption with renewable energy purchases since 2017, and aims to run on carbon-free energy 24/7 by 2030Google has also been investing in renewable energy projects, such as offshore wind farms in Europe, solar plants in Chile, and geothermal power in Nevada .

Amazon

The company has committed to reaching net-zero carbon emissions by 2040, and to power its operations with 100% renewable energy by 2025Amazon has also been investing in renewable energy projects, such as solar rooftops in India, wind farms in Ireland, and hydroelectric plants in Sweden. 

Estimated current electricity demand

The global electricity energy demand is the amount of electricity that the world needs in a given day. It can be calculated by multiplying the average global electricity demand in GW by 24 hours. According to the International Energy Agency (IEA), the average global electricity demand in 2020 was about 3 TW or 3 000 GW. This means that the global electricity energy demand in 2020 was about 72000 GWh or 72 TWh per day.

BIG tech companies are generating their own energy or investing in renewable energy projects – how green is it really?

However, this is an average value, and the actual demand may vary depending on the season, time of day, weather, and other factors.

Energy requirement

The global electricity energy demand is expected to increase in the future, as population grows and living standards improve. The IEA projects that the average global electricity demand will reach 3.8 TW or 3 800 GW by 2030 and 5.2 TW or 5 200 GW by 2050 in the Announced Pledges Scenario, which reflects the full implementation of net-zero emissions targets by some countries and regions. This implies that the global electricity energy demand will reach 91 200 GWh or 91.2 TWh per day by 2030 and 124 800 GWh or 124.8 TWh per day by 2050.

Energy sources to change

The sources of electricity generation will also change in the future, as renewable technologies such as solar PV and wind become more dominant and coal use declines. The IEA reports that the main sources of electricity generation in 2020 were coal (34%), natural gas (23%), hydropower (16%), nuclear (10%), wind (8%), solar PV (4%), biofuels and waste (3%), and other renewables (2%). In the Announced Pledges Scenario, renewables in electricity generation rise from 28% in 2021 to about 50% by 2030 and 80% by 2050.

The world counts.

Desert location for energy and power generation

Electricity infrastructure

Will these projects alter the world weather pattern?

According to a study, installing large-scale wind and solar farms in the Sahara desert could increase rainfall and vegetation in the region. The researchers simulated the effects of covering 20% of the Sahara with solar panels and wind turbines and found that it would trigger a feedback loop of more monsoon rain and more plant growth.

This could have benefits for the local environment and the global climate, as well as providing a huge amount of clean energy for the world.

Could it also create a detrimental effect to the ecosystem too?

10.5 GW solar energy

The desert project would produce 10.5 GW of solar power and 3 GW of wind power. However, there are also challenges and uncertainties involved, such as the cost, feasibility, and environmental impacts of such a massive undertaking.

The Sahara is a desert on the African continent. With an area of 9,200,000 square kilometres, it is the largest hot desert in the world and the third-largest desert overall, smaller only than the deserts of Antarctica and the northern Arctic.

Daily global electricity energy demand

The global electricity energy demand is the amount of electricity that the world needs in a given day. It can be calculated by multiplying the average global electricity demand in GW by 24 hours. According to the International Energy Agency (IEA), the average global electricity demand in 2020 was about 3 TW or 3 000 GW. This means that the global electricity energy demand in 2020 was about 72 000 GWh or 72 TWh per day. However, this is an average value, and the actual demand may vary depending on the season, time of day, weather, and other factors.

The global electricity energy demand is expected to increase in the future, as population grows and living standards improve. The IEA projects that the average global electricity demand will reach 3.8 TW or 3 800 GW by 2030 and 5.2 TW or 5 200 GW by 2050 in the Announced Pledges Scenario, which reflects the full implementation of net-zero emissions targets by some countries and regions. This implies that the global electricity energy demand will reach 91 200 GWh or 91.2 TWh per day by 2030 and 124 800 GWh or 124.8 TWh per day by 2050.

Energy sources

The sources of electricity generation will also change in the future, as renewable technologies such as solar PV and wind become more dominant and coal use declines. The IEA reports that the main sources of electricity generation in 2020 were coal (34%), natural gas (23%), hydropower (16%), nuclear (10%), wind (8%), solar PV (4%), biofuels and waste (3%), and other renewables (2%).

The researchers simulated the effects of covering 20% of the Sahara with solar panels and wind turbines and found that it would trigger a feedback loop of more monsoon rain and more plant growth.

In the Announced Pledges Scenario, renewables in electricity generation rise from 28% in 2021 to about 50% by 2030 and 80% by 2050.

Powering the UK from energy created in Morocco