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Nuclear fusion: why the race to harness the power of the sun just sped up

Tom Wilson Financial Times
Date Posted:
November 29, 2021
Is Database:
Database

Private investment in nuclear fusion has surged, with companies raising $2.3bn, over a fifth of which was secured by Helion in a single month.

Private investment in nuclear fusion has surged, with companies raising $2.3bn, over a fifth of which was secured by Helion in a single month. This influx of capital is driving innovation, with firms like Commonwealth Fusion Systems and First Light Fusion developing more efficient and commercially viable fusion technologies. The sector's growth is fueled by breakthroughs such as sustaining fusion reactions at 120m degrees Celsius and using high-temperature superconductors for stronger magnetic fields. As private industry embraces risk, it accelerates progress towards connecting fusion power to the grid by the 2030s, potentially transforming energy markets and addressing climate challenges.

"...A growing number of private companies, including First Light, are now hoping to commercialise those years of public research by proving fusion power can work and connecting it to the grid as soon as the 2030s....“I couldn’t be more optimistic,” says Silicon Valley venture capitalist Sam Altman, who recently invested $375m in the US fusion start-up Helion. “In addition to being our best path out of the climate crisis, less expensive energy is transformational for society.”...a series of public and private sector breakthroughs in the past six months, some industry participants are far more hopeful. In China in May a machine known as East — the Experimental Advanced Superconducting Tokamak — managed to sustain a fusion reaction at 120m degrees Celsius for a record 101 seconds. Temperatures over 100m C generally required for magnetic confinement fusion had been attained before but never sustained for such a long time. Then in September a Boston-based start-up demonstrated the use of a high-temperature superconductor to generate a much stronger magnetic field than a traditional tokamak. The group, Commonwealth Fusion Systems, which grew out of the Massachusetts Institute of Technology, believes the discovery will enable it to make a more efficient fusion machine that will be smaller, cheaper and more viable as a commercial source of power....The US Department of Energy helped establish MIT’s Plasma Fusion Center — now the Plasma Science and Fusion Center — in 1976 in response to the oil crisis and rising prices. The Joint European Torus, which remains the world’s most advanced tokamak, was opened in Culham, a village south of Oxford, in 1984. Then in 1985 US president Ronald Reagan and Mikhail Gorbachev, his Soviet counterpart, agreed to co-operate on ITER — the International Thermonuclear Experimental Reactor — the world’s largest nuclear fusion project, to ease cold war tensions. Some experts believe ITER is still most likely to produce net energy first, but the project, a collaboration between 35 countries that remains under construction in France almost 40 years later at an estimated cost of more than $20bn, has become a byword for glacial progress.... In total, private fusion companies have raised $2.3bn in investment, according to the industry association. More than a fifth of that funding was raised just this month by Altman’s Helion, which uses yet another approach that it calls pulsed non-ignition fusion.It involves raising the temperature of the fuel to 100m C in a 40-foot-wide, six-foot-high dumbbell-shaped “plasma accelerator” to capture the energy as the reaction expands and pushes back on the system’s magnetic field. Mowry argues that the variety of approaches is one of the emerging sector’s strengths. “Private industry accepts more risk to go faster and cheaper,” he says. “That means that not all shots will go in but the world doesn’t need them all to go in.”..."

In 2050, the world will need 12 times more clean electricity than is produced today, he says, citing the work of climate author Solomon Goldstein-Rose. “Anything at all that we have which adds on top of the existing picture is a great thing,” Hawker says, “and we should be doing it at maximum speed.”

Hawker echoes that view. Existing renewable energy sources, particularly wind and solar power, can be scaled up to replace fossil fuels but will struggle to also meet forecast increases in power demand owing to the electrification of the global energy system and rising energy consumption in developing countries, he says.

Tom Wilson and Ian Bott, "Nuclear fusion: why the race to harness the power of the sun just sped up,"Financial Times, November 24, 2021, https://www.ft.com/content/33942ae7-75ff-4911-ab99-adc32545fe5c

Nuclear fusion: why the race to harness the power of the sun just sped up

A nervous excitement hangs in the air. Half a dozen scientists sit behind computer screens, flicking between panels as they make last-minute checks. “Go and make the gun dangerous,” one of them tells a technician, who slips into an adjacent chamber. A low beep sounds. “Ready,” says the person running the test. The control room falls silent. Then, boom.

Next door, 3kg of gunpowder has compressed 1,500 litres of hydrogen to 10,000 times atmospheric pressure, launching a projectile down the 9-metre barrel of a two-stage light gas gun at a speed of 6.5km per second, about 10 times faster than a bullet from a rifle.

On the monitors the scientists are checking the next stage, when the projectile slams into the target — a small transparent block carefully designed to amplify the force of the collision. The projectile needs to hit its mark perfectly flush. The slightest rotation risks derailing the carefully calibrated physics.

“Thank God,” exclaims one of the technicians, after reviewing a video playback of the impact of the scientific artillery. It was the perfect shot.

Those in the room at First Light Fusion, in a business park outside the English city of Oxford, had just witnessed another hopeful step in a 60-year mission to answer one of science’s most complex problems: how to harness the fusion reaction that powers the sun to generate clean, limitless electricity on Earth.

Nuclear fusion: why the race to harness the power of the sun just sped up: Extended Excerpt Image 1


The potential of fusion energy, first pioneered by the Soviet Union, has tantalised scientists for decades but has always seemed just out of reach.

“Fusion is probably the greatest technical challenge humanity has ever taken on,” says Arthur Turrell, whose book The Star Builders charts the decades-long effort by engineers, physicists and mathematicians to achieve what some still believe is impossible. “How close it is depends not on time, but on the will, the investment and the commitment of resources to actually get there.”

A growing number of private companies, including First Light, are now hoping to commercialise those years of public research by proving fusion power can work and connecting it to the grid as soon as the 2030s.

Unlike nuclear fission when atoms are split, fusion does not produce significant radioactive waste and could never result in a nuclear accident, such as Chernobyl. The most efficient chemical inputs for fusion — deuterium and tritium — are also widely available.

Just one glass of the fuel created by the process has the energy potential of 1m gallons of oil and could generate, depending on the fusion approach, as much as 9m kilowatt hours of electricity, enough to power a home for more than 800 years, scientists estimate.

Those characteristics, its proponents say, mean fusion, by providing cheap, unlimited zero emissions electricity, could genuinely save the world.

“I couldn’t be more optimistic,” says Silicon Valley venture capitalist Sam Altman, who recently invested $375m in the US fusion start-up Helion. “In addition to being our best path out of the climate crisis, less expensive energy is transformational for society.”

Nuclear fusion: why the race to harness the power of the sun just sped up: Extended Excerpt Image 2


A Soviet-era idea, taken private

Soviet physicists developed the first fusion machine in the 1950s using an approach known as magnetic confinement fusion. The tokamak — short in Russian for toroidal chamber with magnetic coils — enabled a plasma of deuterium and tritium, both hydrogen isotopes, to be held in place by powerful magnets and heated to temperatures hotter than the sun so that the atomic nuclei fuse, creating helium and releasing energy in the process.

The problem is that while scientists have become adept at fusing the two isotopes, the Soviet tokamak, and all other fusion systems developed since, require a vast amount of power. And in more than half a century of trying, no group has been able to generate more energy from a fusion reaction than the system consumes.

“When will we get electricity from fusion? Who the hell knows?” says Steven Krivit, a science writer who for 20 years has been a critical observer of fusion energy’s false starts. “Until we see somebody delivering electricity cost effectively we’re still doing science, we’re not doing technology.”

But after a series of public and private sector breakthroughs in the past six months, some industry participants are far more hopeful. In China in May a machine known as East — the Experimental Advanced Superconducting Tokamak — managed to sustain a fusion reaction at 120m degrees Celsius for a record 101 seconds. Temperatures over 100m C generally required for magnetic confinement fusion had been attained before but never sustained for such a long time.

Then in September a Boston-based start-up demonstrated the use of a high-temperature superconductor to generate a much stronger magnetic field than a traditional tokamak. The group, Commonwealth Fusion Systems, which grew out of the Massachusetts Institute of Technology, believes the discovery will enable it to make a more efficient fusion machine that will be smaller, cheaper and more viable as a commercial source of power.

Bob Mumgaard, CFS chief executive, compares the breakthrough with the evolution of computing. “Computers, back when they had vacuum tubes, took up whole rooms. Then when they had transistors you could make the computers smaller and, all of a sudden, people that weren’t doing computers could do computers,” he says.

“Fusion has so many really desirable attributes, if you think about what is required for the entire world to live in the way people deserve to live and to also have a liveable planet,” he says. The next step towards power production is the construction of a demonstration plant called Sparc, about half the size of a tennis court, which CFS hopes will achieve net energy by 2025 and then a commercial power station in the 2030s.

“We’re using known science, with new engineering and new materials,” says Francesca Ferrazza, a physicist at the Italian oil major Eni, which has collaborated with MIT since 2008 and is the largest outside investor in CFS. “The ambition would be to be a player in the field with a substantial presence in various parts of the value chain,” she says.

“Fusion is coming, faster than you expect,” says Andrew Holland, chief executive of the newly formed Fusion Industry Association, which counts the number of private businesses in the sector worldwide at 35 and growing.

Nuclear fusion: why the race to harness the power of the sun just sped up: Extended Excerpt Image 3


A patient wait

Private participation in the sector is relatively new. In the second half of the 20th century fusion research was advanced by international public consortiums and the biggest projects in the world remain government-funded.

The US Department of Energy helped establish MIT’s Plasma Fusion Center — now the Plasma Science and Fusion Center — in 1976 in response to the oil crisis and rising prices. The Joint European Torus, which remains the world’s most advanced tokamak, was opened in Culham, a village south of Oxford, in 1984. Then in 1985 US president Ronald Reagan and Mikhail Gorbachev, his Soviet counterpart, agreed to co-operate on ITER — the International Thermonuclear Experimental Reactor — the world’s largest nuclear fusion project, to ease cold war tensions.

Some experts believe ITER is still most likely to produce net energy first, but the project, a collaboration between 35 countries that remains under construction in France almost 40 years later at an estimated cost of more than $20bn, has become a byword for glacial progress.

“None of the private fusion companies would be here today without the science that was developed in the ITER programme,” says Christofer Mowry, chief executive of Canada’s General Fusion. “But the cost and timeline for ITER should not be used as a point of reference for what it takes to develop and commercialise fusion energy.”

Mowry, who joined the Jeff Bezos-backed company in 2017, is certain it will be the private sector that makes fusion power a reality. He compares it to the role Elon Musk’s SpaceX has played in advancing the prospects of commercial access to space.

“SpaceX did not invent the science of rocketry. It took 50 years of research, sprinkled a little bit of these modern technologies and made a better, faster, cheaper Apollo,” he says, referring to the US space agency programme.

General Fusion’s approach, which it calls magnetised target fusion, is unusual in that it has been designed with a commercially viable power plant in mind, Mowry says. It uses an array of steam-powered pistons to rapidly compress the plasma to fusion conditions and a wall of liquid metal to absorb the heat from the reaction, which is then used to produce steam to drive a turbine generator. Construction on its first demonstration plant is scheduled to start next year, also at Culham, and be completed in 2025.

Nuclear fusion: why the race to harness the power of the sun just sped up: Extended Excerpt Image 4


In total, private fusion companies have raised $2.3bn in investment, according to the industry association. More than a fifth of that funding was raised just this month by Altman’s Helion, which uses yet another approach that it calls pulsed non-ignition fusion. It involves raising the temperature of the fuel to 100m C in a 40-foot-wide, six-foot-high dumbbell-shaped “plasma accelerator” to capture the energy as the reaction expands and pushes back on the system’s magnetic field.

Mowry argues that the variety of approaches is one of the emerging sector’s strengths. “Private industry accepts more risk to go faster and cheaper,” he says. “That means that not all shots will go in but the world doesn’t need them all to go in.”

A tainted sector

At First Light in Oxford, the scientists’ hopes are pinned not on the gas gun — which is used to test the science but will not be part of the future power system — but on the target used to house the deuterium-tritium fuel and amplify the impact of the projectile.

First Light’s hypothesis, based on the theory of inertial confinement fusion, is that by firing a projectile at the target at speeds in excess of 20km a second — enough to travel from London to New York in 4 minutes — they can create enough energy to force the deuterium and tritium to fuse, vaporising the target, while generating the energy equivalent of burning 10 barrels of oil.

Founded by 36-year-old chief executive Nicholas Hawker and his former physics professor Yiannis Ventikos, First Light is cagey about the target’s composition and design, which the company keeps closely guarded. The replica at their headquarters — a clear cube, a little over a centimetre wide, enclosing two spherical capsules — looks like a prop from a superhero movie.

Nuclear fusion: why the race to harness the power of the sun just sped up: Extended Excerpt Image 5


“It is the ultimate espresso capsule,” says Hawker, explaining that First Light hopes to manufacture and sell the targets to future power plants — built to its design — which would need to vaporise one every 30 seconds to generate continual power. He was drawn, he says, to “working beyond the edge of human knowledge”.

It is exactly this complexity, however, that makes claims difficult to verify and has tainted the sector.

In 1951, at the height of the cold war, Juan Perón, Argentina’s president, convinced the world his scientists had harnessed fusion power, generating global newspaper headlines. Fusion fuel would soon be available, like milk, he said, in half-litre bottles. Almost four decades later in 1989, two chemists at the University of Utah said they had been able to fuse nuclei at room temperature in a simple electrochemical cell on a lab bench, a claim that unravelled in weeks.

Such incidents continue to weigh on the industry. Krivit, the science writer, argues that until a group shows it can generate electricity from a fusion reaction, prospective investors should treat private companies’ claims with scepticism.

Yet progress is undoubtedly being made, including at the US government’s National Ignition Facility, where in August scientists used 192 lasers to generate a fusion reaction that appears to have come the closest yet to achieving net energy.

“It was the biggest breakthrough in fusion for literally decades,” says Turrell, adding that getting fusion energy on to the grid in 2030 is a “great ambition”.

“But if they get there in 2040 instead that is still going to be a huge win for the world,” he adds. “And even if they get there after 2050 and the world has reached net zero that will still be a massive win for humanity because we need a portfolio of energy sources.”

At that stage, Turrell says, fusion could be used to power energy-intensive carbon capture systems enabling the world to begin to reverse, rather than slow, some of the environmental damage brought by climate change.

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Showing 484 database articles primarily about either Productivity, Cronyism, Incentives/Risk-Taking, Innovation/Research, Institutional Capabilities, Intangibles, Investment, Startups, or Workforce Reorganization

The College Wage Premium in the Generative AI Era

AI Summary. S. 575 between 2022 and 2026, the first sustained decline in relative demand for college-educated labor in four decades. AI exposure in white-collar occupations accounts for roughly 28% of that drop, as wage growth slowed disproportionately in high-AI-exposure jobs where college graduates are concentrated.

José Azar, Mireia Gine and Javier Sanz-Espín Social Science Research Network
Date Posted:
September 4, 2026
Is Database:
Database

The college wage premium flattened in the mid-2010s and has fallen ~8% since 2022. The authors argue that this compression reflects a broad decline in the returns to formal schooling, rather than a decline in the upper tail.

Is the college degree losing its economic value to artificial intelligence?

Core argument: The U.S. college wage premium fell from 0.626 to 0.575 between 2022 and 2026—the first sustained decline in relative demand for college labor after four decades of uninterrupted expansion.

After expanding for four decades, the U.S. college wage premium [dropped] sharply from 0.626 in 2022 to 0.575 in 2026. Current Population Survey data through 2026 implies an unprecedented drop in relative demand for college labor—the first sustained negative relative demand growth. Post-2022 wage growth slowed disproportionately in high-exposure occupations, which employ a disproportionate share of college graduates. By 2026, going from zero occupational AI exposure to full exposure had a negative effect on wages of−0.086. Combined with the college–non-college exposure gap, this mechanism accounts for roughly 28% of the total drop in the college wage premium from 2022 to 2026. While non-causal, these patterns indicate that task displacement in AI-exposed white-collar occupations plays a quantitatively meaningful role in the recent compression of the aggregate skill premium.

Takeaways by Macro Roundup® AI

  1. The U.S. college wage premium fell from 0.626 to 0.575 between 2022 and 2026—the first sustained decline in relative demand for college labor after four decades of uninterrupted expansion.
  2. Moving from zero to full occupational AI exposure reduced wages by 0.086 log points by 2026.
  3. the college–non-college AI-exposure gap accounts for roughly 28% of the total premium compression over that period.

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Gross and Net US Investment

AI Summary. Net investment has fallen from ~40% of gross investment in the 1970s to ~25% today, meaning three-quarters of gross investment merely replaces depreciating assets. The shift toward faster-depreciating information technology assets requires larger gross investment increases to achieve any given gain in productive capital per worker.

Timothy Taylor Conversable Economist
Date Posted:
September 4, 2026
Is Database:
Database

U.S. real net private domestic investment—which adds to the American capital stock—is now only ~25% as large as gross investment, down from ~40% in the 1970s. Taylor suggests the widening gap between gross and net investment reflects the relatively rapid depreciation of IT-related capital.

Does faster asset depreciation explain slowing productivity growth?

Core argument: Net investment has fallen from ~40% of gross investment in the 1970s to ~25% today, meaning three-quarters of gross investment now merely replaces depreciating capital rather than expanding the productive stock.

The figure divides net investment by gross investment. Back in the 1970s, net investment was often around 40% of gross investment, but the share has been slumping over time. For the last decade or so, net investment has been about 25% of the gross–that is, about three-quarters of gross investment is just making up for depreciation of the pre-existing capital stock. The likely reason for the growing gap between gross and net investment is that modern investment is more likely to be related to information technology [which] depreciates more rapidly and thus needs to be replaced and updated more often. If we want the average US worker to be using a greater amount of capital on the job–which was one of the key drivers of rising labor productivity in the past–it now takes a bigger rise in gross investment to lead to a given rise in net investment.

Takeaways by Macro Roundup® AI

  1. Net investment has fallen from ~40% of gross investment in the 1970s to ~25% today, meaning three-quarters of gross investment now merely replaces depreciating capital rather than expanding the productive stock.
  2. The shift toward information technology — which depreciates faster than physical machinery — is the primary driver of the widening gap between gross and net investment.
  3. Raising capital per worker, a historic engine of labor productivity growth, now requires a substantially larger increase in gross investment than it did several decades ago.

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The AI Re-Acceleration That Wasn’t

AI Summary. 615). Claims of re-acceleration result from cherry-picking frontier observations, selecting a breakpoint, ignoring variance collapse, and fitting separate lines on either side.

Paul Kedrosky Applied Complexity
Date Posted:
September 3, 2026
Is Database:
Database

Kedrosky argues AI capabilities continue to improve, but “the full composite data shows flattening relative gains, not acceleration…rolling relative model gains have fallen from their 2024 peak, while model dispersion has narrowed sharply.”

Are AI performance gains accelerating or just appearing to through selective measurement?

Core argument: Epoch’s Capabilities Index shows no statistically significant AI performance acceleration when controlling for developer and model family, with a breakpoint test returning p = 0.615 and a slope-change confidence interval of -8.4 to +23.4 pts per year.

Using all Epoch’s Capabilities Index observations, and controlling for developer and model family, there is no statistically significant breakpoint. A piecewise model—which splits the series into intervals and applies a sub-function to each segment—does not improve on a purely linear trend: p = 0.615, The estimated change in slope has a confidence interval of -8.4 to +23.4 points per year. In short, the maths shows there is no model acceleration, contrary to claims, and as expected. The result comes from selecting frontier observations only, choosing a breakpoint, ignoring variance collapse, and fitting separate lines on either side.

Takeaways by Macro Roundup® AI

  1. Epoch’s Capabilities Index shows no statistically significant AI performance acceleration when controlling for developer and model family, with a breakpoint test returning p = 0.615 and a slope-change confidence interval of -8.4 to +23.4 pts per year.
  2. Claims of AI re-acceleration rest on a methodological artifact: selecting only frontier model observations, pre-choosing a breakpoint, ignoring variance collapse, and fitting separate trend lines on each side of that breakpoint.

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Understanding AI and Productivity

AI Summary. U.S. productivity growth has accelerated to ~2.2% annually since mid-2022, above the 2010s baseline, though pandemic-era labor market and business formation dynamics likely contributed alongside AI. Historical general-purpose technology booms sustained labor productivity growth above 2.5% for a decade or more, making the current acceleration substantial but not unprecedented.

Chad Syverson Economic Innovation Group
Date Posted:
August 28, 2026
Is Database:
Database

Syverson is skeptical that AI initiated the rise in productivity growth that began in 2023. The acceleration began while AI investment was small, and pandemic-era labor market churn and business dynamism match the acceleration’s start.

Is AI-driven productivity growth sustainable at historical technology boom levels?

Core argument: U.S. labor productivity has grown at roughly 2.2% annually since mid-2022, a pace exceeding the 2010s trend and, if sustained, implying GDP per capita roughly 7% higher within a decade than the prior trajectory.

Productivity from mid-2022 on has maintained a faster-than-2010s trajectory involving annual growth of about 2.2%. Could this acceleration be due to AI? Perhaps. The timing leans against AI being the sole initial cause. Additionally, there were well-documented increases in economic dynamism (labor market churn and business formation) during the pandemic emergence whose timing matches the acceleration’s start. Regardless of AI’s current effect, the longer the aggregate productivity acceleration continues, the more plausible it is that AI is an important driver. As for the magnitude, a sustained increase from 1.5 to 2.2% annual productivity growth would be substantial (after a decade, GDP per capita would be 7% higher than otherwise), but hardly unprecedented. The 1995–2004 productivity boom saw annual productivity growth of nearly 3% per year, and other past general-purpose-technology-related productivity boosts saw labor productivity growth in excess of 2.5% for a decade or longer.

Takeaways by Macro Roundup® AI

  1. U.S. labor productivity has grown at roughly 2.2% annually since mid-2022, a pace exceeding the 2010s trend and, if sustained, implying GDP per capita roughly 7% higher within a decade than the prior trajectory.
  2. The 1995–2004 productivity boom averaged nearly 3.0% annual growth, establishing that a durable AI-driven acceleration to 2.2% would be meaningful but well within historical precedent for general-purpose-technology cycles.
  3. Pandemic-era surges in labor market churn and business formation align more precisely with the productivity acceleration’s start date than AI adoption does, complicating AI-as-sole-cause narratives.

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US Widens AI-Driven Investment Gap With Europe

AI Summary. US corporate investment in equipment and facilities is projected to grow 40% in real terms by the end of next year, versus 12% in the euro area, widening a productivity gap where output per hour worked rose $14 in the US compared with $2 in Europe since 2018.

Sam Fleming, Amy Borrett and Olaf Storbeck Financial Times
Date Posted:
August 24, 2026
Is Database:
Database

Oxford Economics projects US real business investment will rise 40% over 2021–2027, ~3x the euro area’s 12%. US investment growth since 2024 has been largely information processing and software, but high US growth in GDP/hour is not “merely digital.”

Is artificial intelligence investment widening the transatlantic productivity divide?

Core argument: U.S. corporate investment in equipment and facilities is projected to rise 40% in real terms between 2021 and end-2026, versus 12% in the euro area and near-zero growth in Germany, sharply widening the transatlantic capital-spending gap.

Corporate spending on new equipment and facilities in the US is projected to increase 40% in real terms between 2021 and the end of next year, according to forecasts from Oxford Economics. The US surge compared with a real-terms increase of just 12% in the euro area, while German business investment is expected to have all but stagnated over the same period. Europe also faces a large and growing productivity gap with the US. “The United States has recently pulled further ahead of Europe,” Bart van Ark, a professor at the University of Manchester, told policymakers at the ECB Forum in Sintra. GDP per hour worked increased $14 in the US between 2018 and 2025, compared with just $2 in Europe. “The gap is not only a digital sector story,” added van Ark, stressing that the US outperformance extended to other sectors, including wholesale and retail as well as professional services.

Takeaways by Macro Roundup® AI

  1. U.S. corporate investment in equipment and facilities is projected to rise 40% in real terms between 2021 and end-2026, versus 12% in the euro area and near-zero growth in Germany, sharply widening the transatlantic capital-spending gap.
  2. U.S. labor productivity rose $14 per hour worked between 2018 and 2025, versus $2 in Europe, with outperformance spanning wholesale, retail, and professional services—not solely the digital sector.

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  • The Future of European Competitiveness – A Competitiveness Strategy for Europe — An EC study of European competitiveness finds that EU gross value-added per hour worked increased by 0.7%/year from 2000-19, vs. 1.2%/year in the US. “Europe…
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Why Big Tech’s AI Spending Is $3 Trillion Higher Than It Seems

AI Summary. Nine major technology companies carry ~$3tn in off-balance-sheet AI commitments — 5x their ~$600bn in reported capital spending — obligations that are growing faster than traditional investment and triple their combined lease and debt liabilities.

Peter Rudegeair and Peter Santilli Wall Street Journal
Date Posted:
August 17, 2026
Is Database:
Database

A WSJ analysis finds 9 firms involved in the data center buildout have ~$3T in off-balance-sheet commitments largely tied to AI infrastructure. The growth in such obligations has outpaced the firms’ capex growth over the last year.

Are technology companies hiding the true cost of artificial intelligence?

Nine top tech companies had some $3 trillion of off-balance-sheet commitments mostly related to AI, according to a Wall Street Journal analysis of footnotes in their most recent securities filings. Those obligations are growing faster than traditional “capex,” which totaled about $600 billion over the past year they reported, and were about triple what the companies owe under their outstanding leases and long-term borrowings.

Related Articles:

  • The Hyperscalers’ Exploding ‘Purchase Commitments’ Reach $1.5tn — Major technology companies have accumulated $1.5tn in lease commitments and $982bn in purchase obligations for chips, computing power, and energy, totaling roughly $2.5tn in future spending. Much of this debt does not appear on standard financial statements, understating true leverage and future cash demands.
  • The Market Is Asking Questions — AI infrastructure debt spreads are widening as markets question whether returns on massive, front-loaded capital spending will outpace financing costs before assets depreciate. If compute demand plateaus from efficiency gains or slow adoption, the industry faces a glut of expensive, rapidly depreciating capacity.
  • Big Tech Credit Risks Rise Sharply As AI Spending Soars — The cost of insuring major technology companies' debt against default has reached record highs, driven by surging AI infrastructure spending that is straining balance sheets and pushing credit ratings toward junk status.
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