Energy, Climate and AI Bets Are Powering Europe’s Venture Sector
Russia’s invasion of Ukraine has spurred funding of tech that could boost Europe’s quest for energy security
4 min
Venture capitalists’ appetite for energy and artificial-intelligence investments is putting Europe’s venture sector on a hot streak.
European governments’ focus on energy security amid heightened geopolitical tensions has helped spur a capital rush, investors and analysts say. That coupled with the emergence of Europe-based AI startups, which can be less expensive than their U.S. counterparts, is also drawing investors.
European startups raised $15.5 billion in the second quarter, up 14% from the first quarter and up 12% from the same quarter of last year, according to Europe-based analytics firm Dealroom.co. Meanwhile, the amount invested into North American startups rose 9.6% in the second quarter from the prior quarter while Asia deal value rose 6.4% over the same period.
Energy was the most funded sector in Europe in the first half of the year, netting $5.7 billion, while funding raised by AI startups accounted for a record 18% of venture funding in Europe, up from about 11% in 2021, Dealroom.co said. Before last year, energy startups typically raised less capital than fintech, health and enterprise software startups.
Russia’s invasion of Ukraine spurred European governments—which were historically dependent on Russian fossil fuels—to develop greater energy security. Support has reached startups in the form of grants and other government-backed investment opportunities.
“It has been a major shift,” said Orla Browne , head of insights at Dealroom.co. “The exposure of energy-security issues with the invasion of Ukraine has filtered down to startups.”
Large AI deals have also drawn capital to Europe. In May, Wayve, a U.K.-based developer of autonomous driving software, raised $1 billion from investors including SoftBank Group , chip maker Nvidia and Microsoft . In June, French startup Mistral AI raised $646 million from investors including the venture arm of software giant Salesforce , General Catalyst and Lightspeed Venture Partners.
In Europe, investors say they can scoop up shares of startups for less money compared with the prices that their counterparts in the U.S. command. Meanwhile, Europe’s technical universities are supplying promising entrepreneurs, particularly in the AI field.
“We have hired a world-class team at salaries that cost 30% or less than you would get for a similar team in [Silicon Valley] with the caliber being as good,” said Dominic Vergine , chief executive of Monumo in Cambridge, England, which uses AI to make electric motors more efficient.
Europe’s climate regulations have also helped attract funding for energy startups, for example the European Commission’s Innovation Fund.
Danijel Višević, co-founder of Berlin-based World Fund, said funding from countries like Germany and France as well as from the European Union helped push more capital into climate startups. “Europe has started to reap the rewards of the fruits it sowed with climate tech R&D,” said Višević.
He added that given the long-term effects of climate change, funding in the sector is likely to be stable, both from venture-capital firms and governments, for years to come.
Even so, Europe’s venture sector faces some headwinds. In the second quarter, the continent saw $2.2 billion in exits, a third fewer than in the same quarter a year ago and 93% under the second quarter of 2021, a banner year for exits worldwide, according to a report by professional-services firm KPMG. Exits include initial public offerings and mergers and acquisitions and are the primary way venture investors cash out of their startup investments.
High interest rates, which typically encourage investors to divert capital away from venture to fixed-income strategies, have also hurt the industry. European startups’ second-quarter haul is far below the record $34.6 billion they netted during the same quarter of 2021.
Investors are eager for a turnaround. Last year, Planet First Partners, which has offices in London and Luxembourg, raised a €450 million fund, equivalent to $485 million, in part on the thesis that Europe’s favourable climate regulations are a financial tailwind for energy startups.
In March, the firm invested in Sunfire, a German startup developing hydrogen energy technology aimed at reducing reliance on fossil-based energy from oil, gas and coal. The investment came as part of a €215 million Series E equity funding round and included an additional term loan of up to €100 million from the European Investment Bank.
Sergio Carvalho , a partner and head of sustainability at Planet First Partners, said the firm has invested in Sunfire in part for its potential to help Europe become more energy independent. PFP’s first investment in Sunfire was before the invasion of Ukraine. “Europe has been pushing decarbonisation systematically,” Carvalho said.
Last year, Sunfire received €169 million from a European Union initiative that funds projects that address EU-wide challenges.
In July, Index Ventures, which was founded in Europe and has offices in London, San Francisco and New York, raised $2.3 billion in new funds—an $800 million venture fund and a $1.5 billion growth fund. Hannah Seal , an Index partner in London who focuses on enterprise AI deals, among other sectors, said she expects roughly half of the venture fund to be used to invest in startups that are based in Europe.
“The first half of this year was one of the busiest we’ve ever had,” Seal said about AI dealmaking in Europe. “We’re seeing a general stabilisation in the global economy which is obviously impacting sentiment.”
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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