The Clean Energy Transition Is Creating Opportunities to Invest in Infrastructure

A year after the Inflation Reduction Act (IRA) was signed into law it’s a good reminder that there’s opportunity in infrastructure investments in the U.S., particularly green technology or those that profit from the transition from fossil fuels to renewable-energy sources.

“This is a really good time to be investing in the sector,” says Michael McGown, head of North American infrastructure private markets at Mercer Alternatives. “There is a real need to transition away from carbon, and the fact that the U.S. government has gotten behind this makes it a win.”

Yes, there is some political pushback against the law—and there are still those who want to rely on fossil fuels and other traditional forms of energy production. But many experts point to the IRA’s transformative potential, and its impact on energy-transition spending in particular, as a good opportunity for savvy investors.

“I don’t think in my career I’ve ever seen a law have a greater impact on economic development in this country,” Gregory Wetstone, chief executive officer of the American Council on Renewable Energy, a clean energy lobbying group, said in July.

Wall Street agrees. Calling themselves “positive” on greentech opportunities, analysts at UBS wrote in July that they forecast US$40 trillion to US$50 trillion of global energy-transition investments in the years 2021–30, in support of net-zero efforts.

“We also expect to see technological developments and a broad-based move to global electrified vehicles (i.e., battery-electric vehicles and plug-in hybrid electric vehicles),” the UBS team wrote in a note. “Such sales may account for a 30% share of the global market by 2025 and a 60%–70% share by 2030, in our view.”

Within the category of energy transition, there are some infrastructure themes that may appeal more than others, either because of their promise of innovation or potential monetary returns.

Mercer’s McGowan points to investments in carbon reduction and abatement, those dedicated to decommissioning old power plants to replace them with renewable or hybrid technologies, and investing in ammonia, which is often used to transport clean hydrogen.

More cutting-edge technologies are likely to offer investors better total returns, says Steven Novakovic, director of curriculum for the Chartered Alternative Investment Analyst Association. In contrast, the more mature, stable, user-fee oriented investments are less return-oriented, but better bets for income investors.

“Generating, moving, or storing energy tends to be income-oriented,” Novakovic says.

Importantly, even though energy infrastructure may be capital-intensive, higher and rising interest rates aren’t likely to be a negative for the sector.

“High barriers to entry and the monopolistic positioning of many infrastructure assets tend to make them less sensitive to the economic cycle,” the UBS analysts said. “In addition, they can help stabilise income generation in a multi-asset class portfolio, particularly when accounting for long-term inflation. Since 2003, infrastructure has typically performed best when global inflation has been high (based on Cambridge Associates Infrastructure Index data).”

With interest rates higher across the board, some investors may simply choose to stick with safer fixed-income assets, Novakovic says. But, he says, “Ultimately infrastructure still has a diversifying effect for portfolios.”

Where to Invest

What are the best ways for investors to access the sector? Qualified investors, or those with at least a few million to spend, can put money directly into private-market plays, such as private-equity funds or even venture-capital funds, which are likely to pay the most in total returns.

There are, of course, typical concerns with private-market strategies, the UBS team said: “illiquidity, longer lockup periods, leverage, concentration risks, and limited control and transparency of underlying holdings. While risks can’t be fully eliminated, it is possible to mitigate them through strong due diligence and strict manager selection.”

They add a shout-out for global industrial stocks, writing that the “sector’s composition has become increasingly diversified and no longer behaves like a traditional cyclical play, in our view.”

In a July note to clients, J.P. Morgan Private Bank analysts wrote about the opportunities in the semiconductor industry driven by the IRA in addition to last year’s CHIPS and Science Act. Semiconductors, for instance, can be used in the process of decarbonisation, particularly for powering “smart” electric grids and other forms of infrastructure

“The semiconductor industry is poised for growth as chips penetrate the clean energy value chain: in photovoltaic solar cells, wind turbines, EVs, batteries, charging stations, and power grids,” the note said.

CHIPS alone allocates more than US$50 billion to subsidise domestic manufacturing of advanced semiconductors. “These government incentives, combined with the wide variety of uses for semiconductors, have pushed companies to ramp up supply,” J.P. Morgan said.

For investors who want to access a basket of energy-transition stocks, several exchange-traded funds may fit the bill. The Global X Lithium & Battery Tech ETF (ticker: LIT) “invests in the full lithium cycle, from mining and refining the metal, through battery production,” according to fund documents, while the Sprott Energy Transition Materials ETF (SETM) says it, “provides pure-play access to a range of critical minerals necessary for the global clean-energy transition.”

And for those who prefer bonds, or just want a more tax-efficient strategy, many municipalities are also issuing debt to fund cleaner energy. In June, the California Community Choice Financing Authority sold nearly US$1 billion in bonds to finance the acquisition of clean energy—including geothermal and solar-plus-storage—by the Clean Power Alliance of Southern California. The projects could affect as many as 3 million residents.

A 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