U.S. Pursues India as a Supply-Chain Alternative to China
Biden administration turns to New Delhi as it seeks to steer critical technologies away from Beijing
3 min
WASHINGTON—The Biden administration is turning to India for help as the U.S. works to shift critical technology supply chains away from China and other countries that it says use that technology to destabilise global security.
Administration officials hosted meetings this week with a delegation of Indian officials and U.S. industry executives, seeking to facilitate technology development and investment in India as part of a broader U.S. push to cultivate alternatives to China.
Challenges arising from Beijing’s expanding global influence have had “a profound impact on the thinking in Delhi just as they have had on the profound impact on the thinking in other capitals,” White House national security adviser Jake Sullivan told reporters on Tuesday. “There is an element of that that forms a backdrop for the discussions here.”
The meetings come on the heels of an agreement with Japan and the Netherlands to start restricting exports of advanced chip-manufacturing equipment to China, joining efforts by the Biden administration to slow China’s military development by cutting access to advanced technologies.
U.S. officials hope those export restrictions create opportunities in India and elsewhere. While India isn’t among the world’s top producers of semiconductors, New Delhi has sought to assert itself as a greater semiconductor player. India is an appealing partner for industries looking to diversify their supply sources. With a population of 1.4 billion people, the country has a massive source of labor and costs are relatively low.
On Tuesday, the administration hosted a task force organised by the Semiconductor Industry Association, which is working in partnership with the Indian Electronics and Semiconductor Association, to develop a “readiness assessment,” aimed at trying to accelerate cooperation and investments. The meetings were attended by top American executives from a range of industries, including defense giant Lockheed Martin and semiconductor producer Micron, administration officials said.
India’s national security adviser, Ajit Doval, led New Delhi’s delegation this week in meetings with Mr. Sullivan and Commerce Secretary Gina Raimondo and other officials.
The meetings underscore a broader U.S. effort to meet challenges from China through alliances with other countries. The Biden administration has given priority to Washington’s relationship with what is known as the Quad—an alliance between India, Australia, Japan and the U.S. that has focused on countering Beijing.
“President Biden really believes that no successful and enduring effort to address any of the major challenges in the world today…is going to be effective without a close U.S.-India partnership at its heart,” a senior administration official said.
However, a number of challenges in recent months have strained relations between Washington and New Delhi. India has maintained a neutral stance on the war in Ukraine and has continued to purchase discounted oil from Russia, rebuffing the Biden administration’s offer to replace Russian oil with U.S. supplies. Instead, India has increased its imports of Russian crude.
Biden administration officials said they understand the enormous domestic demand facing India and said that India continues to buy oil well below the price cap agreed to by allies late last year.
The key, U.S. officials said, is to offer India alternatives. The administration remains hopeful that it can ween India off purchasing Russian military equipment by offering incentives for it to diversify. Mr. Sullivan said generally, the U.S. is doing that through joint production and development. Top priorities in that effort include joint development of jet engines, artillery systems, armoured infantry, vehicles and maritime security.
General Electric has just submitted a proposal to the U.S. government for a jointly produced jet engine in the defence technology space.
“This is the kind of thing where we’re looking to make fast and ambitious progress,” Mr. Sullivan said.
India has also expressed frustration that two years into the Biden administration, there remains no U.S. ambassador. Earlier this month, the White House submitted to the Senate dozens of presidential selections who failed to win confirmation last year.
India is among a number of countries to also call for an overhaul to the U.S. H-1B visa, a nonimmigrant visa that allows U.S. companies to employ foreign workers in specialty occupations that require theoretical or technical expertise. Advocates have called for reforms to the program, including an increase in the annual cap, as well as for a more simplified process.
The State Department has made some progress on the issue, but employers expect delays in obtaining visas to continue in some places, including India. Visitor visas will likely also remain problematic.
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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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