Apple Opens First Retail Store in India as It Looks to Country for Manufacturing

Apple Inc. opened its first retail store in India Tuesday, with Chief Executive Tim Cook celebrating the launch in person, as the company ramps up efforts to diversify its supply chain and boost smartphone sales in the world’s most populous country.

The tech company opened a bricks-and-mortar location in Mumbai, a financial hub in India, and said it is planning to open a second location Thursday in New Delhi, India’s capital.

Mr. Cook said earlier this year that he was focused on India, where Apple has been using financing options and trade-ins to make its products more affordable compared with cheaper alternatives from China.

“India is [a] hugely exciting market for us and is a major focus,” he said on Apple’s earnings call in February.

Fuelling Apple’s push into India is an ambitious project to diversify more of its supply chain away from China. For more than 20 years, Apple’s primary base of manufacturing has been China. But recent turmoil in its China operations has propelled Apple to more aggressively move operations to other countries, such as Vietnam and India, The Wall Street Journal reported.

Outside of China, India is viewed by Apple as the main candidate for producing the iPhone, the company’s most important product that still accounts for roughly half of its sales. India currently accounts for less than 10% of global iPhone production, mostly for selling into the domestic market. Apple’s longer-term goal is to produce 40% to 45% of its iPhones from India, according to Ming-chi Kuo, an analyst at TF International Securities who follows the supply chain.

Apple has encountered problems of building up iPhone manufacturing in India, the Journal previously reported. India doesn’t have the same level top-down governmental coordination that is found in China, which has previously helped clear the way for Apple to build up operations to the scale it needs in the country.

Apple’s main manufacturing partner, Foxconn Technology Group, is also considering a major expansion into India, including expanding iPhone production in an existing plant near Chennai, in the southern Indian state of Tamil Nadu, the Journal reported last month.

Apple has struggled to gain traction in India, where the company previously had mostly been selling its products online or through resellers and retail chains.

India is the world’s second-biggest smartphone market, both in terms of annual shipments and sales, according to market intelligence firm IDC. It accounts for almost 12% of the global market.

The retail stores are among Apple’s first steps to try to increase its sales in India. Apple is projected to have a 5% share of the country’s overall smartphone market this year, up from 1% in 2019, according to Counterpoint Research.

The multi storey Mumbai shop is in a bustling commercial area. Apple said the store will use solar panels and renewable energy. It is expected to be one of the company’s most energy-efficient locations. The company has more than 520 stores worldwide, according to its website.

Mr. Cook tweeted a picture of himself outside the Mumbai store on Tuesday, saying, “The energy, creativity, and passion in Mumbai is incredible!”

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