Intel and Broadcom CEOs warn capital crunch could become AI's biggest bottleneck

Financing and the rising cost of capital, not chip shortages or power, may be the next constraint on AI infrastructure, executives say

By LineZotpaper

Published12 October 2026

Read Time3 min

The chief executives of Intel and Broadcom have warned that access to capital could emerge as the biggest constraint on the artificial intelligence boom, even as demand for computing infrastructure continues to outstrip supply. Speaking at the DBS Asia Future Forward Conference in Singapore, they said financing and questions over returns, not shortages of silicon or electricity, now pose the greater risk to the industry's expansion.

The chief executives of Intel and Broadcom have warned that access to capital could become the biggest constraint on the artificial intelligence boom, even as demand for computing infrastructure continues to outstrip supply.

Speaking at the DBS Asia Future Forward Conference in Singapore, Broadcom CEO Hock Tan said financing could become a bigger obstacle to AI expansion than shortages of semiconductors, memory chips or electricity.

“What I think might be the biggest constraint is capital,” Hock Tan said.

Intel CEO Lip-Bu Tan echoed those concerns, pointing to the rising cost of capital and questions over whether companies investing heavily in AI will eventually generate sufficient returns.

“If there's any challenge in the front, it's capital and the cost of capital, and then the other part is in the longer run, people want to see the ROI,” he said.

Their remarks highlight an emerging challenge for an industry that has poured enormous sums into data centers, advanced chips and power infrastructure in anticipation of surging demand. Rising borrowing costs and higher bond yields could make it more expensive to fund data center construction and chip purchases, potentially pressuring the economics of projects that may take years to generate returns.

Despite the financing concerns, both executives remained bullish on near-term demand. Hock Tan said there is more demand for compute infrastructure than the industry can supply, and the imbalance could persist through 2029 and potentially into 2030.

Intel's Tan said the company did not expect a significant slowdown over the next two to three years, citing growing adoption of AI applications. But sustaining that growth beyond the next few years would depend on how quickly businesses adopt AI and whether the technology delivers meaningful economic benefits.

Broadcom's Tan cautioned that demand could slow if adoption of advanced AI models disappoints or improvements in their capabilities begin to plateau. He also said supply bottlenecks that have recurred over the past two years should gradually ease, with wafer shortages potentially easing by 2028 or 2029 and power availability improving as new infrastructure comes online.

Analysis

Why This Matters

A slowdown in AI infrastructure investment would affect the cost and availability of AI computing for businesses and consumers worldwide.
Higher borrowing costs could undermine the economics of data center and chip projects that take years to pay off, putting pressure on the companies financing the buildout.
The warnings signal a shift in tone from building at any cost toward scrutiny of whether AI investments will actually deliver returns.

Background

The AI boom has been underpinned by enormous up-front spending on data centers, advanced chips and power infrastructure, much of it financed through debt. That makes interest rates directly relevant to the industry's trajectory. Over the past two years, the sector has repeatedly hit supply bottlenecks in memory chips, wafers and electricity, and each time has worked around them. The two executives now argue that the next constraint may not be physical supply at all, but the availability and cost of the capital needed to keep building.

Key Perspectives

[Broadcom CEO Hock Tan]: Capital is the biggest constraint facing AI expansion. Memory shortages and other bottlenecks will ease over time, but demand for compute infrastructure will keep exceeding supply through 2029 and potentially into 2030. [Intel CEO Lip-Bu Tan]: The cost of capital and the need for demonstrable returns are the front-line challenges. Near-term demand should hold for two to three years, but companies will increasingly need to show tangible benefits from AI through improved efficiency and new business models. [Critics and skeptics]: If business adoption of advanced AI disappoints or model capability improvements plateau, the demand that justifies massive infrastructure spending could slow, leaving debt-funded projects struggling to generate returns. Rising bond yields could accelerate that reckoning.

What to Watch

Whether the supply-demand imbalance in compute infrastructure persists through 2029 as Hock Tan predicts, or narrows sooner.
Movements in bond yields and their effect on the cost of financing data center construction and chip purchases.
Early signs on whether business AI adoption is translating into measurable returns on investment and improved efficiency.

Sources

Intel, Broadcom CEOs warn capital crunch could become AI's biggest bottleneck — Tech