Debt to fund 40% of AI capex in 2027, Standard Chartered says

As AI infrastructure increasingly depends on borrowed money, the technology trade now moves more in step with interest-rate expectations. That means hawkish central-bank signals — a US Federal Reserve on a tightening path among them — could hit capital-intensive stocks harder than they did in earlier legs of the rally.

Tech debt issuance is expected to become heftier in credit markets, and investors could ask for wider spreads should delays in bringing capacity online postpone revenue. The immediate test comes with Big Tech earnings next week: solid capital-spending guidance combined with a clearer path to monetisation would calm funding worries, whereas higher outlays with no obvious payoff might worsen the uneven stock-price moves seen so far. Standard Chartered's tilt toward diversification hints at a possible shift into sectors and regions beyond the concentrated US tech leadership.

The AI expansion is being financed more and more through debt, and Standard Chartered is looking for evidence of returns from Big Tech before it takes on additional risk in that part of the market.

In summary:

• Standard Chartered reads Q3 US technology results as evidence of solid compute demand and still-rising capex.
• It retains a positive long-term stance on AI spending while highlighting near-term funding and execution risks, and for now favours holding off on higher-risk tech exposure.
• Debt-financed AI capex is seen climbing from roughly 25% of the total in 2026 to about 40% in 2027, making the sector more rate-sensitive.
• If deployment slips, revenue may be pushed out while financing costs keep running, although broader corporate take-up of AI could produce cash flow and cut the need to borrow.
• Next week's Big Tech results will be scanned for capex guidance, funding and monetisation trends; leadership remains concentrated and share-price responses are mixed.
• Standard Chartered stays invested yet defensive, preferring a mix of sectors and regions.

Results from US tech firms for Q3 indicate strong demand for compute capacity and sustained growth in spending on capital projects, while the rising share of borrowing in AI funding introduces fresh concerns, Standard Chartered says.

Writing in its weekly market review, Standard Chartered says it continues to see AI investment favourably over the long term but cautions on near-term funding and execution risks. It does not want to lift exposure to the riskier portions of tech for the moment. Recent numbers indicate large technology firms are still determined to build out their AI capacity, according to the bank.

The key issue is the financing behind that build-out. Standard Chartered sees debt carrying more of the load as spending on data centres and computer hardware increases. The bank forecasts debt-financed AI capex moving from roughly a quarter of all AI capex in 2026 to about 40% in 2027. A heavier debt burden raises the sector's sensitivity to rates, the lender says, and hold-ups in bringing new capacity on stream could postpone revenue recognition even as borrowing costs keep mounting.

One factor could work the other way. Wider business adoption of AI services should produce extra cash flow, Standard Chartered says, helping firms finance more infrastructure without leaning as heavily on outside debt.

Big Tech's earnings next week therefore become a crucial gauge. Standard Chartered says it will examine the figures for more detail on capex guidance, financing plans and how far AI monetisation has advanced. The bank adds that this reporting cycle brings extra uncertainty, since leadership remains in a narrow cluster of stocks and price reactions have grown less uniform.

Farther out, Standard Chartered thinks share prices will hinge more on companies producing better earnings than on valuations stretching further. It points to durable AI funding, commercial payback from infrastructure spending and profit growth outside tech as the indicators investors should track. The lender reiterates that it is still in the market but positioned defensively, with a preference for diversification across sectors and regions.