Jefferies raises India allocation to 14% on AI capex peak concerns
Synopsis
Key Takeaways
Jefferies has raised its recommended allocation to India in its Asia-Pacific ex-Japan relative-return portfolio by 2 percentage points to 14 per cent, while simultaneously cutting exposure to South Korea and Taiwan by 1 percentage point each, amid concerns that the global artificial intelligence capital expenditure cycle may be nearing its peak. The move reinforces India's overweight position relative to its 12 per cent weighting in the MSCI benchmark.
Key Portfolio Shifts
Christopher Wood, Global Head of Equity Strategy at Jefferies, authored the report outlining the revised allocations. South Korea's weighting has been trimmed to 18 per cent, leaving it 1 percentage point underweight, while Taiwan has been cut to 24 per cent, placing it 2.8 percentage points underweight relative to the benchmark.
Both markets are closely tied to memory chips, semiconductor foundries, and semiconductor equipment — sectors now under pressure from a potential deceleration in AI-driven hardware spending. India's overweight, by contrast, has widened to 2 percentage points above benchmark.
A Reversal from Earlier 2026 Positioning
The move marks a notable reversal. Earlier in 2026, when AI hardware stocks rallied sharply, Jefferies had raised the index weights of Korea and Taiwan. That positioning is now being unwound as market caution around funding the next phase of AI investment grows, even as capital-spending plans from major hyperscalers remain elevated.
Consensus estimates cited in the report project nearly $1.04 trillion of capital expenditure by Microsoft, Amazon, Alphabet, and Meta in 2027. Despite this, credit spreads and credit default swap spreads for many of these companies have widened, pointing to what the report describes as signs of stress. Memory stocks have already seen a 40 per cent decline from their late-June peak, and the China AI Semiconductor Top 10 Index has halved from its mid-year high.
Why India is Attractive to Jefferies
India is being repositioned not primarily as a domestic-growth story but as a market with relatively lower direct exposure to a potential slowdown in AI-related capital spending. Wood noted that India is not insulated from a broad emerging-market selloff, but its limited involvement in hyperscaler spending and semiconductor hardware made it comparatively appealing at this stage of the cycle.
This comes amid a broader recalibration in global equity portfolios as institutional investors reassess the durability of the AI capex supercycle that dominated emerging-market positioning through much of 2025 and early 2026.
Nifty 50 Outlook
Separately, another report projects India's benchmark Nifty 50 index to reach 28,000 points by the end of 2027, supported by a strong corporate earnings outlook, lower global oil prices, and the prospect of a slower pace of AI-related capital expenditure globally. If realised, that target would represent a meaningful re-rating of Indian equities from current levels.
With global capital now reassessing AI hardware concentration risk, India's positioning as a relative beneficiary in the emerging-market basket could attract further institutional interest in the months ahead.