AI stocks earnings growth to crash from 100% in 2026 to 22% by 2028: Jefferies

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AI stocks earnings growth to crash from 100% in 2026 to 22% by 2028: Jefferies

Synopsis

Jefferies is sounding the alarm on AI stocks: consensus earnings growth is set to collapse from nearly 100% in 2026 to just 22% by 2028, while AI shares already trade at double the valuation multiple of non-AI peers. The bank says it is time to diversify — and the rotation out of AI in emerging markets has already begun, with knock-on effects for Indian equity inflows.

Key Takeaways

Consensus earnings growth for AI stocks in the MSCI AC World Index is forecast to drop from nearly 100% in 2026 to 30% in 2027 and 22% in 2028 , per Jefferies .
Global AI stocks trade at 23 times forward P/E — nearly double the 13 times multiple for non-AI stocks.
AI-linked stocks in emerging markets gained 81% in the year through June 2026 but have since slowed as investors rotated out.
TSMC , Samsung Electronics , and SK Hynix together make up 28.5% of the MSCI Emerging Markets benchmark.
Jefferies shifted its South Korea position from underweight to neutral after the market's underperformance.
AI earnings concentration in Taiwan and South Korea reportedly diverted emerging market funds from Indian stocks , affecting foreign inflows.

Consensus earnings growth for AI-related stocks in the MSCI AC World Index is forecast to plunge from nearly 100 per cent in 2026 to 30 per cent in 2027 and approximately 22 per cent in 2028, according to a new report by investment bank Jefferies, released as chipmakers suffered sharp losses this week amid a global equity selloff.

The findings arrive at a moment when investor confidence in the AI trade is visibly fraying, with mounting debt concerns and valuation scepticism driving a broad rotation out of AI-linked names across global markets.

Jefferies Calls for Diversification Beyond AI

'It has become time to diversify beyond AI,' the Jefferies report stated, as global equity markets experienced a sharp selloff driven by growing doubt over the sustainability of the AI investment cycle. The bank, however, continues to hold positions in companies that supply the infrastructure behind AI, while steering clear of firms directly participating in the ongoing AI capital expenditure race — a distinction that reflects a more selective, rather than wholesale, retreat from the theme.

Valuation Gap Raises Red Flags

Valuation remains a central concern flagged in the report. On an equal-weighted basis, global AI stocks currently trade at around 23 times forward price-to-earnings — nearly double the 13 times multiple commanded by non-AI stocks. This premium is particularly striking given that earnings growth for AI-linked companies is expected to decelerate sharply over the next two years. Critics argue that paying a near-double valuation multiple for companies whose growth trajectory is compressing is a structural risk that markets have yet to fully price in.

Emerging Markets Feel the Rotation

The shift away from AI is already playing out in emerging markets. According to the report, AI-linked stocks in this segment gained 81 per cent in the year through June 2026, but returns have slowed markedly in the second half of the year as investors rotated into other sectors. The report also noted that Jefferies recently shifted its underweight position in South Korea to neutral, following the market's relative underperformance.

Semiconductor heavyweights TSMC, Samsung Electronics, and SK Hynix collectively account for 28.5 per cent of the MSCI Emerging Markets benchmark — a concentration so large that fund managers can 'hardly avoid them,' the report noted. While further gains in chip stocks remain possible if AI-related spending holds up, Jefferies cautioned that 'much of the easy money in semiconductor stocks has already been made.'

Impact on Indian Equity Flows

A separate report published earlier this month noted that AI-led earnings concentration in Taiwan and South Korea drew some emerging market funds away from what it described as fairly valued Indian stocks, triggering a rotation that weighed on foreign investor flows into India. This adds a domestic dimension to what is otherwise a global re-rating story — suggesting that the AI trade's unwinding could have indirect but real consequences for Indian equity markets.

What Comes Next

Whether the deceleration in AI earnings growth triggers a broader de-rating or merely a pause will depend on the trajectory of AI capital expenditure by hyperscalers in the coming quarters. For now, the balance of evidence — slowing earnings growth, stretched valuations, and visible rotation in emerging markets — suggests the AI trade is entering a more discriminating phase, where infrastructure enablers may hold up better than direct AI spenders.

Point of View

Not just another valuation warning. When a bank that still holds AI infrastructure names tells clients to diversify, it signals the trade is maturing into a winner-takes-most phase — where picks matter far more than broad exposure. The double valuation gap between AI and non-AI stocks is unsustainable against a backdrop of decelerating earnings, and the emerging market rotation is already happening in real time. For India, the indirect risk is underappreciated: as long as Taiwan and Korea dominate EM benchmarks through AI concentration, Indian equities will face a structural headwind in passive and semi-active foreign flows — regardless of their own fundamentals.
NationPress
17 Oct 2026

Frequently Asked Questions

What does the Jefferies report say about AI stock earnings growth?
The Jefferies report projects that consensus earnings growth for AI-related stocks in the MSCI AC World Index will fall sharply from nearly 100 per cent in 2026 to 30 per cent in 2027 and around 22 per cent in 2028. The bank attributes this to stretched valuations and a maturing AI capital expenditure cycle.
Why are AI stocks considered overvalued according to the report?
On an equal-weighted basis, global AI stocks trade at approximately 23 times forward price-to-earnings, nearly double the 13 times multiple for non-AI stocks. This premium is seen as difficult to justify given the expected sharp deceleration in earnings growth over the next two years.
Which semiconductor companies dominate the MSCI Emerging Markets index?
TSMC, Samsung Electronics, and SK Hynix together account for 28.5 per cent of the MSCI Emerging Markets benchmark. Their outsized weight means fund managers tracking the index have limited ability to avoid exposure to these AI-linked chipmakers.
How has the AI trade performed in emerging markets recently?
AI-linked stocks in emerging markets gained 81 per cent in the year through June 2026, but returns slowed in the second half of 2026 as investors rotated into other sectors. Jefferies also shifted its South Korea position from underweight to neutral following the market's underperformance.
How does the AI trade slowdown affect Indian stock markets?
A separate report noted that AI-led earnings concentration in Taiwan and South Korea drew emerging market funds away from Indian equities, which were described as fairly valued. This rotation reportedly weighed on foreign investor flows into India, adding an indirect domestic consequence to the global AI re-rating.
Nation Press
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