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Markets · Narrative··Updated 3d ago
Part of: Semiconductor Cycle

Semiconductor AI capex boom hits dot-com bubble levels in valuations

Chip and semiconductor stocks have rallied 147% above their 200-week moving averages with RSI levels matching the 2000 dot-com peak. Investors are increasingly piling into bearish semiconductor hedges even as the sector attracts record ETF inflows, signalling deep conviction that valuations have disconnected from fundamentals.

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Key facts

  • Semiconductor index 147% above 200-week MA; weekly RSI 85.7 and monthly RSI 84.9, matching 2000 dot-com peak
  • $SOXS (3x inverse chip ETF) recorded largest April inflows on record: $2.4 billion
  • Memory chip makers guiding record margins through 2027 on AI inference demand
  • TSM targeting 180,000 3nm wafers/month by year-end; CPU-to-GPU ratio normalising from 1:8 toward 1:1
  • Downstream users (PCs, phones, auto) show flat demand; AI capex concentrated in narrow hyperscaler set

What's happening

The semiconductor sector has entered uncharted valuation territory this week. Technical analysis shows chip stocks now trading 147% above their 200-week moving average, with weekly RSI readings of 85.7 and monthly RSI at 84.9, matching the exact overbought extremes seen at the peak of the March 2000 dot-com bubble. The rally has been relentless, driven by AI data-center capex narratives and record ETF inflows. Yet a striking divergence has emerged: while equity flows remain bullish into mega-cap names like Nvidia and Broadcom, the 3x leveraged inverse semiconductor ETF (SOXS) recorded its largest monthly inflow on record in April, pulling in $2.4 billion. This suggests sophisticated investors are hedging against a potential crash even as momentum traders pile in.

The underlying bull case rests on a genuine supercycle narrative. Memory chip manufacturers are guiding to record margins through 2027 as AI inference demands drive insatiable demand for DRAM and NAND. Samsung, Micron, and SK Hynix all flagged supply constraints stretching into next year, which should support pricing discipline. Intel and AMD have both benefited from data-center CPU demand, as the CPU-to-GPU ratio in AI clusters is normalising from 1:8 toward 1:1, meaning agentic AI workloads require more CPU capacity. Goldman Sachs and others note that TSM (Taiwan Semiconductor Manufacturing Company) is ramping its 3nm production hard, targeting 180,000 wafers per month by year-end, a clear sign of conviction in demand.

Yet the market structure is dangerous. Valuations of premium semiconductor names have disconnected sharply from earnings visibility beyond 2026. Chip stocks that make leveraged bets on AI infrastructure, such as Broadcom, which supplies networking gear to data centers, trade at multiples that assume perpetual capex acceleration. Meanwhile, downstream users of chips (PCs, smartphones, automotive) show no equivalent demand surge, suggesting AI chip demand may be concentrated in a narrow buyer set. If hyperscaler capex slows, or if supply constraints ease faster than expected, the rapid multiple compression could be severe. The fact that bearish hedges are hitting record flows while bullish flows continue suggests the market is pricing a high probability of a significant correction, but momentum is still carrying prices higher. This is the classic setup for a crash.

What to watch next

  • 01Nvidia earnings release: later this month, watch for data-center capex guidance 2026-27
  • 02TSM capacity utilisation and shipment trends: if slowing, signals demand soft
  • 03Memory spot prices: DRAM/NAND pricing action shows if supply-demand is loosening
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