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The tech stocks free fall doesn’t make any sense, BofA says in rebuke to investors while doubling down on the sector’s longevity

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Bank of America Global Research argues the recent software-led selloff that erased roughly $300 billion of market value is internally inconsistent, contending AI capex cannot both collapse and simultaneously render legacy SaaS obsolete. BofA forecasts AI capex will quadruple to $1.2 trillion by 2030, views leading chip names (Nvidia, Broadcom, AMD, Credo) as trading near or below 1x PEG versus 1.5–2x for large-cap peers, and highlights physical supply constraints (power, land, data-center shells, advanced memory and optics) as a governor on overbuild risk, framing the pullback as a potential buying opportunity rather than evidence of secular decline.

Analysis

Market structure is bifurcating: winners are AI-infrastructure suppliers (NVDA, AVGO, AMD, CRDO, memory and optics suppliers) who gain pricing power from constrained compute, power and data‑center capacity; losers are high-valuation SaaS incumbents (CRM, NOW) whose pricing power and renewal dynamics face uncertainty. The market is effectively repricing time-to-monetization: infrastructure capex remains supply-constrained and should support ASP/margin expansion over 12–36 months, while SaaS revenues face near-term churn and contract repricing risk over the next 2–6 quarters. Tail risks include an AI-capex collapse (>30% yoy cut) driven by disappointing model economics, tighter US/China export restrictions, or a major fab/power outage; these could compress semiconductor revenue by 20–40% in a stress scenario. Immediate impact (days) will be volatility and option skew; short-term (weeks–months) could see earnings-guide resets; long-term (2026–2030) the BofA $1.2T capex thesis remains plausible but dependent on power/land/fiber buildouts and memory supply evolution. Trading implications: favor asymmetric, concentrated longs in infrastructure vs tactical, small-cap shorts in SaaS. Implement risk-defined option exposure (6‑month call spreads on NVDA/AVGO) and relative-value pairs (long NVDA/short CRM) to capture dispersion while limiting tail exposure. Rotate portfolio +200–300bps into semis/hardware, funded by -200–300bps from SaaS/long-duration names, scaling entries over 4–8 weeks and trimming into a 20–30% rally. Contrarian view: consensus understates physical bottlenecks that create multi-quarter pricing power for leading silicon and optics — this implies current selloff is overdone for best-in-class fabricators but underdone for smaller SaaS firms with real AI-driven churn risk. Historical parallel: Jan 2025 DeepSeek reaction recovered within 6–9 months as buildout reaccelerated; conversely, a technology-monetization delay could punish crowded infrastructure longs >30%. Set hard thresholds: exit/hedge if infrastructure order cuts exceed 20% sequentially or if SaaS ARR downgrades exceed 10%.