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Nvidia's blowout results and Salesforce's Agentforce progress signal the AI software selloff has gone too far, says Wedbush

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Nvidia's blowout results and Salesforce's Agentforce progress signal the AI software selloff has gone too far, says Wedbush

Nvidia delivered a blowout quarter, with management forecasting Blackwell and Rubin demand to exceed $500 billion for 2026 and guiding $78 billion of revenue for the April quarter, while Jensen Huang argued software will be a net beneficiary of the AI cycle. Wedbush says those prints — together with Salesforce reporting early Agentforce monetisation that it estimates could reach roughly 25% of CRM revenue within a year — undercut the "AI Ghost Trade" narrative and support a potential bottoming and recovery in enterprise software names including Salesforce, ServiceNow, Microsoft, IBM, CrowdStrike and Palo Alto Networks.

Analysis

Market Structure: Nvidia's $78B April guide and Wedbush's >$500B 2026 infrastructure demand thesis point to direct winners: NVDA, memory suppliers, Asian foundries and cloud infra owners (MSFT). Incumbent enterprise software (CRM, NOW, IBM) gains pricing power because models need data/workflows; pure-play middleware or SMB-focused SaaS with weak CIO relationships (smaller peers, some CRWD/PANW use-cases) are exposed. Expect data‑center capex to rise 20–40% YoY in 2026 versus 2025 run-rates implied by NVDA guidance, tightening component supply and raising memory/energy demand. Risk Assessment: Tail risks include rapid commoditisation of model access (OpenAI/Anthropic wins) or regulatory limits on data portability that erode incumbents' moats; geopolitical supply shocks to Taiwan/China could cap NVDA upside. Immediate (days) risk is a knee-jerk reversal if NVDA supply commentary disappoints; short-term (3–6 months) sensitivity centers on CRM Agentforce monetisation proof-points; long-term (12–36 months) depends on entrenched workflow ownership and data governance shifts. Hidden dependencies: enterprise contract cadence, cloud reseller economics, and talent cost inflation that compress margins. Trade Implications: Tactical positions: overweight NVDA and select data‑center suppliers, accumulate CRM and MSFT as platform plays, and underweight or selectively short smaller SaaS names lacking enterprise distribution (target CRWD/PANW exposures that trade richly vs fundamentals). Use pair trades (long CRM vs short CRWD) to express incumbent capture of workflow value over 3–9 months. Employ options to control risk: NVDA 3‑month call spreads and CRM 6–9 month calls to express asymmetric upside while capping premium outlay. Contrarian Angles: Consensus underestimates regulatory/data access risk and may be overpaying for perpetual margin expansion; conversely the selloff in large incumbents is likely overdone—market priced in >30–50% workflow disruption that Wedbush argues is unlikely. Historical parallel: platform capture after infrastructure upgrades (cloud cycle 2013–2016) suggests incumbents re‑monetised via new SKU pricing within 12–24 months. Unintended consequence: rapid infra build could intensify competition for enterprise contracts, raising sales intensity and short‑term SG&A.