The Great Rotation Out of Tech May Already Be Reversing. These Are the Best Artificial Intelligence (AI) Growth Stocks to Buy Now.

Salesforce, Workiva, and SentinelOne are presented as AI-linked growth stocks trading at attractive valuations after sharp 2026 pullbacks. Salesforce reported fiscal Q4 2026 revenue of $11.2 billion, up 12% year over year, while Workiva posted $239 million in Q4 sales (+20%) and SentinelOne reached $1 billion in fiscal 2026 revenue (+22%) with fiscal 2027 sales guidance of $1.2 billion. The article argues AI adoption is strengthening, not weakening, each company’s business model, despite recent volatility in forward P/S multiples.

Analysis

The setup is less about “AI winners vs losers” and more about valuation reset after a mechanically forced de-rating. These names are all still growing fast enough that the market is no longer pricing in outright disruption, just slower multiple expansion; that creates room for sharp mean reversion if sentiment stabilizes. The key second-order effect is that AI adoption is becoming a feature embedded inside incumbents’ workflows, which lowers customer churn risk and reduces the odds of a wholesale platform swap.

Among the three, CRM looks like the highest-quality defensive compounder because AI can be monetized through existing distribution rather than forcing a new sales motion. WK is the most mispriced if the market is still valuing it like a user-seat SaaS vendor; its usage-based model makes the “AI destroys seats” thesis structurally weaker than the tape implies. S is the highest beta expression: the stock can re-rate quickly if cybersecurity buyers keep treating AI-native defense as a necessity, but it is also the most vulnerable to renewed competition from larger security platforms bundling AI into broader suites.

The contrarian miss is that the selloff may have already flushed out the easy de-rating, but not the eventual disappointment risk from slower net retention or compressed upsell in a tougher IT spending environment. In other words, the upside from multiple normalization may be front-loaded over days to weeks, while fundamental proof that AI is actually improving monetization will take quarters. If macro weakens, these names can still grow and underperform on the same day.

The cleaner trade is to favor the highest-quality cash flow with the lowest narrative risk and use the more speculative names for tactical exposure. The best risk/reward is a relative-value basket long CRM/WK versus a broad software short, or long CRM against S to express quality over beta. The catalyst window is the next 1-2 earnings cycles, where AI attach rates and guidance revisions will matter more than the current headline valuation reset.

Key Decisions for Investors

• Long CRM into the next earnings print, using a 6-12 month horizon; best risk/reward among the group because AI is additive to distribution rather than a replacement threat. Add on post-market weakness if guidance confirms Agentforce monetization.
• Long WK on a 3-6 month horizon as a valuation dislocation trade; if the market continues to price it like seat-based SaaS, upside can come from multiple mean reversion rather than heroic operating assumptions. Tighten risk if billings growth decelerates below revenue growth.
• Tactically long S only as a higher-beta rebound trade over the next 4-8 weeks; use options rather than stock if possible because the upside is faster but the business is more exposed to renewed AI security competition. Risk/reward favors defined-risk calls over outright shares.
• Pair trade: long CRM / short a software ETF or a basket of AI-disrupted SaaS names for 1-2 quarters; the thesis is that incumbents with embedded AI features regain relative performance while the market overpenalizes generic software. Cover if software multiples re-rate broadly on macro relief.
• Avoid aggressive shorting of any of the three here; the crowded de-rating is already partly in the price, so the cleaner expression is relative value, not outright bearishness.