Great Agentic AI Software Stocks

The article argues that AI software beneficiaries remain attractive, highlighting Oracle, ServiceNow, and Microsoft as leading agentic AI names with improving institutional inflows. It cites Oracle revenue rising toward $67.2 billion and nearly $130 billion by fiscal 2028, ServiceNow EPS estimates increasing from $4.15 this year to $6.20 in 2028, and Microsoft EPS of $16.80 this year, $19.43 next year, and $22.83 in 2028. The piece is primarily an investment commentary on valuation, earnings, and money flows rather than a new company-specific catalyst.

Analysis

This is less a generic “software recovery” call than a barbell on the AI monetization stack: infrastructure and workflow orchestration are absorbing the first wave of budget reallocations, while lower-value SaaS layers remain vulnerable to pricing pressure. The second-order implication is that AI spend is becoming more concentrated in platforms that sit closest to data gravity and daily enterprise processes, which should widen the gap between category leaders and everyone else over the next 6-18 months.

The flow angle matters because institutional ownership tends to re-rate winners before fundamentals visibly inflect. That said, the market is likely already discounting the easy part of the AI narrative for ORCL and MSFT; the bigger upside may be in NOW if investor skepticism about near-term monetization proves too pessimistic. If workflow automation translates into measurable seat expansion, attach rates, or faster module adoption, earnings revisions could accelerate over the next 2-3 quarters and force a squeeze in a name that has been de-rated on sentiment more than on business quality.

The main risk is not that AI hurts software broadly, but that capex-heavy AI adoption compresses near-term margins and lengthens sales cycles before productivity gains show up. For ORCL, watch for cloud backlog conversion and whether AI demand is crowded into a narrow set of customers; for MSFT, the risk is multiple compression if growth normalizes while expectations remain elevated. For NOW, the contrarian setup is strongest: if the market is underestimating how quickly AI agents increase workflow throughput, current weakness could prove to be the best entry point in the group.

Key Decisions for Investors

• Long NOW on weakness over the next 2-6 weeks; target a 6-12 month hold. Risk/reward favors upside if workflow AI starts contributing to billings acceleration, with downside limited if the market is already pricing in a slow adoption curve.
• Maintain core long MSFT, but avoid chasing here; use pullbacks to add over the next 1-3 months. The trade is quality compounding, not multiple expansion, so upside is steadier but likely lower beta than NOW.
• Long ORCL as a relative AI infrastructure beneficiary versus legacy SaaS over the next 3-9 months. Best as a selective overweight if cloud bookings and AI-related demand remain firm; risk is that the market has already moved to a “show me” phase on execution.
• Pair trade: long NOW / short basket of lower-quality SaaS names with weaker AI exposure over the next quarter. Thesis is that workflow leaders should capture budget share as enterprises consolidate vendors around agentic automation.
• If using options, favor 3-6 month call spreads on NOW rather than outright calls; this captures a potential rerating while limiting premium risk if AI adoption is slower than the current narrative implies.