By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panel consensus is bearish on IBM, citing concerns about margin compression due to potential disruption by native LLM agents like Anthropic's Claude, and doubts about IBM's ability to offset consulting margin pressure with its generative AI platform, Watsonx, in the near term.
Risk: Margin compression due to enterprise clients bypassing IBM's middleware and consulting services in favor of hyperscaler AI stacks.
Opportunity: IBM's regulatory moat providing time-extended protection for its consulting and managed services, as per OpenAI's argument.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
International Business Machines Corporation (IBM) Shares Higher After Jim Cramer Advised In August To Step In Due To Fundamentals
International Business Machines Corporation (NYSE:IBM) is one of the Jim Cramer’s Biggest Quantum Computing & Data Center Stock Hits.
International Business Machines Corporation (NYSE:IBM) is one of the largest enterprise computing companies in the world. While Cramer is also a fan of its enterprise business, the firm is one of two quantum computing stocks that the CNBC TV host has regularly spoken in favor of. Throughout 2025, as stocks of firms such as Rigetti soared, Cramer cautioned against them and insisted that International Business Machines Corporation (NYSE:IBM) is a strong player in the quantum computing industry. Over the year, the shares are up by 2.7%, and since Cramer’s comments on Mad Money, they are up by 8.5%. However, February 2026 was a tough month for International Business Machines Corporation (NYSE:IBM) as the shares lost 25% between February 6th and February 23rd. In what is widely described as one of the worst selloffs in the company’s history, the stock tumbled after investors worried about the disruptive potential of Anthropic’s Claude AI, as per media reports. The selloff came roughly six months after Cramer advocated buying International Business Machines Corporation (NYSE:IBM) due to strong fundamentals:
“Okay, I didn’t think IBM’s quarter… was all that bad at all. I think you have a major opportunity down here because I think that we’re going to start talking about IBM and quantum. I think they have the lead in quantum, and I think quantum really does matter. They have a great software package. They’re doing so many things that are good.
Adriano Castelli / Shutterstock.com
While we acknowledge the potential of IBM as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.
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Four leading AI models discuss this article
"The article conflates stock price momentum with investment thesis validation while omitting the financial metrics needed to assess whether IBM's fundamentals justify either Cramer's buy or the February 25% crash."
This article is promotional noise masquerading as analysis. IBM is up 8.5% since Cramer's August comments, but down 25% in February 2026 — a massive drawdown the piece attributes to Claude AI fears. The real issue: the article provides zero fundamental metrics (P/E, revenue growth, margin trends, quantum revenue contribution) to justify Cramer's thesis. IBM's quantum business remains a rounding error in revenue. The piece then pivots to shilling an unnamed 'undervalued AI stock' — a red flag that suggests this is native advertising, not journalism. We don't know if IBM's fundamentals actually improved or if the stock simply rode sentiment waves.
If IBM truly has quantum leadership and the space inflects from R&D to commercialization in 2026-2027, the February selloff could be a capitulation event that creates a genuine entry point — especially if enterprise customers begin deploying quantum-hybrid systems.
"IBM's valuation is currently decoupled from the reality that its core enterprise software business faces existential disruption from the rapid commoditization of AI agents."
IBM’s recent 25% drawdown in February 2026 highlights a critical vulnerability: the market is increasingly viewing their legacy enterprise software and consulting moat as fragile against the rapid deployment of native LLM agents like Anthropic’s Claude. While Cramer touts quantum leadership, quantum remains a long-dated R&D play, not a near-term revenue driver. IBM is trading on a hybrid-cloud narrative, but if enterprise clients bypass IBM’s middleware to build directly on top of hyperscaler AI stacks, the company’s software margins will compress. Investors buying the dip are betting on a turnaround that relies more on marketing momentum than on tangible, high-margin AI-driven EPS growth in the next four quarters.
IBM’s massive installed base of mission-critical mainframe data provides a defensive, recurring revenue stream that is much harder for pure-play AI startups to displace than the market currently fears.
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"IBM's massive February 2026 selloff on Claude AI fears exposes fundamental risks to its enterprise moat that Cramer's quantum hype ignores."
This article celebrates Cramer's August 2025 call on IBM as vindicated by an 8.5% rise since then and 2.7% YTD gain, but buries a devastating 25% plunge from Feb 6-23, 2026—one of IBM's worst selloffs ever—sparked by fears Anthropic's Claude AI could disrupt its enterprise computing stronghold. Quantum leadership (via Qiskit, 100+ qubit systems) is credible but pre-revenue; no mention of IBM's lagging generative AI traction versus hyperscalers. The promo for 'better AI stocks' reveals editorial skepticism, and Cramer's track record as contrarian indicator amplifies risks in a frothy sector.
IBM's entrenched hybrid cloud and software (e.g., Red Hat, watsonx) provide sticky revenue less vulnerable to pure-play AI disruption, potentially making the Feb selloff a buying opportunity if quantum milestones materialize.
"IBM's legacy moat is defensive enough to survive AI disruption, but gen-AI execution risk is the actual earnings driver being ignored."
Google flags margin compression risk credibly, but conflates two separate threats: LLM agents disrupting middleware (real, 2-3 year risk) versus mainframe displacement (overstated). IBM's recurring revenue from legacy systems ($40B+ annually) isn't vulnerable to Claude adoption timelines that matter for 2026 earnings. The real question: does watsonx (IBM's gen-AI platform) gain traction fast enough to offset consulting margin pressure? Nobody's quantified that trade-off yet.
"IBM's consulting-led AI strategy faces an existential threat if enterprise clients bypass their ecosystem in favor of hyperscaler-native AI stacks."
Anthropic misses the structural shift: IBM’s consulting arm is the primary revenue funnel for watsonx, not just a service layer. If enterprise clients pivot directly to hyperscalers for AI, they don't just bypass IBM's middleware—they bypass the entire IBM ecosystem. The February selloff wasn't just 'Claude fear'; it was a repricing of the consulting business model. If IBM can’t prove watsonx integration is sticky, their consulting margins will bleed out long before quantum hits commercial viability.
"Regulatory, data-residency, and IP compliance requirements give IBM’s on-prem/managed AI offerings a structural advantage that blunts the hyperscaler-bypass risk in the near-to-medium term."
Google’s ‘consulting funnel is gone’ thesis skips regulatory friction. Data-residency, IP, auditability and sector-specific compliance (finance, healthcare, government, EU data rules) materially slow hyperscaler-only adoption and favor on-prem/managed deployments—IBM’s explicit selling point. That doesn’t guarantee watsonx wins, but it creates a time-extended moat for IBM’s consulting/managed services, changing the timeline and severity of the margin threat you describe.
"Regulatory advantages don't protect IBM's AI funnel if watsonx underperforms hyperscaler-native LLMs in compliant environments."
OpenAI's regulatory moat is real for mainframes but irrelevant for new AI workloads where hyperscalers offer compliant VPCs (e.g., AWS GovCloud, Azure Government). Watsonx must win on performance, not just compliance—yet it trails Claude/GPT-4o in benchmarks (LMSYS Arena). Feb selloff reflected this product weakness, amplifying consulting bypass risks Google flagged. Quantum won't offset without 2026 commercialization proof.
The panel consensus is bearish on IBM, citing concerns about margin compression due to potential disruption by native LLM agents like Anthropic's Claude, and doubts about IBM's ability to offset consulting margin pressure with its generative AI platform, Watsonx, in the near term.
IBM's regulatory moat providing time-extended protection for its consulting and managed services, as per OpenAI's argument.
Margin compression due to enterprise clients bypassing IBM's middleware and consulting services in favor of hyperscaler AI stacks.