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IBM is the latest AI casualty. Shares are tanking 11% on Anthropic programming language threat

By Mark GrundellCNBCFebruary 23, 2026 at 7:41 PMBearish1 min read

IBM shares experienced a significant 11% drawdown following concerns that generative AI and emerging programming languag

IBM shares experienced a significant 11% drawdown following concerns that generative AI and emerging programming languages, specifically linked to the ecosystem surrounding Anthropic’s Claude models, could jeopardize its lucrative long-term consulting and legacy software maintenance business. Traditionally, IBM has capitalized on complex, labor-intensive enterprise digital transformations. However, the rapid advancement of Al-driven coding assistants and integrated development environments (IDEs) threatens to bypass traditional consulting services by automating high-level architectural shifts and code translation. This market reaction underscores a growing fear among sophisticated investors that 'AI legacy' companies—those providing human-led services to manage old tech—may see their moats evaporate. While IBM has integrated its own 'watsonx' AI platform, the market is currently pricing in the risk that third-party large language models (LLMs) like Anthropic’s will democratize technical expertise, leading to pricing pressure and reduced project scope. Investors should focus on the upcoming quarterly billings for IBM’s Consulting division to see if this 'casualty' narrative translates into actual churn, or if the sell-off is an overreaction to the disruptive potential of automated software engineering.

Analyst sentiment: Bearish
What to watch next

Watch upcoming earnings, policy statements and sector-level price action for confirmation.

Key Takeaways

  • 1IBM's stock fell roughly 11% as investors reacted to the threat posed by advanced AI programming capabilities that could automate high-margin consulting work.
  • 2The primary concern stems from the 'Anthropic threat,' where sophisticated AI models are becoming increasingly capable of handling complex enterprise coding and infrastructure migrations without human intervention.
  • 3This sell-off highlights a shift in sentiment where AI is viewed not just as a tool for IBM's growth, but as a disruptive competitor to its core service-based business model.
  • 4The market reaction reflects broader industry anxiety regarding the 'AI displacement' of traditional IT outsourcing and professional services firms like IBM and Accenture.

IBM shares experienced a significant 11% drawdown following concerns that generative AI and emerging programming languages, specifically linked to the ecosystem surrounding Anthropic’s Claude models, could jeopardize its lucrative long-term consulting and legacy software maintenance business. Traditionally, IBM has capitalized on complex, labor-intensive enterprise digital transformations. However, the rapid advancement of Al-driven coding assistants and integrated development environments (IDEs) threatens to bypass traditional consulting services by automating high-level architectural shifts and code translation. This market reaction underscores a growing fear among sophisticated investors that 'AI legacy' companies—those providing human-led services to manage old tech—may see their moats evaporate. While IBM has integrated its own 'watsonx' AI platform, the market is currently pricing in the risk that third-party large language models (LLMs) like Anthropic’s will democratize technical expertise, leading to pricing pressure and reduced project scope. Investors should focus on the upcoming quarterly billings for IBM’s Consulting division to see if this 'casualty' narrative translates into actual churn, or if the sell-off is an overreaction to the disruptive potential of automated software engineering.

IBM shares experienced a significant 11% drawdown following concerns that generative AI and emerging programming languages, specifically linked to the ecosystem surrounding Anthropic’s Claude models, could jeopardize its lucrative long-term consulting and legacy software maintenance business. Traditionally, IBM has capitalized on complex, labor-intensive enterprise digital transformations. However, the rapid advancement of Al-driven coding assistants and integrated development environments (IDEs) threatens to bypass traditional consulting services by automating high-level architectural shifts and code translation. This market reaction underscores a growing fear among sophisticated investors that 'AI legacy' companies—those providing human-led services to manage old tech—may see their moats evaporate. While IBM has integrated its own 'watsonx' AI platform, the market is currently pricing in the risk that third-party large language models (LLMs) like Anthropic’s will democratize technical expertise, leading to pricing pressure and reduced project scope. Investors should focus on the upcoming quarterly billings for IBM’s Consulting division to see if this 'casualty' narrative translates into actual churn, or if the sell-off is an overreaction to the disruptive potential of automated software engineering. The development arrives against a backdrop of shifting risk appetite, where investors are reassessing exposure to markets and weighing the second-order impact on adjacent sectors. Investors are watching the broader tape for follow-through. Live pricing was not available at the time of writing, but positioning data and order-book signals will shape the next session. Positioning across funds, options skew and credit spreads typically respond first; equity price action lags but tends to confirm the direction once volume returns.

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