Anthropic’s Recent Developments
The developments involving IBM and Anthropic represent more than a temporary market reaction; they signal a deeper shift in how artificial intelligence may transform the economics of legacy technology worldwide. For many decades, modernising older systems has depended on long, expensive programs involving large consulting teams and significant capital investment. This approach has been central to IBM’s services and mainframe modernization business.
However, the sharp decline in IBM’s share price followed Anthropic’s claim that its Claude Code tools can automate some of the most time‑consuming phases of COBOL modernization, such as dependency mapping and code analysis, which traditionally required extensive manual work. This reaction suggests that investors are increasingly viewing AI as a potential disruptor to long‑standing revenue models in enterprise technology. While IBM argues that true modernisation involves far more than simple code translation, Anthropic’s positioning indicates that the traditional consulting‑heavy model is facing credible pressure.
IBM Share Price Recap (1 Year)
IBM’s share price over the past year has followed a volatile path marked by a strong rally, a steep sell‑off, and a partial rebound. The stock reached a low of $214.50 in April 2025 before climbing more than 51% to a record high of $324.90 in November 2025, supported by enthusiasm around AI initiatives and strength in enterprise software. That momentum reversed sharply in early 2026, when a weak earnings result triggered a nearly 29% decline within weeks. Outlook deteriorated further after Anthropic’s Claude Code showcased its ability to automate COBOL tasks, an area closely tied to IBM’s mainframe and modernization businesses. This prompted a single‑day drop of more than 12%. The share price has since recovered to roughly $256.
How This Could Impact Global IT Giants
Anthropic’s COBOL‑modernization capability, showcased through Claude Code, has the potential to reshape the economics of legacy IT across the industry. Its demonstration in February 2026, showing AI can automate historically labor‑intensive tasks like dependency mapping, workflow analysis, and documentation, triggered IBM’s share price to tank, highlighting investor concerns regarding how revenue streams may face disruption.
Beyond IBM, hyperscalers like Microsoft, AWS, and Google Cloud could benefit, as cheaper AI‑assisted assessments may accelerate migration pipelines toward cloud platforms. However, it could also pose hinderances for a few of their divisions. Consulting giants such as Accenture and the Big 4 may see reduced manual discovery work but increased demand for AI‑augmented modernization frameworks. The automation was inevitable. This has been raising several concerns in the job market globally. If a global tech giant can be impacted, then naturally the mundane and clerical jobs could be expunged.
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