Wedbush lifts IBM price target as AI transformation fears give way to execution confidence

The upgrade follows what Wedbush describes arsenic a play successful which IBM was caught up successful what it presumption the "AI Ghost Trade," a de-rating driven by concerns that Claude Code, Anthropic's AI coding tool, could modernise bequest COBOL systems and bypass IBM's entrenched endeavor instal basal entirely.

Wedbush pushed backmost connected that thesis successful February, arguing that AI was much apt to accelerate bequest translation projects than circumvent them, and the slope present believes those fears person mostly dissipated.

Channel checks constituent to coagulated momentum crossed IBM's AI, hybrid cloud, automation, and cybersecurity merchandise lines, with endeavor customers progressively seeking the benignant of trusted, scalable, and compliance-ready solutions that IBM's integrated software, consulting, and infrastructure stack is designed to deliver.

A important strategical improvement is IBM's $11 cardinal acquisition of Confluent, the information streaming platform, which Wedbush frames arsenic a determination to deepen the company's information processing capabilities crossed its hybrid unreality ecosystem and fortify end-to-end integrations spanning applications, analytics, information systems, and AI agents.

IBM has besides reported $4.5 cardinal successful interior productivity gains to date, a fig that does not yet see savings attributed to IBM Bob, the company's interior AI deployment.

On quantum computing, Wedbush acknowledges the exertion remains years from commercialized scale, with IBM targeting the archetypal fault-tolerant quantum machine by 2029, but views the company's astir $10 cardinal concern programme arsenic a semipermanent positive, positioning IBM astatine the intersection of AI and quantum successful a marketplace it expects to make $1 trillion successful worth implicit the adjacent decade.