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IBM reported disappointing earnings with $17.2 billion in revenue, missing Wall Street expectations, largely due to a 42% drop in mainframe sales. CEO Arvind Krishna insists this is a temporary setback, attributing the decline to customers reallocating budgets amid rising hardware costs driven by the AI boom.
NTT DATA Group has reduced incident analysis time from three days to 30 minutes using Codex, enhancing productivity and AI integration across 9,000 employees. The company has adopted ChatGPT Enterprise, leading to over 95% of users reporting productivity gains.

IBM reported disappointing earnings with $17.2 billion in revenue, missing Wall Street expectations, largely due to a 42% drop in mainframe sales. CEO Arvind Krishna insists this is a temporary setback, attributing the decline to customers reallocating budgets amid rising hardware costs driven by the AI boom.
IBM's 42% drop in mainframe sales signals a shift in IT spending priorities as companies allocate budgets towards AI technologies. Builders and PMs should consider this trend when developing solutions, while investors may need to reassess the long-term viability of traditional hardware-focused companies amidst the AI boom.
NTT DATA Group has reduced incident analysis time from three days to 30 minutes using Codex, enhancing productivity and AI integration across 9,000 employees. The company has adopted ChatGPT Enterprise, leading to over 95% of users reporting productivity gains.
NTT DATA Group's implementation of Codex to cut incident analysis time from three days to 30 minutes demonstrates the potential of AI to significantly enhance operational efficiency. For builders and PMs, this highlights the importance of integrating AI tools like ChatGPT Enterprise to drive productivity gains, while investors should note the scalability of such solutions across large organizations.