Although IBM continues to actively develop software, the Red Hat platform, and artificial intelligence-based solutions, the reported results fell short of market expectations, according to investing.com. The consulting business was the weakest performer, and management maintained a cautious outlook for the full year.
The infrastructure segment exerted additional pressure. Sales of new z17 series mainframes fell short of expectations, which also negatively impacted sales of enterprise transaction processing software.
In late June, some customers reallocated their budgets toward purchasing servers, data storage systems, and memory, seeking to stay ahead of potential price increases for equipment. Investment decisions were also influenced by heightened cyber risks.
The market is changing the rules for valuing technology companies
Investor reaction shows that simply positioning a company as a leader in artificial intelligence is no longer enough to maintain a high market valuation. While just a year ago the market was willing to pay a premium for the prospects of AI development, attention is now shifting to companies’ ability to translate new technologies into sustainable business growth.
For IBM, this means it must prove that investments in artificial intelligence can offset the slowdown in its traditional business lines, primarily consulting and infrastructure solutions.
IBM’s story reflects a broader shift in the global technology market. Investors are moving from assessing future potential to analyzing the actual commercial returns from AI projects.
That is precisely why the quarterly reports of the largest technology companies in the coming months may become the key indicator of the extent to which artificial intelligence is truly becoming a source of new organic growth, rather than remaining a factor that merely sustains market expectations.
