IBM has moved to address market doubts following the release of its preliminary second-quarter results, which triggered one of the steepest stock declines in years. The company insists that artificial intelligence has not destroyed demand for enterprise software but merely delayed it. According to CEO Arvind Krishna, large clients prioritized spending on AI infrastructure (servers, storage, and memory) during the quarter, postponing license renewals and new software deals. “The majority of what didn’t happen in the second quarter were large capex deals at large clients,” Krishna said during the analyst call. He added that roughly one-third of those deals have already closed in the first three weeks of the new quarter, a solid indication that this is a deferral rather than permanent loss.
However, Wall Street is not entirely convinced. Analysts repeatedly asked whether customers have permanently shifted their spending priorities or are simply reordering budgets. The big question is whether software demand has been deferred or destroyed. Krishna held his ground: companies are investing heavily in AI infrastructure, but once that foundation is ready, they will need software to orchestrate, manage, and extract value from those systems. “The unprecedented investment in AI infrastructure and models will increase pressure on enterprises to generate meaningful returns,” he said, noting that value will shift toward orchestration and data layers.
In this context, IBM unveiled Project Lightwell, a service designed to help enterprises manage the growing security risk in aging open-source code. The company argues that the recent release of Mythos, an AI model from Anthropic, has dramatically accelerated the discovery of vulnerabilities in legacy code. Lightwell uses AI to remediate and validate open-source packages that many enterprises still run in production, even though their original maintainers no longer update them. The service costs $1 million per year and already counts Bank of America, Citi, Goldman Sachs, JPMorgan Chase, Mastercard, Morgan Stanley, Visa, and Wells Fargo as clients. Krishna called this a “multi-billion-dollar opportunity” and said IBM will pursue it aggressively.
Beyond IBM’s strategy, this move reflects a broader industry trend: the convergence of AI, cybersecurity, and software modernization. Enterprises need technology partners to navigate this complex landscape. That is where companies like Q2BSTUDIO add value, offering custom software development services tailored to each organization’s specific needs. Instead of relying solely on off-the-shelf suites, many businesses opt for personalized solutions that integrate AI, cloud, and data analytics coherently.
Artificial intelligence, far from being a threat to the software sector, is creating new opportunities. AI agents, for instance, enable complex process automation and real-time decision-making. Q2BSTUDIO implements AI agents that integrate with cloud platforms like AWS and Azure, helping companies optimize operations. Moreover, cybersecurity remains a priority: with pentesting and system protection services, vulnerabilities can be identified before they are exploited, an approach that complements tools like Lightwell.
Another key area is Business Intelligence. Organizations need dashboards and reports that turn data into decisions. Q2BSTUDIO offers BI solutions with Power BI, enabling companies to visualize critical metrics and detect trends. At a time when AI accelerates data generation, having a solid analytics layer is essential.
Returning to IBM’s case, the company appears to be betting on a virtuous cycle: AI unleashes security problems that only AI can solve. But that same AI, once embedded in enterprise software, opens the door to new business models. Krishna put it clearly: “Value will shift towards orchestration and data layers.” For custom software developers, like those who trust Q2BSTUDIO, this signals that personalization and AI integration will be increasingly in demand.
The takeaway for the market is that the temporary disruption of software deals should not be interpreted as a structural shift. Underlying demand remains intact; what has changed is the order of spending priorities. As AI infrastructure solidifies, software, cybersecurity, and BI projects will return to center stage. IBM knows this, and its bet on Lightwell and AI as a catalyst for new opportunities reinforces that vision.
