IBM insists AI didn’t kill software deals, just delayed them
The business move
IBM pushed back against the narrative that AI is killing major software sales. Instead, the company framed the slowdown in large software deals as a timing shift rather than outright cancellations. According to IBM, many customers are delaying enterprise software purchases because their budgets are tied up buying more hardware, which is needed to power AI workloads.
Why it matters
This explanation matters because it reveals where enterprise dollars are flowing in an AI-driven market. Firms are prioritizing infrastructure investments—likely GPUs, servers, and data center upgrades—to run AI models before committing to big software contracts. This dynamic raises the bar for software vendors to prove value, as buyers spend first on foundational AI compute resources.
It also signals that software pipelines are not drying up but merely stretched out. That means enterprise software companies could face shorter-term revenue pressure and longer sales cycles. It cautions founders and investors that while AI demand exists, capital deployment is staggered and project pacing more cautious than outright scrapped.
Who gains and who gets squeezed
Hardware suppliers, especially those offering AI-optimized gear, gain more negotiating power and share of budget. Meanwhile, software vendors face higher scrutiny and may need to bundle or time their offerings around infrastructure upgrades. Buyers get caught in the middle, juggling competing priorities between necessary hardware to run AI and software to integrate and manage AI workflows.
Eventually, once infrastructure is in place, software deals may accelerate. But for now, the shift pressures enterprise software firms to adjust sales tactics and expectations around AI-driven spending patterns.
What to watch next
Watching IBM’s deal activity over the next quarters will be telling to confirm whether software sales rebound after infrastructure investments stabilize. It will also be important to observe how other large vendors communicate around AI spending trends and whether they see similar postponements.
For operators running AI programs, it’s a reminder to plan budgets holistically and expect timing shifts between hardware and software purchases. Investors should watch for signs of changing sales cycles and cash-flow adjustments in software companies leaning on AI as a growth driver.
AI Quick Briefs Editorial Desk
