Executive Summary
The market is still talking about models, agents, and intelligence, but the spend pattern has shifted toward the infrastructure required to make any of it usable: data, security, governance, compute power, and the talent able to redesign work around them. The strategic question is whether the enterprise can afford, secure, govern, and staff the AI-enabled systems. This is an inflection point in AI adoption; organizations must move from AI as capability acquisition to AI as controlled execution.
Enterprise technology spend is beginning to detach from general economic caution, because executives are no longer treating AI-enabling infrastructure as optional. PwC reported in April that 90% of U.S. executives say their company is in a stronger position than two years ago; 38% have increased technology and AI investment since 2025; 36% have increased proactive risk management; and 35% have adjusted trade strategy. That does not mean the uncertainty story disappeared; it means better risk management through uncertainty to return to growth. The spend pattern is becoming more selective: Infrastructure, data readiness, security, private platforms, and customized analytics get defended, because they support execution, whereas more discretionary AI experimentation is being forced to prove value faster.
