Enterprise AI is moving to operating judgment. The constraints now sit in inference economics; hybrid architecture; decision rights; institutional knowledge; cybersecurity; and the ability to reallocate money, people, and strategies while the market changes faster than the annual planning cycle.

Enterprise AI is moving to operating judgment: decisions that affect how AI is deployed and leveraged, not whether it will be used. The constraints now sit in inference economics; hybrid architecture; decision rights; institutional knowledge; cybersecurity; and the ability to reallocate money, people, and strategies…

AI has entered a post-promise phase, where the conversation has shifted from model excitement to the harder work of infrastructure, governance, data readiness, and operating model redesign. Spending continues to climb, with Gartner projecting $2.52 trillion in worldwide AI spending for 2026, yet more than half of CEOs…

This month’s thread: AI has entered the postpromise stage. The conversation is moving away from model fascination and toward infrastructure, data movement, governance, cybersecurity, workforce redesign, and operating model control.

This month’s thread: AI has crossed from novelty into controlled execution. The market still talks about models, agents, and intelligence, but spending has shifted to the infrastructure required to make AI usable: data, security, governance, compute power, and the people able to redesign work around it.

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,…