AI Is Moving Faster Than Enterprises Can Follow
AI Is Moving Faster Than Enterprises Can Follow
https://www.cybersecurity-insiders.com/ai-is-moving-faster-than-enterprises-can-follow/
Publish Date: 2026-06-26 02:35:00
Source Domain: www.cybersecurity-insiders.com
For the first time in the AI era, speed is as much a competitive advantage as it is a barrier to adoption.
The companies building AI are racing to release better models and tools, and while that pace has resulted in extraordinary progress, it has also created a problem for the enterprises expected to turn AI into real business value. Consumers can try a new model or feature the moment it appears, decide whether they like it, and move on. But enterprises can’t. They have infrastructure to protect, workflows to preserve, users to train, risks to evaluate, and governance processes that were never designed for technology changing this quickly.
That tension is now showing up clearly in the data. According to McKinsey’s 2025 State of AI report, 88% of organizations now report regular AI use in at least one business function, yet nearly two-thirds have not begun scaling AI across the enterprise. Only about one-third are actually growing AI deployment across their organizations. Deloitte’s 2026 enterprise AI research tells a similar story. Workforce access to AI tools is expanding, but only 25% of companies have moved 40% or more of their AI experiments into production.
Enterprise leaders are well aware that AI is reshaping how work gets done and offers immense competitive advantages. But are organizations operationally ready to absorb AI at the pace the market is producing it? In many cases, the answer is still no.
Why Enterprises Cannot Keep Up
There is a fundamental difference between trying AI and adopting it at enterprise scale.
While individual users can simply open a new tool and start playing around, large organizations require drawn-out adoption processes like evaluating vendors, approving procurement, validating security, integrating systems, training employees, and defining policies. Those steps take time, and for good reason, because enterprise technology has consequences well beyond a single user’s experience.
But AI makes…
