08/26/2026
This is one of the clearest signs that AI is no longer an emerging technology. It's becoming a core part of business infrastructure.
OpenAI recently introduced an enterprise offering that allows large organizations to reserve AI computing capacity in advance, ensuring reliable access to AI services even during periods of extremely high demand.
While that may sound technical, the concept is straightforward.
Every interaction with tools like ChatGPT relies on vast amounts of computing power housed in data centers. Each prompt, response, workflow, automation, and AI-driven process consumes a small portion of that infrastructure.
As AI adoption continues to accelerate across industries, demand for that computing power is growing rapidly. As a result, AI availability is beginning to matter as much as internet connectivity, cloud reliability, and other critical business systems.
Just a few years ago, most companies viewed AI as an experimental tool, something used occasionally for content creation, note summarization, or brainstorming.
Today, organizations are embedding AI directly into customer service, operations, reporting, business workflows, and internal automation. In these environments, even brief interruptions can have meaningful operational consequences.
That's why this development feels significant.
It signals a shift in how businesses think about AI. Rather than asking, "Can AI help us?", many organizations are now asking, "What happens if our AI systems become unavailable?"
What's equally remarkable is the scale of infrastructure required to support this transformation. OpenAI and other AI providers continue investing heavily in data center capacity as demand reaches levels that would have been difficult to imagine only a few years ago.
And demand shows no signs of slowing.
To me, this is another strong indicator that AI adoption is moving far faster than many predicted. The conversation has evolved from experimentation to dependency, and from innovation to infrastructure.
The question is: Are businesses becoming too dependent on AI, or are we only beginning to see what this technology will ultimately become?