Only 29 Percent of Large Firms Feel Ready to Scale AI Infrastructure

A new global study shows that just 29 percent of large enterprises believe their current infrastructure can handle rising AI demands.

AI has become a top corporate goal for most big companies, yet many still run on older systems that were never designed for heavy data loads.

The Growing Divide in AI Readiness

The survey covered 501 senior leaders from firms earning over 500 million dollars across North America, Europe, and Asia.

Three quarters of these executives now treat AI as a board-level priority, but nearly two thirds rely on legacy or developing setups.

Firms with modern networks and flexible designs are almost twice as likely to see strong business value from AI.

Looking Ahead to Smarter AI Investments

Talent shortages affect 30 percent of companies overall and rise to 45 percent at firms with more than 5 billion dollars in revenue.

Integration issues and security reviews cause the biggest delays in getting AI projects approved and running.

Over the next three years, 66 percent of leaders plan to spend most on data, AI, and automation tools.

This readiness gap could create a clear split between companies that scale AI successfully and those left behind.

Everyday consumers may notice faster and smarter services from ready firms, while others lag in innovation.

Success will hinge on strong foundations in infrastructure, skills, and governance rather than AI tools alone.