How The AI Economy Will Eliminate Irrelevance, Not Work

Jay Bavisi is the Founder, Chairman, and Group CEO of EC-Council, a global leader in AI governance and cybersecurity education.

​One of the great ironies of the AI economy is this: Organizations are investing heavily in AI while giving far less attention to the workforce capabilities required to use it effectively.

McKinsey’s report released this year found that 88% of organizations used AI in at least one business function in 2025, and that number continues to rise. In my conversations with senior executives, security leaders and technology teams, it has become evident that organizations are accelerating AI adoption while struggling to develop the skills and operational readiness needed to support it.

As AI becomes more embedded in everyday work, the human loop must remain critical. This loop will help ensure that judgment, accountability and context stay with people even as more tasks become AI-assisted. That imbalance is becoming one of the defining business challenges as AI continues to expand.

Public debate still focuses on job displacement, but for most organizations, however, the more urgent challenge is adapting to work that is already changing. AI is transforming the value of work faster than it is eliminating jobs. Like the internet and cloud computing before it, AI is dramatically reshaping the skills that drive economic value, but at a pace that requires organizations to rethink workforce development, operational readiness and long-term competitiveness.

Success in the AI economy will depend less on how quickly organizations deploy it and more on whether their people can use it with judgment, accountability and context.

The Value Of Work Is Transforming

Capabilities that once required specialized expertise are becoming more accessible, as information can now be gathered, summarized and analyzed in seconds via AI. Routine tasks are becoming simpler than before, and some forms of technical work are becoming easier to perform.