Mahesh Devella: The Hidden Costs of Ignoring AI

Mahesh Devella  
CTO

Mahesh Devalla is an acclaimed CTO, author of The AI Dilemma, Asian American 40 Under 40 honoree, and Global AI Top 100 Leader. With decades leading enterprise AI transformations, he advises Fortune 500 companies and startups on turning AI into core business strength. He believes hesitation is now the most expensive corporate strategy and promotes rapid, responsible AI adoption to improve efficiency, decision-making, and competitiveness. As a keynote speaker and board advisor, he combines technical expertise with strategic vision to help leaders innovate and develop adaptive, intelligence-first organizations.

Why hesitation is now the most expensive strategy in business

Every executive claims to be cautious. Yet, in today’s market, caution disguised as delay has become the most expensive strategy of all. Artificial Intelligence is not a passing wave; it is the tide reshaping every coastline of business. Those who underestimate it are not avoiding risk; they are inviting irrelevance.

 

The hidden costs of ignoring AI are subtle yet devastating. Consider Kodak, which once dominated film but dismissed digital imaging as a niche, and  BlackBerry, which believed enterprise security would outweigh user experience. In both cases, the technology they ignored quietly rewrote the rules. Today, companies across industries face the same pattern, not because AI will replace them, but because their leadership refuses to reimagine what efficiency, speed, and intelligence truly mean.

 

“AI is no longer a competitive edge; it is the new baseline for survival.”

 

A global retailer that delayed automating its inventory forecasting lost hundreds of millions due to overstocking during demand shifts. Meanwhile, its AI-ready competitor reduced waste and improved margins within a single quarter. A financial institution that hesitated to deploy generative AI for client servicing now faces a talent drain as employees move to firms offering smarter, more purposeful work. The cost of inaction is no longer theoretical; it is reflected in missed opportunities, eroded productivity, and declining brand equity.

 

Executives often ask, “Where can we apply AI?” The sharper question is, “What would our business look like if intelligence guided every decision?” This shift in thinking transforms AI from a tool into an ecosystem. It redefines what leaders measure, how teams collaborate, and how value is created.

 

As I reflected in my book The AI Dilemma, technology is never the real barrier. The obstacle is belief. Organizations fail not because AI is complex, but because leadership remains anchored in legacy comfort zones. The companies that win are those that act before they are ready, those that experiment, learn fast, and scale responsibly.

 

The next era will not reward the biggest organizations but the most adaptive ones. AI is no longer a competitive advantage; it is the foundation upon which relevance is built. The leaders who understand this early will not just adapt to the future; they will shape it. They will define it.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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