Strategic AI: Delivering Real Impact

The Chief Information Officer, once a figure largely confined to the server room and IT helpdesk, has undergone a profound metamorphosis.

No longer merely a technical gatekeeper, today’s CIO is a strategic architect, a risk manager, and a visionary leader tasked with navigating the dizzying pace of technological change. This evolution is perhaps best encapsulated by the Forbes CIO Next list for 2025, which shines a spotlight on executives who are not just adopting technology, but fundamentally reshaping their organizations in a world increasingly defined by artificial intelligence.

The allure of AI is undeniable, a siren song promising unprecedented efficiency and innovation. Yet, as a recent MIT report soberly reminded us, over 90% of enterprise generative AI pilots have failed to deliver a measurable return on investment.

This statistic underscores the immense challenge facing today’s tech leaders: to discern genuine opportunity from overhyped fantasy, to vet and implement new technologies, and crucially, to ensure they actually achieve their intended results. The individuals celebrated on this list – CIOs, CDOs, CTOs, CISOs – are demonstrating how this formidable twofold challenge can be met with tangible success.

Across a mosaic of industries, from the bustling kitchens of CAVA and Chipotle to the intricate financial networks of BNY Mellon and Mastercard, and the high-stakes environment of the NFL and the Department of State, a common thread emerges: strategic, impactful AI integration. These leaders aren’t just dabbling; they are deploying AI to solve concrete business problems, improve customer experiences, and bolster operational resilience.

Consider the transformative journey at Ford, where Mike Amend is orchestrating a pivot from decades of proprietary data centers to a flexible, multi-cloud infrastructure. This isn’t merely a technical upgrade; it’s a strategic move to future-proof the automotive giant and enable AI innovation at scale, already freeing up significant computing power and slashing processing times for legacy systems.

Similarly, Kim Basile at Kyndryl, fresh from a major IBM spin-off, didn’t just manage a complex separation; she drastically reduced legacy applications and established an AI lab with a governance board, ensuring responsible and effective adoption that saves employees over 10 hours a week.

The impact ripples through diverse sectors. In healthcare, Edwina Bhaskaran, the Mayo Clinic’s first Chief Clinical Systems and Informatics Officer, is leveraging generative AI to enhance patient communication, accelerate clinical documentation, and empower clinicians with faster decision-making for millions. Her work underscores AI’s potential to humanize complex systems, not just automate them.

On the entertainment front, Mike Bidgoli at Tubi successfully navigated the live 4K streaming of Super Bowl LIX for 24 million viewers, a feat underpinned by improved ad technologies and AI-driven content personalization – proof that robust tech infrastructure is the bedrock of modern viewership. And for the NFL, Gary Brantley’s deployment of AI-driven optical tracking technology promises more precise measurements and fairer calls, directly enhancing the integrity and flow of the game, while the “Ask Vince” AI agent boosts fan engagement.

Beyond grand-scale transformations, AI is revolutionizing daily operations. Paul Beswick at Marsh McLennan unified disparate IT systems across four businesses and launched LenAI, an internal generative AI tool that automates repetitive tasks for 90,000 employees, saving them over 100 hours annually and generating $160 million in productivity gains. At Okta, Jenna Cline’s team rolled out over 60 AI tools, on track to save 250,000 productive hours this fiscal year, with an AI chatbot handling half of all user questions, allowing IT staff to focus on complex issues. This pragmatic application of AI for internal efficiency is a hallmark of many leaders on the list.

Cybersecurity, an ever-present concern, is also being fundamentally reshaped by AI under these leaders. Dan Carmichael at Dataminr is helping shape the nascent field of AI security, deploying internal AI agents for 24/7 testing and risk flagging, slashing software release review times by 85%. Uber’s Latha Maripuri has seen AI-based detection increase the identification of potential cyber threats by over 140%, while Dr. Kelly Fletcher at the Department of State earned accolades for correctly identifying a Microsoft cloud compromise by a Chinese hacking group, preventing further data exfiltration – a testament to proactive, AI-informed security.

What distinguishes these leaders is not just their embrace of AI, but their commitment to its responsible and impactful deployment. They are establishing AI governance councils, creating internal AI platforms like S&P Global’s Spark Assist and BNY Mellon’s Eliza, and investing heavily in employee AI literacy programs, ensuring that the human element remains central to technological advancement. They recognize that simplification is key, tackling decades of “barnacled” legacy applications, consolidating platforms, and migrating to the cloud to create agile, AI-ready infrastructures.

From Melanie Kirkwood Ruiz’s smart parking solutions at LAX for ABM Industries to Jamie Montemayor’s automated customer orders at General Mills saving millions in transportation costs and carbon emissions, the stories are varied but the message is clear: these are the architects of the digital future. They are not merely responding to change; they are driving it, ensuring that technology, particularly AI, serves not just as a tool, but as a strategic lever for growth, efficiency, and responsible innovation. They are the standard-bearers, demonstrating how to turn the promise of AI into tangible, impactful reality, setting the stage for what comes next.