MC Story Art - medium.pngAI investments are exploding. CEOs across industries are pouring billions into artificial intelligence, believing it will transform their organizations. But the reality is much more complex than it might appear.

Recent earnings calls painted a consistent picture: AI investments are accelerating, infrastructure spending is rising, and boards are increasingly pushing for transformation. Yet, fewer than a quarter of CEOs say AI is deeply integrated into their core operations, and even fewer can point to measurable, revenue-driving results.

This gap doesn't surprise me. In fact, I've lived on both sides of it.

When Transformation Meets Reality

When I joined Goodyear, I inherited a 127-year-old brand in a highly competitive, low-margin market. Data was siloed across regions, customer relationships were transactional, and our technology programs felt like "big bang" transformations that took years, not months, to implement.

We didn't need more pilots. We needed a complete reinvention.

We transitioned to a global platform, unified customer data, and embraced a delivery model where every three months, we delivered tangible value to the business. This is how AI should be implemented, not as a buzzword or a pilot project, but as a strategic lever for reinvention.

At Stellantis, I helped build a software business aimed at generating $22B in revenue by 2030. The goal? To transform a traditional automaker into a mobility enterprise. At ZF, I was handed the task of digitally reinventing the company to support Vision Zero: zero accidents and zero emissions. And at Consumers Energy, I drove transformation in a high-stakes industry defined by resilience and risk.

The lesson in each of these experiences was simple: technology without a fundamental operating model reinvention is just theater.

Why Most Organizations Are Stuck

PwC's recent research shows that nearly 40% of CEOs believe their companies won't survive in the next decade without a radical shift. Despite this, boards continue to fund more pilots rather than redesigning the entire business model around AI.

We're not in a technology cycle. We're in a reinvention cycle, and it's not just about technology. This is about four simultaneous transformations: technology, geopolitics, capital flows, and talent economics.

The Brands That Will Win: A Call for Reinvention

The companies that will succeed in the next decade are those that understand that AI is not a technology. It's a mindset shift. They will:

    Move from pilots to enterprise integration with measurable quarterly outcomes. At Goodyear, we focused on tangible growth every quarter. No more abstract promises.
    Align AI with identity, not just efficiency. At Stellantis, our initiatives like STLA Brain and STLA SmartCockpit were not just about software. They were about reshaping business models.
    Treat trust, data, and workforce capability as strategic assets, not just compliance checkboxes.
    Invest in the leaders who will execute it. That's why I co-founded T200, to ensure women in tech aren't just part of this transformation, they're leading it.

The Uncomfortable Truth About AI Investments

AI without operating model reinvention is branding theater. Reinvention without trust leads to instability. Speed without clarity creates fragmentation.

And the hardest part of reinvention is never the technology. It's the people. It's the culture. It's the courage to aim for exponential change, not incremental gains.

The Era of Volatility

We're now living in a world where volatility is the baseline. In this environment, the leaders who succeed will be those who can balance short-term pressure with long-term redesign without flinching.

AI is reshaping industries. But the question isn't whether AI will change your industry. It's whether your business model is evolving fast enough to matter.

Is Your Organization Reinventing Around AI?

AI is not a silver bullet. It's a powerful tool for reinvention. But the real question leaders need to ask is: Are we truly reinventing, or just experimenting?

In the coming years, the businesses that lead will be the ones who embrace AI not as a series of isolated projects but as a core, strategic component of a transformed business model.