Recently, the Bank of England issued its starkest warning yet about Artificial Intelligence valuations: the multi-trillion-dollar spending boom financed by debt risks unravelling.Days earlier, Michael Burry (the investor who predicted the 2008 housing crash, popularized in 2015’s The Big Short) compared the AI boom to the dotcom bubble. Meanwhile, MIT researchers found that 95% of enterprise AI pilots deliver zero return. The debate has moved from whether an AI bubble exists to what happens when it bursts.
But this framing misses the point. The question facing enterprise technology leaders has nothing to do with market valuations or popping bubbles. What matters is whether specific AI applications create measurable, sustainable value for your operations.Answering that question needs a pragmatic, outcome-first mindset that prioritizes results over technological sophistication.Enterprise technology trends emerge, mature, and occasionally implode. But the pattern repeats itself: transformative technology arrives, vendors rush to market with solutions, expectations inflate beyond reason, and businesses struggle to separate signal from noise.AI follows this familiar arc, but the underlying capability remains real and substantial. The challenge lies in its implementation and focus.
