Estimated reading time: 6 minutes
Artificial intelligence has become one of the most aggressively marketed ideas in modern enterprise technology. Board decks, earnings calls, and internal strategy documents frame AI as inevitable and transformational. The implication is organizations that move fastest will win, while those that hesitate risk being left behind.
Despite unprecedented investment, most enterprise AI initiatives fail to deliver sustained, material business impact.
A 2025 MIT report, found that only around 5% of generative AI pilots achieve measurable revenue acceleration, with the vast majority stalling. These failures are typically driven by poor integration into enterprise workflows, unclear ownership, weak data foundations, and the absence of strategic anchoring.
