The AI paradox: Why massive investments are delivering minimal ROI
By Gajanan Raut
For the past 24 months, the C-suite has been locked in a high-stakes AI arms race. Boards have sanctioned multi-million dollar investments in Large Language Models (LLMs), Generative AI pilots, and sprawling “transformation” task forces. The promise was clear: a quantum leap in productivity and a fundamental reshaping of the cost curve.
Yet, as the dust settles on the first wave of implementation, a sobering reality is emerging. According to recent benchmarks from Goldman Sachs and Gartner, the needle on bottom-line productivity has barely moved. While the marginal cost of “intelligence” is plummeting toward zero, the cost of organizational friction is at an all-time high.
We have entered the AI Paradox: a phenomenon where the more a company spends on artificial intelligence, the more it exposes the systemic inefficiencies of its human architecture. To bridge the gap between “pilot purgatory” and actual ROI, leaders must stop treating...
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