Gpt 5,6,7: Does it even matter? The (ghost) productivity question. [D]

Explain Like I'm Normal

Despite models smashing benchmarks, the 'productivity paradox' persists because enterprise adoption lags behind raw capability. The bottleneck isn't the model's intelligence, but the friction of integrating AI into legacy economic systems and organizational workflows. We are currently stuck in the gap between 'the model can do this' and 'the company can actually bill for this.'