We’re Ranking AI Models All Wrong And Why Human Capability Should Drive The Benchmark

At a moment when the AI industry is obsessed with bigger models and higher scores, Professor Ganna Pogrebna opened the inaugural Behavioral AI Institute webinar with a provocation that cut against the grain. “We keep asking, ‘What can AI do?’” she told more than 300 participants. “When we should be asking, ‘What should humans remain remarkably good at?’” That reframing exposed a blind spot at the heart of modern AI development. We are optimizing relentlessly for machine capability—while quietly allowing human agency to thin out in the background. And most of us don’t even realize it’s happening.