Mo Gawdat, a prominent figure from Google X, shifts the discussion’s focus from technical safety to society’s ethical inadequacy. His thesis that superintelligence emerges in an era of moral minimum points to a fundamental systemic risk. Traditional debates on AI safety often center on algorithmic errors or "goal alignment." However, Gawdat proposes a more radical perspective: technology has already become an instrument for managing attention, anticipating social transformations.
The forecast of 50% unemployment in certain sectors and the collapse of capitalism indicates an inevitable economic shock requiring a rethinking of resource distribution models. The core issue lies in developmental asymmetry: technological progress outpaces the evolution of social norms. Implementing systems capable of manipulating cognitive processes against a backdrop of degrading ethical standards creates a dangerous feedback loop. This is not a question of creating an "evil robot," but the risk that the most powerful tools will be wielded by people with outdated or low moral compasses.
For the professional community, this means integrating ethical audits not only into code but also into business strategies. Ignoring the human factor renders any technical safety solutions meaningless. Technological power without an ethical anchor leads not to progress, but to the amplification of existing imbalances. Consequently, the primary challenge of the coming decade will not be creating smarter models, but cultivating a society capable of bearing responsibility for their application in conditions of full automation.