Part 4/13:
Despite remarkable innovations and advances in AI, a critical challenge persists: how do we make effective, strategic decisions? Current AI solutions largely address narrow, specific problems—what the speaker refers to as narrow AI—but struggle when scaling up to Artificial General Intelligence (AGI) or autonomous decision-making at a human level.
He emphasizes the staggering statistic from MIT: 90% of GAI pilots fail in production. The question arises: why do so many promising projects falter after initial deployment? Several barriers are identified, including managing paradoxes, bounded rationality, and human cognition.