Why Scaling AI to Billions Is Near Impossible

AI looks simple in controlled environments, but deploying it to billions introduces rapid data drift, strict latency constraints, fairness challenges, adversarial threats, and massive infrastructure demands. Drawing on experience at Meta, JPMorgan, and Microsoft, the article explains why real-world AI is ultimately a systems problem shaped by human behavior, global diversity, and constant change.