Eseandre Mordi
● In a report highlighted by Fortune and shared by Rohan Pau, AI pioneer Geoffrey Hinton issued a stark warning: Big Tech's massive AI investments can only turn a profit if companies replace people with machines at scale.
● Tech giants plan to pour over $420 billion into AI next year, while OpenAI alone has locked in nearly $1.4 trillion in infrastructure commitments. He argues these eye-watering sums can't be justified by chatbot subscriptions or software sales. The real money, he says, comes from automation — replacing human workers to cut costs and boost margins.
● And it's already happening. Amazon just eliminated 14,000 corporate jobs, with CEO Andy Jassy openly stating AI will continue to shrink the company's white-collar workforce. The numbers tell the story: entry-level job postings in the UK have dropped 32% since ChatGPT launched, while U.S. listings are down over 35% from early 2023. When machines do more work, companies need fewer people.
● His message captures the central tension of the AI boom: the technology promises innovation and growth, but the business case increasingly hinges on how many jobs it can eliminate. That shift could deepen the gap between those who own the technology and those who work for a living — a dynamic that will define economic policy for years to come.
Eseandre Mordi
