AI may become most powerful when we stop noticing it. Today we measure AI adoption by things we can easily count: ChatGPT subscriptions, Claude users, Gemini downloads, enterprise licenses. But that may eventually become the wrong way to think about AI. Consider the internet. We don’t wake up and decide to “use the internet.” We open a banking app. Stream a movie. Order dinner. Check a map. Send a message. The internet disappeared into the infrastructure of everyday life. AI may follow the same path — except potentially much faster. It will increasingly sit behind search engines, phones, financial systems, healthcare tools, customer service, software development, logistics, education and government services. Eventually, millions of people may interact with AI dozens or hundreds of times a day without consciously deciding to “use AI.” And that changes the important questions. The question stops being: How many people subscribe to AI? And becomes: How many decisions are being influenced or made by AI? Which loan gets approved? Which job candidate gets interviewed? Which information reaches you? Which medical condition gets flagged? Which investment gets made? Which piece of software controls critical infrastructure? This is where the conversation about AI becomes bigger than technology. Because when a technology becomes infrastructure, control of that infrastructure becomes power. And if increasingly important decisions flow through systems built by a relatively small number of companies, the question isn’t simply whether AI makes society more productive. We also need to understand where that productivity, information and decision-making power accumulate. AI doesn’t have to “take over the world” for the world to change profoundly. It may simply become part of everything. And eventually we may stop noticing that it’s there. That’s when understanding who controls it matters most.

The remarkable number here isn’t 98%. It’s 2.2%. AI is already driving enormous investment in chips, data centers and electricity while direct paid household adoption remains tiny. But there’s another hidden variable: paying for AI and using AI are increasingly different things. AI is being embedded into search, phones, productivity software, customer service and eventually almost every digital product. Most people may never consciously decide to “subscribe to AI.” They may simply wake up one day and realize it has become part of everything they use. The biggest technology shifts often stop looking like technology once they become infrastructure.

AI can create enormous value. But a bigger industry is not a safety test. Homodeus examines the difference between optimism, capability, and safeguards—and the incentives shaping the race. Follow the incentives. #AI #AISafety #HomodeusIntel

piped.video/shorts/dbRusMu_1… Bill Gates rejects AI industry self-regulation. Homodeus examines the incentives: who verifies the safeguards—and who bears the risk when they fail? Follow the incentives.

AI companies are racing for one of the largest prizes in economic history. Now we’re asking many of those same companies to police the risks. Self-regulation can be part of the answer. But when the stakes become enormous, should it be the final safeguard?