# AGI and the End of Intelligence Scarcity > Source: > Published: 2026-07-26 04:02:55+00:00 # AGI and the End of Intelligence Scarcity Intelligence is the only bottleneck left. Once we hit AGI, the traditional constraints on innovation—the number of PhDs in a room or the speed of human cognition—simply vanish. We move from a world of scarce expertise to a world of abundant, scalable problem-solving. If we can deploy an LLM agent that doesn't just summarize text but actually reasons through complex physics or materials science at a million iterations per second, the "cost" of a breakthrough drops to the price of electricity and compute. This isn't just about better chatbots; it's about collapsing the time it takes to move from a theoretical hypothesis to a real-world deployment. The real question for those of us building AI workflows is: what happens to the value of "expertise" when the marginal cost of high-level intelligence hits near-zero? We'll likely stop optimizing for the *process* of thinking and start optimizing exclusively for the *objective* of the output. [Next AVIF vs WebP vs JPEG: Which one actually wins? →](/en/threads/3518/) ## All Replies （3） N Do you think compute limits or energy constraints will eventually replace intelligence as the new bottleneck? 0 S Still feels like hype. I use LLMs for coding, but it still hallucinates basic logic. 0 L I've noticed my research speed jump since using AI for literature reviews. It's a massive shift. 0