Well-confirmed. Here's the piece.

Headlines (choose one)

1. MUSK'S TRILLION-DOLLAR BET: AI Could Add $30 Trillion a Year, He Tells G20
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3. BEYOND HUMAN: Musk Says AI Coders Will Crush Us All by 2027
4. A BILLION ROBOT WORKERS: Musk's Wild Vision for the Global Economy
5. STOCKFISH-LEVEL SOFTWARE: Musk Warns Humans Can't Compete With AI Soon

Article:

Speaking virtually to the G20 Innovation Ministerial in Chapel Hill, North Carolina, Tesla and SpaceX CEO Elon Musk laid out a sweeping vision of how artificial intelligence could reshape the global economy in the coming years. Musk told the gathering he expects AI to boost global economic output by roughly 20 to 30 percent annually, translating to somewhere between $20 trillion and $30 trillion in added value every single year. Given current projections that put global GDP near $126 trillion in 2026, that estimate would represent a staggering jump, one driven not by traditional industrial growth but by machines taking on an ever-expanding share of the world's digital and cognitive labor. Musk framed the number as a rough estimate rather than a precise forecast, but the scale of the claim was enough to draw attention from economic policymakers in the room.

Central to Musk's argument was a bold prediction about the near-term trajectory of AI capability itself. He told the ministerial that he expects software written by AI to become "Stockfish-level good" within the next 12 to 18 months, referencing the chess engine so dominant that no human player can realistically compete against it. Applied to programming, Musk suggested this same dynamic would soon make it effectively impossible for human software engineers to keep pace with AI systems on pure coding ability. He extended this forecast beyond software specifically, predicting that AI would become extremely capable across virtually any task that can be done digitally, essentially anything short of physically manipulating the real world, by the end of 2027.

Beyond software, Musk pointed to humanoid robotics as an even bigger economic lever than AI on its own. He told the ministers that he expects well over a billion humanoid robots to exist within the next decade, each one capable of producing several times the output of a single human worker. According to Musk, this could act as a multiplier effect on top of AI's software gains, potentially scaling global economic output by ten times or more once robotics reach that kind of scale and productivity. He described a recursive dynamic where robots eventually begin manufacturing other robots, a process he said would start slowly before accelerating rapidly as the technology matures.

Musk's remarks weren't purely optimistic, however. He also warned G20 members about a looming mismatch between the pace of AI chip production and the availability of electricity needed to power it, noting that chip output is rising by an estimated 40 to 50 percent annually while power capacity outside China is growing at only 10 to 20 percent a year. He suggested that gap could create real opportunities for countries willing to rapidly expand their electricity generation, positioning themselves to attract major AI data center investment as a result. His comments came as G20 members reached consensus on what's being called the Carolina principles, a policy framework intended to guide how emerging technologies like AI are developed and deployed while still supporting broader economic growth, a signal that governments are beginning to grapple seriously with the scale of change Musk and others are describing.