Nvidia and Musk's robotic big bets will test Anthropic's latest projections

An Anthropic study projects it will take 40 years for robots to replace just 10% of job tasks if robot prices decline along past trends, citing capabilities, preferences and regulations as further barriers beyond price. The finding clashes with Nvidia CEO Jensen Huang's January 2026 CES prediction of a coming "ChatGPT moment" for robotics and with Tesla CEO Elon Musk's plan to sell the Optimus robot as early as next year, as well as a 2025 Morgan Stanley report forecasting a humanoid robot market exceeding $5 trillion by 2050. Apollo chief economist Torsten Sløk echoed Anthropic, writing that "even under aggressive projections, widespread physical labor displacement will take decades.

The overlords of the AI world seem to agree on the need for self-policing https://finance.yahoo.com/technology/article/ai-companies-just-signed-a-white-house-accord-and-tech-folks-cant-get-enough-of-the-signatures-095852998.html . Whether that consensus of rivals comes from genuine concern for humanity's well-being or common financial motives is open for discussion. What tech leaders don't agree on is when AI-infused robots https://finance.yahoo.com/sectors/technology/article/tesla-optimus--musk-face-a-new-threat--openai-robotics-160202761.html will massively displace human workers. The vastly different timelines for when humanoid robots will become mainstream are among the most interesting AI debates that aren't about safety and place major players in open disagreement. A new study from the AI company Anthropic https://finance.yahoo.com/technology/article/anthropic-study-suggests-blue-collar-workers-have-decades-before-robots-take-their-jobs-115957939.html ANTH.PVT https://finance.yahoo.com/quote/ANTH.PVT/ suggests blue-collar workers have decades before robots take their jobs. While that stretched time horizon is still unsettling, it offers some comfort for workers and the breathing room for collective action in the private sector and through public policy. The robot flood is coming, the study seems to say, but in more time than you think. That analysis clashes with the more AI-bullish scenarios that foresee the rapid uptake of robots in households and factories, fueled by a rapidly diminishing cost to build them. At CES in January 2026, for instance, Nvidia NVDA https://finance.yahoo.com/quote/NVDA/ CEO Jensen Huang predicted a coming "ChatGPT moment" for robotics in the form of agents, self-driving cars, and humanoid robots. And Tesla CEO Elon Musk is racing to establish a commercial beachhead https://finance.yahoo.com/markets/stocks/article/elon-musks-optimus-dream-inches-closer-to-reality-231947477.html for embodied AI with the company's Optimus robot. Musk has said Optimus will go on sale as early as next year, and envisions a future where every household has a robot. A Morgan Stanley research report from 2025 forecasts that the market for humanoid robots could surpass $5 trillion by 2050. Adoption of humanoids, the report states, is likely to accelerate in the late 2030s with improved tech, a friendlier regulatory environment, and popular support. Not so fast, the Anthropic report suggests. If the prices of robots declines following past trends, it will take 40 years for robots to replace just 10% of job tasks, according to the report. "Beyond price, factors including capabilities, preferences, and regulations pose further barriers to robot automation." Other experts have echoed Anthropic's takeaway. Apollo chief economist Torsten Sløk wrote in a note highlighting the paper that "even under aggressive projections, widespread physical labor displacement will take decades." Disclosure: Yahoo is a portfolio company of funds managed by affiliates of Apollo Global Management. The disparity of timelines underscores another point of tension between the rapid pace of software development and the slow progress of hardware. Full integration in the digital world — menus and interfaces, screens and apps — has unfolded in a totally different way than hardware products. That it took several years after the debut of ChatGPT for Meta to put out the first Big Tech-backed AI "holdable" is a testament to that.