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Home/Hardware & Robotics/Humanoid Robots
Best Humanoid Robots in 2026, Compared

Best Humanoid Robots in 2026, Compared

Humanoid Robots

A grounded comparison of leading humanoid robot programs in 2026, including Boston Dynamics' Atlas timeline and the specialized-robot counterargument.

Humanoid robots generate a lot of impressive demo footage. Which programs are actually closest to real deployment looks different once you strip that away.

Our coverage of Hyundai taking full ownership of Boston Dynamics lays out a genuinely specific, dated plan: Atlas starting in 2028 at a Georgia plant, parts-sequencing first, expanding to component assembly by 2030. That’s a more concrete commitment than most competing programs offer.

Timeline specificity is the real signal to watch. Programs willing to commit to dates and narrow tasks, not broad claims about future capability, are usually the ones closest to an honest read of where the technology actually stands.

Not everyone’s betting on the humanoid form. Andreessen Horowitz’s investment in Travis Kalanick’s Atoms is built around specialized, purpose-built robots for narrower industrial tasks instead. A genuinely different bet worth knowing about before assuming humanoid form factors win by default.

Balance, sensing, and safe physical contact remain the genuinely unsolved problems across every program, not marketing weaknesses specific to one company. Our explainer on robot design covers why these are so much harder than they look in a demo video.

See Boston Dynamics’ own Atlas page for more detail.

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How Much Energy Do AI Data Centers Use?

How Much Energy Do AI Data Centers Use?

Data Centers

An explainer on AI data center energy consumption, why power has become the real bottleneck on growth, and how regulators are responding.

AI’s power draw has stopped being a technical footnote and become a real policy fight, with actual regulatory action following from it.

High-density AI hardware pulls far more power per rack than traditional computing ever did, and needs far more cooling to manage the heat. That’s why electrical and cooling infrastructure is often a bigger engineering challenge than the compute itself, covered in more depth in our explainer on what’s actually inside a data center.

The scale is genuinely enormous. Our coverage of Texas’s grid connection freeze found the state’s grid operator tracking requests for more than 474 gigawatts, over five times the grid’s all-time peak demand record. That’s one state’s queue, and it’s exactly why power, not chip supply, is the real constraint on new AI capacity right now.

Rising electricity costs and strained local water supplies have produced real organized pushback in multiple states, which is why states like Texas have moved to audit pending projects before approving more grid connections, a genuinely new level of scrutiny compared to a couple years ago. Some data centers now build their own on-site power generation specifically to sidestep that bottleneck.

See the International Energy Agency’s own data on data center demand.