A Google engineer sat down this week to introduce Gemini Robotics 2 and let slip something more revealing than any demo. Asked when robots would enter daily life, he gave three answers from three moments in his own career. Three years ago: beyond my lifetime. Two years ago: maybe ten years. Now: five to ten. The technology is not the headline. The collapsing of that estimate is.
Gemini Robotics 2, launched by Google DeepMind, brings what the company calls whole-body intelligence to machines: the ability to reason about a task, plan across the whole body, and fold that reasoning into physical action. In the launch film an engineer asks a robot to make a t-shirt, and everyone in the room agrees, cheerfully, that robotics is incredibly hard. What has changed is not that it got easy. It is that the curve of getting less hard has bent sharply upward, and the people building it can feel the bend under their own feet.
Hold that engineer’s three answers in your hand, because they are the argument. A serious person, close to the work, revised his forecast of a civilisational shift from never to within a decade in the span of a normal contract. That is not a prediction about robots. It is a warning about how badly humans forecast their own displacement. We assume the future arrives on a schedule we can plan around. It arrives, instead, the way this engineer’s own estimate did: quietly, then all at once.
So let us have the honest conversation about work, and let us not have the lazy one. The lazy one says robots take jobs and society collapses. The comfortable rebuttal, doing the rounds this week under the banner “when robots create jobs,” says every wave of automation has minted more work than it destroyed, so relax. Both are too neat. The loom created jobs, in aggregate, over decades. It did not create them for the weaver, in that town, in that lifetime. Aggregate comfort is cold comfort to the person standing in the gap. The question worth asking is not whether robots create jobs. It is who is in the room when they do, and who is shown the door before the new room is built.
There is a prediction circulating that work itself could become optional within ten to twenty years. Set aside who said it. The claim deserves scrutiny on its own terms, and it fails the test, because it mistakes the disappearance of tasks for the disappearance of need. A society does not become leisured because machines can fold laundry. Someone owns the machines. Someone sets the price of the labour they replace. “Optional” is a word for people who already own the robot, not for the people the robot was bought to replace.
The China lens sharpens all of this. While Western commentary debates whether work is ending, Chinese firms are answering a narrower and more useful question: what, precisely, can a machine do reliably enough to deploy in public tomorrow. Unitree drills its G1 through brutal training. Automated robot kiosks are already trading across Chinese high streets, quietly reshaping small-scale retail service. The difference is not vision. It is that one hemisphere is philosophising about a decade away, and the other is booking the shelf space now.
What to watch. Watch the forecasts of the people who build these systems, not the pundits who sell books about them. When engineers inside the labs keep shortening their own timelines, quarter after quarter, that is the signal. A pundit’s prediction costs nothing. A builder’s revised estimate is a confession that the thing is closer than they last admitted, including to themselves.
The Roth Read. Stop planning for the timeline you were given, because the people building this keep tearing theirs up. The right question for your business is not “will robots take these jobs” but “when the task goes, is my person still in the room, or already out of it.” Whoever owns that answer owns the workforce of the next decade. Make sure it is you, and make sure your people know it is you.