HANDO Labs and the price of physical skill
A startup called HANDO Labs is asking people to film themselves fastening buckles and sorting boxes, and to accept payment in tokenised exposure to Nvidia and Apple stock. The company says the pitch has already pulled 1.2 million views. It would be easy to file this as a novelty. I think it is better read as the opening bid in the most consequential labour negotiation of the decade, because it puts a price, any price, on work the industry has never had to buy before.
The reason is scarcity. Text data is largely exhausted and synthetic data is a closed loop, which leaves physical manipulation data, the ordinary competence in human hands, as the one input the AI industry cannot manufacture for itself. Whoever sets the rate, the rights and the residuals on that data is pricing something far larger than a dataset: the physical skill of millions of people, skill the resulting systems will then perform without them.
Paying those contributors in tokenised stock instead of wages is not inclusion. It is a way to avoid calling them workers, with a securities question bolted on where an industrial relations question belongs. If the people supplying the data arrive as investors rather than employees, then minimum wages, conditions and collective bargaining never enter the room, and the risk of the venture is transferred to the people least able to price it.
Markets harden around their opening structure. If award wages, labour law and royalty frameworks are ever going to reach this market, the window is now, while the terms are still being written, not after they have been presented as simply the way the industry works. Once a rate card exists, unwinding it stops being a policy question and becomes a property fight. And for every executive whose automation business case quietly assumes this input stays cheap, the rate being set right now is the number that matters.
Who is negotiating on behalf of the people supplying this data, and on what terms?
Source: https://lnkd.in/gFTshuMN
#AIGovernance #FutureOfWork #DataRights