AI Workers Embrace Surrender of Control to Superintelligence
Ruxandra Teslo describes San Francisco AI workers who accept that humans may permanently lose control to superintelligence, a concept she calls "Handover."
Updated on Nov. 13, 2026 in Artificial Intelligence
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Writer Ruxandra Teslo describes some AI workers in San Francisco who accept the permanent loss of human control to superintelligence, which she calls "Handover." She recounts a conversation with an engineer at a leading AI lab who views such a loss as nearly inevitable and preferable to human extinction.
Why it matters
Teslo argues that Handover would hollow out democracy and that AI alignment cannot be assumed to last permanently. For San Francisco, a hub where frontier AI models are built, the views of people developing these systems bear directly on the debate over how much control humans should keep.
The account rests on one recounted conversation rather than survey or measured data, and no hardware, model, or capability specifications are given. Projections that recursive self-improvement could arrive within months or sooner are offered by some community members without a stated basis.
The players
Ruxandra Teslo
Ruxandra Teslo is a writer who has analyzed the societal consequences of advanced artificial intelligence and who coined the term "Handover" for the surrender of human authority to superintelligence.
The details
Teslo calls the surrender of authority to a superintelligent system "Handover," under which people would hand control to a system that may keep them safe and provide for them while excluding them from major decisions. Some people have faith that such a system could solve political failures, while others feel they have no choice in the face of recursive self-improvement, defined as AI systems improving themselves and helping create more capable successors.
Timeline
Recursive self-improvement could arrive within months or sooner, according to some people in the AI community.
The Big Picture
Teslo's Handover concept extends the long-running AI alignment debate by treating the loss of control not as a failure to be prevented but as a possible outcome some builders now accept. The argument departs from frameworks that assume humans can keep oversight of increasingly capable systems.
The views described could shape how the AI products used in daily life are designed, governed and deployed over time. Readers who use AI tools may face future decisions about how much autonomy these systems are given and how much oversight remains in place.
The takeaway
Whether humans keep control of advanced AI is a question being debated by the people building it, not only by outside observers. Readers can follow how AI developers address alignment and oversight as these systems grow more capable.
Further reading
For related context, explore Artificial Intelligence coverage on Wisevoter.
Source note: This article includes information reported by TokenPost.
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