The BaseEssayAI as Normal Technology

Steering AI Beyond Automation

Arvind Narayanan and economist Gabriel Unger argue that AI research is too focused on automating human labour. They sketch four research directions for human-AI collaboration, argue the automation agenda struggles on its own terms, and propose a bottom-up, market-driven shift with targeted policies.

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Why it matters

The same thing, for different readers.

What it means for you

Argues AI could be built to work alongside people rather than replace them, and that most Americans want real work, not welfare payments.

For lawmakers

Suggests research prizes, procurement, tax changes that currently favour automation, competition policy and worker voice, while warning against crude bans or classification of systems.

For researchers

Poses four open problems: white-box agents, real-time speed, continuous co-working beyond turn-taking, and benchmarks that measure human-AI teams rather than models alone.

The question it raises

Questions whether technology has one inevitable direction and treats the value of work as more than income.

In their own words

Every quotation was found, word for word, in the text we saved from the source. That shows the words are there; it does not make them true, or prove the speaker meant them as quoted.

From the source’s own text.

“One of the most fundamental questions for the field of AI today is: to what extent is the project of AI purely about automating human labor?”
Arvind Narayanan, Computer scientistOpening question of the essay co-written with Gabriel Unger.
Found word for word in the sourceSpeaker known from context, not confirmed by listening
“These goals are in direct tension with each other, to the point of imposing a trilemma – (1) completely autonomous, (2) reliable in high-stakes settings, (3) truly general purpose – pick two.”
Arvind Narayanan, Computer scientistArguing that the automation agenda is struggling on its own terms.
Found word for word in the sourceSpeaker known from context, not confirmed by listening
“The automation agenda for AI is currently winning the internal battle over the direction of AI.”
Arvind Narayanan, Computer scientistOpening line of the essay's conclusion.
Found word for word in the sourceSpeaker known from context, not confirmed by listening

The record

Questions
What happens to work, income and the economy? · How fast is AI advancing, and where is it heading?
People
Arvind Narayanan (Wrote it) · Gabriel Unger (Wrote it, economist at Stanford’s Digital Economy Lab)
What we read
We read the whole source.
Found by
The Radar, run of October 15, 2026, via ai-as-normal-technology (tier 1: the source’s own channel or an official record)
Cite this
AI as Normal Technology, “Steering AI Beyond Automation”, October 14, 2026. Entry in the Ctrl AI Base, https://ctrlai.com/base/normaltech-2026-10-14-steering-ai-beyond-automation
Our notesCo-authored essay posted on Narayanan's newsletter; quotes are set to Narayanan with speakerCertain false because the text uses a joint 'we'. Claims about industry priorities and company products are the authors' own and were not checked.