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The US-China AI race doesn’t need a winner — it needs rules

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Cite

Perry, D. (2026, September 21). The US-China AI race doesn’t need a winner — it needs rules. Washington Examiner. https://www.washingtonexaminer.com/op-eds/4732748/us-china-ai-race-regulation/

Dated when The Aporia collected the article, usually within hours of publication. Check the original for its exact date and byline.

Washington Examiner · collected 2026-09-21 · by Dan Perry

Quick Summary

The article discusses concerns over the rapid development of artificial intelligence (AI) in the context of a global competition between the United States and China, with fears that regulatory actions could give China an advantage. Former President Donald Trump and current House Speaker Mike Johnson have expressed resistance to slowing AI advancements due to potential loss of competitive edge to China. Bill Gates has emerged as an advocate for cautious AI development, proposing policies such as designating certain jobs as "Human Reserved" and implementing taxes on robots and AI tokens to protect human employment and social stability.
Written by AI on 2026-09-21, from this article's own text only (the story summary below draws on all the coverage).

AI analysis

Story summary

We are experiencing a global anxiety over artificial intelligence (AI), with researchers warning about systems potentially escaping human control and tech executives advocating for slowing down development. In Washington, debates over regulating AI have intensified. Concerns include job displacement, safety risks, environmental impacts from data centers, and the concentration of wealth and power. House Speaker Mike Johnson recently stated that any slowdown in AI development could give China an advantage. President Donald Trump previously declared "whoever wins AI wins," suggesting a competitive edge is crucial. On September 24, Trump is scheduled to meet with Chinese President Xi Jinping, where AI regulation might be discussed. Billionaire and Microsoft co-founder Bill Gates has emerged as an unlikely advocate for more cautious AI development, emphasizing the critical choices we face in this era.

Written for “US China AI Competition Rules” on 2026-11-01, grounded in this article and the 0 other(s) covering the same event.

Story

📰 US China AI Competition Rules
Politics · 1 article(s) covering the same event.

Compared with similar articles

This article reads leans left and hedges 10% of its claims. Each row says how that neighbour differs.
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Hedges 8 of 41 claims Outlet record 64/100
“The articles discuss similar themes of US-China competition in AI but describe different aspects and contexts, not a single specific occurrence.”
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Hedges 2 of 15 claims Outlet record 70/100
“Article A discusses broader anxieties and debates around AI regulation and competition between the US and China, while Article B reports on a specific coalition of twenty nations calling for global oversight during a UN summit.”
Semafor
Hedges 0 of 4 claims Outlet record 60/100
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⚖️ Leans left Hedges 6 of 43 claims Outlet record 60/100
“The articles discuss similar themes but do not describe a single specific incident or occurrence. Article A focuses on the global AI debate and concerns over China's potential lead, while Article B discusses US and Chinese responses to calls for an AI slowdown.”
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⚖️ Leans left Hedges 4 of 41 claims Outlet record 70/100
“The articles discuss similar themes but describe different aspects and contexts of the AI policy debate, without clearly referencing the exact same incident or time.”
How this article was measured signals, leaning charts, publisher record, byline, topics and claims

Signals How these are calculated →

Claims extracted
60
sentences that state something as happening or true
Uncertain
10%
6 of 60 hedged ("reportedly", "may", "according to")
Leaning
Leans left
of the writing, not the subject · beta estimate
Publisher signals
70/100
Washington Examiner's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Politics
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-09-21 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Washington Examiner · 3863 article(s) · 7 correction(s) detected
Running correction rate · 7 correction(s)

Who wrote this

Dan Perry
3 article(s) here · 1 carrying a prediction
🔮 We are in the middle of what might be called a global AI freakout: Researchers warn of systems escaping human control, tech executives propose slowing their own frontier models, and Washington is consumed by debates over regulation.
🔮 China may welcome a conflict that frustrates Washington, but it does not benefit indefinitely from chaos in the Persian Gulf.
2026-09-19 · assertive framing · China is fueling the Iran War — can Trump stop them?
🔮 Seventy-one percent of Americans now believe AI will result in fewer jobs over the next 20 years — and statements from tech barons themselves constantly fuel this.
Also by Dan Perry
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

America China House Luddites Washington

Subjects

Gates PERSON · 4× China GPE · 3× Luddites NORP · 3× America GPE · 2× Luddite NORP · 2× Chinese NORP · 1× Donald Trump PERSON · 1× House ORG · 1× Mike Johnson PERSON · 1× Washington GPE · 1×

Narrative

The great question of the AI age is whether governments still possess the confidence to direct technological change toward human purposes — and whether Washington and Beijing can recognize that they share at least some of those purposes.
framing: assertive · carried by 1 article(s) · first seen 2026-09-21
🔮 We are in the middle of what might be called a global AI freakout: Researchers warn of systems escaping human control, tech executives propose slowing their own frontier models, and Washington is consumed by debates over regulation.
2026-09-21 · Washington Examiner
The US-China AI race doesn’t need a winner — it needs rules · assertive framing

Claims (60 extracted, 6 hedged)

We are in the middle of what might be called a global AI freakout: Researchers warn of systems escaping human control, tech executives propose slowing their own frontier models, and Washington is consumed by debates over regulation. uncertain
Washington → call → regulation
Anxiety over jobs, safety, data centers, and the concentration of wealth and power is coalescing into a huge backlash. asserted
Anxiety → coalesce → backlash
Hovering over every proposal for restraint is China. asserted
China → hover → restraint
If America slows down, the idea goes, China races ahead. asserted
China → slow → ?
House Speaker Mike Johnson put it plainly this week, saying there can be no moratorium on AI development because America would lose its edge to China. asserted
America → put → China
President Donald Trump, who has said “whoever wins AI wins,” is scheduled to meet Chinese President Xi Jinping on September 24, with AI expected on the agenda. asserted
AI → say → agenda
He should rethink his maximalist position, which projects indifference to the welfare of his citizens. asserted
which → rethink → citizens
The meeting with Xi offers a chance to test whether the AI race really must proceed without brakes. asserted
race → offer → brakes
Into this uproar has stepped an unlikely advocate of restraint — billionaire Bill Gates. asserted
advocate → step → restraint
On August 26, the Microsoft co-founder published “The turbulent AI era is here. asserted
era → publish → August
The choices we make now are critical.” asserted
we → make → ?
Gates remains enthralled by AI’s possibilities in medicine, science, and education, yet believes its ability to substitute for human cognition could make this technological revolution different. uncertain
revolution → remain → cognition
New jobs will emerge, he writes, but without the right policies, “there will be far fewer than exist today” — potentially upending a civilization essentially built around human employment. asserted
he → emerge → employment
Gates proposes designating some occupations “Human Reserved,” comparing them to nature reserves society preserves despite the economic value of developing them. asserted
society → propose → them
He cites the “irreplaceably human” caregivers who tended his father through Alzheimer’s and also proposes taxing robots and AI tokens to discourage some worker replacement and finance a stronger safety net. asserted
who → cite → net
Most strikingly, he accepts some resulting economic inefficiency, arguing that conventional measures overlook the broader value of work. asserted
measures → accept → work
Call this the Gates Doctrine: A machine’s ability to replace a human being more efficiently does not settle whether society should let it. asserted
society → call → it
This makes Gates, of all people, something resembling a Luddite. asserted
Gates → make → Luddite
The word today evokes someone baffled by an iPhone or reflexively hostile to technology, but the historical Luddites were skilled English textile workers whose trades required years of apprenticeship. asserted
trades → evoke → apprenticeship
They worked with machinery and understood it intimately. asserted
They → work → it
Their rebellion concerned machinery used to replace skilled labor with cheaper workers, depress wages, and transfer productivity gains to factory owners. asserted
rebellion → concern → owners
Their argument was ultimately about the purpose of technology: Greater output did not automatically constitute progress when the people producing it became poorer and less secure. asserted
people → constitute → it
The Luddites eventually lost more than an economic battle. asserted
Luddites → lose → battle
They lost the argument over how we think about technology. asserted
we → lose → technology
A powerful story took hold: Technological progress is inevitable and always ultimately beneficial, because of greater efficiency and productivity (of whoever’s working). asserted
whoever → take → efficiency
Sure, machines destroy jobs, but displaced workers find new and better ones; productivity rises, society grows richer, and the market somehow produces enough work for everyone. asserted
market → destroy → everyone
There is an almost religious faith embedded in this idea — that, however wrenching the disruption, all will be fine. asserted
all → be → disruption
For two centuries, history seemed to vindicate that faith. asserted
history → seem → faith
The steam engine, electricity, and the digital computer destroyed countless occupations, yet mass employment survived, and living standards rose spectacularly. asserted
standards → destroy → occupations
Against that record, the Luddites came to look ridiculous: men swinging hammers against the unstoppable march of progress. asserted
Luddites → come → progress
Artificial intelligence now resurfaces the central Luddite question: What if this time really is different? asserted
time → resurface → question
Tech maximalists still answer with the technological inevitability idea: super-intelligent AI is coming no matter what; jobs will disappear; companies will automate; everyone will adapt. asserted
everyone → answer → idea
This narrative turns thousands of decisions made by governments, corporations, universities, investors, and engineers into some sort of law of nature. asserted
narrative → turn → nature
Governments financed research, universities trained scientists, investors supplied capital, and companies built the models and data centers. asserted
companies → finance → models
The institutions that accelerated AI development also possess considerable power to steer it. asserted
that → accelerate → it
I would go beyond the Gates Doctrine to a broader proposition. asserted
I → go → proposition
Call it, with self-indulgence unbecoming to a columnist, the Perry Doctrine: Technology is not destiny, and efficiency is not an end in itself. asserted
efficiency → call → itself
Both are instruments whose value derives from their contribution to human welfare. asserted
value → derive → welfare
Societies can encourage useful technologies, steer their development, slow applications demanding more thought, and prohibit those whose costs overwhelm benefits. asserted
costs → encourage → benefits
Applied to AI, this can still be enthusiastically pro-technology. asserted
this → apply → AI
…and 20 more, not listed.
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