Will China beat the US in AI?

Read the original at Dawn ↗
Dawn · collected 2026-10-14 · by Asad Baig

Quick Summary

The article discusses a race between China and the United States to lead in artificial intelligence (AI). In China, people are being paid to perform repetitive tasks while wearing virtual reality headsets and exoskeletons to generate data for training humanoid robots. Stanford’s 2026 AI Index shows that while the US still leads with more private investment and notable models, the performance gap between leading US and Chinese models is narrowing significantly. The article argues that China's strategy of integrating AI into its physical economy through industrial robotics and specialized real-world data collection could give it a long-term advantage over the United States.
Written locally by qwen2.5:14b on 2026-10-14, using this article's own text rather than the other coverage of the same event (that is the story summary below).

AI analysis runs on qwen2.5:14b, locally

Story summary

As of October 14, 2026, a debate has emerged about whether China or the US will dominate artificial intelligence (AI). In China, people are being paid to perform repetitive tasks like folding clothes and wiping tables while wearing virtual reality headsets and exoskeletons, generating data for AI training. While the US maintains a strong lead in AI investment and model development—Stanford's 2026 AI Index reported 59 notable American models versus China’s 35 in 2025—the Chinese government's significant spending on AI through public funds is narrowing this gap. The race is seen as crucial for global dominance, but unlike the Cold War's space race, it lacks a clear endpoint.

Written for “China Versus US In AI” on 2026-10-14, grounded in this article and the 0 other(s) covering the same event.
Why this leaning score
The article's own words the score was based on. Each is quoted verbatim and was checked against the article text before being stored, so you can find it in the original.
Reading Leans left (beta estimate) Confidence high
Leaning: leans left for article 78368 (high confidence, 4 verified quotes) · logged 2026-10-14

Story

📰 China Versus US In AI
Technology · 1 article(s) covering the same event.

Compared with similar articles

This article reads leans left and hedges 13% of its claims. Each row says how that neighbour differs.
South China Morning Post
⚖️ leaning not scored 🔴 25% hedged 1 of 4 📰 publisher trust 67
“While both articles discuss humans training robots for various tasks, they differ in focus and scope—Article A specifically highlights the daily routine of robot trainers, whereas Article B uses it as an example to discuss broader geopolitical implications of China's AI advancements.”

Cite this article

Baig, A. (2026, October 14). Will China beat the US in AI? Dawn. https://www.dawn.com/news/2037054/will-china-beat-the-us-in-ai

Dated from the outlet's own feed. Check the original for its byline.

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
13%
8 of 60 hedged ("reportedly", "may", "according to")
Leaning
Leans left
of the writing, not the subject · beta estimate
Publisher signals
71/100
Dawn's corrections and hedging, across everything collected from it. Not a measure of accuracy.
Outlets on this story
1
Technology
Same framing elsewhere
1
articles that frame the event the way this one does
Analyzed 2026-10-14 · how these are computed

How this is being covered How these are calculated →

Article leaning vs. publisher reliability
Source leaning vs. consistency

Publisher

Dawn · 1625 article(s) · 3 correction(s) detected
Running correction rate · 3 correction(s)

Who wrote this

Asad Baig
2 article(s) here · 1 carrying a prediction
🔮 It may seem like an odd way to begin a story about geopolitics, but like this piece, it offers important clues about who is better placed to ‘win’ the AI race — China or the US?
2026-10-14 · assertive framing · Will China beat the US in AI?
🔮 His fear that increasingly autonomous systems could threaten humanity before the end of the decade is not a scientific forecast.
2026-09-21 · assertive framing · AI safety paradox
Also by Asad Baig
AI safety paradox
2026-09-21 · Dawn
Nothing else under this byline is closely related to this article, so these are simply their most recent.

Topics

America American China Stanford the Cold War’s

Subjects

China GPE · 13× America GPE · 2× American NORP · 2× Chinese NORP · 2× IEA ORG · 2× Donald Trump PERSON · 1× Michael Kratsios PERSON · 1× Pakistan GPE · 1× Stanford ORG · 1× Trump PERSON · 1×

Narrative

On the flip side, America’s AI boom grew out of an internet economy built on years of accumulated online content and behavioural data, where major platforms are accused of “vast surveillance” by the FTC, with users having little control over their data’s use.
framing: assertive · carried by 1 article(s) · first seen 2026-10-14
🔮 It may seem like an odd way to begin a story about geopolitics, but like this piece, it offers important clues about who is better placed to ‘win’ the AI race — China or the US?
2026-10-14 · Dawn
Will China beat the US in AI? · assertive framing

Claims (60 extracted, 8 hedged)

IN China, people are being paid to fold clothes, wipe tables, and open microwave doors. asserted
people → pay → doors
Wearing virtual reality headsets and exoskeletons, they repeat the movements hundreds of times so humanoid robots can learn them. asserted
robots → wear → them
Across China, similar centres have people performing other painfully ordinary tasks. asserted
centres → have → tasks
The work looks mundane, but it produces precious data. asserted
it → look → data
It may seem like an odd way to begin a story about geopolitics, but like this piece, it offers important clues about who is better placed to ‘win’ the AI race — China or the US? uncertain
who → seem → race
The winner will have a much larger say in the next world order. asserted
winner → have → order
Donald Trump insists America must win the AI race, a contest his administration has likened to the Cold War’s ‘space race’. asserted
administration → insist → race
The analogy is attractive, but Michael Kratsios, Trump’s science adviser, later conceded the obvious problem. asserted
Kratsios → concede → problem
Unlike the race to the moon, this one has no finish line. asserted
one → have → line
On the conventional scoreboard, the US remains formidable. asserted
US → remain → scoreboard
Stanford’s 2026 AI Index counts 59 notable American models in 2025 against China’s 35. asserted
Index → count → 35
US private AI investment exceeded China’s 23 times over, though this understates Chinese spending through government funds. asserted
this → exceed → funds
Yet the report says the model performance gap has “effectively closed”, as of March 2026, the leading US model was ahead by just 2.7 per cent. asserted
model → say → cent
Pakistan does not need to win the AI race. asserted
Pakistan → need → race
It needs to win from AI. asserted
It → need → AI
China may be building its advantage by pushing AI into the physical economy. uncertain
China → build → economy
In March, the US China Economic and Security Review Commission ‘warned’ of a reinforcing loop in China. asserted
Commission → warn → China
Cheap, open models spread into factories, logistics, and robotics. asserted
models → spread → factories
Their use generates specialised real-world data, which then improves the models. asserted
which → generate → models
That could create an advantage proprietary American systems may struggle to match, even if they remain stronger on benchmarks. uncertain
they → create → benchmarks
Most importantly, China had classified data as a factor of production in 2020. asserted
China → classify → 2020
Factories are paid for access to workers wearing cameras and sensors, while others earn money performing household tasks to train robots. asserted
others → pay → robots
On the flip side, America’s AI boom grew out of an internet economy built on years of accumulated online content and behavioural data, where major platforms are accused of “vast surveillance” by the FTC, with users having little control over their data’s use. asserted
users → grow → use
I am not suggesting China has a better privacy regime. asserted
China → suggest → regime
It does not. asserted
It → do → ?
The point is that China is producing, pricing, and feeding data back into industry, building an ecosystem that could give it an immense edge over the US. uncertain
that → produce → US
And it already has the machinery. asserted
it → have → machinery
China had more than two million industrial robots operating by 2024 and installed 354,000 in 2025 alone. asserted
China → have → 2025
According to the International Federation of Robotics, China accounted for 59pc of new industrial robot installations worldwide in 2025. uncertain
China → accord → 2025
The real advantage may, therefore, be the ecosystem itself, ie, factories produce robots, robots produce data, data improves AI, and AI improves factories. uncertain
AI → produce → factories
Then comes energy, as I argued earlier in these pages. asserted
I → come → pages
The International Energy Agency (IEA) expects data centre electricity use to nearly double to 950 terawatt-hours by 2030. asserted
use → expect → 2030
Whoever can expand reliable, affordable power fastest will have an edge in building the AI ecosystem. asserted
expand → expand → ecosystem
In the US, data centres are expected to account for nearly half of electricity demand growth to the end of the decade, while natural gas supplies more than 40pc of their electricity. asserted
gas → expect → electricity
Grid delays are pushing developers towards on-site gas generation. asserted
delays → push → generation
But the IEA says ensuring reliable supply requires generating capacity 30pc to 70pc above demand, while turbine shortages may undermine hopes of getting power faster. uncertain
shortages → say → power
To its advantage, China accounts for around 85pc of global solar supply chain production capacity and 80pc of lithium-ion battery capacity. asserted
China → account → capacity
It added nearly 500 gigawatts of renewable capacity in 2025 alone. asserted
It → add → 2025
The idea isn’t to romanticise the figurative ‘Chinese model’, considering they still use coal to supply nearly 70pc of the electricity used by Chinese data centres. asserted
they → romanticise → centres
China manufactures much of the machinery needed to generate and store the next unit of electricity. asserted
China → manufacture → electricity
…and 20 more, not listed.
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