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While we drown in AI slop, China treats AI as infrastructure

ended 04. February 2026

It is becoming increasingly difficult to ignore the widening chasm between how the West and the East are approaching Artificial Intelligence. While Silicon Valley and its imitators are currently flooding the consumer market with “AI slop”, endless generative wrappers and features nobody asked for, China’s 15th Five-Year Plan is treating the technology with the seriousness of a utility.

According to the latest policy roadmap from the CCP, AI is now viewed not as a product, but as “fundamental infrastructure”, explicitly categorised alongside water, electricity, and coal.

This isn't just semantics; it is a humiliating reality check for Western tech strategy.

While we are busy celebrating “automation theatre”, deploying chatbots that hallucinate and frustration-inducing automated support lines, China is focused on "embodied AI" and industrial integration. They aren't trying to write your marketing emails; they are trying to wire intelligence into the physical "body" of their manufacturing and logistics sectors.

I have spent years fixing the mess left behind by corporate giants who bought into the "move fast and break things" hype. What we are seeing now in the UK is a chaotic scramble to monetise half-baked models to keep investors happy. In contrast, a 15-year strategic plan might sound rigid to the Western ear, but right now, that "forward-looking" clarity looks a lot more practical than our current approach of throwing spaghetti at the wall.

The quote from MiniMax executive Huang Xiaozhen sums it up perfectly: "Upstairs and downstairs are upstream and downstream." They are building ecosystems where the model developers sit next to the factory owners. We are building ecosystems where the model developers sit next to the venture capitalists.

If we continue to treat AI as a shiny consumer toy while our competitors treat it as the power grid for the next industrial revolution, we won't just lose the market; we will lose the ability to function as a modern economy.

We'd like your views:

  • Is our obsession with consumer-facing Generative AI blinding us to the real value of industrial AI?
  • Can Western innovation survive without the kind of long-term "infrastructure" planning we see in the East?
  • Are we building tools that actually solve economic problems, or just burning energy to create more digital noise?
  • How do we shift the UK mindset from "AI as a feature" to "AI as a utility"?

2 responses from the Newspage community

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Rohit Parmar-Mistry
Founder at Pattrn Data
The West is currently obsessed with building a digital 'ghost' in the cloud, spending billions on LLMs that write poetry but can't sort a warehouse. This isn't innovation. We are blinding ourselves to the real value of AI by treating it as a toy rather than fundamental infrastructure.

In our AI Audits we consistently find digital noise. Firms bolt on chatbots to crumbling processes and wonder why productivity is shot. To survive, the UK must shift its mindset: AI shouldn't be a shiny 'feature' you buy; it should be a utility, a physical nervous system for our industries that handles the mechanical and the rote.

True human-centric automation doesn't replace the foreman; it gives them a superpower. It treats AI like electricity, something that runs in the background to empower the humans to do what they do best: exercise judgment and empathy.

The billionaires are betting on the cloud to automate thought. The real winners will be those who bet on the shop floor to empower action.
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Colette Mason
AI Ethics Consultant at Clever Clogs AI
China can afford long bets because it can make people live with them. Democracies have to keep re-earning consent, which makes infrastructure harder and hype easier.

China’s edge is this continuity: it can decide, fund, enforce, and stick with painful projects across a decade, because the political cost of being wrong is managed very differently. The UK can innovate quickly, but it struggles to sustain direction once headlines fade and ministers move on.

Treating AI as infrastructure means accepting the boring disciplines: procurement that survives elections, accountability that survives vendor and minister churn, and metrics that punish failure modes, not just reward razzmatazz. If a system can’t survive a bad day, a regulatory inquiry, or a human override, it isn’t a utility, it’s smoke and mirrors.

So yes, the UK has talent. What it lacks is institutional memory. Until we build mechanisms that outlast a funding cycle, we’ll keep mistaking activity for progress.