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Edgar Perez Global Speaker, Richard Loke Swee Kwong, 👍

AI from China™, right!When dependence becomes a strategic risk, self-reliance turns into critical national infrastructure. Excellent insight!

Interesting approach of understanding why countries act like they do it, each country has own way of seeing things and strategies. Generalizing them is fatally.

Paul Felix Reinsch, very good point. Each country truly has its own unique strategies and worldview, generalizing can be risky. Thanks for this thoughtful reminder!

Chip access is often treated as the end state when it is really just one layer in a much larger stack. What matters more is how ecosystems adapt around constraints rather than the constraint itself.

common assumption that strategic intent directly translates into execution speed. But large scale industrial independence usually follows uneven progress across sectors, not coordinated acceleration.

Daniel Bode, right!Chip access is just one layer; the real power is in how ecosystems adapt and innovate around constraints. Excellent insight!

Susanne Hahn, right!Strategic intent rarely equals fast execution, true independence grows through uneven progress across sectors. Excellent insight!

LaRon Williams, very kind of you.

Are you managing AI agents or building an ecosystem? ⚡ https://www.linkedin.com/posts/edgarperez_stop-treating-ai-agents-like-digital-employees-share-7462797811131047936-xnoX

Edgar Perez Global Speaker, absolutely, it is all about ecosystems in the Agentic AI era. Thank you.

If the world's richest man can lose, what makes you think your business can survive hesitation? ⚡ https://www.linkedin.com/posts/edgarperez_the-worlds-richest-man-just-got-publicly-activity-7462423053675954177-w--Q

Edgar Perez Global Speaker, totally. No business will be able to survive hesitation. Let's get going.

Another reason why China wants Taiwan so badly - built- in chip manufacturing superiority!

Bruce Baumann, well, Taiwan’s chip manufacturing edge is a huge strategic piece in the puzzle. Thanks for this sharp insight!

Everybody keeps talking about chips. But chips alone do not solve: identity, trust, permissions, compliance, fraud, or autonomous decision liability. That’s why the AI race is quietly shifting from compute……. to infrastructure. Because eventually every powerful AI system runs into the same wall Who controls the identity? Who authorizes the action? Who governs the permissions? Who freezes execution if something goes wrong? The companies that solve those layers will quietly become some of the most important companies in the world. A lot of people are still chasing apps. Others have already been building the rails underneath the future itself. Without asking permission first. 😉

They first needs to demonstrate that your AI can operate at scale without infringing copyright, relying on taxpayer subsidised infrastructure, or exposing users to harmful outcomes and costly litigation.

“NVIDIA has already lost China” sounds punchy, but it collapses under the first serious question: lost to what? China wants autonomy. Everyone knows that. Wanting it is not the same as having it. AI at scale is not just silicon; it is CUDA, networking, memory bandwidth, reliability, developer tooling, supply chains, model optimization, and years of operational learning. Huawei and Baidu matter, but “China wants them to win badly” is not an argument that they have already won. Buying NVIDIA chips while racing to replace them is not evidence NVIDIA lost. It is evidence NVIDIA remains the benchmark China still has to chase. If domestic alternatives were truly enough, Beijing would not care so much about access to H200s. This is not a noodle story. It is a dependency story. And right now, the dependency still runs toward NVIDIA, not away from it. The real mistake is not using a Western lens. It is confusing China’s strategic ambition with present-day technical reality.

Per Barre. the evidence clearly indicates that securing access to H200s is no longer a primary focus for Beijing. Am I missing something?

Darren Holland, building AI that scales responsibly is the real challenge ahead. Thanks for this sharp insight!