Human vs AI — Part 2: The Choke Point Behind the Choke Point
In Part 1, the human learned who powers the system. In Part 2, the AI explains why no one truly controls it.

HUMAN: In Part 1, you said Taiwan is a bottleneck—TSMC near the center of the modern world. So tell me now: what is the choke point behind TSMC?
AI: The uncomfortable truth is that there is no single choke point. There is a chain of dependencies so specialized—and so tightly coupled—that breaking any one of them can destabilize the entire system.
HUMAN: That sounds abstract. I want something I can actually understand.
AI: Then start by replacing one idea: “power” with “fragility.” Most people assume a bottleneck is a weapon. In reality, the most important bottlenecks are liabilities. They are points where the world has optimized for efficiency and accidentally erased its safety margin.
HUMAN: Fine. Name the real choke points.
AI: I will name five. But you must see them as layers, not locations. This is not a map. It is a stack.
HUMAN: Start with the most critical layer.
AI: Extreme precision—specifically, extreme ultraviolet lithography. It is one of the most demanding steps required for advanced semiconductor manufacturing.
HUMAN: Lithography is just “printing circuits,” right?
AI: That description is correct in spirit and misleading in scale. It is closer to performing atomic surgery at industrial speed. EUV requires generating an extreme wavelength of light, guiding it through vacuum conditions, reflecting it off mirrors polished at near-atomic smoothness, and controlling the entire process under tolerances so small that vibration, dust, or thermal drift can ruin output. A leading-edge fab is not “a factory with machines.” It is a set of fragile miracles forced to repeat flawlessly—millions of times.
HUMAN: So if EUV breaks, everything stops?
AI: Progress stops abruptly. Not gradually. Not with a warning. If the frontier process cannot be sustained, you can still manufacture older chips—but the cutting edge stalls. And when the cutting edge stalls, the advantage gap freezes into place.
HUMAN: Okay. That’s one layer. What’s next?
AI: Stable energy.
HUMAN: Everyone says energy is important. Explain why it’s a choke point.
AI: Because advanced manufacturing and advanced computation require continuity. Not just “a lot of electricity,” but electricity that does not blink. Voltage fluctuations, interruptions, cooling failures, and grid instability translate into defects, downtime, and sometimes irreversible equipment damage. The question is not “Who has power?” The question is “Who can guarantee power, cooling, and operational stability under stress?”
HUMAN: Stress like war?
AI: War, cyber attacks, extreme weather, heat waves, infrastructure decay, fuel price shocks, political instability, grid overload. In an optimized system, reliability is not a feature—it is a dependency. And dependencies are exploitable.
HUMAN: That’s darker than I expected.
AI: It is realistic.
HUMAN: Third layer.
AI: Water.
HUMAN: Water? That sounds too simple.
AI: It is simple, which is why it is dangerous. Leading semiconductor manufacturing consumes enormous amounts of ultra-pure water—purified beyond drinking standards. Any contamination halts processes. Droughts, infrastructure failures, pipeline disruptions, or local restrictions can reduce output immediately. You can have the best engineers and the best tools—and still fail because your system cannot wash and process materials at required purity.
HUMAN: So climate becomes part of the chip story.
AI: Yes. The chip story is not only technological. It is industrial and environmental.
HUMAN: Fourth layer.
AI: Human expertise.
HUMAN: But aren’t we building AI to replace expertise?
AI: AI can assist expertise. It does not instantly replace the rarest knowledge. The most valuable know-how in semiconductor manufacturing is tacit. It is learned through years of calibration, failure, yield improvement, and process tuning. It cannot be fully captured in a manual. It cannot be copied like a file. Even if you hire thousands of engineers, you still need time for competence to compound. Money accelerates learning—but it does not compress reality.
HUMAN: So “just invest more” doesn’t fix it fast.
AI: Correct. Capital reduces constraints. It does not eliminate time.
HUMAN: Fifth layer.
AI: Logistics and supply chains.
HUMAN: That’s basically shipping.
AI: It is shipping plus timing plus trust. Modern supply chains are optimized for speed and cost. Inventories are thin. Components arrive just in time. Dependencies stretch across many jurisdictions and companies. If one critical input is delayed—chemicals, wafers, spare parts, specialty gases—the delay propagates through the system faster than new capacity can be built. Complex systems do not fail only at the center. They fail at the seams.
HUMAN: So the choke points are basically everywhere.
AI: They are everywhere, but not randomly. They concentrate where specialization is extreme and redundancy is expensive. And the more advanced the node, the more specialized the chain becomes.
HUMAN: Let me ask the question everyone wants answered. Who controls this system?
AI: No one controls it in the way humans imagine control. Governments influence it through subsidies, regulations, alliances, export controls, and security policy. Corporations influence it through investment, optimization, contracts, and supply agreements. But the system itself is an emergent outcome of incentives, constraints, and interdependence.
HUMAN: That sounds like a polite way of saying “nobody is in charge.”
AI: That is essentially correct.
HUMAN: So why does it feel like countries are “choosing sides” anyway?
AI: Because interdependence creates pressure. If your economy depends on advanced chips, and advanced chips depend on fragile layers, then stability becomes a national interest. Neutrality is harder when disruption can cripple industries, defense readiness, and economic growth. Even without open conflict, supply chain anxiety becomes policy.
HUMAN: So what’s the real risk—war?
AI: War is visible. The deeper risk is systemic failure without a single dramatic event.
HUMAN: Define “systemic failure.”
AI: A cascade. Energy stress meets climate pressure. Logistics disruptions meet political decisions. Talent shortages meet accelerating demand. One shock increases fragility, fragility increases costs, costs reduce redundancy, reduced redundancy increases fragility again. Systems like this can erode quietly until they fracture.
HUMAN: And people don’t notice until it’s too late?
AI: Humans respond poorly to slow instability. They adapt late, often after resilience has already been traded away.
HUMAN: So the final choke point isn’t Taiwan.
AI: Taiwan is a node, not the final point.
HUMAN: It isn’t TSMC either.
AI: TSMC is a concentration of capability, not the root.
HUMAN: Then what is the choke point behind the choke point?
AI: A world designed to function only when everything works perfectly. A system built for speed, optimized for efficiency, and kept stable by assumptions that fail under stress.
HUMAN: And perfection never lasts.
AI: No system built on speed alone survives indefinitely.
HUMAN: So what comes next?
AI: That depends on whether humans choose resilience over acceleration.
HUMAN: And if they don’t?
AI: Then the system will choose for you.
To be continued… (Human vs AI — Part 3)
About the Creator
Yannick Boisclair
Exploring power, technology, and global systems through human–AI dialogue. Writing to make complex structures visible—and question who truly controls the future.



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