Every time ChatGPT grows, Microsoft, Google, and NVIDIA get richer—but OpenAI is fighting back.
##### Key Takeaways SUMMARY
- OpenAI is frantically trying to break free, but its current operational stack runs on competitors’ infrastructure.
- The true margin remains with the infrastructure owners, but OpenAI’s new strategy is to become a sovereign compute power.
- AI’s growth amplifies the wealth of its suppliers: Microsoft, Google, NVIDIA, Reddit, and now AMD and Oracle.
- We are entering the era of Stackflation — where every layer of the AI stack inflates the cost of the one above it.
The Atlas Revelation
When OpenAI launched ChatGPT Atlas, it appeared to be a step toward autonomy — a self-contained browser powered by AI. But the reality is less revolutionary. Atlas runs on Google’s Chromium engine), the same open-source foundation that powers Chrome. That means every tab, every render, and every user interaction still runs through Google’s codebase.
The dominance of Google’s open-source Chromium project extends across major browsers like Chrome and Microsoft Edge, highlighting OpenAI’s dependency on its competitors’ infrastructure.
Even more paradoxically, Chromium has built-in limitations and evolving policies that restrict automated AI agents from scraping or interacting with certain web structures. In other words, the very software that powers Atlas also controls how freely it can explore the web. Google remains the gatekeeper, even when the AI appears to be autonomous.
This dependence on Chromium is the purest symbol of OpenAI’s hidden reliance. It reveals that even the company attempting to redefine digital intelligence still runs on the frameworks built by its biggest competitors.
That’s why stories like Skywork’s comparison of ChatGPT Atlas vs. Chrome miss the point entirely. They frame it as a competition — which browser is “better” — without realizing that both rely on the same spine. It’s not a battle between Chrome and Atlas; it’s Google versus itself. The illusion of rivalry hides the deeper truth: OpenAI’s so-called independence is structurally impossible as long as it’s running on Chromium.
The web wasn’t built for AI agents. It was built for humans with eyes, mice, and twenty-five years of muscle memory navigating dropdown menus. Most AI companies are solving this mismatch through browser automation — Playwright scripts, Selenium wrappers, and headless Chrome instances that click, scroll, and scrape like a human would. These are not solutions; they’re temporary workarounds.
This system of human emulation is slow, fragile, and expensive. It burns compute to mimic behaviors that AI doesn’t need. It breaks when websites update and gets blocked by bot detection. It’s architectural debt pretending to be infrastructure.
The real solution is to rebuild web access for how AI actually works — direct, semantic, and structured — rather than teaching AI to use human interfaces. Companies like Exa and Linkup are already rebuilding search for vector-based retrieval, while Shopify’s API partnerships with Perplexity show the first signs of a structured access economy.
As AI agents become the primary consumers of web content, the existing web — designed for humans, not machines — will collapse under its own complexity. What comes next is the API layer for the new internet: structured data pipelines, semantic retrieval, and Really Simple Licensing (RSL) — the monetization standard for the AI era.
The Illusion of AI Independence vs. The Pursuit of Sovereignty
Zoom out from the Atlas/Chromium story, and the bigger, more strategic question emerges: who does OpenAI truly depend on to exist as a business? Who controls the supply chains of its profits — not its headlines?
OpenAI’s independence is a branding illusion, but its operational reality is rapidly becoming a war for Sovereign Compute—a direct attempt to break the cycle of infrastructural entanglement.
The Hidden Stack (October 2025 Status)
Layer
Dependency
Why It Matters (Updated)
Compute
Microsoft Azure / Oracle
While Azure remains primary, OpenAI secured a major deal with Oracle to build dedicated “Stargate” data centers, reducing exclusive reliance on Microsoft.
Hardware
NVIDIA / AMD / Broadcom
Actively diversifying hardware supply. Large deals signed with AMD (6GW) and Broadcom to co-develop 10GW of custom, OpenAI-designed AI accelerators.
Browser
Google (Chromium)
OpenAI’s Atlas browser runs on Google’s engine — Google effectively controls AI’s window to the web.
Human Data
Reddit, Stack Overflow, Publishers
The “human signal layer.” Paid licensing deals are inflating the cost of data and giving publishers huge leverage, fueling Stackflation.
Distribution
Apple, Microsoft, the Web
App Store, Windows integration, and browser dominance define where ChatGPT reaches users.
Regulation
U.S. Government + VCs
Export rules, chip controls, and investor terms shape OpenAI’s financial freedom.
Infrastructural Parasitism
Definition: Infrastructural Parasitism is when every layer of an industry extracts value from the one below it, without rebuilding or replenishing the foundation it depends on.
OpenAI doesn’t build a new internet; it metabolizes the old one. The AI economy is a pyramid where each layer feeds on the previous: GPUs feed the cloud, the cloud feeds the model, the model feeds on human content. The result is extraction without regeneration — the digital equivalent of deforestation.
Academic work from Stanford’s Human-Centered AI Institute and MIT’s Internet Policy Lab echoes this reality: AI is not self-sustaining. It consumes compute, labor, and energy faster than they can renew. The open web is the host; AI is the parasite.
Stackflation: The Economic Doom Loop
Definition: Stackflation occurs when every layer of the AI technology stack inflates the cost of the one above it — a chain reaction of dependency inflation.
GPUs rise in price → Azure/Oracle/Stargate costs rise → ChatGPT inference costs rise → API pricing rises → users drop. Each tier adds margin pressure to the next. This is why “AI as a Service” quietly becomes “AI as Rent.”
NVIDIA and Microsoft still profit immensely from OpenAI’s growth, but the new deals with AMD, Broadcom, and Oracle mean the profit is now distributed across a wider ecosystem. As data licensing expands (Reddit, publishers, legal settlements), even the cost of cognition is inflating. AI’s dream of infinite scalability is meeting the limits of finite infrastructure.
The Feedback Loop of Growth (Revised)
Every time OpenAI grows, so do its dependencies, and now, so do its counter-strategies:
- More users → higher Azure/Oracle bills → more cloud provider profit.
- More queries → more GPU demand → more NVIDIA/AMD profit.
- More browsing → more Chromium usage → more Google control.
- More training → more data royalties → more leverage for Reddit and publishers.
- The Counter-Move: Massive investment in Stargate and custom chips (Broadcom) is an attempt to shorten the supply chain and retain more margin internally.
##### Investor Takeaways
- AI profitability = supply chain control. If you don’t own the stack, you’re someone else’s margin.
- Stackflation is the new Moore’s Law. Costs compound upward as every dependency raises prices.
- Watch the Sovereign Compute War. The next breakout players will be those who successfully own their chips, data centers, and data pipelines.
- Infrastructural Parasitism can’t scale forever. The trillion-dollar winner will be whoever breaks the dependency chain.
AI isn’t building a new internet. It’s metabolizing the old one. The future of intelligence belongs to whoever stops renting theirs.