Sam Altman, Dario Amodei, Demis Hassabis, and other AI leaders did not attend the G7 as mere observers. They arrived as equal negotiators, sitting in the same rooms where trade wars and military alliances are decided. The image is telling: while heads of state discuss regulation, the true architects of the technological future are redesigning the rules from within. Trump's invitation to these CEOs is not just diplomatic protocol; it's an explicit acknowledgment that geopolitical power has shifted.
Photo: Alexandre Pellaes on Unsplash
That said, what happened at this G7 summit marks a key turning point. For the first time in modern history, executives from private companies are actively participating in negotiations between sovereign nations over strategic technology. Not as lobbyists waiting in the lobby, but as integral parts of the conversations. The message is clear: those who control the foundational AI models have more influence over the future than many defense ministries.
The New Power Board: When OpenAI and Anthropic Matter More Than Some G7 Countries
The presence of Altman and Amodei at the G7 is not symbolic—it's strategic. OpenAI and Anthropic control critical infrastructure for U.S. national security. GPT-4 and Claude are used by the Pentagon, the NSA, and virtually all Western intelligence agencies. When Altman talks about “global alignment of models,” he isn’t discussing corporate ethics. What he’s really negotiating are security standards that will directly affect military operations.
Anthropic, for its part, arrived at the G7 with special credentials. Its work on "Constitutional AI" has become the reference framework for governments trying to regulate language models without fully understanding how they work. Dario Amodei didn’t come to listen; he came to explain why certain regulations proposed by the European Union are technically unfeasible.
The timing is no coincidence. OpenAI is in full preparation for an IPO that could value it at $150 billion, making it one of the largest tech public offerings in history. Anthropic, while having no public plans to go public, has just closed a $7.3 billion Series D round led by Google. Both companies need clear regulatory frameworks before taking the next step. What better place to negotiate these than directly with the G7 leaders?
The Most Scrutinized IPOs of the Decade Are Written in Diplomacy
OpenAI's path to IPO necessarily runs through Washington, Brussels, and now, the G7 summits. Institutional investors who traditionally buy into these public offerings—sovereign funds, state pensions, managers like BlackRock—demand assurances that there won’t be regulatory surprises that could wipe out value overnight.
Altman's strategy is brilliant: to make OpenAI so critical that aggressive regulation becomes politically unfeasible. If GPT-5 is used by half of Europe for cybersecurity, how are you going to block it with the AI Act? The answer is clear: you can’t. And that’s why Altman is at the G7—not waiting for regulations but helping to write them.
The AI Cold War Negotiated in Closed Circles
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What was truly discussed in the G7's side meetings won’t appear in any official press release. However, sources close to the negotiations speak of concrete issues: export controls for NVIDIA H100 GPUs, access restrictions to foundational models for certain countries, and agreements on "non-proliferation" of AGI (Artificial General Intelligence) capabilities.
China is not at the G7, but its absence is central to the discussion. Everything being negotiated aims to maintain the technological advantage of the West over Beijing. And this is where Altman and Amodei play a unique role. They know exactly what gaps exist between GPT-4 and the best Chinese models like DeepSeek or Ernie. They understand which hardware restrictions would work and which are merely political theater.
Hassabis, CEO of Google DeepMind, arrived with inside information: usage data of Gemini in European government infrastructures. His argument is simple but compelling: if Europe wants digital sovereignty without depending on the U.S., it needs to invest $100 billion in computing over the next five years. No one in the room believes that will happen, so the real conversation turns into: how do we structure European dependency on American models in a politically acceptable way?
The Historical Precedent No One Mentions: When IBM Wrote Foreign Policy
This is not the first instance of a tech company influencing geopolitics directly. During the Cold War, IBM played a critical role in technology export policy toward the Soviet bloc. However, there was one key difference: IBM manufactured hardware—something tangible that could be regulated at customs.
AI is different. A foundational model can be transferred in seconds over APIs, leaked by disgruntled employees, or replicated using distillation techniques. Regulating its proliferation is exponentially more complex. That’s why AI CEOs have unprecedented negotiating power: they are the only ones who truly understand what can be regulated and what cannot.
The Unresolved Tension: Wild Capitalism vs. State Control
The most fascinating aspect of the G7 was observing the fundamental contradiction. On one hand, governments like France and Germany push for strict regulation under the AI Act. On the other, those same governments plead with OpenAI and Anthropic to open data centers within their territories.
Macron met privately with Altman for 90 minutes. The message was direct: "We need Paris to be your European hub, but I can’t sell it to Brussels if you don’t accept certain regulatory limits." Altman’s response, according to leaks: "We can work with reasonable limits. Define reasonable."
There lies the game. Governments need these companies more than the companies need any individual government. OpenAI can operate from Singapore, Dubai, or Canada if Europe turns hostile. France cannot afford to be left out of the AI landscape.
The Chinese Model as a Sword of Damocles
During the closed sessions, several attendees explicitly mentioned the Chinese model of state-led AI development. In Beijing, companies like Baidu, Alibaba, and ByteDance operate under direct government coordination. There is no tension between regulation and development; there is total alignment.
The pro-regulation argument uses this as a warning: "If we don’t establish guardrails now, we’ll end up with a Chinese model out of competitive necessity." The anti-regulation argument uses the same fact in the opposite way: "If we over-regulate, China will surpass us in 18 months."
Altman and Amodei played this tension masterfully. Their public position: "We want smart regulation that protects without stifling innovation." However, their real, observable position in the negotiations: "Give us regulatory certainty that allows us to go public without the risk of disruptive regulatory changes post-IPO."
The Elephant in the Room: IPO Before or After AGI?
The question nobody asked publicly, but everyone is thinking is: what happens if OpenAI achieves AGI before its IPO? Does it still move forward with the public offering? How do you value a company that has potentially solved artificial general intelligence?
OpenAI's current corporate structure—a hybrid non-profit/for-profit—was specifically designed for this scenario. The board can decide that certain advancements are "too dangerous" to commercialize. But if you’re an institutional investor considering entering the IPO, how do you assess that risk?
Anthropic faces a similar but inverse problem. Its positioning as "the safe AI company" is its competitive advantage. But if Dario Amodei is negotiating regulatory frameworks at the G7, to what extent can he maintain that image of ethical independence?
Implications for the Startup Ecosystem
As the giants negotiate with governments, the rest of the AI ecosystem watches closely. If OpenAI and Anthropic secure favorable regulatory frameworks, smaller startups will be able to operate under the same rules. However, if regulation ends up being burdensome, it would create huge barriers to entry.
AI startup founders in Europe are already reporting this effect. Complying with the AI Act requires legal teams that only companies with $50 million or more in funding can afford. The perverse result: regulation designed to control the giants ends up suffocating the challengers that could compete with them.
The Real Battleground: Technical Standards, Not Legislation
Beyond public discussions about ethics and regulation, the real game at the G7 was played in conversations about technical standards. What constitutes "alignment" of a model? What security metrics are auditable? What level of interpretability is required?
This is where Anthropic gained significant ground. Its "Constitutional AI" framework is being considered as a baseline standard by several G7 governments. If that solidifies, Anthropic won’t just influence regulation; it will control the technical language in which it is written.
OpenAI, for its part, pushed hard to standardize APIs. Its argument is compelling: if governments are going to integrate AI into public services, they need consistent interfaces that don't tie them to a specific provider. It sounds altruistic until you realize that OpenAI has years of head start developing exactly those APIs. They are standardizing their own competitive advantage.
The Silent Role of Microsoft and Google
Let’s not forget that behind OpenAI is Microsoft, and behind Anthropic is Google. When Altman negotiates at the G7, Satya Nadella is a message away. When Amodei talks about technical regulation, Sundar Pichai is monitoring every word.
These alliances transform the dynamics. It’s not just AI startups talking to governments; they are entire ecosystems of cloud, data, and hardware. Microsoft needs OpenAI to succeed because Azure depends on it. Google needs Anthropic to be viable because it’s its hedge against OpenAI.
The Question Defining the Next Decade
Returning to the IPOs: the market is watching every move. OpenAI could be valued between $100 billion and $150 billion at its public offering. Anthropic, if it decided to go public, could easily reach $30 billion to $50 billion. These would be historical valuations for companies that, technically, have yet to demonstrate sustainable long-term business models.
But the G7 has changed the rules of the game. It’s no longer just about revenue and margins; it's about geopolitical relevance. How much is a company worth that governments consider critical infrastructure? How do you discount regulatory risk when that same company is writing the regulations?
For founders, investors, and observers of the tech ecosystem, the lesson is clear: the next level of scale isn’t just played out in product and go-to-market strategies. It’s played in diplomacy, government relations, and the ability to navigate power structures that were traditionally reserved for century-old multinationals.
The presence of these CEOs at the G7 is not an anomaly; it’s the new normal. The question is not whether technology will influence geopolitics. The question is: who else will manage to sit at that table?