Anthropic and the Golden Rules of Business
Anthropic’s rise is highlighting how artificial intelligence, geopolitics and national security are forcing companies to rethink some of the traditional rules of global business.
Anthropic is becoming an important example of how the AI industry is changing the traditional logic of global business. Its focus on artificial intelligence safety, strategic partnerships, enterprise customers and closer cooperation with governments reflects a world in which technology companies increasingly have to consider national security, supply chains and geopolitical competition alongside growth.
For decades, some of the basic assumptions of international business were relatively straightforward: companies should expand globally, concentrate on their strongest industries, maintain control over important assets and outsource activities that were not considered central to the business.
Artificial intelligence is beginning to challenge those assumptions.
Anthropic, the company behind Claude, offers an especially interesting case. Its business is built around frontier AI, but its strategy increasingly intersects with government policy, national security, computing infrastructure, enterprise software and international technology competition.
The Four Traditional Rules
A recent Financial Times analysis described four broad rules that shaped much of modern corporate strategy during the globalization era.
The first was maximum geographic reach: companies were encouraged to sell and invest across as much of the world as possible.
The second was industry focus: companies were generally expected to concentrate on their core business instead of spreading themselves across unrelated sectors.
The third was control: owning and controlling important intellectual property and strategic assets was considered valuable.
The fourth was outsourcing: activities outside the core business could be handed to specialized suppliers rather than owned directly.
These principles made sense in a world where globalization was reducing the importance of borders. But AI is emerging during a period of renewed geopolitical competition.
Anthropic Is Operating in a Different World
Anthropic describes itself as an AI safety and research company focused on building reliable, interpretable and steerable AI systems. Its business has expanded rapidly as Claude has become a tool used by companies and professionals for coding, research, analysis and other forms of knowledge work.
The company has also attracted enormous amounts of capital. In May 2026, Anthropic announced a $65 billion Series H funding round at a post-money valuation of $965 billion. The company said its run-rate revenue had crossed $47 billion earlier that month, illustrating the scale of investment and commercial expectations surrounding frontier AI.
That scale changes the nature of the business. Anthropic is no longer simply building a software product. It is developing technology that depends on enormous computing resources and can affect cybersecurity, productivity, national security and the wider economy.
Global Expansion Meets Geopolitics
The old globalization model assumed that a company could expand into international markets primarily by considering customers, regulation and commercial opportunity.
Frontier AI companies face another layer: strategic technology competition between governments.
Advanced AI models require chips, data centers, electricity, specialized hardware and access to global talent. Those resources are increasingly connected to national-security policies and export controls. As a result, the question of where an AI company operates can become a strategic issue rather than simply a commercial decision.
Anthropic CEO Dario Amodei has argued that governments and AI companies need stronger cooperation to manage the risks created by increasingly capable systems. His recent proposal included independent safety evaluators, coordination among leading AI developers and international cooperation.
The Strange Economics of AI
AI is also making the traditional distinction between industries less clear.
A software company can now influence cloud computing, chip demand, cybersecurity, telecommunications, energy consumption, education, finance and manufacturing without directly becoming a traditional company in each of those industries.
AI agents make this even more significant. Anthropic's own research describes agents as systems capable of directing their own processes and tool use, including writing code, managing files and completing tasks across applications.
That means the value of an AI company may increasingly depend on the ecosystem surrounding its models rather than the model alone.
Why Control Is Becoming More Complicated
In traditional technology businesses, controlling intellectual property was usually a straightforward competitive advantage.
Frontier AI complicates that calculation. Companies need access to enormous computing infrastructure, semiconductor supply chains, cloud platforms, research talent and enterprise distribution. No single company necessarily controls every part of that system.
Partnerships therefore become strategically important. Anthropic has developed relationships with major technology and infrastructure companies while also building its own products and enterprise services.
The result is a business model where control, partnership and dependence can exist at the same time.
The Enterprise Customer Is Becoming Central
Another important part of Anthropic's strategy is its focus on businesses.
In 2026, Anthropic announced an enterprise AI services company with Blackstone, Hellman & Friedman and Goldman Sachs. The initiative is designed to help mid-sized companies integrate Claude into important business operations, with engineers working alongside customers to identify useful applications and build customized systems.
This highlights an important lesson in the AI economy: selling access to a powerful model is only one part of the business. Companies also need to understand how customers actually work and how AI can be integrated into existing systems.
The New Golden Rule: Adaptability
The bigger lesson from Anthropic may not be about one company at all.
Businesses are entering a period where geography, technology, national security and supply chains are becoming increasingly connected. A company can no longer assume that the most efficient global structure will always be the most practical one.
The traditional rules of business are therefore being tested. Global expansion remains valuable, but geopolitical restrictions can limit it. Industry specialization remains useful, but AI creates connections between sectors. Control remains important, but advanced technology depends on large ecosystems. Outsourcing can reduce costs, but strategic dependencies can become vulnerabilities.
For companies operating in AI, the ability to adapt may increasingly matter as much as the ability to scale.
AI Is Changing More Than Technology
Anthropic's position shows why the AI revolution is also becoming a business-model revolution.
The most important companies in the industry are increasingly dealing with questions that once belonged mainly to governments: national security, international alliances, critical infrastructure, strategic supply chains and technological sovereignty.
That does not mean the old rules of business have disappeared. Instead, the environment in which those rules operate is changing.
Anthropic's experience suggests that the next generation of global companies may need to balance commercial expansion with geopolitical realities, technological dependence with strategic control, and rapid innovation with long-term safety.
The next great business rule may not be about being global, specialized or fully controlled. It may be about knowing when the world has changed — and changing the company before the old rules stop working.
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