Investors should prioritize AWS and Databricks as the "compute crunch" makes physical data center infrastructure the ultimate bottleneck and primary source of leverage. Focus on cybersecurity firms that maintain "privileged partner" status with Anthropic or OpenAI, as these companies gain a massive competitive moat by accessing restricted defensive models like Mythos. Avoid "scrappy startups" reliant on cheap API access, as Anthropic and OpenAI are shifting toward high-cost, enterprise-only "agentic AI" models that make small-scale development uneconomical. Monitor the Global North productivity gap, as regions with guaranteed access to frontier tokens are projected to grow twice as fast as those in the Global South. Given the rise of "AI Inequality," the highest conviction play is owning the "hyperscalers" that control the supply of tokens in a zero-sum compute market.

This analysis explores the emerging theme of "AI Inequality" and the shift from abundant AI access to a landscape defined by scarcity, security restrictions, and high compute costs.

Frontier AI Labs (Anthropic, OpenAI)

• Anthropic recently released Mythos, a top-tier cybersecurity model, but restricted its access to a select group of "privileged partners" (primarily US-based corporations and government-aligned entities).
• OpenAI followed a similar path with its Daybreak initiative, signaling a move away from broad public releases for high-capability models.
• Business Model Shift: Anthropic recently changed the pricing for Claude Code, effectively ending subsidies for developers building outside of Anthropic’s owned ecosystems. This makes many previous use cases "uneconomically viable."

Takeaways

• End of the "Golden Era": The period where the general public has access to the same "state-of-the-art" (SOTA) tools as elite corporations is ending.
• Platform Risk: Developers and businesses building on top of these APIs face significant risk as labs move from "assisted AI" to "agentic AI," which consumes billions more tokens and drives up costs.
• Tiered Access: Expect a future where "frontier" models are reserved for high-paying enterprise or government clients, while the general public is relegated to "good enough" or "distilled" models.

Data Center & Infrastructure Providers (AWS, Databricks, xAI)

• Compute Crunch: Demand for tokens is beginning to exceed supply. Providing access to frontier models is now a "zero-sum game" because the marginal cost of compute is extremely high.
• Inter-company Deals: The compute shortage is so severe that Anthropic is reportedly seeking ad-hoc access to data centers from rivals like xAI.
• Geopolitical Leverage: Countries (middle powers) are being encouraged to trade subsidized energy and land for guaranteed access to frontier AI models from US "hyperscalers" (like AWS).

Takeaways

• Investment Theme: Infrastructure remains the primary bottleneck. Companies that control physical compute (data centers and chips) hold the ultimate leverage in an era of scarcity.
• Policy Risk: Political movements (e.g., proposed moratoriums on data center construction by figures like Bernie Sanders) could inadvertently worsen inequality by making compute even more scarce and expensive.
• Buy First Resort: There is a growing movement for "American buyers of first resort," which would prioritize US firms' access to US-produced AI tokens over international buyers.

Cybersecurity & Model Distillation

• Distillation Risks: "Fast follower" models (specifically from China, such as DeepSeek) are reportedly using "distillation"—training smaller models using the outputs of frontier models like GPT-4.
• KYC Requirements: To prevent distillation and IP theft, AI labs are expected to implement much more burdensome "Know Your Customer" (KYC) protocols, potentially locking out "scrappy startups" or international users.

Takeaways

• Defensive Advantage: Early access to models like Mythos allows "defenders" (major US firms) to patch vulnerabilities before "attackers" gain access to the same AI capabilities.
• Sector Insight: Cybersecurity firms with "privileged partner" status with Anthropic or OpenAI have a significant competitive moat over those that do not.

Global AI Diffusion & Macro Trends

• Growth Divergence: Microsoft’s Global AI Diffusion Report shows AI usage in the Global North (27.5%) is not only higher than the Global South (15.4%) but is growing twice as fast.
• Economic Asymmetry: Access to frontier AI is becoming a prerequisite for economic productivity. Regions without access may face mass migration and destabilization as they fall behind the "AI haves."

Takeaways

• Strategic Investment: For investors, the focus should shift from "who is using AI" to "who is using it well." Research from KPMG suggests high-impact users treat AI as a "reasoning partner" rather than just a search engine.
• Middle Power Strategy: Countries outside the US/China axis must focus on building their own compute or securing contractual guarantees for frontier access to avoid becoming "AI have-nots."

Mentioned Entities & Tools

• Anthropic (Claude, Mythos): Leading the trend toward restricted, high-security model releases.
• OpenAI (Daybreak): Moving toward limited releases for frontier capabilities.
• DeepSeek: Cited as a "fast follower" utilizing model distillation.
• Blitzy: An autonomous software development platform for enterprise-scale codebases.
• Robots and Pencils: An AWS and Databricks partner focused on agentic acceleration.
• Superintelligent: Provides AI organizational maturity assessments.