2026.23: Power Shifts

2026-06-05 · Source: Stratechery by Ben Thompson · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Cloud Computing & IT Infrastructure · Depth: Advanced, extended

Summary

This Stratechery brief, "2026.23: Power Shifts," analyzes several market and cultural shifts. It highlights Google's increasing market capitalization and its curious equity deal with Berkshire Hathaway, contrasting it with Microsoft's AI strategy. The brief also notes the surprising box office success of Gen Z YouTubers, who are outperforming traditional Hollywood productions and challenging industry gatekeepers. A significant portion details SpaceX's proposed \$2 trillion valuation and its S-1's "absurd" \$28.5 trillion total addressable market, including \$26.5 trillion in AI. The analysis explores the feasibility of "data centers in space" for agentic inference, envisioning satellites as disposable racks with solar panels and radiators. It argues that while terrestrial data centers face power and zoning constraints, space offers an alternative for massive future compute demand, potentially justifying SpaceX's ambitious valuation despite current losses of \$4.9 billion on \$18.67 billion revenue.

Key takeaway

For CTOs planning future AI infrastructure, you should critically evaluate the long-term viability of terrestrial data centers given increasing zoning and power constraints. Consider the potential for space-based compute, particularly for agentic inference workloads, as a strategic alternative, despite the significant engineering challenges and speculative valuations like SpaceX's \$2 trillion target. Your investment decisions should factor in the disruptive potential of companies that redefine market rules through scale, rather than solely current financials.

Key insights

Elon Musk's companies transform market rules through scale and investor belief, exemplified by SpaceX's space data center vision.

Principles

• Musk's companies change market rules via scale.
• Investor belief can fund massive infrastructure.
• Agentic inference will be AI's largest market.

Method

Space data centers could use individual satellites as disposable racks, interconnected with lasers, powered by solar panels, and cooled by radiator arrays for agentic inference.

In practice

• Pay communities for data center permits.
• Consider space for future compute capacity.
• Focus on agentic inference for AI scaling.

Topics

• SpaceX IPO
• Space Data Centers
• Agentic AI Inference
• AI Infrastructure
• Market Capitalization
• Digital Creator Economy

Best for: Investor, CTO, Consultant

Related on AIssential

• The SpaceX IPO and Data Centers in Space — Musk's companies succeed by changing market rules through scale and visionary "all-in" bets, often defying conventional financial logic.
• Nvidia Earnings This Week; Biggest Power Deal in History — AI's rapid expansion is reshaping markets, driving unprecedented demand for compute, power, and new financial instruments.
• Elon Musk has given up on solar power (on Earth) — Elon Musk's xAI is pivoting to natural gas and space-based solar, diverging from Tesla's terrestrial clean energy vision due to perceived AI compute growth limits.
• SpaceX Lowers IPO Valuation Target — AI's exponential growth drives massive valuations and infrastructure investment, but future profitability for enterprise users is key.
• Why Google's SpaceX deal signals the rise of the AI compute landlord - Business Standard — The Google-SpaceX deal reveals AI compute is evolving into a rentable, scarce infrastructure asset, creating a new "AI compute landlord" model.
• SpaceX targets $74.4 billion raise in record-setting $1.75 trillion IPO — SpaceX's record-setting IPO aims to fund a massive orbital data center network for AI computing.

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Editorial summary, takeaway, and curation by AIssential. Original article published by Stratechery by Ben Thompson.