Tech Trade Under Pressure; Musk Sells His Vision of the Future

2026-06-05 · Source: Bloomberg Tech · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Capital Markets & Investment Management · Depth: Novice, extended

Summary

Elon Musk captivated investors at a recent SpaceX event, downplaying IPO specifics while the company prepares for a record-breaking public offering next Thursday, priced at \$135 per share to raise over \$75 billion at a \$1.77 trillion valuation. This comes as tech stocks, particularly chip manufacturers, face significant pressure, with the S&P 500 down 1% and chip stocks down 4.7%, ending a nine-week gain streak amid a hot May jobs report and reassessed interest rate paths. Meanwhile, Nvidia has certified Samsung, SK Hynix, and Micron to supply HBM4 memory for its Verirubin AI chips. Anthropic's co-founder highlighted the capital-intensive nature of AI development as a driver for its upcoming IPO, while StarCloud and Apex are advancing space-based compute and satellite manufacturing, respectively, with StarCloud launching Nvidia H100 chips in orbit and Apex raising over \$200 million to produce 200+ satellites annually.

Key takeaway

For investors assessing the volatile tech market and AI's future, recognize that massive capital expenditure in AI, particularly in space-based compute and physical AI, is a primary driver of economic growth and wealth creation. While chip stocks face short-term pressure, the long-term trend points to continued, expensive innovation. You should scrutinize companies' capital needs and compute strategies, as public markets are becoming essential for funding this intensive development.

Key insights

The AI sector is driving massive capital investment and innovation across diverse domains, from space computing to physical AI, despite market volatility.

Principles

• AI development is inherently capital-intensive.
• Standardized platforms accelerate satellite deployment.
• AI's economic impact is primarily investment-driven.

Method

StarCloud's method involves deploying Nvidia H100 chips within small, distributed satellite constellations for inference workloads, aiming for 88,000 satellites and 20 gigawatts of compute.

In practice

• Use HBM4 memory for next-gen AI chips.
• Explore space-based compute for AI inference.
• Invest in physical AI for industrial disruption.

Topics

• SpaceX IPO
• AI Capital Expenditure
• Space-based Compute
• Physical AI
• Satellite Manufacturing
• HBM4 Memory
• Tech Market Volatility

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Editorial summary, takeaway, and curation by AIssential. Original article published by Bloomberg Tech.