SpaceX IPO Multiple Times Oversubscribed | Bloomberg Tech 6/10/2026

Record $1.8 trillion valuation marks largest IPO ever

SpaceX debuted at a valuation 900 times larger than Tesla's 2012 IPO, with institutional demand exceeding $10 billion in share requests from asset managers alone.

Orbital data centers represent next high-risk hypothesis

The company is pitching space-based data centers as its next validation target, a strategy that could dramatically widen outcomes but requires massive capital deployment with uncertain payoffs.

Private market returns unlikely to repeat in public markets

Early investors face mathematical constraints on replicating Tesla's 25,000% post-IPO gains, highlighting the necessity of maintaining diversified exposure across both private and public growth markets.

Google backstops $35 billion Anthropic data center deal

Google is guaranteeing leases for five data centers housing Anthropic's TPUs while Broadcom backs the chip manufacturing, creating the largest private credit deal in history to fund chips that do not yet exist.

SoftBank stalls on $6 billion OpenAI-backed margin loan

SoftBank shares dropped as fundraising talks stalled for a loan backed by its OpenAI stake, weeks after cutting targets from $10 billion amid tightening capital markets.

Massive capital raises risk soaking up available investment

Simultaneous multi-billion dollar equity raises by SpaceX, Anthropic, and hyperscalers prompt early investors to consider selling down positions to maintain client diversification requirements.

Corporate America retreating from expensive LLM deployments

According to Professor Safiya Noble, companies are increasingly abandoning large language models due to high operational costs, factual unreliability requiring human verification, and significant environmental impact.

Training data embeds societal discrimination

AI models package historical inequalities and stereotypes from training data while presenting outputs as factual, making systemic bias difficult to detect without deep sociological expertise.

Human expertise prioritized over automation

Noble advocates investing in humanities, social sciences, and small language models developed by diverse creators rather than replacing human judgment with flawed large-scale systems.