With public data exhausted, AI companies are seeking proprietary datasets. After being rejected by established firms wary of sharing their 'crown jewels,' these labs are now acquiring the codebases of failed startups for tens of thousands of dollars as a novel source of high-quality training data.
Major AI labs like OpenAI and Anthropic are partnering with competing cloud and chip providers (Amazon, Google, Microsoft). This creates a complex web of alliances where rivals become partners, spreading risk and ensuring access to the best available technology, regardless of primary corporate allegiances.
Waymo's potential funding round at a valuation over $100 billion, despite estimated revenues of only $300-$350 million, signifies a market focused on long-term potential. Investors are betting on future market leadership and unit economics in the autonomous vehicle space, not current financial performance.
Amazon is investing billions in OpenAI, which OpenAI will then use to purchase Amazon's cloud services and proprietary Trainium chips. This vendor financing model locks in a major customer for AWS while funding the AI leader's massive compute needs, creating a self-reinforcing financial loop.
For highly-capitalized companies like SpaceX and OpenAI, bankers are designing new IPO structures. Instead of standard 90-180 day lockup periods, they're planning staggered share releases over a longer timeframe to manage immense selling pressure from a large base of private shareholders and prevent post-IPO stock volatility.
Companies like SpaceX and OpenAI command massive private valuations partly because access to their shares is scarce. An IPO removes this barrier, making the stock universally available. This loss of scarcity value can lead to a valuation decline, a pattern seen in other assets like crypto when they became easily accessible via ETFs.