AI labs like Anthropic are forming joint ventures with PE firms to create AI consultancies. The PE firms' portfolio companies become a ready-made customer base, solving the difficult go-to-market problem and creating a flywheel for AI adoption and cost reduction within the portfolio.
Unlike vertically-integrated competitors Kalshi and Polymarket, Rosera operates purely as a B2B exchange and clearinghouse. This "picks and shovels" strategy allows it to power services for large partners like Robinhood without becoming a direct-to-consumer competitor, aligning incentives and securing a massive distribution channel.
Robinhood invested in Rosera rather than building its own prediction market exchange to avoid conflicts of interest, heavy regulation, and liquidity fragmentation. This separation of broker and exchange functions is standard in traditional equity markets but contrasts sharply with the vertically-integrated model common in crypto.
The SEC is proposing crypto regulations because Congress's Clarity Act has stalled. While this provides immediate clarity for companies issuing tokens, it's a weak foundation. Agency rules can be easily overturned or modified by future administrations, making them far less permanent and reliable than legislation passed by Congress.
Rather than direct sales, consistent revenue for AI model companies will flow through enterprise SaaS platforms like Salesforce that embed AI features. This creates a reliable buyer base but shifts the burden to SaaS companies to prove ROI, potentially pressuring their gross margins as they absorb the high cost of model usage.
The "SaaSpocalypse" threat is real, but primarily for smaller software platforms that offer a single point solution. Large, established systems of record (like ERPs and CRMs) are not at risk of being replaced by an LLM. Enterprises value the stability and compliance of these platforms, making integration, not replacement, the likely path forward.