Tag
3 reads
Rowspace cut a CLO mock-portfolio build across 200-400 credit names from 2-3 days in Excel to minutes, about 80-90% complete, with the PM finishing the last 10%. The trust comes from staff encoding which of 20 sources wins, worked out with the client's finance team on site. That human-adjudicated rulebook is what the physics and grant-writing reads are missing.
OpenAI is paying $4B to build what the model alone can't deliver: the implementation layer that actually closes enterprise deals. The consortium structure is the telling detail. TPG, Bain Capital, McKinsey, and sixteen others are taking equity in the company most likely to compress their services revenue. That isn't partnership; it's a hedge against their own obsolescence, purchased while the price is still negotiable. The OpenEvidence and LF Networking data this week run the same pattern in different registers: licensed corpus access and deployment infrastructure are commanding premiums that raw model capability isn't, because enterprise procurement teams treat model lock-in as a risk, not a feature. Watch MBB AI practice headcount over the next four quarters. Whether it grows or contracts is the revealed-preference test of whether co-equity buys survival or just delays the reckoning.
OpenAI launched a $4B services arm with TPG, Bain Capital, McKinsey, and sixteen other firms taking equity, anchored by acquiring Tomoro's 150 forward-deployed engineers. The consortium reads as a roll call of firms with the most to lose from services-as-software, buying equity in their own disintermediator. Implementation gap is now the moat OpenAI is paying $4B to build, and the MBB AI practice headcount trajectory over four quarters becomes the live test of whether co-equity is hedge or severance.