AI Hiring Intelligence
Every Tuesday we score open AI roles across PE portfolios and Enterprise SaaS using our proprietary automation scoring. Higher score = harder to replace. Lower score = more of the role can be automated today.
Real estate brokerages have some of the highest AI adoption rates of any industry, but almost none have seen the payoff. Douglas Elliman's new AI subsidiary points to why, and what to do about it.
AI is closing the door on early careers. Stanford, Goldman Sachs, and three companies show the data, and what smart leaders are doing differently.
Carlyle says stop asking where AI can make you faster, and start asking which workflows can be transformed. We turned that question on their own open roles. The answer is in the job postings.
Apollo’s own job postings confess the automation gap in writing. Brian Chu is right that AI has not shown up in the numbers yet. The gap is not strategy, it is execution.
Meta and Microsoft cut 23,000 roles in one week. KKR’s own AI hiring signals show structured coordination tasks facing real automation pressure by Q4 2026, while organizational judgment stays protected.
Blackstone’s portfolio companies are hiring at $150–300K for roles where most of the task list can be automated today. The automation gap is large, and it’s measurable.