The prediction is framed over the “coming years,” which implies a multi‑year structural shift rather than something that should be fully visible by late 2025, only about a year after the podcast.

There are early signs consistent with stronger demand for in‑person human‑service work:

• Recent U.S. data show that health care and social assistance plus leisure and hospitality accounted for more than 100% of net job gains over the latest year, with other sectors stagnating or shrinking, indicating rising relative demand for face‑to‑face services. (axios.com)
• BLS long‑term projections to 2033–2034 expect particularly fast growth in human‑service‑heavy categories such as home health and personal care aides (+20.7%), personal care and service occupations overall (+6.4%), and construction and extraction (+5.6%), all above the average for all occupations. (blog.dol.gov)

However, the specific claim is that as AI and automation advance, there will be a “burgeoning and blossoming” of salaries, availability, and demand for in‑person human services. On that causal and magnitude question, the evidence is not yet clear:

• Global AI labor analyses (e.g., PwC’s 2025 AI Jobs Barometer) find the strongest wage and productivity gains in AI‑exposed sectors like finance and ICT, while less AI‑exposed sectors such as hospitality and some personal services show lower productivity gains and are not (yet) singled out for exceptional wage acceleration. (pwc.com)
• BLS projections attribute much of the growth in care and service jobs to demographics (aging population, chronic conditions) rather than to AI‑driven substitution elsewhere, and we do not yet have several years of realized wage data isolating the AI effect in trades, hospitality, fitness instruction, tutoring, and similar roles. (bls.gov)

Because (1) the stated horizon is longer than the time that has elapsed, and (2) the available data do not yet clearly show a broad, AI‑driven surge in both pay and job counts across the full range of in‑person human‑service roles he described, it is too early to say whether the prediction is ultimately right or wrong. Hence, inconclusive (too early).