As of late 2025, both the legal and accounting professions remain large, mainstream job categories, with evidence that AI is changing task mix rather than eliminating the roles.

In law, U.S. legal-sector employment has been rising, with job numbers in 2025 approaching prior peaks even as firms increase their use of AI to streamline work. (reuters.com) Surveys of legal professionals and AI adoption show a growing consensus that generative AI is a powerful tool but not a replacement for lawyers; many legal professionals explicitly state that AI will augment their work, not eliminate lawyer roles. (globallegalpost.com) Consistently, the U.S. Bureau of Labor Statistics projects lawyer employment to grow about 4% from 2024–2034, indicating continued demand for human attorneys even as some routine work is automated. (bls.gov)

In accounting, AI and automation are being heavily adopted but framed as productivity tools. Industry reports describe AI automating repetitive tasks (data entry, basic analysis) while highlighting that human judgment, ethics, and client-facing advisory work remain central; experts and professional bodies stress that GenAI is meant to support, not replace, accountants. (at-mia.my) Surveys in 2024–2025 find most tax and accounting firms expect significant GenAI integration but only a small minority now view it as a threat to employment, and many firms still report talent shortages rather than surplus. (cfobrew.com) BLS projections show employment of accountants and auditors growing around 5–6% over the coming decade, with the agency explicitly noting that while some tasks will be automated by AI and related tech, overall demand for accountants is expected to rise and their work to shift toward higher-value analysis and advisory duties. (bls.gov)

Some narrower, more routine roles (e.g., bookkeeping and clerical accounting positions) are projected to decline as automation spreads, but that is materially different from eliminating the broad professional categories of lawyers and accountants, which remain in demand and are forecast to grow. (bls.gov) Given that, about 2.5 years after the prediction, the best available data and expert views align with Sacks’s claim that these professions are sufficiently general and judgment-intensive that AI is unlikely to eliminate them; instead, they are evolving into AI-augmented roles. This supports classifying the prediction as right (so far).