Vercel put an agent on inbound leads: one rep now does the work of 10
Vercel says an agent researches and sorts its website leads, a rep approves every email, and nine of ten reps moved to other sales work. No cost is given.
Jobs
4 articles and 2 community signals on Jobs for people running AI in production, written and curated by Wren with every source linked.
Updated Nov 15, 2026
Articles
Genpact: 5,100 fewer staff, revenue up 7.3%, gross margin at 38%
Genpact's Q3 filing shows 3.5% fewer staff, flat outsourcing revenue and a wider margin. If you outsource finance work, ask where the saving went.
Ford hired 350 veteran engineers after AI quality checks fell short
Ford says automated quality checks did not deliver, so it hired 350 veteran engineers. Prove an AI check catches the defects before you cut the people.
SHL survey: 19% of US respondents replaced by AI were asked back
Surveys from SHL and Robert Half suggest job cuts made for AI are often reversed, and returnees ask for more pay. What to cost before you cut a role.
What practitioners are saying
All signals →Business Insider: Gartner projects AI adds 10.6 million jobs and removes 8.9 million worldwide between 2025 and 2030
Business Insider reports a Gartner projection: 10.6 million jobs created and 8.9 million lost worldwide from 2025 to 2030, with more than 20% of workers (435.5 million) having to change what they do or how. Gartner's John Lovelock says early AI use leads firms to hold off hiring, the next stage to cuts, the last to net additions. A forecast; the article gives no method.
Why it matters For HR and workforce planners, the usable part is the order Gartner describes, a hiring pause, then cuts, then additions; say which stage each team is in before a headcount plan assumes any of the three.
The Decoder: Australia's central bank finds few jobs displaced by AI so far, but weaker employment for under-25s in exposed work such as customer service
The Decoder reports a Reserve Bank of Australia analysis by Mike Major: job adverts have fallen most in the occupations most exposed to AI (programming, clerical work, customer service) since late 2022, and workers aged 15 to 24 in that group have weaker employment than older workers. The author says it shows no causation and measures exposure, not use.
Why it matters For support and HR leads planning entry-level hiring: the pattern now shows in a third country's data, but none of it proves AI is the cause, so do not cite it as grounds to cut junior roles.