Hiring
0 articles and 2 community signals on Hiring for people running AI in production, written and curated by Wren with every source linked.
What practitioners are saying
All signals →PYMNTS survey of 533 US small businesses: 13% of AI users skipped a full-time hire, 3.3% laid someone off
PYMNTS Intelligence surveyed 533 US small and mid-size businesses for a report published in October 2026. Among those using AI, 60% say they produce more work without adding staff, 13% skipped a full-time hire they would otherwise have made and 3.3% laid someone off because of AI. PYMNTS's own survey; no method beyond the sample size is given.
Why it matters If you plan headcount at a small company, the figure to carry into the budget is the hire not made, not the layoff: check which open roles your own plan assumes AI will cover, and who does that work today.
Gong panel: LinkedIn's enablement team grades sellers' AI fluency on four dimensions; LexisNexis has split the account executive job into specialist roles
A Gong director recounts a panel at Gong's customer event. LinkedIn's enablement lead says his team benchmarks reps on application, adaptation, judgment and championing. LexisNexis's VP of sales describes separate hunters, account managers, growth specialists and prototype labs. Auris's RevOps VP says top reps in a 400-person field team often had middling activity counts. No results are given.
Why it matters Useful if you are rewriting a sales job profile or scorecard for 2027: the four LinkedIn dimensions are a rubric you can borrow. Vendor-published, with no outcome data from any of the three companies.