Should Companies Use AI to Cut Jobs or Build Capacity?
Amid economic uncertainty, leaders face a choice between using AI productivity gains to cut headcount or reinvesting the freed time to increase capacity.
Read the original →Every story in this issue with a short summary, so you can decide what to read before leaving the site. Summaries are written by AI (Claude) only from each publisher's own description and checked by Jev for anything not in that description. They are not full translations. Follow "Read the original" for the full story.

Amid economic uncertainty, leaders face a choice between using AI productivity gains to cut headcount or reinvesting the freed time to increase capacity.
Read the original →The piece describes how AI Human Resources Practitioner training helps HR teams compare layoffs, reskilling, workforce analytics, and responsible AI decisions.
Read the original →A potential AI market crash could trigger recession-driven layoffs while making automation cheaper. Historical research does not prove that modern AI would cause widespread job losses.
Read the original →Large companies have carried out repeated staff cuts in recent years, and concern about AI's effect on the economy and employment has risen quickly. The description says much of the anxiety was stoked by research institutions and chief executives seeking to raise their own profile.
Read the original →Hiring criteria in New Zealand's accounting and bookkeeping industry are changing as AI is adopted. The report refers to a survey by accounting software company Xero of 526 accounting industry executives.
Read the original →Block's AI-driven job cuts produced record margins and raised guidance. GAAP profit and the third quarter still need to confirm the result.
Read the original →97% of South Korean companies expect to use AI within three years. 54% expect job reductions.
Read the original →Qualcomm has not disclosed how many jobs will be cut. Notifications to affected employees are expected to begin in November.
Read the original →