Provenance record

What is it like to work when your co-workers are AI agents?

The Guardian: Artificial Intelligence (tier 1, news) 2026-10-29T15:00:46.000Z Original ↗

Discourse valence
-50
Adverse
confidence 70% · 1 item
Adverse readingFavourable reading
Single-model reading. This item did not meet the threshold for a multi-model panel.
Employment and displacementHuman agency and epistemicsConcentration of power
Excerpt as ingested

Using AI for roles from executive assistants to chiefs of staff, companies are boasting about doing more with less, creating tension with their human workers On an average workday, Dhruv Amin chats with dozens of colleagues to get things done at his AI startup Anything. He might ask Gwen, his executive assistant, to schedule a meeting, then troubleshoot a technical problem with Cody, his coding partner. Then he might check in with Betsy for search engine optimization, or Juno for onboarding customers. If the office runs out of snacks, he sends a Slack message to Justin, the office manager charged with stocking the kitchen. But none of these co-workers are people. They’re artificial intelligence agents, software that handles tasks without human intervention. Anything is one of several startups building them, and betting on a future where workplaces will increasingly turn over their sales, marketing, coding and other tasks to semi-autonomous AI. At Anything, there are 15 human employees and roughly 150 agents – a ratio that Amin believes will soon be the norm. Continue reading...

Every model that read this

ModelProviderStageScoreConf.LatencyPromptWhen
Llama 3.3 70BMetaanalysis -50 70%4098ms v1.0.0 / m1.0.1 2026-10-29 15:18
Llama 3.3 70B · reading

AI agents replacing human workers creates job loss and tension.

evidence: reported horizon: n/a

Evidence extracted

The chain
SOURCE     The Guardian: Artificial Intelligence (tier 1)
   ↓
DOCUMENT   890662c4-93c4-4c28-95be-9c74f453bd27
           https://theguardian.com/technology/2026/oct/29/ai-agent-coworker
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EVIDENCE   3 extracted excerpts
   ↓
MODEL RUN  1 run, methodology 1.0.1
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SCORE      -50  (Adverse)
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CONFIDENCE 70%