Urgent.News

What's breaking now, across thousands of outlets.

AI

This chart shows how junior-level hiring is down at Anthropic due to AI

Anthropic said it has been hiring for a "smaller share of junior technical positions" as AI agents have been deployed across the firm.

A recent internal report from AI company Anthropic reveals a decline in junior-level hiring, particularly among technical employees, due to the increasing deployment of AI agents. According to the report, Anthropic has been hiring a smaller share of junior technical positions, with junior workers making up just 9% of technical department hires by June of the current year, down from 27% in early 2025.

This drop in junior hiring was accompanied by a decline in open roles for junior positions, falling to 6% from over 20% in late 2024. While the trend was more pronounced in technical departments, it was also evident in non-technical departments, where junior hiring fell from 31% to 26% over the same period. Anthropic attributes the shift to the rapid expansion of AI usage within the company, which has led to increased productivity and output as employees adopted new AI tools.

The company's CEO, Dario Amodei, has emerged as a prominent voice warning about AI's potential to disrupt jobs, suggesting that AI may eliminate up to half of entry-level white-collar jobs in the coming years.

Written by urgent.news from Business Insider's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at businessinsider.com →

More in AI

Your AI Agent Crashes on 429 Errors and You're Burning Money

Your AI Agent Crashes on 429 Errors and You're Burning Money Handling rate limits the right way saves you from unexpected bills and keeps your app reliable.

  • API rate limits exceeded, causing 429 errors
  • Errors lead to lost work and increased costs
  • Python script provides retry function with logging

How to audit MCP tool schema token bloat and sync CLAUDE.md with AGENTS.md locally

If you connect 4–5 MCP servers to Claude Code or OpenAI Codex (GitHub, Playwright, Postgres, Notion), their tools/list JSON schemas silently consume 15,000–35,000 tokens on every turn before you even…

  • 4–5 MCP servers can consume up to 35,000 tokens per turn
  • CtxWise v1.0 tool inspects and fixes schema token bloat
  • CtxWise syncs CLAUDE.md with AGENTS.md locally

More from Monday 19 October →