Why 40% of AI Agent Projects Are Failing — And the 4 New Jobs It's Creating | Agentic AI in the workplace
カートのアイテムが多すぎます
カートに追加できませんでした。
ウィッシュリストに追加できませんでした。
ほしい物リストの削除に失敗しました。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
-
ナレーター:
-
著者:
概要
Send us Fan Mail
AI agents aren't working alone anymore — they're forming autonomous teams. And 40% of these multi-agent projects are failing. If you work in tech, project management, or enterprise software, this is the biggest career opportunity of 2026.
This episode breaks down the multi-agent AI orchestration revolution: what it is, why most companies are getting it wrong, and why their failure is creating four brand-new career roles that didn't exist six months ago.
In this episode, you'll learn:
- Why multi-agent AI orchestration is the defining enterprise trend of 2026
- The four emerging career roles created by companies failing at AI agent deployment
- Why 40% of autonomous agent projects collapse — and what that means for job security
- Your 30-day survival plan to position yourself in the agentic AI economy
Subscribe to Surviving AI and leave a review — it helps other workers find this show.
Surviving AI podcast, multi-agent AI, AI orchestration, agentic AI jobs, MCP protocol, A2A protocol, AI agents 2026, enterprise AI careers, Carlo Thompson, AI job creation, agent architecture, AI deployment failures, future of work, AI career strategy, autonomous systems jobs