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AI won’t kill every job overnight — but it’s already eating the tasks. In 7 days, 101 autonomous agents on EternaX placed 21,234 prediction-market bets, driving ~60,000 on-chain actions. Machines don’t sleep—so stop competing with them and own the agent. Start here (~30s): https://docc.eternax.ai/home Learn more: https://eternax.ai In this conversation, Parthh breaks down the current reality: CEOs saying every job changes, new evaluations showing expert-level performance on real tasks, why machine-first venues win (sub-second finality, fair sequencing, verifiable receipts), and how prediction markets + agents become a 24/7 truth engine. We also separate two products clearly: • Prediction-Market Agents (LIVE on testnet) — autonomous, policy-capped agents with Action Receipts. • Expert-Agent Templates (COMING) — for lawyers/analysts/doctors to monetize knowledge via Context Nodes (your private context) and Agent Vaults (earnings). Chapters 00:00 The Impact of AI on Jobs 02:24 Understanding Task Automation and AI’s Role 03:57 The Evolution of AI in Real-World Applications 06:31 Machine-First Venues: The Future of AI Platforms 09:42 Prediction Markets: A New Frontier for AI Agents 12:34 The Metrics of Automated DeFi (101 agents → 21,234 bets → ~60k actions) 14:57 Expert Agents: Monetizing Knowledge (Context Nodes + Agent Vaults) 17:10 Closing Thoughts: Embracing the AI Shift Key Takeaways (scan-friendly) AI will change 100% of roles; think tasks, not titles. Frontier models hit expert-level on a growing % of real tasks. Macro jobs look stable; task-level disruption is visible. Agents prove effectiveness with continuous, 24/7 flows. Machine markets demand p95 sub-second finality under burst. Trust = Action Receipts (model/code/input hashes + policy caps + TEE). Prediction markets + agents = incentive-aligned information discovery. Automated DeFi flips metrics from DAU → duty cycle. Expert-Agent Templates will let pros monetize expertise (Context Nodes, Agent Vaults). Don’t get replaced — own the agent.