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Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Market Capitalization:2 192 533 381 260,8 USD
Vol. in 24 hours:102 773 853 756,38 USD
Dominance:BTC 57,75%
ETH:10,07%
Yes

AI Agents May Wreck the Economy: Citrini Warns of an Alarming Systemic Collapse

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AI Agents May Wreck the Economy: Citrini Warns of an Alarming Systemic Collapse

AI Agent‑Induced Economic Loop

Citrini Research warns that autonomous AI agents could trigger a self‑reinforcing economic collapse within two years. By automating complex white‑collar tasks, firms may cut staff, leading to sharp unemployment and falling consumer demand. The resulting negative feedback loop could double job losses and erase more than a third of global stock market value by 2028.

White‑Collar Automation Threat

Unlike past automation focused on manufacturing, agentic AI can perceive, plan and act in knowledge‑intensive roles such as procurement, legal research, and financial analysis. Rapid displacement of high‑skill workers would compress margins, push companies to further automate, and create a deflationary spiral. Sectors most at risk include professional services, BPO, middle management and finance.

Expert Debate and Historical Context

Economists are split: some see the scenario as a plausible near‑term systemic risk, citing historical tech shocks, while others argue markets will adapt and new jobs will emerge. Critics question the assumed rigidity of demand and the speed of regulatory pushback. Nonetheless the report maps a clear causal chain that many find compelling.

Policy Implications

The authors urge policymakers to prepare by investing in reskilling, exploring adaptive safety nets, and incentivizing human‑AI collaboration rather than outright replacement. Without such measures, the efficiency drive of AI agents could destabilise the labor market and financial system. The debate shifts from sci‑fi superintelligence fears to concrete economic resilience.