- JP Morgan alerts on AI risks for white-collar workers.
- AI may cause jobless recovery risks.
- Potential policy shifts suggested by experts.
JPMorgan warns that AI could lead to a ‘jobless recovery,’ affecting mainly white-collar workers, according to recent economic analysis by Senior US Economist Murat Tasci.
The warning highlights potential economic challenges, suggesting increased unemployment risks in knowledge sectors, potentially influencing macroeconomic conditions and possibly impacting digital asset markets through policy changes.
JP Morgan has publicly warned about the risks of a “jobless recovery” due to artificial intelligence (AI). The warning, highlighted by Senior US Economist Murat Tasci, focuses on white-collar knowledge workers and potential employment shifts.
Led by Murat Tasci, the JPMorgan research cautions that AI could displace non-routine cognitive occupations. AI’s Influence on Job Growth and Market Changes is a key area of concern. While impacts are not immediate, concerned stakeholders are closely monitoring these economic analyses and communications from the research division.
Current indications suggest minimal immediate employment shifts but highlight future risks. AI may alter employment dynamics in white-collar sectors, Exploring AI’s Impact on Worker Demand and Labor Market Dynamics, increasing long-term unemployment risk and impacting market stability negatively, experts suggest.
Potential changes in unemployment may necessitate monetary policy adjustments by policymakers. Experts argue for economic flexibility and possible interventions to stabilize markets if AI-driven job instability emerges.
The report suggests a broader impact on industries where AI could replace manual roles. Historical automation trends provide context for potential white-collar impacts.
Experts anticipate a shift similar to 1980s automation changes, affecting financial, technological, and regulatory landscapes. Murat Tasci warns “AI is poised to replace a vast swath of white-collar knowledge workers—office workers, in other words, who have ‘non-routine cognitive occupations’… The result could be a ‘jobless recovery’ in the labor market—a situation where white-collar knowledge workers face a structurally higher risk of unemployment as growth in their sector remains feeble.” Recent patterns could drive increased volatility.
The adoption of AI technologies is anticipated to have a significant impact on employment trends as noted in Jobs in the AI Revolution: Disruption and Future Growth Insights. Tasci concludes the next recession might see sped-up AI adoption impacting job stability significantly.
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