Yazılar

New York Fed: AI Adoption Has Yet to Cause Significant Job Losses

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Artificial intelligence adoption is rising among businesses in the Federal Reserve’s New York district, but so far it has not significantly reduced employment, according to a blog post from the New York Fed on Thursday.

“Businesses reported a notable increase in AI use over the past year, yet very few firms reported AI-induced layoffs,” Fed economists wrote, noting that retraining is more common than job loss. “So far, the technology does not point to significant reductions in employment,” they added.

Concerns remain that AI could eventually displace higher-paid professional and managerial roles. Investors are pouring capital into AI technologies amid broader labor market softening, but the Fed noted that the true impact on employment is likely to unfold gradually over time.

Looking ahead, firms anticipate AI could eventually lead to layoffs and slower hiring as integration deepens. The survey found AI use among services firms climbed to 40% in the past year, up from 25%, with nearly half planning to adopt it within six months. In manufacturing, AI adoption rose to 26% of firms from 16% a year earlier, with about a third expecting to implement it in the near term.

Fed-BIS Report Finds Monetary Policy Still Effective in Tokenized Financial Systems

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A joint research project between the New York Federal Reserve and the Bank for International Settlements (BIS) has concluded that central banks can effectively conduct monetary policy—and potentially do so more efficiently—in a tokenized, decentralized financial environment, according to a report released on Wednesday.

The findings stem from Project Pine, a prototype initiative developed by the New York Fed’s Innovation Center and the BIS Innovation Hub, aimed at evaluating whether digital tools and blockchain-based systems could support core monetary operations in a future financial system dominated by tokenized assets.

Key Takeaways:

  • The prototype system was able to instantaneously execute monetary policy operations in response to simulated market conditions, preserving central banks’ ability to manage liquidity and interest rates.

  • The report suggests that smart contracts could allow central banks to rapidly deploy or adjust monetary policy tools, making operations more responsive in times of uncertainty.

  • Tokenization refers to digital representations of assets on blockchain platforms, increasingly used in decentralized finance (DeFi) and being explored by wholesale financial markets.

“Future operations could be nimbler in uncertain conditions and potentially reduce frictions between the time of announcements and offerings,” the report noted.

Future Implications for Central Banks:

While there is currently no immediate threat to how central banks implement policy, the report acknowledges that widespread tokenization in wholesale markets could demand participation in new financial infrastructures and interaction with digital tokens to remain effective.

It also points to the growing operational complexity of monetary policy in a hybrid financial system, where automation may need to complement—though not entirely replace—human judgment.

“If the private financial sector adopts tokenization on a broad scale… central banks may need to adapt to novel market infrastructures,” the report states.

Strategic Preparation, Not Reaction

The findings are part of preparatory research to ensure central banks remain capable of navigating an evolving financial landscape. The system tested was not tailored to any specific central bank but was designed to mimic standard monetary operations such as repo transactions, liquidity injections, and interest rate targeting.

While decentralized financial technologies may present new risks, they also offer opportunities for streamlining operations, reducing time lags, and enhancing precision in policy deployment.