Mary C. Daly, the President of the San Francisco Federal Reserve, addressed the potential of artificial intelligence at an event titled "The AI Moment? Possibilities, Productivity, and Policy" held in San Jose, California. She recognized AI's promising capabilities, while also highlighting a significant concern: regulatory hurdles may prevent the technology from achieving meaningful productivity improvements.
Despite substantial investments in AI infrastructure and development, evidence showing major productivity gains in the macroeconomic landscape is still sparse. Most studies that Daly referenced suggest only slight progress in overall productivity levels to date.
#What Are the Lessons From Past Technological Advances?
Daly drew comparisons between the current state of AI and previous technological revolutions, particularly the transition to electricity and the rise of information technology. She noted that while some sectors like call centers, software development, and financial services show early signs of productivity impact, they remain modest.
To gain clearer insights, Daly argued for a deeper analysis of micro-level data by the Federal Reserve. She suggested that by increasing their engagement with businesses, the Fed could better understand the productivity trends that may not yet be captured in the broad economic statistics. This idea echoes the approach taken by former Fed Chairman Alan Greenspan during the computing boom of the 1990s, when he leveraged detailed business intelligence to gauge productivity insights.
#How Do Regulations Affect AI Innovation?
Daly particularly pointed out that state-level regulations surrounding AI could hinder innovation. These rules may disproportionately impact startups, making it harder for them to compete against larger firms that have more resources. Moreover, achieving sustained productivity growth from AI is not solely about adopting the technology. Companies must also undergo significant changes in their work processes and organizational frameworks to harness its full potential.
#What Should Investors Consider?
Daly's comments are critical for investors with interests in AI-related assets. The Federal Reserve's evaluation of AI's influence on productivity directly impacts its forecasts for economic growth, inflation, and interest rates. Should the Fed determine that AI has yet to produce substantial productivity gains, it could temper expectations for robust economic growth.
The ongoing regulatory environment also plays a crucial role. If state regulations continue to grow without a standardized federal approach, AI projects may face a fragmented compliance landscape. This situation could increase costs and uncertainty, placing a higher burden on startups that are typically less equipped to handle such complexities.
If the Federal Reserve begins to uncover micro-level evidence indicating productivity improvements due to AI through its business outreach initiatives, this could quickly alter the prevailing narrative. Instead of focusing primarily on aggregate economic indicators, investors should pay close attention to the Fed’s research publications and regional surveys, where early signs of productivity shifts are likely to emerge first.