AI could boost productivity, but governance and security matter

A string of recent analyses from banks, consultancies, security firms and market researchers underscores a striking consensus: artificial intelligence is poised to deliver large economic gains even as it raises operational, security and regulatory challenges for enterprises. Goldman Sachs, EY, Nightfall AI and others this year laid out projections for longterm productivity upside alongside warnings about the investments and governance required to realize it.

Goldman Sachs told clients that AI-related capital expenditure currently accounts for less than 1 percent of U.S. GDP, far smaller than the roughly 25 percent investment share seen in earlier transformative technology cycles such as electrification and the dotcom boom. The bank estimated that AI-driven productivity could generate about $8 trillion in present-discounted value for the U.S. economy, with a range running from $5 trillion to $19 trillion. Goldman argued that those gains would exceed cumulative AI investment forecasts and that current spending levels pose little macroeconomic risk, while boosting demand for semiconductors, cloud services and infrastructure.

Market indicators point to rapid sector expansion....