Italy’s economic growth challenges have long been tied to weak productivity performance, a structural issue that has constrained competitiveness and limited income growth for decades. Now, the country’s central bank believes artificial intelligence could become a powerful catalyst for change. Speaking at the Bank of Italy’s annual assembly, Governor Fabio Panetta argued that AI adoption has the potential to significantly improve labor productivity, offering a rare opportunity to address one of the nation’s most persistent economic weaknesses.

AI Seen as a Major Productivity Driver

According to Panetta, the economic impact of artificial intelligence will largely depend on how quickly and broadly businesses adopt the technology. Under a conservative scenario, AI could increase Italian labor productivity by approximately 0.2 percentage points per year. However, if adoption accelerates across industries and becomes deeply integrated into business operations, productivity growth could exceed one percentage point annually.

Such an improvement would represent a meaningful shift for Italy, where productivity growth has consistently lagged many advanced economies. Stronger productivity typically translates into higher wages, improved corporate profitability, greater economic output, and enhanced global competitiveness. For policymakers seeking sustainable long-term growth, AI is increasingly viewed as a strategic economic tool rather than merely a technological trend.

Italy Faces an Adoption Gap

Despite growing enthusiasm surrounding artificial intelligence, Italy remains behind many international peers in implementation. Panetta noted that approximately 30% of Italian companies currently use AI in some form, but only around 5% employ the technology intensively within their operations.

This gap highlights a broader challenge facing the Italian economy. While awareness of AI is increasing, many businesses—particularly small and medium-sized enterprises—have yet to make the investments required to fully integrate advanced technologies into their workflows. Limited access to capital, skill shortages, and slower digital transformation initiatives have all contributed to the relatively modest adoption rates.

The central bank governor emphasized that public-sector support may be necessary to accelerate deployment and help businesses capture the productivity gains associated with AI-driven innovation.

Investment Ecosystem Remains Critical

Panetta also stressed that technological progress requires a stronger financial foundation. He argued that Italy must continue developing its venture capital and private equity industries to support innovation and enable emerging companies to scale more effectively.

Compared with several major European economies and the United States, Italy’s startup financing ecosystem remains relatively underdeveloped. Expanding access to growth capital could help accelerate AI research, commercialization, and implementation across key sectors of the economy.

The Bank of Italy has already begun engaging with major global AI developers and has initiated discussions with domestic financial institutions regarding practical adoption strategies, signaling that regulators are increasingly focused on integrating AI into both the public and private sectors.

Looking Ahead

Artificial intelligence is unlikely to solve Italy’s structural economic challenges overnight, but policymakers increasingly view it as one of the most promising tools available to improve productivity and support long-term growth. The pace of adoption, availability of investment capital, and ability of businesses to integrate AI effectively will ultimately determine whether Italy can translate technological potential into measurable economic gains. As global competition intensifies, accelerating AI deployment may become not only an opportunity but an economic necessity.