In a rare departure from tradition, the Bank of Italy’s governor, Fabio Panetta, used the central bank’s annual assembly to reveal that the institution is in active talks with the world’s leading artificial intelligence developers. The announcement, delivered on Friday, highlights a strategic shift: instead of regulating AI from a distance, Italy’s central bank intends to understand and shape the technology from within.
Panetta’s broader argument was economic. Italy has struggled with a chronic productivity problem for two decades, with output per worker growing only marginally. He presented AI as a potential remedy. Under a scenario of slow adoption, AI might increase Italian productivity by a modest 0.2 percentage points per year. But with rapid, widespread uptake, the technology could add more than a full percentage point annually. Over a decade, this difference compounds into dramatically different economic futures for a nation that has long sought a sustained growth engine.
The adoption gap
Panetta underscored a critical gap: approximately 30% of Italian firms use AI in some form, but only about 5% use it intensively. This contrast reveals a situation where a technology is widely sampled but not deeply integrated. The difference between experimentation and deep deployment is precisely what determines whether AI becomes a minor tailwind or a major driver of productivity. Italy sits squarely in this gap, and closing it requires more than just availability—it demands infrastructure, capital, and cultural change within businesses.
The financing environment is a key bottleneck. Panetta argued that Italy needs deeper venture capital and private equity industries. Domestic AI startups often sell early or move abroad because they cannot scale locally. This is a recurring European complaint: the continent produces world-class researchers and founders but historically lacks the growth capital to turn them into large homegrown companies. Panetta called for a strengthening of these financial layers, so that Italian AI ventures can scale domestically rather than leaving for more mature ecosystems elsewhere.
The timing and the players
The governor’s comments come at a moment of heightened activity. Earlier this week, Anthropic opened a Milan office, naming Italian enterprise customers such as Generali and Enel. Other major US labs are also courting Italian institutions directly. By revealing that the Bank of Italy is in contact with these firms, Panetta signals that Rome intends to shape how the technology arrives rather than simply receiving it. The central bank is also engaging with Italian lenders to discuss practical deployments of AI—talks that could transform banking services, risk management, and operational efficiency.
This proactive posture stands in contrast to a more regulatory-heavy approach adopted by some other European central banks. Instead of waiting to see how AI evolves and then imposing rules, the Bank of Italy is seeking early dialogue, aiming to understand the capabilities and risks from the inside. This could position Italy as a pilot market for AI in finance, but also carries the risk of being a test bed without capturing the long-term economic benefits.
Historical context: Italy’s productivity struggle
To appreciate the importance of Panetta’s remarks, one must understand Italy’s long-standing productivity malaise. Since the early 2000s, Italian productivity growth has lagged behind most of its European peers. Factors include a fragmented industrial base dominated by small and medium-sized enterprises (SMEs), low investment in digital technologies, rigid labor markets, and a banking system that has been hesitant to finance innovation. The COVID-19 pandemic temporarily disrupted these patterns but did not fundamentally alter them. AI is now seen as one of the few levers that could break the deadlock—provided adoption accelerates.
Panetta’s numbers illustrate the stakes. Annual labor productivity growth in Italy has averaged below 0.5% in many years. Adding even 0.2 percentage points from AI is non-trivial, but the difference between 0.2 and 1.0 is the difference between stagnation and catching up with the Eurozone average. With compounded growth over a decade, a 1-percentage-point annual boost would raise living standards substantially.
The venture capital imperative
To achieve rapid adoption, the governor called for a more robust venture capital ecosystem. Italy has made strides in recent years—the venture capital market reached record levels in 2021 and 2022—but comparisons with the United Kingdom, Germany, and France show Italy still lags. Many Italian startups are forced to accept early acquisition offers from foreign companies or relocate to Silicon Valley or London. A deeper domestic pool of late-stage capital could help them stay and become anchors for a local AI industry.
Panetta’s speech also touched on the role of private equity in scaling AI deployment. While venture capital targets early-stage innovation, private equity can fund the transformation of existing businesses, helping them integrate AI into their core operations. This dual approach—nurturing new ventures while modernizing incumbents—mirrors strategies seen in other high-productivity regions.
International comparisons
Other central banks are also engaging with AI, but rarely with such transparency. The Federal Reserve has conducted research on AI in financial services, the European Central Bank has published studies on the macro-economic effects of automation, and the Bank of England has set up an AI task force. However, naming specific conversations with frontier AI firms is unusual. It suggests that the Bank of Italy views AI not as a distant threat but as an immediate opportunity that requires hands-on engagement.
Italy’s approach also fits a broader Italian trend of digitalization. The country has accelerated digital infrastructure under the National Recovery and Resilience Plan, and the spread of AI could leverage those improvements. Yet the digital skills gap remains wide; many Italian workers still lack the basic competencies to use advanced AI tools. This is why Panetta emphasized not just capital but also education and training—though not explicitly stated, the implication is that adoption requires human capital investment as well.
What to watch next
The governor’s remarks are a directional statement rather than a binding commitment. The substance worth monitoring is whether the talks with Italian banks translate into concrete pilot projects and then into full-scale deployments. Another indicator will be the flow of venture capital into domestic AI startups in the coming quarters. If the financing ecosystem Panetta called for materializes, then Italy could begin to close its adoption gap. If not, the gap between sampling and serious use will persist.
Panetta’s speech has effectively put the Bank of Italy on record: it is no longer a passive observer of AI evolution. By engaging directly with the world’s big AI firms, it aims to help steer the technology’s arrival in Italy, ensuring that the country benefits from the productivity boost that other economies are chasing. Whether this translates into action remains to be seen, but the signal is clear: the central bank wants Italy to move faster, and it is prepared to be part of that journey.
Source: TNW | Government-Policy News