Greek PM Says AI Is Moving Faster Than Policy as He Courts Tech Investment in San Francisco

Greek Prime Minister Kyriakos Mitsotakis used a San Francisco visit on Monday to sell Greece as a rising destination for tech investment while warning that governments are still struggling to keep up with artificial intelligence. Speaking to founders, investors and operators on the waterfront edge of the city’s Financial District, he said the world is already being forced to confront “yesterday’s battle” as AI advances faster than policy, child safety rules and education systems can adapt.

The trip mattered for more than symbolism. Mitsotakis was in the Bay Area to pitch Greece as a place for startups, data centers and research infrastructure at a moment when the country is trying to turn a hard-won economic recovery into a durable technology story. He also framed the visit as a fact-finding mission, after stops at Tesla and Sequoia Capital, before heading to the United Nations General Assembly in New York later in the week.

At the same time, he spoke more openly than many heads of government do about the uncertainty around AI. Rather than offering a polished policy blueprint, he described a set of unresolved questions: how to protect children from always-on chatbots, how to use AI in schools without weakening fundamental learning, how to prepare for job displacement, and whether AI development should slow down until society has a better grip on the risks.

Why Greece is courting the tech world now

Greece wants to turn a post-crisis recovery into a broader economic repositioning, and Mitsotakis is presenting the country as proof that the turnaround is real. One of his central arguments in San Francisco was that Greece is no longer viewed as a financial outlier. He pointed to the country’s improving credit profile and said it is paying down debt at a record pace.

The prime minister also emphasized the country’s growing attractiveness to international investors. Greece is expected to regain developed-market status next year from MSCI, a development he described as a sign that the economy has moved beyond emergency footing. For a government still trying to convince global capital that the country offers stability, that label matters.

He even made a comparison that, in the context of Greece’s debt-crisis history, would have seemed almost absurd a decade ago: Greek borrowing costs are currently lower than those in the United States. The point is partly rhetorical, since eurozone rates differ from U.S. rates for structural reasons, but the contrast remains a powerful illustration of how much the country’s finances have changed.

A pitch to founders and investors

Mitsotakis was not only speaking about sovereign finances. He was also making a direct business case to the people in the room. Greece, he argued, has lowered barriers for company formation, adjusted its labor framework and updated the tax treatment of stock options. For returning Greeks, he said, the country offers sharply reduced taxes for as long as seven years.

That message is aimed at a practical audience: founders deciding where to base teams, investors looking for cost-effective markets, and Greek professionals weighing whether to come home. The pitch is that Greece now combines lower operating costs with a European location, improving public infrastructure and a government eager to be seen as startup-friendly.

Mitsotakis also said the state has been trying to make life easier for ordinary citizens and entrepreneurs through digital modernization. A large share of the roughly €36 billion Greece received from the European Union’s post-pandemic recovery program has gone into digital systems, including online public-service tools designed to reduce waiting lines and paperwork.

He said the country’s improved economic position shows Greece is no longer treated as a special case, and he argued that the shift should make the country more credible to global investors and tech companies.

What Greece did with its recovery money

One of the clearest themes in Mitsotakis’s remarks was that Greece used post-COVID funding not just to plug holes, but to upgrade the state and prepare for the next technological era. Among the projects he highlighted was a new supercomputer in Lavrio, built with help from Hewlett Packard Enterprise and expected to come online within months. He said the machine will support AI work and scientific research.

That kind of infrastructure matters for a country trying to move from being a consumer of technology to a producer of it. Supercomputing capacity can support academic research, climate modeling, industrial applications and training for AI systems. It is also a political signal: the government wants to show it is investing in capability, not just attracting headlines.

Digital public services were another centerpiece. Greece has been rolling out online portals that allow citizens to handle bureaucratic tasks without standing in lines at government offices. In a country whose public administration has long carried a reputation for slow service, that improvement is more than a convenience. It is part of a broader effort to show that the state itself can become more modern and business-friendly.

Key investment themes Mitsotakis highlighted

• Digitized public services to reduce friction for citizens and companies
• A new supercomputer in Lavrio for AI and research workloads
• Tax changes aimed at making stock compensation more attractive
• Lower taxes for Greeks who return from abroad
• Labor reforms intended to make hiring easier
• Visa channels designed to attract foreign talent, though with slower processing than the government would like

How does Greece want to win back talent?

Greece’s strategy is to reverse the brain drain that intensified during the debt crisis, when many younger Greeks left because they saw few opportunities at home. Mitsotakis wants to persuade at least some of those people to return, while also making the country attractive enough to draw in workers and founders from elsewhere.

That effort now runs on two tracks. The first is economic: if the country offers competitive taxes, a more digital state and easier company formation, it becomes more plausible as a business base. The second is cultural: the prime minister wants Greece to look like a place where technology careers can be built without sacrificing quality of life or access to Europe.

He also suggested that tightening U.S. visa pathways could work in Greece’s favor. If founders and specialists find it harder to place teams in the United States, he argued, some may consider hiring in Greece instead. In that sense, the country is positioning itself not only as a destination for Greek talent returning home, but as a practical backup for international companies looking for skilled workers in a friendlier setting.

There is also a domestic angle. Mitsotakis volunteered that universities, which he said once looked skeptically at business and were influenced by a more radical political culture, are now producing startups. That change matters because universities are often where the next generation of founders, engineers and researchers emerge. A more entrepreneurial academic ecosystem can strengthen a country’s innovation pipeline over time.

Why AI regulation worries the Greek prime minister

When the conversation shifted from business development to AI’s social impact, Mitsotakis became notably cautious. He did not present himself as someone with a finished regulatory theory. Instead, he suggested that governments everywhere are trying to respond after the fact, while the technology is already changing behavior faster than they can measure it.

One example is Greece’s upcoming ban on social media use for children under 15, which is scheduled to take effect in January. That policy reflects a growing international concern about the effects of digital platforms on young people. But Mitsotakis hinted that even this debate may now be moving too slowly, because the next wave of products is not just social media. It is AI companions.

He warned that policymakers may already be “fighting yesterday’s battle,” noting that children are beginning to grow up with digital companions and AI-generated relationships that can feel emotionally sticky in ways governments are only beginning to understand.

The phrase cuts to the core of the policy dilemma. Social media regulation was built around feeds, likes and content moderation. AI chatbots introduce something more intimate: systems that simulate conversation, respond in real time and can mimic empathy, friendship or romance. That raises new questions about emotional dependence, age verification, mental health and the boundaries between utility and manipulation.

The child safety challenge

Mitsotakis’s comments suggest that countries may need to update their approach to online child protection. A ban on social media may help with one category of risk, but AI systems can create a different type of exposure. They can be available at any hour, respond personally and sustain engagement in ways that are harder for parents or regulators to detect.

For policymakers, that means a familiar framework may no longer be enough. Content rules do not fully address companionship products. Age gates do not necessarily explain how to handle emotionally persuasive bots. And enforcement becomes more complicated when the interaction is private, conversational and customized.

What did Mitsotakis say about AI in education?

He said AI could be useful in schools, but only if it is used to support learning rather than shortcut it. Greece has already run an education pilot with OpenAI that focuses on cutting administrative work for teachers, and he said there is promise in personalized tutoring tools. But he was clear that technology should not replace the difficult process of mastering the basics.

That distinction is important. In theory, AI tutors could help students move at their own pace, provide extra explanations and free teachers from repetitive tasks. In practice, they can also make it easier for students to avoid doing the work themselves. Mitsotakis acknowledged that reality, saying students are already using chatbots for homework and that complacency is a very human habit.

His comments align with a broader debate playing out in schools worldwide. Educators are trying to decide whether AI will become a powerful support tool, a cheating machine, or some combination of the two. The answer likely depends on how schools redesign assignments, how they assess knowledge and how they train teachers to use the tools safely.

Potential benefits and risks in classrooms

1. Benefit: AI can reduce teachers’ administrative load.
2. Benefit: Personalized tutoring may help students who need extra support.
3. Risk: Students may use chatbots to complete work without learning.
4. Risk: Overreliance could weaken foundational reading, writing and problem-solving skills.
5. Risk: Schools may struggle to update assessment methods quickly enough.

Why data centers are not yet a political flashpoint in Greece

While many countries are seeing growing resistance to data center construction because of concerns about energy consumption, water use and land impact, Mitsotakis said Greece has not experienced the same backlash. He described the country as an exception and pointed to two prominent examples of infrastructure investment already underway.

Microsoft is building a cluster of data centers near Athens, and Amazon Web Services recently announced a deal with Greece’s largest utility to develop the country’s biggest data center in a former coal region. In Mitsotakis’s telling, those projects are welcomed rather than resisted because they fit with the country’s broader industrial transition.

The location matters. A former coal region has symbolic value: it signals a shift from an old energy model to a new digital one. For local communities that have lived through industrial decline, the arrival of a major data center can look like a replacement strategy rather than a burden. That is not to say every issue has disappeared, but Greece’s current political climate appears more open to the investment than some peers.

This relative openness could become a competitive advantage. Countries competing for AI infrastructure are often faced with a trade-off between attracting capital and managing local opposition. If Greece can keep public sentiment broadly supportive, it may secure a stronger position in the race for cloud, AI and compute investment.

How serious is the job-displacement threat?

According to Mitsotakis, very serious. He said job losses are coming and that no government or society is prepared for the speed at which they may arrive. That is a striking admission from a national leader eager to court technology investment, because it acknowledges the downside of the very transformation he is promoting.

His view reflects a concern that spans industries. AI does not merely automate one repetitive task at a time; it can also reshape entire workflows in areas such as customer support, coding, design, research and administrative work. If adoption accelerates, the labor market may feel the effects quickly, with uneven benefits across skill levels and sectors.

That is why he argued that some kind of smart regulation is inevitable. He also said the United States will largely determine what that regulation looks like, given its dominance in frontier model development and AI business leadership. Greece, he added, would be happy to host the conversation, even if it is not the country that ultimately sets the global rulebook.

He aligned himself with frontier-model leaders who have publicly warned that they do not fully understand what their systems will become, saying policymakers should pay attention when the builders themselves say they need to slow down and think.

What makes Greece a place for the AI debate?

Mitsotakis argued that Greece has both historical and practical reasons to become a venue for deeper discussions about technology and society. Historically, Athens is associated with philosophy, civic debate and questions about the good life. Practically, he believes the country can assemble a mix of technologists, social scientists, philosophers and historians in a way that feels natural rather than performative.

His point is that AI is not just a technical story. It is a social, ethical and political one. If machine intelligence is increasingly able to assist, advise and perhaps even shape human decision-making, then the conversation cannot be left entirely to engineers and investors. It also needs people trained to ask what human flourishing looks like when software becomes more capable than any tool before it.

That framing gives Greece a larger ambition than merely hosting a few data centers or attracting startup offices. The country wants to matter in the policy conversation itself. In that sense, Mitsotakis is trying to position Greece as both a beneficiary of AI investment and a forum for debating its consequences.

A San Francisco trip with two messages

The San Francisco appearance therefore served two goals at once. On one level, it was a straightforward investment pitch: Greece is stable again, its economy is improving, its digital infrastructure is expanding and the state is more welcoming to founders than in the past. On another level, it was a candid policy discussion: AI is arriving faster than governments can adapt, and no one has a full answer yet.

That combination made the event unusual for a trade mission. Heads of government typically emphasize certainty, not ambiguity. Mitsotakis did the opposite in key moments, acknowledging the speed of change and the incompleteness of current policy responses. That honesty may resonate with the tech audience he addressed, many of whom are themselves grappling with the same uncertainties.

It also helped him make Greece’s case more credibly. A country trying to attract AI investment cannot simply promise low taxes and faster permits. It also has to show that it understands the social and ethical tensions that come with the technology. By speaking directly about children, schools, work and regulation, Mitsotakis offered a broader pitch: Greece wants not just the capital, but the conversation.

Timeline: Greece’s AI and tech pitch

What this means for Europe and the AI race

Greece’s pitch matters beyond its borders because it offers a glimpse of how smaller European economies may try to compete in the AI era. The strategy is not to outspend the United States or dominate model development. It is to build enough infrastructure, policy flexibility and talent attraction to become useful to the companies that are shaping the market.

That can take several forms: a friendly place for data centers, a base for regional teams, a lab for research, or a test case for digital government. If successful, Greece could show that a country recovering from debt distress can reinvent itself around technology and still raise serious questions about the consequences of that technology.

Mitsotakis’s comments also reflect a growing mood in Europe. Governments want the economic upside of AI, but many are increasingly uneasy about child safety, labor disruption and the concentration of power in frontier labs. Greece is not unique in feeling that tension, but the prime minister’s public candor suggested he is comfortable saying what many leaders prefer to keep private: the world is still improvising.

For now, Greece is trying to convert that improvisation into opportunity. It is modernizing state services, courting compute investment, revising tax policy and encouraging diaspora return. At the same time, it is confronting the reality that the same technology attracting capital could also challenge schools, families and labor markets. That duality is exactly what made Mitsotakis’s San Francisco remarks notable.

He came to promote Greece, but he left a sharper impression by admitting the limits of what governments know. In a field defined by speed, hype and uncertainty, that kind of restraint may be one of the more valuable political signals on offer.