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Greek Startups Attract Global Investment, Show Continued Growth In 2024

In 2024, Greek-founded startups continued to experience impressive growth, with total funding surpassing $1.3 billion globally, marking an increase of $200 million from 2023. Despite a global liquidity slowdown, this upward trend signals renewed investor confidence after two years of contraction. The sector’s significant achievement includes the acquisition of the Greek technology company BETA CAE by Cadence for $1.2 billion, one of Europe’s largest tech M&A transactions of the year.

Global Funding And Investment Trends

The global funding for Greek startups has been on a steady rise, with 2024’s $1.3 billion exceeding previous years’ totals, such as $962 million in 2019 and $1.2 billion in 2020. Marathon Venture Capital highlighted that major global investors continue to back Greek startups, with Sequoia investing in Reflection AI, Andreessen Horowitz in Kaedim and Pantheon AI, and Alibaba in Connectly, among others. This suggests that despite global market challenges, confidence in the Greek startup ecosystem remains strong.

Funding rounds are relatively stable, with an average of 150 rounds per year. However, the trend of larger funding rounds is evident, as seen in the increase in average seed round size from $1.8 million in 2019 to $3.5 million in 2024, narrowing the gap between Greek and US startup funding rounds.

Notably, growth-stage rounds have seen a rise, with 24 growth rounds in 2024 compared to just 14 in 2019. However, Series A rounds have seen a decline, a reflection of the global trend of reduced early-stage financing following the boom years of 2021 and 2022.

Acquisitions And Exits

Twelve Greek-founded startups were acquired in 2024, including BETA CAE, InAccel by Intel, and Multi by OpenAI. This is a slight dip from the 16 acquisitions in 2023, following the global slowdown in tech mergers and acquisitions. Additionally, exit announcements from startups operating in Greece decreased significantly, with just 3 exits compared to 11 in 2023. However, the BETA CAE deal marked the largest-ever acquisition of a Greek tech company, underscoring the sector’s continued maturation.

Greek Startups On The Rise

Venture capital funding for startups operating in Greece saw a notable 32% increase in 2024, reaching $400 million. A significant portion of this funding—about a third—was directed to AI companies, highlighting AI as a top sector for investment. Other key sectors included healthcare, fintech, and climate technology.

While the number of funding rounds in Greece remained stable at around 60, startups based in Greece tend to secure smaller funding rounds compared to those operating abroad. Startups in tech hubs like London and New York raised larger seed and growth rounds due to higher personnel costs, with average amounts of $5.1 million and $53.3 million, respectively, compared to $2.1 million and $27.8 million for startups in Greece.

The gap in funding size and the fewer exit announcements suggest that startups operating abroad are further along in their development compared to those still active in Greece. Nevertheless, the success of acquisitions like BETA CAE indicates a promising future for Greek startups both locally and globally.

In conclusion, the continued growth and international interest in Greek startups reflect a maturing ecosystem, with over $1 billion in new capital raised annually and a growing number of exits. Ten years ago, this level of success seemed unimaginable, but the sector is now firmly on the global map.

AI Spending Is Complicating The Fed’s Fight Against Inflation

Silicon Valley leaders have long argued that artificial intelligence will make technology and services dramatically cheaper. OpenAI CEO Sam Altman has described a future where intelligence becomes extremely inexpensive, while Tesla and SpaceX CEO Elon Musk has predicted that AI and robotics will create greater abundance and drive down costs.

So far, those benefits have yet to materialise at scale. AI adoption remains relatively slow, while the enormous investment needed for data centres and AI infrastructure is putting pressure on electricity prices, supply chains and other costs. For the Federal Reserve, this creates a difficult balancing act: AI could eventually boost productivity and reduce inflation, but its current buildout is contributing to higher prices.

OpenAI chief economist Ronnie Chatterji said AI needs to be adopted by organisations and generate measurable value before its broader economic impact becomes visible in productivity statistics.

AI Adoption Remains Uneven

Capital spending on AI infrastructure in the U.S. is expected to reach $581 billion this year, according to Goldman Sachs Research, with global investment potentially reaching $1 trillion.

Despite the scale of spending, adoption remains far from universal. A May survey by the U.S. Census Bureau found that 17% to 20% of U.S. businesses reported using AI, with adoption significantly higher among large companies.

Companies that have implemented AI at scale also highlight the challenges. Julie Averill, former CIO of Lululemon, said successful deployment requires changes in employee behaviour and trust in the technology. OpenAI has observed a similar divide: its most advanced business users deploy AI at around eight times the rate of average companies.

Why Productivity Gains May Take Time

Economists point to the limits of automation. AI can perform individual tasks effectively, but many jobs combine tasks that are difficult to automate.

Stanford professor Charles Jones refers to these as “weak links”. Radiology, for example, involves interpreting scans but also communicating with patients and working with colleagues. AI can automate part of the job without eliminating the profession itself.

As a result, the full economic impact of AI may not become clear until businesses adopt the technology more broadly and reorganise their operations around it.

AI Adds To The Fed’s Policy Challenge

AI’s economic impact has become part of the Federal Reserve’s policy debate. Fed Chairman Kevin Warsh has argued that AI could eventually become a significant disinflationary force by increasing productivity and strengthening U.S. competitiveness.

Other officials are more cautious. In July, the Fed kept interest rates at 3.5% to 3.75%, while some officials expressed concern that AI infrastructure spending could add to inflationary pressures.

Minneapolis Fed President Neel Kashkari pointed to massive data-centre investment as a new source of demand. Household electricity prices rose 10% in the two years through July, compared with a 6.2% increase in overall consumer prices. Meanwhile, shortages of chips and other AI components are pushing up costs. JPMorgan Chase estimates that DRAM prices could rise 400% by the end of 2026 compared with 2024.

Warsh has consequently adopted a more cautious tone, saying that while AI investment is laying the groundwork for future growth, the timing and scale of its economic effects remain difficult to predict.

For the Fed, the challenge is clear: AI could eventually deliver major productivity gains, but the cost of building that future is already showing up in the economy.

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