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Greek And Cypriot Banks Propel Economic Growth With Aggressive Credit Expansion

by THEFUTURE.TEAM

May 25, 2026

Robust Q1 Growth Sets The Stage

Banks in Greece and Cyprus are accelerating lending activity, with total credit expansion projected to approach or exceed €15 billion in 2026. The increase is reinforcing the banking sector’s role in supporting profitability and broader economic growth across the region.

Targeted Lending Initiatives And Sector Performance

According to reports by Greek business outlet Newmoney, banks are increasingly relying on credit expansion to sustain earnings growth as interest rate dynamics shift across Europe. First-quarter results already point to strong momentum in lending activity.

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Eurobank has set a target of €3.8 billion in credit expansion this year. National Bank of Greece and Piraeus Bank are each targeting €3 billion, while Alpha Bank aims for €3.5 billion. Smaller lenders are also expanding aggressively, with CrediaBank targeting €1.2 billion and Optima Bank aiming for €1.1 billion.

Notable Banking Results Across Markets

First-quarter results underline the scale of the lending rebound. Banks that have reported Q1 figures recorded cumulative credit expansion of €4.7 billion. Piraeus Bank increased its loan portfolio to €38.6 billion, while net credit expansion reached €1.3 billion across major business segments. At National Bank of Greece, new loan disbursements rose 50%, contributing to net credit expansion of €500 million.

Meanwhile, Eurobank reported a 9.8% increase in net credit expansion to €1.1 billion. In Cyprus, Bank of Cyprus recorded Q1 lending of €829 million, up 9% compared with the end of 2025, while Optima Bank posted a 27% year-on-year increase in loan disbursements to €1 billion.

Sectoral Dynamics And Asset Quality Improvements

A recent report from UBS showed that business lending remained the strongest growth driver in March, increasing 10.9% year-on-year. Consumer lending rose 7.7%, while housing loans increased 1.1%. Asset quality also continued to improve. Non-performing loans declined to 3.3% in Q4 2025, down 30 basis points from the previous quarter, reflecting the sector’s ongoing balance-sheet clean-up.

Despite the strong lending momentum, profitability remained broadly stable in the first quarter. Combined net profits at major banks, including National Bank of Greece, Piraeus Bank, Eurobank, Optima Bank and Bank of Cyprus, totaled €1.12 billion, representing a marginal year-on-year decline of 0.27%.

Profitability And Revenue Breakdown

Profit trends varied across institutions during the quarter. Net profit at National Bank of Greece declined 9.9%, while Piraeus Bank reported a 1.42% decrease. By contrast, Eurobank increased profitability by 5.3%. In Cyprus, Bank of Cyprus reported a 3% increase in profit, while Optima Bank posted a 22% rise. Across the sector, net interest income increased 1.4% to €1.93 billion, although performance differed among individual banks. Fee income recorded stronger growth, rising 20% year-on-year to €590 million.

Long-Term Trends And Strategic Impact

Over the past year, listed banks in Greece and Cyprus generated combined post-tax profits of €5.458 billion, up 15.4% from the previous year. During the same period, net interest income declined 4.2% to €9.307 billion, reflecting pressure from changing rate conditions.

Balance-sheet quality continued to strengthen as non-performing loans fell to €5.7 billion, down 5.2% compared with December 2024. Since March 2016, banks in the two markets have reduced non-performing exposures by an estimated €101.5 billion, equivalent to a cumulative decline of 94.7%.

The sustained improvement in asset quality, combined with expanding loan portfolios, is reinforcing the sector’s role in financing business activity and economic recovery across Greece and Cyprus.

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AI Spending Is Complicating The Fed’s Fight Against Inflation

by News Editor

August 12, 2026

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.

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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.