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Greek Parliament Unanimously Passes Historic 2026 National Funds Budgets

Groundbreaking Approval In Parliament

For the first time, the Hellenic Parliament has unanimously approved the 2026 budgets for four major national funds. The decision marks an important step in public financial planning and signals broad political agreement on fiscal priorities and spending discipline.

Social Security Fund Budget: A Surplus Vision

The enactment of the first law confirmed the 2026 budget for the Social Security Fund (TEKA), which allocates expenditures amounting to €2,743,074,164. With total revenues estimated at €3,769,782,936, the fund is positioned as surplus. The revenue stream is largely driven by contributions of €3,217,065,000, supplemented by receipts from the National Reserve Fund intended for the minimum pension (€34,451,000), interest earnings of €225,916,292, and additional income of €292,350,644. Notably, the dominant expenditure category is pension disbursements at €2,172,611,000, with further allocations for supplementary benefits, unemployment allowances, procurement of services, administrative expenses, and other outlays.

Central Licensing Fund’s Balanced Outlook

In tandem with the Social Security Fund, Parliament also approved the 2026 budget for the Central Licensing Fund. This fund outlines total expenditures of €132,433,736 against revenues of €144,319,048, emerging with a surplus. Revenues are forecasted mainly from contributions of €140,036,010, interest earnings of €4,248,038, and accrued minor receipts, while expenditures primarily cover licensing disbursements, associated administrative expenses, and contingency allocations.

Protecting Employee Rights in Insolvency

The budget for the Fund for the Protection of Employee Rights in the Event of Employer Insolvency was also given the green light. This fund is designed to manage €231,452 in expenditures against revenues of €33,287,400, indicating a considerable surplus. With revenues predominantly sourced from contributions of €27,417,936 and interest earnings of €5,869,454, the fund’s primary expenses include payments associated with employer insolvency, service procurement by the Social Security Agency, and modest administrative and reserve allocations.

Addressing Excess Personnel Costs

The final fund approved is the Excess Personnel Fund for 2026, which details expenditures of €58,103,793 alongside revenues of €180,819,059. Contributions of €165,168,286 form the major revenue component, complemented by interest and ancillary incomes. The fund’s principal expenses cover compensation for surplus staffing, transfers to the Employee Rights Protection Fund under insolvency, service purchases from the Social Security Services, legal fees, discretionary administrative expenses, and a designated reserve for unforeseen costs.

Strategic Fiscal Oversight

These pioneering budget submissions, presented to Parliament following a proposal by the House of Representatives and in accordance with the Law on Fiscal Responsibility and the Fiscal Framework Law, reflect a robust and balanced approach toward national financial management. This coordinated effort reinforces the government’s commitment to maintaining fiscal discipline while safeguarding essential social benefits and labor rights.

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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