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Morningstar DBRS Elevates Greece’s Credit Rating to ‘BBB’ with Stable Outlook

DBRS Morningstar has raised Greece’s credit rating to ‘BBB’ from ‘BBB low,’ citing improved banking stability and the country’s ongoing efforts to reduce its general government debt. This upgrade marks another milestone for Greece, which saw its investment grade status reinstated by DBRS in 2023, with a shift in the outlook from positive to stable.

The credit agency highlighted that Greece’s banking sector, once burdened by legacy risks, has shown considerable recovery, contributing to the country’s positive fiscal performance. Debt reduction has been a key driver of this progress. Since 2020, Greece’s debt, the highest in the eurozone, has been slashed by more than 40 percentage points, now standing at 154% of GDP in 2024, with projections for further declines.

Looking ahead, Greece is expecting a 2.3% growth in economic output for 2025—more than double the eurozone’s forecasted average. The country is also set to achieve a primary budget surplus of 2.4% of GDP, driven by strong tourism revenues and increased investments. As a result, Greece’s debt-to-GDP ratio is expected to fall below 140% by 2027, marking a significant improvement.

This credit rating upgrade is part of a broader trend of positive assessments from other major rating agencies, including S&P Global and Fitch, following a period of 13 years in the junk category. However, Moody’s remains cautious, still rating Greece just below investment grade.

Greek banks, once reeling from the debt crisis and nationalization in 2009, are now on a steady recovery path, posting profits for the first time in years. The European Central Bank gave the green light for dividend payments to resume in 2024, marking a key milestone in the country’s financial recovery.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?

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