Eurobank Begins €288 Million Share Buyback Programme

Programme Overview And Financial Parameters

Eurobank S.A. has announced the launch of a share buyback programme after receiving the required regulatory approvals. The programme was approved by shareholders at the bank’s annual general meeting on April 28, 2026, and subsequently authorised by the European Central Bank on June 8, 2026. Under the plan, Eurobank may acquire up to 363,151,080 shares, representing 10% of its paid-up share capital. The authorised purchase price ranges from a minimum of €0.22 to a maximum of €10.00 per share, with total expenditure capped at €288 million.

Expert Management And Regulatory Compliance

Eurobank has appointed Eurobank Equities Investment Firm Single Member Societe Anonyme, a member of Euronext Athens, to manage the programme. The firm will execute transactions independently in accordance with applicable European Union regulations governing market abuse and trading transparency. Details of transactions will be disclosed to regulators and the market in line with legal reporting requirements.

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Implementation Timeline

The share buyback programme may run for up to 12 months and is scheduled to conclude on June 8, 2027. According to the bank, the programme forms part of its capital management strategy following the completion of the required approval process.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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