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Payment Of €4.843 Per Share Finalizes Eurobank’s Complete Acquisition

Squeeze-Out Completion

Eurobank S.A., a subsidiary of Eurobank Ergasias Services and Holdings S.A., has consummated its acquisition of Hellenic Bank Public Company Limited through a meticulously executed squeeze-out process. In response to the May 8, 2025, approval from the Cyprus Securities and Exchange Commission (CySEC), the bank secured 100% ownership by exercising its squeeze-out rights.

Transaction Details

Under the terms of the transaction, Eurobank disbursed €4.843 per Hellenic Bank share, mirroring its earlier takeover bid. On June 10, 2025, eligible shareholders received the full consideration through multiple payment channels including cheque postings to addresses registered in the Central Securities Depository or Cyprus Stock Exchange Central Registry, direct bank transfers, and allocations to dedicated accounts for pledged or frozen shares. In compliance with Article 36 of the Takeover Bids Law (2007-2022) and related regulatory frameworks, the Cyprus Stock Exchange has officially recorded the transfer of the remaining 8,279,967 shares, corresponding to 2.006% of the bank’s issued capital.

Strategic Rebranding And Integration

Amid its legal consolidation with Eurobank Cyprus, Hellenic Bank is poised for a brand transformation into Eurobank Limited, pending the necessary supervisory approvals. This strategic rebranding effort is designed to reinforce customer trust and deliver enhanced services by leveraging the robust operational framework and strategic expertise of the Eurobank Group. CEO Michalis Louis underscored that the name change symbolizes a renewed commitment to excellence and customer engagement as the newly consolidated entity embarks on a promising future.

Moonshot’s Kimi K2: A Disruptive, Open-Source AI Model Redefining Coding Efficiency

Innovative Approach to Open-Source AI

In a bold move that challenges established players like OpenAI and Anthropic, Alibaba-backed startup Moonshot has unveiled its latest generative artificial intelligence model, Kimi K2. Released on a late Friday evening, this model enters the competitive AI landscape with a focus on robust coding capabilities at a fraction of the cost, setting a new benchmark for efficiency and scalability.

Cost Efficiency and Market Disruption

Kimi K2 not only offers superior performance metrics — reportedly surpassing Anthropic’s Claude Opus 4 and OpenAI’s GPT-4.1 in coding tasks — but it also redefines pricing models in the industry. With fees as low as 15 cents per 1 million input tokens and $2.50 per 1 million output tokens, it stands in stark contrast to competitors who charge significantly more. This cost efficiency is expected to attract large-scale and budget-sensitive deployments, enhancing its appeal across diverse client segments.

Benchmarking Against Industry Leaders

Moonshot’s announcement on platforms such as GitHub and X emphasizes not only the competitive performance of Kimi K2 but also its commitment to the open-source model—rare among U.S. tech giants except for select initiatives by Meta and Google. Renowned analyst Wei Sun from Counterpoint highlighted its global competitiveness and open-source allure, noting that its lower token costs make it an attractive option for enterprises seeking both high performance and scalability.

Industry Implications and the Broader AI Landscape

The introduction of Kimi K2 comes at a time when Chinese alternatives in the global AI arena are garnering increased investor interest. With established players like ByteDance, Tencent, and Baidu continually innovating, Moonshot’s move underscores a significant shift in AI development—a focus on cost reduction paired with open accessibility. Moreover, as U.S. companies grapple with resource allocation and the safe deployment of open-source models, Kimi K2’s arrival signals a competitive pivot that may influence future industry standards.

Future Prospects Amidst Global AI Competition

While early feedback on Kimi K2 has been largely positive, with praise from industry insiders and tech startups alike, challenges such as model hallucinations remain a known issue in generative AI. However, the model’s robust coding capability and cost structure continue to drive industry optimism. As the market evolves, the competitive dynamics between new entrants like Moonshot and established giants like OpenAI, along with emerging competitors on both sides of the Pacific, promise to shape the future trajectory of AI innovation on a global scale.

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