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DOJ Pushes For Google To Divest Chrome In Latest Antitrust Salvo

In a seismic shift for the tech industry, the U.S. Department of Justice (DOJ) is gearing up to request a federal court to compel Google to sell off its Chrome web browser. This dramatic move, reported by Bloomberg, marks a critical escalation in the ongoing antitrust battle against the search giant.

Chrome Divestiture: A Game-Changing Proposal

The DOJ’s recommendation to Federal Judge Amit Mehta, who previously ruled on Google’s search monopoly, aims to force the sale of Chrome – a cornerstone of Google’s multi-billion dollar advertising empire. This proposal comes after a summer 2024 ruling that found Google guilty of illegally maintaining a monopoly in the search market.

Beyond Browser Sales: Additional Measures on the Table

Justice Department officials are not stopping at Chrome’s sale. They’re also pushing for Google to license Chrome’s data and results while giving websites enhanced control over their content’s use in Google’s AI products. These measures are designed to create a more competitive digital landscape.

Chrome’s Dominance by the Numbers

Chrome’s market supremacy is stark: it commands a whopping 66.7% of the browser market share, dwarfing competitors like Safari (18%), Edge (5%), and Firefox (3%). This dominance underscores the browser’s critical role in Google’s ecosystem.

The Financial Stakes

The potential sale of Chrome could significantly impact Google’s bottom line. Last quarter alone, Google’s core advertising business, deeply intertwined with Chrome, generated $65.9 billion – a substantial portion of the company’s $88.3 billion total revenue.

A Long Road Ahead

This latest development is part of a broader antitrust saga. Judge Mehta’s August ruling found Google guilty of anti-competitive practices through exclusive distribution agreements and inflated ad pricing. As Google prepares to appeal, the court is set to consider the DOJ’s proposed changes in April 2025, with a final decision expected by August 2025.

As this legal battle unfolds, the tech world watches with bated breath, potentially reshaping the digital landscape and setting new precedents for tech industry regulation.

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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