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DOJ’s Bold Move: Breaking Up Google’s Digital Ad Monopoly

In a landmark initiative, the U.S. Department of Justice is pushing for Google to split off key segments of its digital advertising business. The DOJ contends that the tech behemoth is unlawfully monopolizing the ad tech arena, a claim supported by last month’s federal court decision.

The Justice Department aims to expedite the sale of Ad Exchange, a pivotal platform matching advertisers with publishers. Furthermore, they are calling for the gradual divestiture of Google’s DFP ad server, a tool integral for digital ad management. This process, to be overseen by a court official, will grant the DOJ veto power over potential buyers.

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Judge Leonie Brinkema has scheduled a trial for September 22 to finalize the corrective strategies, following the court’s recognition of Google’s adverse effects on consumer markets. Notably, the DOJ has unveiled additional measures, urging Google to integrate third-party tools into its system to maintain bidding fairness.

Google’s parent company, Alphabet, which drew nearly $350 billion in 2024, primarily from ads, is expected to fiercely contest these directives. Their leadership argues that the suggested divestitures, particularly in the ad management sector, exceed the judge’s ruling scope. They also claim that such enforced sales may not align with legal allowances.

Despite these pushbacks, speculation about how innovative strategies might reshape market dynamics is rampant. Meanwhile, Google opposes the measures, advocating instead for sharing advertising data with rivals to enhance competitive practices.

The tech giant also faces scrutiny in another antitrust case related to its search monopoly, leading the DOJ to propose the divestment of Google’s Chrome browser. This separate case, judged by Amit Mehta, is predicted to reach a decision by August, possibly heralding a historic change for Google.

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

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.

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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