Google to appeal against part of US court's decision in monopoly case
Alphabet's Google plans to appeal against the "adverse" portion of the court decision in the U.S. Department of Justice's monopoly case against the technology giant.
On Thursday U.S. District Judge Leonie Brinkema found Google liable for "willfully acquiring and maintaining monopoly power" in markets for publisher ad servers and ad exchanges.
Publisher ad servers are platforms used by websites to store and manage their digital advertising inventory. Along with ad exchanges, the technology allows news publishers and other online content providers make money by selling advertising.
The judge also ruled that Google illegally dominates two markets for online advertising technology.
The company said on Friday that the judge had issued a mixed decision, where she ruled that the DOJ failed to show that Google's advertiser tools or acquisitions of DoubleClick and AdMeld were anticompetitive but that Google's publisher tools violated antitrust laws by excluding rivals.
The DOJ had said that Google should have to sell off at least its Google Ad Manager, which includes the company's publisher ad server and ad exchange.
(Reporting by Tanay Dhumal in Bengaluru Editing by David Goodman)
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Al Etihad
12 hours ago
- Al Etihad
Meta creating new AI lab to pursue ‘superintelligence'
10 June 2025 23:12 SAN FRANCISCO (THE NEW YORK TIMES NEW SERVICE)Meta is preparing to unveil a new artificial intelligence research lab dedicated to pursuing "superintelligence,' a hypothetical AI system that exceeds the powers of the human brain, as the tech giant jockeys to stay competitive in the technology has tapped Alexandr Wang, 28, the founder and CEO of AI startup Scale AI, to join the new lab, sources said, and has been in talks to invest billions of dollars in his company as part of a deal that would also bring other Scale AI employees to the has reportedly offered seven- to nine-figure compensation packages to dozens of researchers from leading AI companies such as OpenAI and Google, with some agreeing to join, sources new lab is part of a larger reorganisation of Meta's AI Zuckerberg, Meta's CEO, has invested billions of dollars into turning his company, which owns Facebook, Instagram and WhatsApp, into an AI OpenAI released the ChatGPT chatbot in 2022, the tech industry has raced to build increasingly powerful AI. Zuckerberg has pushed his company to incorporate AI across its products, including in its smart glasses and a recently released app, Meta in the race is crucial for Meta, Google, Amazon and Microsoft, with the technology likely to be the future for the industry. The giants have pumped money into startups and their own AI has invested more than $13 billion in OpenAI, while Amazon has plowed $8 billion into AI startup behemoths have also spent billions to hire employees from high-profile startups and license their technology. Last year, Google agreed to pay $3 billion to license technology and hire technologists and executives from a startup that builds chatbots for personal February, Zuckerberg, 41, called AI "potentially one of the most important innovations in history.' He added, "This year is going to set the course for the future.'Meta and Scale AI declined to comment. Bloomberg earlier reported that Wang was joining the new Meta is regarded by leading researchers to be a futuristic goal of AI Google and others have said their immediate aim is to build "artificial general intelligence,' or AGI, shorthand for a machine that can do anything the human brain can do, which is an ambition with no clear path to success. Superintelligence, if it can be developed, would go beyond AGI in its has invested in AI for more than a decade. Zuckerberg created the company's first dedicated AI lab in 2013, after losing out to Google in trying to acquire a seminal startup called DeepMind. DeepMind is now the core of Google's AI then, Meta's research efforts have been overseen by its chief AI scientist, Yann LeCun, who is also a New York University professor. LeCun is a pioneer of neural networks, the technology that drives ChatGPT and similar ChatGPT caused an explosion of interest in AI, Meta deployed additional resources to pursue the technology. One of Meta's strategies for gaining ground in AI has been to "open source' its software, essentially giving away its AI code freely so that developers and others adopt its tools. The company released an open-source AI model, Llama, and its chatbot product, Meta AI was incorporated across Facebook, Instagram and WhatsApp, as well as in its Ray-Ban smart glasses. In May, Zuckerberg said more than 1 billion people used Meta AI every month.
Al Etihad
12 hours ago
- Al Etihad
No class action for Google privacy lawsuit, judge rules
10 June 2025 23:24 (REUTERS)People who accused Google of illegally collecting their personal information - after they chose not to synchronise their Google Chrome browsers with their Google accounts - cannot sue the Alphabet unit as a group in a class action, a US judge a decision on Monday, US District Judge Yvonne Gonzalez Rogers in Oakland, California agreed with Google that it was appropriate to address case-by-case whether millions of Chrome users understood and agreed to its data collection policies."Inquiries relating to Google's implied consent defense will overwhelm the damages claims for all causes of action," Rogers dismissed the proposed damages class action with prejudice, meaning it cannot be brought again. The judge also said Chrome users cannot seek policy changes as a actions let plaintiffs seek potentially greater recoveries at lower cost than they could in individual decision followed a ruling last August by the federal appeals court in San Francisco, which said Rogers should consider whether reasonable Chrome users consented to letting Google collect their data when they browsed users pointed to Chrome's privacy notice, which said they "don't need to provide any personal information to use Chrome" and Google would not collect such information unless they turned on the "sync" had dismissed the case in December 2022. She said she oversees two other privacy cases against Mountain View, California-based Google, but the claims in those cases differed "significantly." The appeals court ruling followed Google's 2023 agreement to destroy billions of records to settle a lawsuit claiming it tracked people who thought they were browsing privately, including in Chrome's "Incognito" mode.
Arabian Post
17 hours ago
- Arabian Post
OpenAI Doubles to $10 Billion in Annual Recurring Revenue
OpenAI has reported a substantial increase in annual recurring revenue, rising to $10 billion as of June 2025—nearly double the $5.5 billion recorded in December 2024. This leap underscores the robust commercial appetite for its offerings, driven by consumer subscriptions, enterprise usage, and API sales. The fuel behind this surge is ChatGPT, which now boasts over 500 million weekly active users and around 3 million paying business and education customers. Its growth trajectory remains steep even as additional toolsets, such as API services, enhance OpenAI's revenue streams. Despite this revenue boom, profitability remains elusive. The firm reportedly incurred losses of approximately $5 billion last year, with break-even projected only by 2029 when it aims to achieve $125 billion in annual revenue. These figures reflect ongoing heavy investments in AI infrastructure, research and development, and talent acquisition. ADVERTISEMENT OpenAI is also broadening its technological and strategic footprint. In May 2025, it entered a landmark cloud computing agreement with Google, diversifying away from previous reliance on Microsoft Azure. This partnership adds to its compute alliance with SoftBank, Oracle and CoreWeave, easing the strain of escalating demand. Concurrently, OpenAI continues work on in‑house chip development and hardware integration through acquisitions such as Jony Ive's start-up and Windsurf. Industry rivals are also reporting strong performance. Anthropic has surpassed $3 billion in ARR, while code-focused AI tool Cursor has reached half a billion. Yet none of these entities are yet profitable, underscoring the capital-intensive nature of advancing large-scale generative AI. Signs of slowing adoption have begun to appear in some markets. In the United States, the share of businesses paying for AI model subscriptions grew to around 40% but entered a stalling phase in May—suggesting a potential saturation point in enterprise uptake. OpenAI's financial position continues to draw heavy investment. In March, it closed a record-breaking $40 billion funding round led by SoftBank, valuing the company at roughly $300 billion. Microsoft, which holds significant equity and provides foundational cloud infrastructure, accounts for 20% of OpenAI's revenue share, though its licensing income is excluded from the $10 billion figure. Looking ahead, OpenAI aims for $12.7 billion in full-year 2025 revenue, with eyes set on a long-term target of $125 billion by 2029. These lofty goals reflect confidence in continued AI demand—consumer and corporate—but also spotlight the challenge of translating massive scale into sustainable profitability. Meanwhile, its strategic alliance with Google Cloud is a pragmatic pivot, acknowledging that no single partner can meet OpenAI's compute needs. This move may reshape market dynamics, positioning Google as a key AI infrastructure provider to even its technology rivals. The firm's path contrasts sharply with that of its competitors. Anthropic's ascension to $3 billion ARR, backed by Google and Amazon, highlights a competitive AI landscape where major players vie for dominance through both partnership and innovation. OpenAI's financial disclosures illustrate a generational shift in technological enterprise. The world's leading generative AI firm has leapfrogged its prior revenue milestone within a single year. The question now centres on translating this momentum into enduring profit, amid intensifying competition and signals of adoption plateauing.
