EU Launches Antitrust Probe Into Google, Targeting AI Overviews and AI Mode
Last updated: March 23, 2026 Read in fullscreen view
- 06 Mar 2026
Next-Generation AI Agents Explained: OpenClaw, NanoClaw, IronClaw and the Rise of Agent Architectures 128/135 - 06 Dec 2025
Enterprise Operations 2.0: Why AI Agents Are Replacing Traditional Automation 63/100 - 06 Nov 2025
Top 10 AI Development Companies in the USA to Watch in 2026 61/111 - 02 Dec 2025
The Question That Shook Asia: What Happens When We Ask AI to Choose Between a Mother and a Wife? 60/90 - 25 Nov 2025
How AI Agents Are Redefining Enterprise Automation and Decision-Making 56/108 - 01 Jul 2025
The Hidden Costs of Not Adopting AI Agents: Risk of Falling Behind 46/181 - 16 Oct 2025
AI Inference Explained Simply: What Developers Really Need to Know 44/73 - 18 Oct 2024
The Dark Side of Japan’s Work Culture 44/66 - 09 Jul 2024
What Is Artificial Intelligence and How Is It Used Today? 43/275 - 12 Jan 2026
Why YouTube Content Is the New Resume: Building Trust and Expertise Even Without Views 40/56 - 28 Nov 2025
How AI Will Transform Vendor Onboarding and Seller Management in 2026 37/90 - 21 Nov 2025
The Rise of AgentOps: How Enterprises Are Managing and Scaling AI Agents 37/85 - 23 Dec 2024
Garbage In, Megabytes Out (GIMO): How to Rise Above AI Slop and Create Real Signal 36/81 - 05 Jun 2025
How AI-Driven Computer Vision Is Changing the Face of Retail Analytics 35/154 - 12 Jan 2026
Companies Developing Custom AI Models for Brand Creative: Market Landscape and Use Cases 33/45 - 25 Dec 2025
What Is Algorithmic Fairness? Who Determines the Value of Content: Humans or Algorithms? 33/60 - 01 Jul 2025
Southeast Asia Faces a Surge of “Fake AI Startups” 32/111 - 07 Nov 2025
Online vs. Offline Machine Learning Courses in South Africa: Which One Should You Pick? 32/83 - 29 Oct 2024
Top AI Tools and Frameworks You’ll Master in an Artificial Intelligence Course 32/412 - 10 Nov 2025
Multi-Modal AI Agents: Merging Voice, Text, and Vision for Better CX 29/127 - 17 Oct 2025
MLOps vs AIOps: What’s the Difference and Why It Matters 27/113 - 24 Oct 2025
AI Agents in SaaS Platforms: Automating User Support and Onboarding 27/93 - 24 Dec 2024
Artificial Intelligence and Cybersecurity: Building Trust in EFL Tutoring 26/187 - 26 Mar 2026
AI Virtual Streamers Are Draining 18 Hours of "Dead Traffic" — And Threatening the Livestream Workforce 24/27 - 27 Aug 2025
How AI Consulting Is Driving Smarter Diagnostics and Hospital Operations 22/117 - 13 Oct 2025
Why Fiverr’s Freelance Empire Self-Destructed 20/80 - 04 Oct 2023
The Future of Work: Harnessing AI Solutions for Business Growth 19/291 - 22 Sep 2025
Why AI Is Critical for Accelerating Drug Discovery in Pharma 17/95 - 12 Apr 2025
How to Ask Powerful Questions Like Socrates 16/46 - 03 Jul 2022
Occam’s Razor and the Art of Software Design 15/513 - 15 Apr 2024
Weights & Biases: The AI Developer Platform 14/198 - 06 May 2025
How Machine Learning Is Transforming Data Analytics Workflows 13/194 - 21 Aug 2024
What is Singularity and Its Impact on Businesses? 12/425 - 21 Apr 2025
Agent AI in Multimodal Interaction: Transforming Human-Computer Engagement 11/197 - 29 Aug 2025
How AI Is Transforming Modern Management Science 8/52 - 24 Mar 2026
AI for Financial Reconciliation: Automating Finance Operations in 2026 4/6 - 05 Aug 2024
Affordable Tech: How Chatbots Enhance Value in Healthcare Software 1/200
The investigation will focus on how Google uses content to power its “AI Overviews” and “AI Mode” features on search results pages.
On December 9, the European Commission (EC) officially announced the launch of an antitrust investigation into Google. The probe aims to determine whether the company has violated EU competition rules by using content from publishers’ websites and YouTube videos to support its artificial intelligence (AI) products - without providing adequate compensation or allowing publishers to opt out.
The Probe Targets “AI Overviews” and “AI Mode”
According to the EC, the investigation will examine how Google leverages content to generate its “AI Overviews” and “AI Mode” features - AI-generated summaries that appear above traditional search results.
Regulators are concerned that Google may be imposing “unfair” terms on publishers and content creators, while granting itself privileged access to data for training AI models. This could potentially disadvantage competing AI developers.
Reports indicate that, beyond written content from news websites, the EC is also reviewing Google’s use of YouTube videos for AI training - particularly whether creators are neither compensated nor given the option to refuse such use.
Currently, anyone uploading videos to YouTube must agree to terms that allow Google to use their data for various purposes, including AI training. In return, creators receive no separate compensation for this usage. At the same time, other AI companies are restricted from accessing similar data, effectively giving Google an exclusive advantage.
A Google spokesperson responded that, if the complaints are upheld, such measures could “stifle innovation in a highly competitive market.” The company also stated it will “continue working closely with the news industry and creative sectors” as the transition to AI accelerates.
The EC emphasized that while AI brings clear benefits - innovation, efficiency, and convenience - its development “must not come at the expense of the core principles of our society,” including protecting publishers’ rights, ensuring fair competition, and maintaining a diverse and healthy media ecosystem.
EU Tightens Oversight on Big Tech
This investigation comes amid broader efforts by the EU to tighten oversight of major U.S. tech companies, especially as AI continues to rise.
Previously, in September 2025, the EC fined Google nearly €2.95 billion for antitrust violations in the advertising technology (ad-tech) sector. The company was accused of favoring its own ad services over competitors, harming publishers, advertisers, and the broader online advertising market.
If violations are confirmed in the current case, Google could face fines of up to 10% of its global annual revenue - a significant penalty that underscores the EU’s commitment to preserving fair competition and preventing dominant platforms from abusing their market power.
According to Reuters, the EU has also taken action against other tech firms in recent months. This includes a €120 million fine against X (formerly Twitter) for failing to meet advertising transparency obligations, and a separate investigation into Meta Platforms over AI data access policies on WhatsApp.
Growing Backlash From Publishers and Media Groups
A number of publishers, independent media groups, and press freedom organizations - including the European Publishers Council, Independent Publishers Alliance, and advocacy group Foxglove - have criticized AI-driven features like “AI Overviews.”
They argue that such tools effectively “steal” traffic and revenue from original sources, threatening the sustainability of independent journalism and media diversity.
A Potential Legal Precedent
Notably, the EU is relying on traditional competition law - rather than newer regulations like the Digital Markets Act (DMA) - to assess this case.
Observers suggest the outcome could set a major precedent: large platforms may no longer be able to act as both “gatekeepers” and unrestricted beneficiaries of third-party content for AI development. Moving forward, companies may be required to adopt greater transparency, ensure fair compensation, and better protect the rights of content creators if they wish to continue advancing AI technologies.










Link copied!
Recently Updated News