Europe Comes for AI Search

Europe Comes for AI Search

The EU just launched an antitrust investigation that could reshape how AI companies train their models. The target: Google’s use of publisher content and YouTube videos to power AI Overviews. The stakes: up to 10% of Google’s global revenue. The question everyone’s asking: if Google can’t use the internet to train AI, can anyone?


📰 The Rundown

⚖️ EU Probes Google Over AI Training Data

➡️ The move: The European Commission opened a formal antitrust investigation into Google on Tuesday, examining whether the company violated competition rules by using web publisher content and YouTube videos to train its AI models without adequate compensation. The probe focuses on AI Overviews and AI Mode, the AI-generated summaries that now appear above traditional search results. Publishers argue Google has “broken the bargain that underpins the internet” by prioritizing AI results trained on their content ahead of the sites that produce original reporting.

Why it matters: This case could define how Big Tech uses publisher content for AI training across Europe and beyond. Google faces potential fines of up to 10% of global annual revenue. The investigation also examines whether Google gives itself privileged access to YouTube content while blocking rival AI companies from the same data. If regulators rule against Google, every AI company training on web data will need to rethink their approach.

🎯 Your takeaway: The free training data era may be ending. Companies building AI products should start documenting their data sources and considering licensing agreements now, before regulations force their hand.


🔒 DOJ Busts $160 Million AI Chip Smuggling Ring

➡️ The move: The Department of Justice shut down a major smuggling operation that shipped at least $160 million worth of Nvidia H100 and H200 GPUs to China. Authorities seized over $50 million in chips and cash. The operation involved stripping Nvidia labels from the GPUs, relabeling them with a fake company name “SANDKYAN,” and falsifying shipping documents to disguise the destination. Two businessmen were arrested this week, and a Texas company pleaded guilty in October.

Why it matters: These chips power the AI models reshaping every industry. The H100 and H200 are the gold standard for training large language models. Export controls exist because whoever controls these chips controls the pace of AI development. The sophistication of this smuggling operation, including fake company names and falsified paperwork, shows how valuable these components have become and how far some will go to acquire them.

🎯 Your takeaway: The AI chip shortage isn’t just a supply chain story. It’s a geopolitical chess match. When you hear “compute constraints” from your AI vendors, this is part of why.


📊 OpenAI Claims Workers Save an Hour Daily with AI

➡️ The move: OpenAI released its 2025 State of Enterprise AI report, surveying 9,000 workers across 100 companies. The results: 75% reported that AI improved either the speed or quality of their work. Average users save 40 to 60 minutes per day, while heavy users report saving more than 10 hours per week. ChatGPT Enterprise seats have grown nearly 9x since 2024, and structured workflows like Projects and Custom GPTs saw 19x usage growth this year.

Why it matters: The report reveals a widening gap. Workers who deeply integrate AI into their workflows save dramatically more time than casual users. Heavy users consume 8x more AI credits and report 10+ hours saved weekly. But here’s the tension: an MIT study from August found 95% of organizations saw zero return on their AI investments. The difference may come down to how intentionally teams deploy these tools.

🎯 Your takeaway: Dabbling doesn’t pay off. The productivity gains go to teams who build AI into their daily processes, not those who treat it as an occasional assistant.


🔧 Tool Spotlight: Motion

Motion is an AI-powered productivity platform that automatically schedules your tasks, meetings, and projects. Unlike traditional calendar apps that wait for you to decide when things happen, Motion looks at your priorities, deadlines, and available time, then builds your day for you.

What makes it different: Motion treats your to-do list and calendar as one connected system. Add a task with a deadline, and Motion finds the best time to do it. Reschedule a meeting, and your tasks automatically adjust. The AI considers task priority, dependencies, and your energy patterns to create a daily plan that actually makes sense.

Best for: Anyone drowning in competing priorities who spends too much time deciding what to work on next. Motion is particularly effective for project managers, consultants, and founders juggling multiple commitments.

Pricing: Free 7-day trial. Individual plans start at $19/month. Team plans start at $12/user/month with annual billing.

👉 Try it: usemotion.com


✨ Try This Today: The Red Team Exercise

Most people ask AI to help them build their arguments. Smarter professionals ask AI to tear those arguments apart first.

The technique: Before presenting an important idea, proposal, or decision, ask an AI to argue against it. Have it find the weaknesses, identify the objections, and poke holes in your logic. Then address those weaknesses before anyone else has the chance.

How to do it:
1. Write out your proposal, recommendation, or idea
2. Prompt: “Act as a skeptical stakeholder. What are the three strongest arguments against this proposal? What would make you vote no?”
3. Review the objections and strengthen your weak points
4. Follow up: “What data or evidence would you need to see to change your mind?”
5. Incorporate that evidence into your presentation

Example prompt: “I’m proposing we switch from Salesforce to HubSpot to save $40k annually. Play devil’s advocate. What are the hidden costs, risks, and arguments my CFO will use against this?”

Why it works: You’ve already heard the objections and prepared your responses. When the skeptic in the room pushes back, you’re not scrambling. You anticipated it, addressed it, and moved on.

Time required: 10 minutes before any important pitch or proposal.


✨ The Wire

🔗 Palantir won a $448 million contract with the U.S. Navy for ShipOS, an AI system that will orchestrate vessel operations. The deal extends an aggressive government AI push.

🔗 Acquia launched three new AI agents for its SaaS CMS platform, automating content creation, optimization, and governance for marketing teams.

🔗 The EU fined X $140 million last week and opened a separate antitrust investigation into Meta’s WhatsApp AI policies, signaling broader crackdowns on American tech companies.


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