Tech
Google’s Gemini Becomes Top Global Search Trend as New AI Model Reshapes Industry Debate
Google’s AI chatbot Gemini has become the company’s most-searched topic of the year, topping its annual “Year in Search” report and drawing worldwide interest following the launch of its newest model, Gemini 3.
The tech giant released its list of global search trends for 2025, highlighting terms that saw a sharp and sustained rise in traffic compared with the previous year. Leading that list was “Gemini,” outpacing major global events and prominent public figures, including “India vs England” in men’s cricket and “Charlie Kirk,” the American commentator killed in September.
Search activity tied to Gemini rose noticeably in September after Google unveiled a series of AI-focused upgrades across Chrome, Search, Android and other core products. That surge continued through autumn as attention swung toward the debut of Gemini 3, the latest version of the company’s advanced AI system built on Alphabet’s in-house chips.
Gemini 3 quickly drew an array of high-profile endorsements. OpenAI chief Sam Altman praised its abilities, while Nvidia highlighted its performance gains. Salesforce CEO Marc Benioff went so far as to say he planned to stop using ChatGPT after testing Gemini, describing its improvement in speed, reasoning, and multimedia output as transformative.
Among the major changes, Google added Gemini 3 directly into its search engine through an “AI mode,” allowing responses powered by the model to appear natively in results. It also introduced new automated coding tools and a platform called Google Antigravity to support agent-based development.
According to Google, Gemini 3 can work with far fewer prompts than earlier versions and is designed to handle complex ideas with stronger logic and broader multimodal abilities. Independent evaluations appear to validate that claim. The model scored highest on the Humanity’s Last Exam benchmark, surpassing OpenAI’s GPT-5 Pro, and ranked first on several tests measuring reasoning strength and short-form factual accuracy.
The launch has sparked significant tension across the AI landscape, placing new pressure on OpenAI, which has dominated the market for two years with ChatGPT. The company is already facing criticism surrounding GPT-5’s tone, along with legal challenges from families who allege the chatbot played a role in relatives’ deaths.
Reports this week said Altman told staff on December 1 that OpenAI had issued a “code red,” shifting resources toward improving ChatGPT’s quality and slowing other planned products, including advertising features, AI agents and a personal assistant tool.
Google, meanwhile, is positioning Gemini 3 as its most capable system to date, backed by strong early adoption and a surge in global user interest that has placed it at the center of the year’s technology conversation.
Tech
Study Says EU Regulations Are Slowing Rollout of Advanced AI Models
A new study by Governance.AI has found that European Union regulations are delaying the rollout of advanced artificial intelligence models, with technology companies increasingly pointing to the bloc’s regulatory framework as a key obstacle to launching new AI products in Europe.
The report examined 375 large language models (LLMs) released between June 2018 and May 2026, comparing their availability across the United States, the European Union and the United Kingdom. According to the findings, at least 11 percent of advanced AI model releases were either delayed or never launched in the EU compared with the United States. In the UK, the figure stood at 7 percent.
Researchers said they identified 68 cases in which AI models experienced delays or were withheld from specific markets. Regulatory factors were cited as the primary reason in 56 of those cases, making them the most common cause of restricted availability.
The study reviewed releases from major AI developers, including Meta, Google, OpenAI and Anthropic. Meta recorded the highest proportion of delayed or unavailable releases, with 26 percent of its AI models delayed or withheld in the EU and 15 percent in the UK. Anthropic’s Claude 3 Opus was highlighted as one example, with its web application arriving in the EU 71 days later than in the United States.
According to the report, data protection rules have emerged as the biggest regulatory hurdle, particularly for AI systems capable of processing images, audio and real-time video rather than text alone.
The researchers argued that uncertainty surrounding the application of the General Data Protection Regulation (GDPR) to AI model training and deployment has created additional challenges for developers. They also said enforcement of data protection rules has generally been stricter within the EU than in the UK, despite both jurisdictions sharing similar legal foundations following the adoption of the GDPR before Britain’s exit from the bloc.
The report noted that the full impact of newer legislation, including the Digital Markets Act, which began taking effect in 2023, and the Artificial Intelligence Act, adopted in 2024, has yet to be fully reflected in the data.
At the same time, the European Union is reviewing proposals aimed at making data rules more practical for AI development through its Digital Omnibus initiative. Lawmakers are also considering changes to copyright legislation and the AI Act’s copyright provisions to strengthen protections for creators, measures that researchers say could affect future AI model availability if implemented too strictly.
John Lidiard, a UK AI policy researcher and one of the report’s authors, said policymakers should consider the impact that regulatory barriers can have on businesses and consumers seeking access to the latest AI technologies. He said balancing innovation with effective oversight would remain a key challenge as governments continue to develop AI regulations.
Tech
French Startups Face Political Uncertainty as AI Reshapes Innovation Landscape
Tech
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