Google announced at its I/O conference this week that it is aggressively expanding Gemini AI throughout search, introducing new advertising formats directly into AI-generated answers, and rolling out AI Mode as a deeper alternative to traditional search results. The moves signal a fundamental shift in how the search giant monetizes discovery, but they are drawing sharp criticism from users and industry observers concerned about transparency, source attribution, and whether Google is deliberately degrading the traditional web experience to keep people on its platform.

What Is Google Actually Changing in Search?

Google's latest AI initiatives center on two main features that will reshape how users find information. AI Overviews, which already appear as summaries atop some search results, will become more prominent for longer and more complex queries. The company is also introducing AI Mode, a separate tab-based experience that provides deeper AI-generated responses, often pulling from Google's knowledge graph and broader information sources.

The practical effect is significant. Where search traditionally worked as a gateway where users would find information and leave, the new model keeps them engaged within Google's ecosystem. Users read AI-generated summaries with citation links buried in small "chips" that require additional clicks to explore the original sources. Traditional blue-link search results are not disappearing, but they are becoming harder to access, requiring more effort to find.

How Will Google Make Money From AI Search?

Google announced two new advertising formats designed specifically for AI Mode. The first embeds sponsored product recommendations directly within AI-generated answer lists, positioned at the bottom but still presented alongside factual information. The second, called conversational discovery ads, uses Gemini to infer what products might solve a user's problem based on their query.

The distinction matters. If someone asks how to eliminate musty odors from their home, traditional search might surface budget-friendly solutions like baking soda or vinegar mixtures. Under Google's new ad model, the AI could instead recommend premium reed diffusers or expensive plug-in air fresheners, blending product suggestions with informational content in ways that blur the line between editorial and advertising.

Why Are Critics Calling This "Enshittification"?

The backlash centers on several interconnected concerns about how Google is reshaping the web. First, users lose transparency about information sources. AI summaries obscure the original websites and creators whose work trained the model, making it harder for readers to evaluate credibility or support quality journalism. Second, the integration of ads into AI answers raises ethical questions about whether sponsored products are being recommended based on merit or profit.

Industry observers have invoked the concept of "enshittification," a term describing how platforms deliberately degrade user experience to maximize engagement and monetization. Google's decision to bury traditional search results under layers of AI content, while simultaneously planning to inject ads into those AI answers, fits this pattern. The company is essentially using AI as an excuse to reshape how the web works, regardless of whether users prefer the change.

How to Evaluate AI Search Results Responsibly

• Click Through to Original Sources: When using AI Overviews or AI Mode, take the extra step to click through to the original source links to confirm accuracy and evaluate credibility yourself, rather than trusting the AI summary alone.
• Seek Traditional Search When Researching: Google confirmed that traditional blue-link search results are not disappearing, though they require more effort to access. For research requiring careful source evaluation, explicitly seek out the standard search interface instead of relying on AI Mode.
• Question Product Recommendations: Recognize that ads embedded within AI answers may be presented alongside factual information. Always question whether product recommendations are based on relevance to your query or on advertising relationships and sponsored placements.
• Explore Alternative Search Engines: If Google's AI-first approach does not match your search needs, consider exploring other search engines that prioritize traditional link-based results or offer different AI implementations.

Google's broader vision includes Gemini Spark, an AI agent within the Gemini app designed to handle long-running tasks like shopping and travel planning in the background. The company plans to eventually integrate these capabilities into Google Search and regular Google accounts, essentially allowing users to run automated AI jobs that execute tasks without direct supervision.

The financial model for these background AI tasks remains unclear. Running large language models at scale is computationally expensive, and Google has not detailed how it will absorb these costs or whether users will eventually pay for premium AI features. The assumption among observers is that advertisers will ultimately subsidize the service through increased ad placements.

What remains uncertain is whether Google's aggressive AI-first strategy will ultimately strengthen or weaken its dominance in search. The company has spent decades building trust as a neutral gateway to the web. By transforming itself into a destination that keeps users on its platform and injects advertising into AI-generated answers, Google is betting that convenience and AI capability outweigh the loss of transparency and choice. Whether users and regulators agree with that calculation will likely shape the future of web search for years to come.