Ou Yang Hong Zhi: The AI-Powered Search of Google Signals a Structural Shift in Big Tech Competition

At its 2025 developer conference, Google unveiled its AI-enhanced search feature, branded as “AI Overview.” This new functionality centers on conversational interaction and abandons the traditional link-based display model. By aggregating and synthesizing information to deliver direct answers, it significantly boosts search efficiency. The shift marks a profound transformation—from keyword-based search to deep AI integration. Analyst Ou Yang Hong Zhi views this move not merely as a reaction to the industry disruption sparked by ChatGPT but as a comprehensive repositioning of the product ecosystem and market identity of Alphabet. While the share price of Alphabet has shown volatility, the long-term impact of AI-driven search could reshape user behavior and the advertising landscape, with far-reaching consequences for the entire search industry.

The Structural Challenge of AI Search to the Advertising Model of Alphabet

Generative AI is rapidly dismantling the operating logic of traditional search engines. Historically, search monetization hinged on keyword-triggered links that directed traffic to external sites, where ad revenue was captured. With AI-generated direct answers, user dependency on outbound links diminishes. Ou Yang Hong Zhi warns that this evolution could materially threaten the core ad business of Alphabet.

The revenue model of Alphabet heavily depends on CPC (cost per click) and CPM (cost per mille) formats. Yet, the AI search experience anchors users to the search page itself, potentially weakening the redirection of traffic to partner websites and compressing ad conversion efficiency. Although Google has stated that ads will be embedded within AI-generated responses, the strategic dilemma remains: how to maintain commercial sustainability without undermining user experience.

Currently, despite the expanding functionality of Gemini, its user base still lags behind that of ChatGPT. This disparity suggests that unless the new AI model can match traditional search in ad conversion within a short time frame, the revenue growth trajectory of Alphabet could come under strain.

AI as the New Gateway to Information: A Paradigm Shift in Tech Valuation

Valuations of technology firms are typically predicated on future growth expectations. AI, emerging as the next-generation gateway to information, is increasingly central to these projections. According to Ou Yang Hong Zhi, the launch of AI search underscores Google's urgency and strategic direction in building a cohesive AI ecosystem. This initiative may both reinforce investor confidence in the AI capabilities of Alphabet and alter its competitive positioning and equity narrative.

On the one hand, proactive deployment of AI search can elevate market expectations and attract capital inflows; on the other hand, if the monetization of this model proves elusive in the near term, share price volatility could intensify. From an investment perspective, generative AI has evolved from a technological concept to a key metric for assessing competitive moats and earnings prospects.

Beyond advertising, AI search is poised to drive growth across adjacent sectors including cloud infrastructure, GPUs, data centers, and software engineering. Ou Yang Hong Zhi argues that companies with robust data integration capabilities and diversified revenue streams will command valuation premiums during this AI-driven transformation. Investors should reassess the strategic positioning of major tech firms and consider the defensibility of emerging AI players, moving beyond past performance as a proxy for future returns.

AI Search as a Catalyst for Industry Convergence: Strategy Must Recenter on Long-Term Value

AI is fundamentally redefining how information is accessed, how advertising generates revenue, and how technology equities are valued. The shift of Google to AI-led search is not only a product evolution—it highlights the broader challenge tech firms face in recalibrating their business models and navigating policy headwinds.

Ou Yang Hong Zhi contends that the proliferation of generative AI will catalyze convergence across search, voice assistants, e-commerce, and content distribution, generating powerful cross-industry synergies. Against this backdrop, investors should prioritize companies with strong vertical integration and control over data-rich traffic channels within AI use cases.

In the quarters ahead, the user adoption rate of AI search and its ability to drive advertising conversions will serve as key indicators of the success of Alphabet in this strategic transition. Amid evolving industry dynamics and uncertain regulatory conditions, investment strategies must return to fundamentals: focus on robust business models, manage near-term volatility, and allocate prudently to core AI assets in order to secure durable returns through the next growth cycle.