“Search Volume Rises, but Monetization Lags”: Alphabet’s Stock Plunge Exposes the AI Transition Dilemma as Advertising Market Upheaval Accelerates

Alphabet shares plunge 12.6% on disappointing third-quarter results and the burden of AI capital spending
Market dominance persists despite slower search and advertising growth; monetizing AI search is the key
As AI-driven information discovery spreads, GEO and AEO strategies gain attention in advertising and marketing

Shares of Google parent Alphabet recorded their steepest decline since the company went public. Despite continued rapid growth in its artificial intelligence (AI) and cloud businesses, investor sentiment deteriorated sharply as massive capital spending weakened cash flow and growth slowed in its core search and advertising businesses. Against this backdrop, market analysts say Google’s future competitiveness depends less on its search engine dominance itself than on how efficiently it converts users’ shift toward AI-powered information discovery into advertising revenue.

Alphabet Shares Plummet

According to a Financial Times (FT) report on the 29th (all dates hereafter are local time), Alphabet closed on the Nasdaq that day at USD 283.82 (approximately USD 292), down 12.6%. The decline continued in after-hours trading, with shares falling another 0.9%, while nearly USD 500 billion (approximately USD 522 billion) in market capitalization was wiped out. The sell-off came after third-quarter results released the previous day fell short of market expectations. On the 28th, Google parent Alphabet reported third-quarter revenue of USD 127.58 billion (approximately USD 131 billion), up 25% from a year earlier. Although this was a quarterly record, it fell below the market forecast of USD 128.22 billion (approximately USD 132 billion) compiled by the London Stock Exchange Group (LSEG).

By segment, revenue at Google Cloud, a core part of its AI business, surged 103% year on year to USD 30.71 billion (approximately USD 31.6 billion). This exceeded the market estimate of USD 29.1 billion (approximately USD 30.0 billion) compiled by Bloomberg. However, the deterioration in cash flow resulting from massive AI infrastructure investment was also clearly evident. Alphabet’s third-quarter capital expenditure more than doubled from a year earlier to USD 51.36 billion (approximately USD 52.9 billion), widening its free cash flow deficit from USD 5.855 billion (approximately USD 6.03 billion) in the previous quarter to USD 9.065 billion (approximately USD 9.33 billion). Despite this financial pressure, Alphabet maintained its full-year capital expenditure outlook at up to USD 205 billion (approximately USD 211 billion) and signaled that investment could increase even more substantially next year.

Clouds Gather over Search and Advertising Results

Growth also slowed in Google’s core search and advertising businesses. Third-quarter revenue from Google Search and other totaled USD 63.35 billion (approximately USD 65.2 billion), up 12.0% year on year. This marked a second consecutive quarter of slowing growth, following 19.1% in the first quarter and 16.8% in the second. Addressing this during the earnings release, Alphabet CEO Sundar Pichai said, “Year-on-year growth in search queries reached its highest level in the past five years.” In other words, increased use of Google Search had only a limited impact on actual revenue growth.

The gap between increased search usage and slower revenue growth is attributed to the low level of monetization of AI search services. Google has introduced features including AI Overviews, which provide AI-generated answers above traditional search results, and AI Mode, which lets users exchange follow-up questions as if conversing with a chatbot. While these features make searches more convenient and help generate new demand, they may actually undermine existing advertising monetization strategies. This is because AI’s direct summaries of search results and answers to questions are spreading the “zero-click” phenomenon, in which users do not visit external websites. Indeed, Google Chief Business Officer (CBO) Philipp Schindler said during the earnings conference call, “The rapid increase in AI Mode queries had an impact [on the slowdown in search and advertising growth],” explaining that “AI Mode had a lower level of monetization.”

Table 1. Alphabet’s Third-Quarter 2026 Results

Position in the Search Engine Market Remains Strong

Even in these circumstances, Google’s management remains optimistic about the long-term monetization potential of AI search. “Many AI Mode queries occur during the initial discovery stage of the purchasing process, allowing us to capture new, high-value commercial demand,” Schindler said. “Most AI Mode queries represent additional demand rather than a replacement for existing searches, so monetization opportunities will expand over time.” Pichai likewise outlined the company’s approach: “As with the transition to mobile search more than 10 years ago, we will prioritize improvements to the user experience for now and expand monetization later.”

Market analysts also caution against prematurely concluding that Google’s influence is waning, arguing that the introduction of AI features is strengthening its dominance in the traditional search engine market. Citing the results of a regular in-house survey of 1,000 U.S. consumers conducted last month, Mark Mahaney, an analyst at investment bank Evercore ISI, said Google’s position as users’ primary search engine had strengthened for four consecutive quarters after bottoming out during 2024 and early 2025. In the August survey, 78% of respondents named Google as their primary search engine, while the share choosing OpenAI’s ChatGPT fell to 10% from its peak of 13% in August last year. This rebound is also evident in traffic data from market research firm Statcounter. Google’s global search market share rose as high as 92.9% during 2023 before falling to 89.6% in July last year, then rebounded slightly to 90.0% in January this year.

A Fundamental Shift in How People Find Information

However, some argue that Google’s expanded dominance in the search market does not mean it has fully retained the monopolistic position it once enjoyed. Generative AI services, including ChatGPT, now offer search capabilities, diversifying the ways users find information. In the past, demand for online information discovery was concentrated on traditional search engines such as Google, but AI chatbots now also seamlessly support research, product comparisons, and purchasing decisions. This means that even if Google maintains a high share of the traditional search engine market, it will inevitably face new competition across the broader online information distribution and advertising markets.

Indeed, on the 29th, Andrew Boone, an analyst at U.S. investment bank Citizens, downgraded Alphabet from “outperform” to “market perform,” noting that AI agents could become a new gateway to the internet, replacing browsers or search engines. He also suggested that Google’s weak advertising monetization despite rapidly increasing search volume could indicate that some highly profitable search demand is shifting to AI chatbots. His assessment is that even a recovery in Google’s market share does not guarantee that its former advertising revenue model will remain intact.

GEO and AEO Strategies Gain Importance

These shifts in market structure are also affecting corporate marketing strategies. As users increasingly rely on AI-summarized and organized answers to inform their purchases, AI chatbots have emerged as a new arena of marketing competition for businesses. Two concepts that have emerged in response to this change are generative engine optimization (GEO) and answer engine optimization (AEO).

GEO is a strategy that optimizes how online information is structured and distributed so that generative AI references or cites content from a particular company or organization when answering users’ questions. While traditional search engine optimization (SEO) focuses on improving a website’s ranking in search results and attracting visitors, GEO emphasizes increasing the likelihood that relevant content will be incorporated into AI-generated answers themselves. AEO is also a strategy for adapting to an AI-powered search environment, but the term is generally used to describe an approach that places greater emphasis on providing direct answers to users’ questions. It involves structuring content so that search engine featured answers, voice assistants, and AI summarization services can easily extract information that addresses specific questions. However, the distinction between the two concepts has not been clearly established within the industry, and their definitions may vary somewhat depending on who uses the terms.