To The Moon

$Alphabet(GOOGL)$ $Alphabet(GOOG)$ is facing one of the most important strategic challenges in its history. Artificial intelligence could strengthen Google’s position in online search, but it could also disrupt the very business model that has generated enormous profits for decades.

For years, Google’s competitive advantage was relatively straightforward. Users entered a search query, Google ranked relevant websites, displayed advertisements and earned revenue when people clicked on sponsored links.

AI is changing that experience.

Instead of presenting users with a list of websites, Google’s AI Overviews can generate a summary directly at the top of search results. Users can ask more complicated questions and receive a conversational response without necessarily visiting multiple websites.

From a user perspective, this is a major improvement. But from an investment perspective, it creates a difficult question: If users get their answers directly from Google, what happens to the advertising revenue generated by traditional search?

1. AI Overviews could protect Google’s search dominance

When ChatGPT became popular, investors worried that people would increasingly turn to AI chatbots instead of Google for information.

Google’s response was to bring AI directly into its existing search ecosystem.

This is strategically important. Rather than forcing users to choose between traditional search and AI, Google is attempting to combine both experiences.

It also has several advantages that new AI competitors may find difficult to replicate:

• A massive existing search user base.

• Years of search data and user behaviour insights.

• A mature advertising ecosystem.

• Its own AI models, infrastructure and data centres.

• Strong distribution through Android, Chrome and other Google services.

Google does not necessarily need to invent an entirely new way for people to search. It needs to make its existing search experience more useful before competitors take users away.

AI Overviews could therefore be a defensive strategy as much as a growth opportunity.

2. The advertising model is where the real risk lies

Traditional Google Search works because users receive links to websites, including sponsored results.

Advertisers pay to reach people who are actively looking for products, services or information. This makes search advertising particularly valuable because it captures user intent.

AI Overviews could change that relationship.

If someone asks Google for the best accounting software and receives a detailed comparison directly in the search results, they may no longer need to visit several websites.

That creates two possible outcomes.

First, Google could introduce more relevant advertising within AI-generated responses and maintain its ability to monetise search activity.

Second, users may get what they need without clicking advertisements or visiting commercial websites, potentially reducing the number of monetisable interactions.

There is also a wider ecosystem risk. Many websites depend on Google search traffic to attract readers, customers and advertising revenue. If AI summaries reduce website visits, publishers and businesses may have less incentive to produce content that Google itself relies on to provide useful search results.

Google needs to balance the interests of users, advertisers and publishers. Getting that balance wrong could create long-term problems.

3. AI could increase costs even if revenue remains strong

Another issue investors should consider is the cost of delivering AI-powered search.

Traditional search is already a highly efficient business. AI-generated answers require additional computing resources, including powerful chips, data centres and electricity.

As Google expands AI Overviews to more queries, the cost of serving each search could increase.

This does not automatically mean AI Search will be less profitable. Google could offset higher computing costs through better advertising formats, higher-value commercial queries and increased user engagement.

However, investors should not focus only on revenue growth. Operating margins and free cash flow will become increasingly important measures of whether AI Search is creating economic value.

A successful product is not necessarily a successful business if the cost of delivering it is too high.

4. Google has another opportunity through Gemini and Cloud

I would not assess Google’s AI strategy based on Search alone.

Google has several potential sources of growth:

• Gemini: Competing in the rapidly developing AI assistant market and creating opportunities for subscriptions and enterprise adoption.

• Google Cloud: Providing AI infrastructure, models and services to businesses that want to develop their own AI applications.

• Advertising: Finding new ways to monetise AI-powered search experiences.

• AI infrastructure: Using its own technology and specialised chips to support growing demand while managing computing costs.

This diversification matters.

Even if AI changes the economics of traditional search, Google has other businesses that could benefit from wider AI adoption.

Google Cloud is particularly interesting because it gives Alphabet an opportunity to earn revenue from businesses building AI applications, rather than relying entirely on consumers using its own products.

5. What investors should watch

For me, the next few quarters will be important in determining whether AI is strengthening or weakening Google’s business.

I would focus on four areas:

Search advertising growth: Is Google continuing to grow search revenue despite the introduction of AI-generated answers?

Monetisation: Can Google generate comparable advertising value from AI Overviews without damaging the user experience?

Operating margins and free cash flow: Are additional AI infrastructure costs being offset by higher revenue and efficiency?

Market share and user behaviour: Are users staying within Google’s ecosystem, or are AI competitors gradually taking a larger share of search activity?

These indicators will tell investors much more than simply counting how many AI features Google launches.

My takeaway

I don’t think Google’s biggest risk is that AI makes search obsolete overnight. The bigger risk is that AI changes how people interact with search faster than Google can adapt its advertising model.

At the same time, Google has something many AI competitors do not: an established global distribution network, a huge advertising business, its own AI technology and the financial resources to invest heavily in infrastructure.

AI Overviews could become a powerful way to defend and modernise Search. But they could also reduce the number of traditional search interactions that advertisers have historically paid for.

For Alphabet, the challenge is not simply winning the AI race. It is making sure that winning the AI race does not damage the economics of its existing business.

I would rather see evidence that AI Search is improving revenue per query and protecting margins than simply assume that more AI usage automatically means more profit.

For discussion purposes only, not financial advice.