What Google's AI Future Means for Search Strategy

So Google finally rolled out some kind of AI reporting (if you can call that reporting), and the Competition and Markets Authority (CMA) announced some new measures Google must take to restore some level of parity with publishers and search results. "Conduct requirement introduced today gives publishers more control and stronger bargaining power over the use of their content…" This is, in fairness, a world first.

Clearly a step in the right direction. But that's all it is, a step.

Financially, How Are They Doing?

Total revenue for 2025 came in at $402.8 billion, up from $350 billion in 2024, the first $400 billion year in Google's history. Larger than the GDP of Portugal.

The company also delivered its first ever $100 billion quarter in Q3. A more strong view of their annual reports shows a few things. Google Search & other, $224.5 billiob (+13.4%).

Financially, How Are They Doing?: the traffic story should be read as a planning signal, not a reason to abandon search. If fewer searches produce open web clicks, owned pages need stronger intent fit, clearer brand demand, and better measurement of influence beyond the last session. A useful companion note is Why AI Search Measurement Needs Better KPIs, because it looks at a nearby part of the same system.

Financially, How Are They Doing?: the decision layer should separate what is directly measurable from what is directional. Clean referrals, branded demand, assisted conversions, citations, and sales notes all matter, but they should not be blended into one overconfident number.

Will AI Mode Become The Default?

I suspect AI Mode becomes the default search experience for most people and a significant number of searches. People like the conversational interface, and once they figure out advertising and reduce the cost of running it, I'm sure it will get rolled out more aggressively.

Thanks to data shared by Aleyda Solis (and Rand Fishkin), we know AI Mode's usage more than doubled in the U.S. In Europe, it grew even faster. Overall share remains below 0.25% in both regions.

Will AI Mode Become The Default?: the operating question is crawler value. Some automated visits support discovery, but others consume infrastructure, distort logs, and create no visible demand signal for the business.

Will AI Mode Become The Default?: the decision should start with evidence from logs, not frustration alone. Crawl rate, requested paths, referrers, user agents, and server impact show which bots deserve access and which do not.

Why AI Mode Might Not Be The Default Experience

Hugging Face estimated it costs about 30 times as much energy to generate text versus simply extracting it from a source. While that isn't revenue as such, computational power correlates pretty closely with cost.

Right now, AI offerings are computationally expensive, much less monetizable (although I'm sure that will change), and won't be picked up by great swathes of the population. If you had a more expensive product that specific people or cohorts of people weren't using (and are unlikely to use), would you push them into using it? Or would you just primarily give them what they're used to?

Why AI Mode Might Not Be The Default Experience: content teams should use AI for speed, not as a substitute for judgment. The final page still needs a human reason to exist and a specific problem it helps the reader solve.

Why AI Mode Might Not Be The Default Experience: the check should be repeatable. A one time observation becomes more valuable when it turns into a review habit the team can apply before publishing or refreshing related content.

Why News Holds Firm

AI Overviews do not supersede a Top Stories block. There are two theories here: Google has decided to create a safe haven for publishers (highly unlikely).

AI cannot accurately or fairly represent fast moving, immediate stories effectively (no one has cared about accuracy so far). So, news, for now, is resilient to AI. It is filed under the type of content that still adds real and obvious value.

Why News Holds Firm: this should also change forecasting. Models built on older click curves can overstate reachable traffic if zero click behavior and AI answers keep absorbing more of the journey.

Google Discover's Competitive Advantage

We have a pretty good idea about how Google Discover works. One of its strongest capabilities is the cohort driven story rollout.

Person A loved and engaged with said story. Person C also shares a similar characteristic and is shown the story. People are classified based on what they like.

Google Discover's Competitive Advantage: the report should show confidence levels. A tracked click is different from a brand lift signal, and both are different from a sales note that suggests AI influenced the conversation.

So What Does This Mean For The State Of The SERP?

Zero click search is overblown, albeit I think zero click marketing is the present and future. Whether the public discourse about AI is the long term projection of it or not, not everybody blindly trusts LLM responses.

They trust people and want to make their own decisions. AI is just part of the journey. Maybe more precisely, it summarises it in its entirety.

So What Does This Mean For The State Of The SERP?: the operating question is crawler value. Some automated visits support discovery, but others consume infrastructure, distort logs, and create no visible demand signal for the business.

So What Does This Mean For The State Of The SERP?: a useful dashboard should explain what changed and what action follows. Otherwise it becomes another view that looks impressive but does not improve the next decision.

A Subscription Led Model May Be The Future

Worth noting, the financial success of Google's other products is subscription led. Subscription revenue is more valuable to a business than most others, it is predictable, measurable, and consistent.

It's very plausible that Google bundles AI Mode and several other AI led products into a single subscription. Tokens are becoming more expensive. The ad model may never work for AI Mode, and a hybrid advertising/subscription model may be their best route forward.

A Subscription Led Model May Be The Future: the more useful metric is not only traffic volume. It is whether search still creates qualified demand, branded follow up, subscriptions, assisted conversions, or stronger consideration. The same pattern also shows up in Brand Signals Are Rewriting the Authority Stack, where the practical question is how the signal becomes visible.

What Financially, How Are They Doing? changes in practice

What Financially, How Are They Doing? changes in practice should be checked against the page and the wider search system, not treated as an isolated note. The goal is to find the weakest missing proof point and improve that before expanding the topic further.

What Financially, How Are They Doing? changes in practice: the report should show confidence levels. A tracked click is different from a brand lift signal, and both are different from a sales note that suggests AI influenced the conversation.

What should be checked before changing the strategy

What should be checked before changing the strategy: The first check is whether the page already answers the question with enough specificity. If the visible content, internal links, and supporting proof are thin, publishing more around the same topic will only spread the weakness across more URLs.

What Google's AI Future Means for Search Strategy should therefore be treated as part of an operating system, not a one off news item. The useful outcome is a clearer page, a cleaner signal, and a better decision about what deserves attention next. This connects with structured data when the same signal needs a clearer operating decision.