Is Google Losing the AI Race? Why it Matters for SEO

Google is still the king of search. I want to make this clear from the jump, because that part hasn’t changed yet.

The bigger question right now is whether Google is still positioned to win the AI race. And if not, or even if the answer is less certain than it was in the past, that has real implications for SEO.

Google just lost two major AI leaders to its two biggest AI competitors. 

This doesn’t mean Google is dead or that search is dead. And it definitely doesn’t mean you should be abandoning Google.

But it’s a big deal, particularly because the search landscape is getting more complicated. Businesses can no longer think about SEO as a game that only involves ranking on Google. 

Google Lost Two of Their Top AI Employees in 48 Hours

Noam Shazeer left Google to join OpenAI. Then days later, John Jumper announced that he’s leaving Google for Anthropic. 

In AI circles, these names don’t need much introduction. But for everyone else reading this, here’s why they matter.

Noam Shazeer

• Google VP and Gemini co-lead
• Co-authored “Attention is All You Need” back in 2017, which introduced the transformer architecture and helped launch the modern large language model era
• Co-founded Character.AI before returning to Google in 2024
• Google reportedly paid $2.7 billion to bring him and his team back

John Jumper

• Google VP of Engineering Fellow and  
• One of the creators of AlphaFold
• Helped create and run Google’s DeepMind AI system
• Won a 2024 Nobel Prize in chemistry for his AI work

The Most Obvious Question is “Why”

It’s worth taking a step back and understanding that people change jobs all the time. And a single employee (or two) doesn’t make or break the success of a company.

But these are arguably the two most important people at Google when it comes to their AI initiatives. And they both just left for Google’s biggest competitors within days of each other. At this level, it’s hard to dismiss these moves as “just job changes.” 

So why did they leave?

I don’t think the money argument holds much water. In Shazeer’s case, Google paid $2.7 billion to buy a company that he owned roughly 30-40% of, meaning he likely pocketed anywhere from $750 million to $1 billion from that deal alone. 

And joining OpenAI or Anthropic right now isn’t a path to a massive equity windfall, either. These companies are both well past the early-stage territory. Both of these guys are already wealthy and could essentially write their own checks at Google. 

If it’s not the money, what’s the reason for these departures?

It’s pure speculation, but I honestly think there are legs to the theory that both of these men believe Anthropic and OpenAI are better-positioned than Google to win the long-term AI race.

Smart people with financial security don’t leave prestigious roles at dominant companies unless they think those companies are headed in the wrong direction. Or that the competition is headed somewhere better. 

This Doesn’t Prove Google is Losing (Yet)

All of that said, I want to be really careful here and not jump to conclusions. 

The fact that two major AI researchers left Google doesn’t automatically mean that Google has lost or is losing the AI race. Google still has enormous advantages:

• Massive distribution through Search, Chrome, Android, YouTube, Gmail, Maps, and Workspace
• Deep technical infrastructure
• More data than almost anyone
• Huge AI research history
• Gemini is built directly into search and other products
• Billions of daily user interactions

Google’s distribution matters because it doesn’t need to convince people to visit a website or download a new app. It can put AI directly into the search experience people are using every day, which is a huge advantage. 

And just last month, I talked about how Google’s AI market share is growing faster than its competitors. Since then, ChatGPT’s market share is now below 50% for the first time ever (dropping ~12% from the data I used a month ago). 

Google is still the dominant search engine by a massive margin and is gaining ground in the AI race.

But there’s a difference between winning traditional search and winning the next version of search, which is where things get more interesting. 

Google Still Owns Search, But Not AI Search

For decades, SEO has mostly meant Google. 

Yes, Bing exists. So does DuckDuckGo, plus other platforms like Reddit and Amazon with their own search behavior. 

But for most businesses, the main organic search question has always been, “How do we rank on Google?”

That’s changing.

People are now using Claude, ChatGPT, Perplexity, Gemini, and other AI tools to research companies, compare options, summarize topics, find service providers, and make decisions.

Some of that activity still starts with Google. Other activities do not. 

Your old SEO strategy is still necessary in the sense that you need to focus on Google and traditional organic searches. But that’s not complete anymore.

You also need to focus on Google’s new AI-first search results, plus visibility in AI answers everywhere else, too. 

Google Also Has a Divided Attention Problem

There’s another dimension to this topic that I don’t think is discussed often enough in the SEO world. Google has other things to protect.

The vast majority of Google’s revenue comes from advertising.

And the ad model has a complicated relationship with AI. Because when AI Mode answers questions directly, there’s no click, no page visit, and no ad impression. So Google’s core revenue engine takes a hit. 

This puts Google in a strange position where they are forced to build technology that disrupts its most profitable product, while making sure it doesn’t disrupt it too fast. 

OpenAI and Anthropic aren’t protecting a search ad business that generates $200+ billion annually. They’re all-in on making their AI models the best in the world. So there’s no internal tension between the AI product team and the revenue team.

This structural difference matters when you’re trying to recruit the type of researchers who want to move fast and ship products aggressively, which is exactly the type of people you’ll find in Noam Shazeer and John Jumper.

What This Means for SEO

From an SEO perspective, the key takeaway is fairly straightforward: broaden your strategy.

Google is still important, and I’d still argue the most important organic search source that you need to focus on. And traditional rankings still matter, as does technical SEO, authority, content, links, local SEO, and the same stuff that’s been working for years.

But your content also needs to work in an AI search environment. That means:

• Answering specific questions clearly
• Covering topics more in-depth than generic overviews
• Use plain English that can easily be extracted and summarized
• Build topical authority across related pages
• Show real expertise (not just repeating what everyone else says)
• Strengthen author bios, credentials, reviews, case studies, and trust signals
• Earn brand mentions on reputable third-party sites
• Create content that is useful enough to be cited, summarized, or referenced by AI tools

The days of thin keyword pages are basically over. And creating content written only to satisfy a Google keyword tool are basically fading, too.

Modern SEO needs to account for how real people ask questions, how AI systems interpret those questions, and how different platforms decide which sources are worth using. 

What Not to Do

I’ve seen a lot of bad advice published online over the last 24 hours, and I’m not sure if these “experts” genuinely believe what they’re saying or if they’re just trying to have a hot take to get clicks. 

But the worst reaction you can have right now is to completely change your SEO strategy based on one week of AI industry news.

• Don’t abandon Google.
• Don’t delete your content strategy.
• Don’t chase every AI trend.
• Don’t mass-produce AI-written content and assume volume will solve your problem.
• Don’t assume ChatGPT, Claude, or Perplexity will replace Google for your audience overnight.
• Don’t assume Google will automatically win either just because it has historically dominated.

Instead, smart SEOs are preparing for a search environment where Google is still huge but it’s not the only place that matters. 

Final Thoughts

So, is Google losing the AI race?

Maybe. But I think the race is far too early to call.

Though the fact that two major Google AI leaders just left for OpenAI and Anthropic is definitely noteworthy and it’s not just background noise. It shakes up the AI race, but doesn’t end it or predict the outcome.

For businesses, the SEO lesson here is pretty straightforward: keep optimizing for Google, but don’t optimize solely for Google. 

Search is becoming more conversational, more fragmented, and of course, more AI-driven. So your content needs to be useful enough for real people while structured properly for search engines and trustworthy enough for AI systems to cite or summarize.

That’s the direction SEO is heading.

If you need help adjusting your strategy for Google, AI search, and everything in between, just contact me or my team here at McDougall Interactive. We’ve got 30+ years of SEO experience, and the AI boom is just another day at the office for us. I’m happy to help and answer any questions you might have about your specific website and business.