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Microsoft’s and Google’s dueling developer conferences reveal opposite AI strategies—and a big weakness for one company
By Jeremy Kahn | Fortune | May 21, 2025
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3 key takeaways from the article
- In the span of one day and 750 miles, two of tech’s biggest companies put on conferences for their armies of developers this week. And while both Microsoft’s Build and Google’s I/O conferences were all about AI, the dueling convocations highlighted how the two industry behemoths are each seeking to conquer the market through radically different strategies.
- Both companies made a big push into AI coding assistants that can autonomously build and test software—with Microsoft announcing a new autonomous coding feature for GitHub Copilot and Google debuting its Jules coding agent. But beyond coding agents, some key differences in emphasis pointed at divergent strategies. Microsoft is battling to convince enterprises to build AI agents. Google is battling for consumers and individual creators.
- Ultimately, Google is going to have to figure out a way to make advertising still work in a new world of chatbots and AI personal assistants it is rapidly ushering into existence. Microsoft’s challenge is daunting but easier: it just has to figure out how to make the tech work well enough to justify its cost to serve. In other words, Google needs to not only invent the tech, it needs to reinvent itself.
(Copyright lies with the publisher)
Topics: Strategy, Business Model, Technology, Competition
Click for the Extractive Summary of the ArticleIn the span of one day and 750 miles, two of tech’s biggest companies put on conferences for their armies of developers this week. And while both Microsoft’s Build and Google’s I/O conferences were all about AI, the dueling convocations highlighted how the two industry behemoths are each seeking to conquer the market through radically different strategies.
Both companies made a big push into AI coding assistants that can autonomously build and test software—with Microsoft announcing a new autonomous coding feature for GitHub Copilot and Googled debuting its Jules coding agent. But beyond coding agents, some key differences in emphasis pointed at divergent strategies.
Microsoft is battling to convince enterprises to build AI agents. At Build, Microsoft placed a far greater emphasis in its announcements on tools that are designed to help enterprise customers create AI agents and get them to successfully automate workflows. Microsoft’s announcements were about how to allow agents to use tools, get agents to work with other agents, and, critically, to control what data AI agents access. These things matter to big companies and governments.
Google is battling for consumers and individual creators. Contrast that to what Google announced at I/O. Here the emphasis was almost entirely on consumers, not large organizations. It was about individual web users and individual content creators. The biggest news was the revamping of Google’s core Search product, with more AI Overviews, which provide capsule answers to queries, and also a new “AI Mode” that provides a more native AI experience, similar to what users get with OpenAI’s ChatGPT, using Google’s most capable AI models. It will also have new features that allow shoppers to virtually try on outfits as they shop.
What was also striking between Build and I/O is how comfortably the innovations Microsoft is announcing sit within the software giant’s existing business model, and how awkwardly much of what Google announced sits within its own.
Sure, Microsoft is taking a risk that its customers won’t find enough value in all the agentic AI products and features it is rolling out to pay the increased license fee that Microsoft wants to charge for it. But, if the AI agents gain traction, they only reinforce its existing cloud business and subscription-based business model.
Google, on the other hand, is taking a big gamble with its rollout of AI features that could directly cannibalize the advertising-based business model on which it has depended for a quarter century. Search represents 56% of Google’s revenues and most of its profits. If people click on fewer links with AI Overviews, as independent studies suggest, or if AI Mode offers far fewer opportunities for paid links, as also seems to be the case, it isn’t clear how Google will maintain its revenues.
There are plenty of ways to imagine new business models for chatbot-like interface and a universal personal AI assistant. But Google has not said yet what it thinks those business models should be—and listening to Google executives speak at I/O one got the sense the company hasn’t really figured it out yet.
At least the image, video, and audio generation products it announced help feed YouTube, which still has a healthy ad-driven business. But for many of its AI features, Google is trying for now to pivot to selling pricey subscriptions. It has renamed its $19.99 per month AI Premium subscription Google AI Pro, and made some of its new features available to those subscribers. And then it has announced a very expensive $250 per month Google AI Ultra subscription for power users who will get access to Google’s most advanced AI capabilities, with few caps on usage.
It’s hard to imagine that Google will be able to sell enough of these subscriptions to replace the ad dollars they are potentially going to lose by rolling out the AI Search features. In fact, the Ultra tier is so expensive it isn’t really a business at all. It might just about cover the costs of those few power users who sign up for it. But it doesn’t seem like a serious business for a company of Google’s scale. It is at best a stop gap measure—a halfway house between the Google of the past, and a future Google whose shape has not yet come into focus.
As its I/O conference made clear, Google is essentially a consumer AI company. And while a subscription model can work for consumer brands—just ask Netflix or Spotify—it can’t work for consumers at $250 per month. In fact, even those streaming companies have found that to keep producing the growth Wall Street demands, they’ve had to incorporate advertising into their offerings. Ultimately, Google is going to have to figure out a way to make advertising still work in a new world of chatbots and AI personal assistants it is rapidly ushering into existence. Microsoft’s challenge is daunting but easier: it just has to figure out how to make the tech work well enough to justify its cost to serve. In other words, Google needs to not only invent the tech, it needs to reinvent itself.
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