
The report separates on-device assistance, search and advertising, and cloud or workplace tools, then tells readers to date any official page they quote.
The assignment compares AI strategy at Google, Apple, and Microsoft. It is a platform-strategy reading, not a model shoot-out and not a product review of one assistant.
Place each firm in a different default arena, then note overlap.
Google's public story often ties models to search, advertising, and cloud. Apple's public story often ties features to the device, to the existing hardware line, and to on-device or private processing language. Microsoft's public story often ties models to Azure, GitHub, and workplace software.
These are starting points from official positioning, not exclusive territories. All three now discuss assistants, developers, and enterprise contracts.
Useful questions: where does the model run, which product is the distribution channel, and what switching cost is being claimed? A short table with those three rows is stronger than a list of feature names that will be outdated in months.
If the Korean source mentions a preview or a rumor, label it as such. Do not upgrade it to a shipped capability.
Strategy pages change faster than a course file. Regulation of training data, app stores, and cloud contracts can move a position without a new model name. Date every official source, and
Last updated: November 13, 2026
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This paper does not rank them. It compares how each describes its place — search and services, on-device and privacy language, or cloud and workplace — using named official pages.
Only if a named official document in the source gives one. Otherwise stay with the strategy claim (where the feature runs, who pays, what is bundled).
No. That product applies Porter to Apple's device-and-services business. This page is about how three platforms talk about AI.