The AI Threat Google Couldn't Mount: Why This Expert Says Microsoft's $70 Billion Cash Cow Is Vulnerable Now

"“When someone uses an LLM to generate a first draft in let's say 30 seconds, and then spends 20 minutes editing rather than two hours actually creating that first draft, they fundamentally changed the human labor intensity of that task,” he said."

"“the per-seat assumption kind of stops working.” He pegs the at-risk franchise at roughly a $70 billion profit pool."

"Word, Excel, and PowerPoint formats “have become international standards, pretty much embedded in contracts, legal filings, and just all sorts of documents.” Excel power users running “leveraged buyout model, custom VBA macros” simply could not move."

"“The basic transformation of any per-user business of ours, whether it is productivity, coding, or security, will become a per-user and usage business.” The early traction is real. Microsoft 365 Copilot paid seats crossed 20 million, up 250% yea"

Generative AI can change the labor intensity of writing tasks by producing first drafts quickly, leaving users to spend less time creating content. A per-seat subscription model assumes one license per human doing cognitive work, but AI can absorb a meaningful share of that work, weakening the per-seat pricing logic. The Office suite has been resilient because Word, Excel, and PowerPoint are embedded in contracts, legal filings, and workflows, making switching difficult. AI can further reduce the need for specific productivity products by automating parts of the work. Microsoft is shifting toward a per-user and usage-based model, with Microsoft 365 Copilot paid seats growing rapidly.

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