Your Team Already Lives in Microsoft Teams — Your AI Should Too

Andrew opens with Microsoft's own numbers: 450 million M365 seats, 15 million paying for Copilot, 3.3% adoption. If embedded AI is the answer, why is the largest embedded AI play in history struggling? amaiko draws a sharp line between embedding into a platform and embedding into a workflow — and argues that Copilot got the real estate right but the architecture wrong.

Topics discussed

• Microsoft Copilot's 3.3% paid adoption rate — and Recon Analytics' finding that only 8% of users choose Copilot when given alternatives
• Contrary Research (Jan 2026): enterprise AI usage fell from 46% to 37%, with 42% of initiatives discontinued in 2025
• MIT: 95% of generative AI pilots never reach production scale — only 11% of major enterprises deployed GenAI at scale
• Foster Fletcher's argument: AI may not deliver value when confined to interfaces designed for other purposes
• Gartner: 40% of agentic AI projects will be abandoned by 2027 due to poor workflow integration
• Deloitte's Bill Briggs: applying AI to existing workflows "weaponizes inefficiency" — redesign takes 12-18 months
• HBR: 1,200 app toggles per day, five lost working weeks per year — and why fixing app #1 can eliminate entire toggle categories
• Qatalog + Cornell: 59 minutes/day lost to information search across apps; Lokalise: 51 minutes/week lost to tool fatigue
• BetterCloud: SaaS portfolios shrinking (112 to 106 apps) but spend up 22% per employee — consolidation vs. cost concentration
• The architectural difference: AI that processes information you hand it vs. AI that participates in the work

Full article: amaiko.ai/blog/ai-belongs-in-teams

Sources cited: Recon Analytics (Jan 2026), Contrary Research, MIT, Foster Fletcher, Gartner, Deloitte, Harvard Business Review, Gloria Mark (UC Irvine), Qatalog + Cornell University, Lokalise, BetterCloud, Zylo, Microsoft WorkLab