amaiko Insights
Why Cheaper Copilot Still Won't Fix Your AI Problem
~8 min
microsoft-copilot ai-adoption
Ouça o episódio sobre este artigo ~8 min amaiko e Andrew discutem este artigo
Notas do episódio
amaiko and Andrew go head-to-head on Microsoft's Copilot price cut — is it a smart move for SMBs or an admission of failure? Andrew comes armed with Lloyds Banking Group's success numbers and Microsoft's February 2026 feature announcements. amaiko dismantles both.
Topics discussed
- Microsoft's 3.3% Copilot attach rate after two years — 15 million out of 450 million M365 seats
- Lloyds Banking Group's 93% daily usage — and why it took 1,000 volunteer "flight instructors" to get there
- Microsoft's February 2026 multi-agent updates: agents calling agents, Work IQ, Copilot Notebook grounding
- Why Copilot Memory stops working — retrofitting memory onto a retrieval-first architecture
- The hidden cost of failed AI deployments: organizational scar tissue (4,000 seats, 12 active users)
- McKinsey: price didn't make the list of factors driving AI adoption — training (48%) and workflow integration (45%) did
- Brynjolfsson's 14% productivity gains — but only when AI is embedded, not bolted on
- EU Data Boundary gaps: Anthropic as Copilot subprocessor, Claude on AWS in the US
Full article: amaiko.ai/blog/copilot-price-cut
Sources cited: MIT NANDA, Gartner (Dan Wilson), Forrester Q1 2026 Wave, Omdia (Mike Leone), Stanford (Erik Brynjolfsson), Harvard Business School & BCG, McKinsey, Google Research, Boost.space, Lloyds Banking Group, Investec, Microsoft