According to @DowdEdward, a satirical post by Peter Girnus describes rolling out Microsoft Copilot to 4,000 employees at $30 per seat per month ($1.4 million annually) with just 47 opens and 12 repeat users, while claiming unverified productivity gains like “40,000 hours saved,” spotlighting the gap between enterprise AI spending and measured ROI, source: Edward Dowd on X; Peter Girnus on X. For traders, the post highlights diligence on enterprise AI adoption metrics—separating paid seats from active usage, renewal expansion from verifiable productivity—when assessing MSFT and AI software exposure, source: Edward Dowd on X; Peter Girnus on X. This sentiment risk can spill into AI-linked crypto narratives; monitor how headlines about weak enterprise AI utilization influence appetite for AI-related tokens and thematic trades alongside equity reactions, source: Edward Dowd on X; Peter Girnus on X.

According to @paoloardoino, 95% of enterprise generative AI pilots are failing, pointing to weak ROI despite heavy energy usage. Source: @paoloardoino on X, Sep 6, 2025. He adds that VC-funded startups are attempting to brute-force AI development and that the sector remains early-stage. Source: @paoloardoino on X, Sep 6, 2025. MIT-affiliated research has similarly reported that only about 10% of organizations achieve significant financial benefits from AI initiatives, underscoring widespread challenges in scaling pilots. Source: MIT Sloan Management Review and Boston Consulting Group, 2023 State of AI report.