rishi jaluria

Enterprise AI workloads will settle into an 80/20 split where 80% run on older, open-source, or smaller models while 20% require frontier models — but the dollar TAM concentrates in that frontier 20%, making multimodal model selection (critique/counsel) the winning enterprise strategy.

Azure's 43% growth vs. AWS's larger base creates a convergence trajectory within several years, shifting from a clear leader/laggard dynamic to a 1A/1B competitive structure with Microsoft dominating enterprise/Global 2000 and AWS leading net-new tech-forward companies.

Unlike peers, Microsoft's extensive third-party capacity agreements (Oracle, VMware, NetApp) provide a unique financial hedge: if data center demand softens, Microsoft can reduce third-party spend and absorb that workload internally, avoiding stranded asset risk from aggressive CapEx.

After a year of mixed feedback, Office Copilot is seeing accelerating paid adoption (10M users added in quarter) and improving engagement metrics on par with Outlook, signaling the transition from shelfware to genuine productivity value for enterprise customers.

Enterprise AI workloads will settle into an 80/20 split where roughly 80% can be handled by older, non-frontier, or open-source models, while 20% require frontier models. The dollar value concentrates in the 20% frontier tier, but Microsoft's multi-modality approach of routing to the best model for each task positions it well for this reality.