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Aaron Levie discusses the significant challenges of deploying AI agents in enterprise workflows, including fragmented data, legacy systems, and the need for change management, highlighting the growing role of deployment companies.
An analysis of the emerging applied AI layer in enterprises, outlining key components such as building workflow-specific features, intelligent model routing, change management via FDEs, and domain-specific go-to-market strategies. Argues that this layer will create sustainable moats and value despite some critiques.
With AI agents predicted to surge 300% in the next two years, enterprise leaders must adapt to hybrid human-AI workforces. The article covers role redesign, reskilling for higher-value work, and the strategic importance of change management for unlocking productivity gains of 30-50%.
A discussion on why implementing AI agents requires significant technical and change management work, making the role of FDEs (Foundation Deployment Engineers) a lasting job category, unlike earlier cloud adoption.