Technovation with Peter High (CIO, CTO, CDO, CXO Interviews) AI’s Role in the Enterprise Stack: Infrastructure, Investments & Economics
Feb 13, 2026
Saam Motamedi, General Partner at Greylock Partners who led the Anthropic investment, talks enterprise AI strategy and investing. He covers shifts in infrastructure as compute becomes AI workloads. He discusses usage- and outcome-based software economics. He explores agentic AI progress and implications for workforce dynamics and enterprise adoption.
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Observability Must Measure Quality, Not Just Uptime
- Observability for AI requires qualitative evaluation of model outputs, not just uptime and latency metrics.
- Observability must close the development loop by measuring response quality and feeding that back into model updates.
Why Code-Focused Models Matter
- Anthropic has focused on building top models for code and an enterprise-grade go-to-market organization.
- Code-focused models unlock vast automation across software engineering and business process implementation.
Start With Efficiency, Sell Effectiveness Later
- When proving AI ROI, start with clear efficiency metrics but push for new effectiveness-driven outcomes.
- Avoid selling solely on cost savings because that invites commoditization at renewal time.
