AI Isn’t Software: Reliability, Guardrails, and the Enterprise Adoption Gap

Silvercrest managing director and portfolio manager Alexander Waldorf and chief investment strategist Robert Teeter discuss why enterprise AI adoption differs from ordinary software deployment. They contrast probabilistic AI systems with deterministic software, argue that managing correctness and institutional knowledge are the binding constraints, and question whether the market's read-across to software and services disruption is too broad. The episode closes on how AI may change demand for outside help and the difference between selling headcount and selling accountability.

1. 2026 is described as a major step forward for enterprise AI adoption
2. Probabilistic AI systems require ongoing guardrails, unlike deterministic software that is verified once
3. Institutional knowledge and senior employees are framed as the real constraint on implementation
4. The hosts argue the market may be painting software and services disruption with too broad a brush