Even Within an Organization, There Is No Single AI Strategy
Salesforce, Thursday, October 29th, 2026
A Salesforce essay argues there is no single AI strategy because agent reliability varies by task, depending on training data and verifiability.
The article says companies err by treating agentic AI as one capability to deploy uniformly.
AI works well on tasks like coding, where rules and tests confirm output, but can answer confidently on tasks like pricing decisions without enough data or any way to verify.
Two questions predict where agents succeed: whether the LLM was trained on enough relevant data, and whether the answer can be verified.
Where a task falls on that spectrum determines how work is split, from people mainly delegating and auditing to employees supplying missing context.