Insight by Business

The non-deterministic behavior of large language models increases PM-like work because model updates and variable responses introduce unpredictable product behavior that requires continuous evaluation, customer research and iteration to validate outputs and preserve business logic.
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See all →If your product has very little customer-facing surface area, you can delay hiring a PM because a handful of screens and few stakeholders mean engineers can make most tactical decisions and there are fewer customer-facing trade-offs to manage.
AI-driven productivity makes hiring a PM sooner more likely because designers and engineers ship features faster with AI, which increases feature volume and coordination needs and thus raises the demand for product management to prioritize and integrate those outputs.
