Restrictng the answer to my awareness about the software industry.
Would perceive Prompt Engineering as the new 'must-have' skillset to be acquired across all disciplines than only being restricted to program management. The more clever, hands-on and insightful an individual gets on Prompt Engineering, s/he opens doors to democratised wide open foundational skillset choices and break the vertical silos within a value-stream of delivery process.
Essentially - what I mean is that the 'master-skillset' of prompt engineering with right combination of the AI Toools will 'democratize' the each function and layer - program management, software development, software testing and deployment as long as the models have access to the right volume and quality of data. However, these individual functions will not 'commoditize'.
We will always need foundational subject matter experts who are conceptually strong in each functional vertical to ensure a deep learning for AI models, however now with expertise in GenAI + Prompt Engineering + Data.
The two dimensions of foundational expertise will continue to be a mandatory must - First: foundational inputs to develop and govern the GenAI solutions within your organization (through our generation at the least :) ); Second: Validating and governing the outcomes of an AI solution.
Would you agree?