LLMs require comparatively little training to use, and in fact training (like how to optimize prompts etc.) is probably a waste of time because the model behavior and interfaces change so frequently.
This puts them in the class of tools where the benefit is obvious once there is actually a real benefit (and not, say, the foreshadowing of some future benefit). This sort of tool doesn't require a mandate to gain adoption.
So, in the subdomains of software development where the LLMs are already useful, developers will naturally pick them up, assuming the business has secured the policy support and funding. In the areas where they aren't useful, businesses should trust developers and not waste their time with mandates.
And I say this as someone who uses LLMs all day every day for Python, Go, Bash, C/C++, pretty much everything. But as an active user I see the limitations constantly and wouldn't mandate their use upon anyone.
This puts them in the class of tools where the benefit is obvious once there is actually a real benefit (and not, say, the foreshadowing of some future benefit). This sort of tool doesn't require a mandate to gain adoption.
So, in the subdomains of software development where the LLMs are already useful, developers will naturally pick them up, assuming the business has secured the policy support and funding. In the areas where they aren't useful, businesses should trust developers and not waste their time with mandates.
And I say this as someone who uses LLMs all day every day for Python, Go, Bash, C/C++, pretty much everything. But as an active user I see the limitations constantly and wouldn't mandate their use upon anyone.