Where I think Power Platform specialist jobs are going as AI takes over more of the build work
Hello,
my name is Tomas Prokop, I'm a Microsoft MVP and co-organizer of the Update Days: Power Platform conference that my colleague u/Fulern posted about yesterday. I've recently started writing my thoughts publicly and this is partly crossposted from my LinkedIn, where I post more frequently. Post approved by mods.
Low-code platforms let people build apps without writing code. Coding agents now do that part easily: configure screens, wire up logic, connect data. The point-and-click work is getting automated.
But AI also writes a lot more custom code. More code always means more things breaking. The need for people who understand what's actually running underneath is growing, not shrinking.
Two directions to take from here.
Path 1: Engineering craft: Not just writing code, but architecting components and solutions that survive AI regeneration. Building controls that maintain quality and stability when agents change your codebase significantly and fast. Documenting intent well enough that the system can be understood, tested, and rebuilt. ALM, automated testing, resilient architecture. The hard skills that keep production running.
Path 2: Bridge the IT-business gap: Understand how businesses actually create value. Map their cost structures. Hypothesize about improvements and turn those hypotheses into plans for automations and tools. This is the work that happens before and around digital systems: requirements, process design, change management. Hard for AI to do today, and where most projects actually fail.
There's plenty of important work in between too (operations, risk mitigation, governance). But if you're a Power Platform maker wondering where to invest your learning time, pick a direction. Deeper into the machine, or closer to the business.
Thoughts?
We're covering a lot of this at Update Days: Power Platform on April 27-28 (Prague + online). https://power.updatedays.cz
