Employees find that AI tools are useless and don't increase productivity.
Leaders say - You are using the tools wrong. Figure it out.
Employees now have to work longer hours or risk getting fired.
Company does layoffs under the guise of "we replaced workers with AI" and the stock market rewards them for it.
> Employees now have to work longer hours or risk getting fired.
Bahahaha. In the best of all possible worlds.
Likely reality: Leaders say you're using the tools wrong, figure it out.
Employees: OK, so we train on the tools after hours?
Leaders: No.
Employees: Before hours?
Leaders: No.
Employees: During lunch?
Leaders: No.
Employees: Then when are we supposed to learn how to use the bloody tools?
Leaders: You're just going to have to figure that out for yourself.
Source: Happened to my mom when they moved from mainframe to Web-based at the insurance company.
After working for a few weeks at high hourly rate, produce a report. Then grift the next suites.
Bonus points if you just have ChatGPT spit out the report :D
Now, Copilot (the assistant, not the GitHub coding one) is hot garbage compared to Claude/ChatGPT but that’s another story.
One of my co-workers never uses any of it. For certain types of problems, he's the most productive member on the team.
MS productivity tools are a serious hindrance.
Sounds like he needs a PIP!
A risk that stock price declines for not buying into the hype. Actual productivity is not a concern.
I notice that you said "using" though and did not specify useful output. Useful output or even just a GitHub repo is kryptonite for "AI" proponents.
If you mean that Microsoft has to pretend that its employees are using "AI" in order to keep the P/E ratio of roughly 40, then of course an employee who does not participate in the con becomes a liability and you are absolutely right!
Honestly, you were probably a liability to your company prior to AI. Now you can at least vibe-code. </sarcasm> I don't know anything about your situation, nor do you know mine.
If you don't use AI at all you might be 5 or 10% slower, but quality might well even make up for it.
For instance: my employer seems actively hostile to maintaining human understanding, even before AI. Ownership of apps moved around without sufficient knowledge transition or training. We've migrated Wiki systems 2 or 3 times over my career, and stuff always gets lost. The last migration (to SharePoint) was downright hostile: it was presented as an opportunity to "clean up," the half-ass automated migration deliberately excluded things more than a year old, and your docs got nuked unless someone was paying attention to save them (not a given). Now that SharePoint is in the cloud, its admins are actively scanning for things to delete, because the priority is minimizing their storage costs, not, you know maintaining knowledge of how things work.
If you know them, AI supercharges you. If you don’t, you’re a lost cause no matter what.
That's kind of my point. There are junior engineers how have to go through a learning phase. Also, you may have this insight, but their managers may not.