Summary
Federal workers condemned a Trump administration email urging mass resignations, calling it a coercive and legally dubious move influenced by Elon Musk’s cost-cutting approach.
The Office of Personnel Management (OPM) offered “deferred resignations” while warning remaining employees of potential layoffs.
Critics, including unions and Democratic lawmakers, warned of widespread disruption to essential services.
The email’s phrasing echoed Musk’s past layoffs at Twitter, raising concerns about the administration’s intentions.
Senator Tim Kaine urged workers not to accept the offer, citing Trump’s history of broken promises.
What’s wrong with automation?
Nothing wrong, actually a big promoter, the thing is, the people who complain a lot about:
-not having enough jobs
-salary being too low
If you add automation to the mix, a lot of the people complaining about it will have to, sooner or later, face the reality that a lot of clerical work can be automated leaving large swats of the population who never realized they needed to re-skill, in a job market that for them looks unpredictable.
In this particular case, maybe about 80% of these jobs might be automated in the near future, which will also collapse the idea that, for government to work, it has to be as big and bloated as possible, and prove at the same time that a lean, less expensive and efficient government structure is more desirable in the end.
This will replicate over other verticals. We already have fully automated convenience stores, coffee shops, pizza shops and burger shops. Add a cheap LLM like deep seek to the mix for customer service and you got yourself a standard shop but with no social security loads or expenses. Maybe one human supervisor for each 100 shops or so.
The benefits make economic actors to lean more to the fully automated establishments.
Others, manually managed will keep existing but will be the minority. These will be more expensive.
People who aim for these types of jobs, should be re-skilling in AI and how to operate it, even if it is tangential to their fields, just in case they want to be that human supervisor, or do the maintenance on the service devices used in them.
How would you suggest for people trying to get into these jobs research best methods for maintaining and servicing and general operations of the ai?
PLEASE don’t get them started. I’m bleeding from my ears after reading that last post.
Lol