525
Wait, you mean workers don't love the automatic dumbass machines that constantly threaten their jobs?
(lemmy.today)
this post was submitted on 07 Sep 2026
525 points (98.3% liked)
Work Reform
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A place to discuss positive changes that can make work more equitable, and to vent about current practices. We are NOT against work; we just want the fruits of our labor to be recognized better.
Our Philosophies:
- All workers must be paid a living wage for their labor.
- Income inequality is the main cause of lower living standards.
- Workers must join together and fight back for what is rightfully theirs.
- We must not be divided and conquered. Workers gain the most when they focus on unifying issues.
Our Goals
- Higher wages for underpaid workers.
- Better worker representation, including but not limited to unions.
- Better and fewer working hours.
- Stimulating a massive wave of worker organizing in the United States and beyond.
- Organizing and supporting political causes and campaigns that put workers first.
founded 3 years ago
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I used to work for a small digital strategy consultancy. All the senior consultants up were expert in pretty much everything digital marketing and did their own data manipulation and analysis. SEO, technical SEO, link building, paid search, paid ads, Facebork ads, Youtube ads, social listening, search research... you name it. New consultants sat with experts, learned from people who genuinely knew their shit. We were expensive compared to, eg. Accenture's off-shore teams, but our results were far stronger, and offered genuinely actionable insights (relevant to our clients' business strategies and goals), compared to Accenture's off-shore teams.
Then we got bought up. Quite apart from the devastation that wreaked upon our ops staff as we were 'integrated' into the larger company, we were instructed to start using AI for all data analysis. For efficiency. So, our junior consultants no longer did any of their own data aggregation, cleaning, manipulation, or analysis. They didn't understand the data. They just spewed out whatever the AI told them the data said. Which, admittedly, was quicker. But there was no insight beyond the fucking obvious.
And, one by one, all the experienced people left the company.
Including me.
What had been a company of experts became a small department of AI users who didn't understand what they were doing, or why, or what it meant.