Comment by ossa-ma
21 days ago
> "75% of enterprise workers say AI helped them do tasks they couldn’t do before."
> "At OpenAI alone, something new ships roughly every three days, and that pace is getting faster."
- We're seeing all these productivity improvements and it seems as though devs/"workers" are being forced to output so much more, are they now being paid proportionally for this output? Enterprise workers now have to move at the pace of their agents and manage essentially 3-4 workers at all times (we've seen this in dev work). Where are the salary bumps to reflect this?
- Why do AI companies struggle to make their products visually distinct OpenAI Frontier looks the exact same as OpenAI Codex App which looks the exact same as GPT
- OpenAI going for the agent management market share (Dust, n8n, crewai)
> Why do AI companies struggle to make their products visually distinct OpenAI Frontier looks the exact same as OpenAI Codex App which looks the exact same as GPT|
Because that requires human thought and it might take couple weeks more to design and develop. Do something fast is the mantra, not doing something good.
> "At OpenAI alone, something new ships roughly every three days, and that pace is getting faster."
This is a weird flex. Organizations have long strived to ship multiple times per day, it’s even one of the main business metrics for “high” performance orgs in DORA.
The fact that the premier “AI” company is barely able to deliver at a rate that is considered “high” instead of “medium” (the line is at shipping once per week) tells me that even at OpenAI writing the code is not the bottleneck.
Organizational inefficiency is as usual the real culprit.
Workers at tech companies are getting paid for this because they are shareholders.
Increased efficiency benefits capital not labor; always good to remember to look at which side you prefer to be on
>Where are the salary bumps to reflect this?
Revenue bumps and ROI bumps both gotta come first. Iirc, there's a struggle with the first one.
I imagine the salary bumps occur when the individuals who have developed these productivity boosting skills apply for jobs at other companies, and either get those jobs or use the offer to negotiate a pay increase with their current employer.
I haven't seen any examples of that.
Over the past few months mentions of AI in job applications have gone from "Comfortable using AI assisted programming - Cursor, Windsurf" to "Proficient in agentic development" and even mentions of "Claude code" in the desired skills sections. Yet the salary range has remained the exact same.
Companies are literally expecting junior/mid level devs to have management skills (for those even hiring juniors). They expect you to come in and perform on the level of a lead architect - not just understand the codebase but the data, the integrations, build pipelines to ingest the entire companies documentation into your agentic platform of choice, then begin delegating to your subordinates (agents). Does this responsibility shift not warrant an immediate compensation shift?
> apply for jobs at other companies
Ahh, but its not 2022 anymore, even senior devs are struggling to change companies. Only companies that are hiring are knee deep into AI wrappers and have no possibility of becoming sustainable.
The only group whose salaries have gone up as a result of LLMs are hardcore AI professionals, i.e. AI researchers.
> Where are the salary bumps to reflect this?
Let me increase salary to all my employees 2x, because productivity is 4x'ed now - never said a capitalist.