I just read about OpenAI’s Chief Financial Officer mentioning they might launch a really expensive subscription service. She talked about a $2000 per month plan for their AI system. The idea is that this AI would be so smart it could do work that normally requires hiring people. They say it would have intelligence similar to someone with a PhD degree. This makes me wonder if companies will start replacing employees with AI instead of hiring new staff. Has anyone else heard about this pricing model? What do you think about AI potentially taking over jobs that require advanced education? I’m curious if other companies are planning similar high-end AI services that cost thousands of dollars monthly.
The $2000 monthly pricing actually makes sense from a business perspective when you consider the alternative costs. Companies typically spend far more than $24k annually on a single PhD-level employee when you factor in salary, benefits, and overhead expenses.
I work in consulting and we’re already seeing clients explore AI solutions for tasks like data analysis and research that used to require specialized staff. The key difference is that AI operates 24/7 without sick days or vacation time.
However, there’s still a significant gap in creative problem-solving and client relationship management that human workers excel at. The real question isn’t whether AI will replace jobs entirely, but how quickly professionals can adapt by focusing on uniquely human skills while leveraging AI as a powerful tool.
Other tech companies like Anthropic and Google are likely watching OpenAI’s pricing strategy closely. If the premium model succeeds, expect similar enterprise-focused offerings within the next year.
for sure! it’s wild to think how many jobs might be at risk. if these AIs can do complex work, where does that leave all those who’ve invested in education? it’s a crazy time to be looking for a job in certain fields, that’s for sure.
I’ve been following this development closely since my company has been evaluating enterprise AI solutions. The $2000 price point seems targeted at specific use cases rather than general workforce replacement.
From what I’ve observed in our industry discussions, most organizations are looking at AI for augmentation rather than complete substitution. The reality is that even PhD-level AI still requires human oversight for quality control and strategic decision-making.
The interesting aspect is how this pricing creates a clear threshold for ROI calculations. Companies will need to identify roles where the AI can genuinely deliver $24,000+ in annual value. This naturally limits adoption to high-impact scenarios like complex research, specialized analysis, or technical documentation.
I suspect we’ll see a two-tier market emerge - premium AI services for specialized corporate functions and more affordable options for general productivity enhancement. The companies that succeed will be those that integrate AI thoughtfully rather than using it as a blanket replacement strategy.
The timeline for widespread adoption will depend heavily on how well these systems perform in real-world business scenarios versus controlled demonstrations.