ChatGPT Enterprise is Coming for Our Jobs (maybe)

For ChatGPT to keep improving, it needs two things: more compute power and more data. OpenAI has been scouring the internet for data, but that's not enough. The thumbs up/down on responses provides crucial feedback to improve the model.

Every prompt and response is collected and used to train the model. This allows ChatGPT to constantly get better.

The Problem with Enterprise AI

Here's why you haven't had to compete with OpenAI at work yet. In enterprise environments, collecting and using data like this is a huge no-no. Companies have strict data management rules, for good reason.

If ChatGPT uses responses to medical questions to improve itself, that leaks private health data. IP and trade secrets also can't risk getting incorporated into AI models.

So enterprises can't take advantage of the consumer versions of these models that rely on user data.

Introducing ChatGPT Enterprise

ChatGPT Enterprise changes things. It provides enterprise-grade security and privacy. OpenAI promises not to train on customer data.

This opens the floodgates for enterprise adoption. And companies will pay big bucks for the privacy guarantees.

But it's not the technology that's revolutionary here. It's the incentives.

OpenAI's New Incentives

OpenAI is now competing for budget share at your job. They'll push ChatGPT adoption through sales teams.

And their pitch will likely be: you need fewer human employees with ChatGPT.

More AI means fewer jobs. This is the new reality we face.

AI Still Has Major Limitations

Of course, AI isn't perfect. Hallucination is still a big issue. Errors and inaccuracies are common. Humans will be needed to verify and safeguard AI's work.

AI is also unable to do many simple human tasks, like subscribe to my YouTube channel!

The Best AI Supports Humans

In my view, the best AI won't replace jobs. It will augment human capabilities. AI can help humans be more effective and deliver better solutions.

But a hugely powerful company now wants to convince enterprises otherwise. This marks a turning point for AI adoption.

The future remains unclear. But this milestone is worth acknowledging as AI marches into the workplace.