Who is actually trying to use a fully autonomous AI employee right now?

Isn't everyone using agentic copilots or workflows with agent loops in them?

It seems that they are arguing against doing something that almost no one is doing yet.

But actually the AI Employee is coming by the end of 2026 and the fully autonomous AI Company in 2027 sometime.

Many people have been working on versions of these things for awhile. But again for actual work 99% are using copilots or workflows with well-defined agent loops nodes still. Far as I know.

As a side note I have found that a supervisor agent with a checklist can fire off subtasks and that works about as well as a workflow defined in code.

But anyway, what's holding back the AI Employee are things like really effective long term context and memory management and some level of interface generality like browser or computer use and voice. Computer use makes context management even more difficult. And another aspect is token cost.

But I assume within the next 9 months or so, more and more people will be figuring out how to build agents that write their own workflows, manage their own limited context and memory effectively across Zoom meetings desktops and ssh sessions, etc.

This will likely be a featureset from the model providers themselves. Actually it may leverage continual learning abilities baked into the model architecture itself. I doubt that is a full year away.

> the AI Employee is coming by the end of 2026 and the fully autonomous AI Company in 2027 sometime

We'll see! I'm skeptical.

> what's holding back the AI Employee are things like really effective long term context and memory management and some level of interface generality like browser or computer use and voice

These are pretty big hurdles. Assuming they're solved by the end of this year is a big assumption to make.

I think you're forgetting about accountability: who's to blame when AI messes up?