I keep noticing more companies trying to create AI workers lately. There are tons of new companies making AI sales reps, developers, marketing bots, and support agents. Salesforce has this thing called AgentForce where you can make sales automation bots without coding.
This whole thing is moving way faster than I expected. I bet there are tons of these companies in startup accelerators right now.
But I’m wondering if any of these AI workers are actually doing real jobs yet. They probably need to connect with a bunch of different systems just to work properly.
I like language models and all, but they still mess up when weird situations happen in actual work. Maybe they’re good for simple automated tasks, but replacing people completely seems crazy to me.
The Salesforce CEO said something about not hiring real people anymore. Could be just marketing talk, but it shows what they’re thinking.
What’s your opinion on AI workers right now and where this is all heading? If you’re working on something like this, I’d really like to know what you think.
We deployed AI workers across three teams last year and got schooled hard. First wave was a disaster - tried automating complex workflows without knowing the edge cases.
Second try went better. Started small with data entry and basic customer sorting. AI handles about 70% of routine stuff, but here’s what matters - you need experienced people for the exceptions.
The real win isn’t replacing humans. It’s killing the boring repetitive crap so your team tackles interesting problems. My engineers used to waste hours reviewing logs and cranking out status reports. Now they build features and solve architecture challenges.
The maintenance overhead though? It’s brutal. These systems drift. What’s perfect in March makes weird decisions by July. You’re constantly monitoring, retraining, adjusting.
Companies rushing to fire everyone for full AI are idiots. Smart move is using AI to make your existing team more productive, not replacing them. When stuff breaks at 3am, you want a human who gets the business, not an AI following stale training data.
I’ve been in tech for years and watched automation trends shift constantly. But current AI tools? They’re different - way faster and more capable than anything we’ve seen before.
We rolled out an AI system for customer support that handles about 60% of basic questions on its own. The other 40% still need humans because AI gaps frustrate customers fast.
Here’s what vendors won’t tell you: integration is a nightmare. Getting AI to play nice with your existing systems takes tons of technical work, despite all the “seamless” marketing hype.
I think we’re at a turning point. AI won’t replace humans - it’ll amplify what we’re good at. Jobs requiring creativity, complex problem-solving, and genuine human connection will be safe. Companies that go full automation without human oversight? They’re setting themselves up for disaster when things go sideways.
Everyone’s missing the real problem - orchestration. Your AI might be brilliant, but if it can’t connect to your CRM, grab warehouse data, and trigger actions across platforms, you’ve got an expensive chatbot.
I’ve fought this battle for months. Three AI tools that worked great solo, but together? Total nightmare. APIs everywhere, custom connectors, middleware hell.
Turns out you can build AI worker workflows that actually connect everything. Drag and drop, no coding. The AI pulls customer data, analyzes it, makes decisions, and executes actions across multiple systems automatically.
We ditched AI assistants for AI workers that handle complete processes. Customer complains, AI checks order status, processes refunds, updates inventory, sends notifications. The whole chain runs itself.
You need a platform that handles workflow orchestration properly. Most companies stay stuck because they’re jamming AI into broken processes instead of redesigning everything.
the whole thing feels rushed to me. AI tools are everywhere but they don’t actually replace full jobs yet - just handle bits and pieces. my company tried AI for lead qualification last quarter. it worked fine for obvious cases but anything nuanced still needed human review. I think we’ll see a hybrid approach for a while rather than the full replacement Salesforce is hyping.
Been watching this closely since we started piloting AI assistants eight months ago. Reality hit fast - these things work great until they don’t, and when they fail, it’s spectacular. We tried swapping junior analysts for an AI that generated reports and basic insights. Fine for standard metrics, but once market conditions shifted, it kept spitting out stale recommendations. Fixing the mistakes cost more than we saved cutting headcount. The economic pressure’s real. Management loves slashing labor costs, especially repetitive work. They just underestimate the hidden costs - monitoring, training, maintaining these systems. You still need skilled people babysitting the AI. We’re in the hype phase. Companies are rushing to implement without getting the limitations. Tech will improve, but truly autonomous AI workers? That timeline’s way longer than these CEOs are telling shareholders.