Automation Anywhere vs AI Agents: Why RPA Is Dead and Computer Use Is The Future
RPA vendors will tell you automation is easy. They'll show you slick demos where a bot logs into an app and fills a form. They won't mention that your bots break 20% of the time. They won't mention that each system update breaks 8 to 12 automations. They won't mention that your best engineers spend half their day fixing broken bots instead of building new ones.
The Brutal Truth About RPA
RPA was built for a simpler world. A world where systems don't change every week. Where UI elements stay in the same place. Where you can hardcode selectors and trust they won't break. That world doesn't exist anymore. Every change breaks 8 to 12 automations in a typical 50-bot deployment. You're running a maintenance factory, not an automation platform. The failure rate is conservative. Many teams see 30% broken bots. Some see more. The cost of fixing bots isn't trivial. It's not just the time spent debugging. It's the opportunity cost. Your senior engineers could be building new automations. Instead they're patching old ones. Kognitos estimates the maintenance multiplier can be 2x to 3x. You're paying for a bot and then paying again to keep it running. That's not efficient. That's a sunk cost trap.
What Changed: The Shift to Computer Use
- ●AI models can now see and click like humans.
- ●Computer use agents work on real desktops, not brittle selectors.
- ●OSWorld benchmark shows the gap is real and growing.
- ●OpenAI Operator scored 38% on OSWorld. Claude scored 73%. Coasty scored 82%.
The gap isn't academic. 82% vs 38% means agents that actually work versus agents that constantly fail.
Why RPA Can't Keep Up
RPA relies on brittle selectors. When a UI changes, the selector breaks. The bot fails. You need a human to fix it. That defeats the purpose of automation. AI computer use agents work differently. They use computer vision and language models to understand what's on screen. They see buttons, forms, tables, everything. They adapt to changes automatically. If a UI updates, the agent notices and adjusts. No hardcoded selectors. No manual fixes. The agent learns from what it sees. This is why OSWorld matters. It's a benchmark where agents complete real productivity tasks on real desktops. Not synthetic tests. Not simplified tasks. Real work. When an AI agent can navigate a real browser, fill out a real form, handle a real CAPTCHA, it's not a toy anymore. It's a worker. And if it's better than your RPA bots, you have a choice. Keep paying for broken automation or switch to something that actually works.
The Horror Stories Don't Stop at RPA
Manual work costs more than you think. TransAlta lost $24 million because of a copy-paste error in Excel. Kodak lost $11 million. Those aren't automation failures. They're human errors amplified by scale. But automation has its own horror stories too. Broken bots that delete data. Bots that submit wrong invoices. Bots that run at 3 AM and cause cascade failures. The problem isn't automation. The problem is brittle, fragile automation that you don't understand. When you can't trace what a bot did or why it failed, you're flying blind. AI computer use agents give you transparency. You can see what they see. You can replay their actions. You can understand why they made a decision. That's not just a feature. It's a requirement for anything you trust with real work.
Why Coasty Exists (And Why It's Different)
We built Coasty because we got tired of bots that break every time something changes. We wanted an AI computer use agent that actually works on real desktops, browsers, and terminals. Not just API calls. Not just simulated environments. The real deal. Coasty scored 82% on OSWorld, the standard benchmark for AI computer use. That's higher than GPT-5-based agents. That's higher than Claude. It's the best score in the category. Why does this matter? Because benchmarks correlate with real-world performance. An agent that can't complete 82% of tasks on OSWorld will struggle on your actual work. Coasty controls real desktops. You can run it locally on your machine or in cloud VMs. It supports agent swarms so you can run multiple agents in parallel. You can bring your own keys. It has a free tier so you can try it without committing. We don't promise magic. We promise an AI computer use agent that actually works. If you're tired of broken RPA bots and want something that gets the job done, Coasty is the obvious choice.
RPA vendors will tell you it's mature and stable. The data says otherwise. 20% failure rates. Maintenance multipliers. Broken automations. It's time to stop defending a broken model. AI computer use is the future. It's here now. The gap between RPA and AI agents is widening. The choice is simple. Keep paying for broken automation or switch to something that works. If you want to see the difference, try Coasty. It's free to start. It's real computer use. And it's already better than the alternatives.