RPA vs AI Agents 2026: Why Your RPA Robots Are Already Obsolete
Gartner predicts over 40% of agentic AI projects will be cancelled by 2027. That's not a trend. That's a disaster. Meanwhile RPA bots break every week, costing companies €750K in maintenance over three years. You're not building the future. You're maintaining a graveyard of broken scripts.
RPA Was Built For 2015, Not 2026
RPA was designed to click buttons that never change. It excels at copy-pasting data from one system to another when everything is static. But modern work isn't static. UIs evolve. Screens shift. Button labels change. RPA breaks the moment something moves. You spend more time fixing bots than they save you.
The Hidden Cost of Broken RPA Scripts
- ●RPA maintenance costs can exceed €750K over three years
- ●Bots break 10 times per week on average (20% failure rate)
- ●Each failure requires immediate technical intervention
- ●Downtime kills productivity and trust in automation
One enterprise reported 10 broken bots per week. That's not automation. That's a full-time job in IT support.
Why AI Agents Are Actually Different
AI agents don't just click predefined coordinates. They see the screen, understand what they're looking at, and figure out how to achieve the goal. If a button moves, the agent notices and adapts. If a form changes, it handles it. That's computer use in its purest form. Real control of real software, not brittle scripts.
The OSWorld Benchmark Proves It
OSWorld is the only benchmark that tests agentic computer use on real software. It forces agents to navigate actual operating systems, open applications, and complete multi-step tasks. The human baseline sits at 72.36%. OpenAI's Computer-Using Agent (CUA) scored 38.1%. Anthropic's Claude 3.5 Computer Use barely cleared the bar. Coasty hit 85.6% on our own internal runs and 82.81% on the official OSWorld leaderboard. That's not close. That's domination. Coasty is the first AI computer use agent to decisively beat the human baseline and then push past it.
Why 90% of AI Pilot Programs Stall
Most AI pilots fail because they're built on APIs, not real desktops. They can't handle the messy reality of enterprise software. They break when a user uploads a strange file type or fills a form with unexpected data. Coasty solves this by controlling actual desktops and browsers. It sees what users see. It navigates the same interfaces. It doesn't need perfect conditions to work. That's why our agents ship to production while others stay in the lab.
Coasty runs on desktop apps, cloud VMs, and agent swarms for parallel execution. You can scale across your entire organization without building a custom integration for every tool you use.
Why Coasty Exists (and Why You Should Use It)
The market is flooded with tools that promise automation but deliver scripts that break after a single UI update. Coasty is different because we built a computer use agent from the ground up to handle real software. Our agent doesn't just call APIs. It clicks, types, scrolls, and manages windows just like a human. It has a free tier and supports BYOK, so you can run it on your own infrastructure. When you compare RPA versus AI agents, the choice should be obvious. RPA is brittle and outdated. Coasty is robust, scalable, and proven.
RPA was a bridge between manual work and automation. That bridge is now broken. AI agents are the new road. Don't spend another year patching scripts that can't handle a changing world. Choose a computer use agent that controls real desktops, learns from mistakes, and actually ships. Check out coasty.ai to see why everyone else is switching.