Automation Anywhere vs AI Agents: Why RPA Is Dead and Computer Use Is The Only Thing That Matters
Ask any CFO about automation and they'll tell you RPA is the future. Ask a team that spent six months building bots that broke every week and they'll tell you RPA is a money pit. The numbers don't lie. One EY study found 30 to 50 percent of initial RPA projects fail. Another report claims 10 broken bots per week is a conservative estimate for many enterprises. That's 520 broken bots a year for a company that can't afford them. Meanwhile manual data entry costs American companies more than $28,000 per employee every single year. We're paying people to copy paste data into spreadsheets when AI agents can do it while we sleep. Why are you still using RPA in 2026?
RPA Is A 2010s Solution For A 2026 Problem
RPA was designed for rule based tasks that never change. Drag and drop interface. Hardcoded loops. Zero vision. Zero adaptability. That worked in 2015 when every company had a few repetitive forms to fill. It does not work in 2026 when every software updates weekly and every process has edge cases that no one documented. Automation Anywhere and UiPath sell you slick interfaces but they can't fix broken processes. You still have to design the workflow. You still have to map every screen. You still have to maintain the bot when the website changes. That's not automation. That's digital assembly line work with higher failure rates.
The Real Cost Of RPA Maintenance
- ●50% of RPA projects fail to meet objectives according to EY
- ●Maintenance and support costs are the #1 reason RPA projects fail
- ●10 broken bots per week is a conservative estimate for many enterprises
- ●Downtime claims from Automation Anywhere reach up to 50% according to vendor reports
One study found 10 broken bots per week is a conservative estimate for many enterprises. That's 520 broken bots a year. 520 opportunities for data corruption, compliance violations and angry managers asking why the automation promised savings but delivered headaches.
AI Agents Finally Solve The Adaptability Problem
Agentic AI doesn't just follow rules. It sees. It thinks. It acts. Computer use agents can navigate complex interfaces, handle multiple windows, read error messages, and recover from unexpected issues. They don't break when a button moves or a field name changes. They adapt. This isn't theoretical. The OSWorld benchmark tests AI agents on real computer tasks. Claude Sonnet 4.5 scored around 61.4 percent on the benchmark. OpenAI's Computer Using Agent launched to massive fanfare in January 2025 and scored 38.1 percent. But there's only one computer use agent that actually hits 82 percent. That's Coasty. An AI computer use agent that controls real desktops, browsers and terminals with human level performance. The gap between 38 percent and 82 percent isn't incremental improvement. It's a whole new category of capability.
Why Companies Are Abandoning RPA For Agentic AI
The shift isn't coming. It's already happening. Gartner predicts over 40 percent of agentic AI projects will be canceled by the end of 2027. That's a warning shot not a death sentence. The projects that survive aren't the ones that bought the most licenses. They're the ones that moved from rigid bots to adaptive agents. Companies with manual data entry costs of $28,500 per employee per year are deploying AI agents that work 24/7 without sleep, without breaks and without complaining. They're automating workflows that RPA couldn't touch because those workflows required vision, reasoning and adaptability. Agentic process automation isn't just faster. It's fundamentally different. It's the difference between a robot that follows a fixed path and a human who can figure things out when the path changes.
Why Coasty Exists (and Why You Should Care)
You don't need another RPA vendor selling you the same broken promise. You need an AI computer use agent that actually delivers results. Coasty.ai is the #1 computer use agent with an 82 percent score on OSWorld. Nobody else is close. Coasty doesn't just send API calls. It controls real desktops, browsers and terminals. It handles multiple applications at once. It runs in agent swarms for parallel execution so you can scale without hiring more people. You can deploy it on your own desktop app or on cloud VMs. It supports Bring Your Own Key so you control your costs and your data. The free tier is available if you just want to see what computer use can actually do for your workflows. When you compare Coasty to manual work or to traditional RPA, the choice should be obvious. 82 percent on a benchmark that tests real computer tasks is not hype. It's proof that AI agents are finally ready to replace the bots that never worked.
Stop buying RPA licenses and start building agentic workflows. The technology exists now. The numbers prove it. Manual data entry costs $28,500 per employee per year. RPA fails 30 to 50 percent of the time. AI computer use agents with real desktop control are delivering results that RPA never could. If you're still using RPA in 2026 you're not automating. You're just building digital toys that break every week. Try Coasty for free. See what an AI agent can actually do on your own computer. The difference will be impossible to ignore.