UiPath doesn't like to talk about it, but EY and Deloitte have been saying the same thing for years: 30% to 50% of RPA projects fail. You can't make that up. You can't spin that. You can only choose to ignore it until your boss asks why your ten‑million-dollar automation initiative is still doing manual work.
RPA Was Built for 2015, Not 2026
RPA bots were designed to click buttons on screens that never change. They read text exactly as it appears, they follow rules to the letter, and they break the second a vendor ships a new layout. You spend months building a workflow, then three days fixing it when the UI updates. That's the RPA lifecycle in 2026. It's not automation. It's maintenance.
AI Agents Are Not Magic, But They're Closer to Reality
AI computer use agents can see windows, read text, click buttons, and navigate the web. They don't need you to map every pixel. They reason about what they see and adjust when something changes. That doesn't mean they're perfect. They hallucinate. They get stuck on edge cases. But they actually solve problems instead of just repeating instructions forever.
The Real-World Gap Between Benchmarks and Workflows
- OSWorld 2.0 shows agents struggle with long‑horizon workflows that span multiple sessions and dynamic environments.
- Planning, perception, and navigation inefficiencies account for about 80% of error modes in real‑world computer use.
- Benchmarks that test isolated tasks don't capture the messiness of actual work, where tools break, APIs change, and users do unexpected things.
Real workflows don't come with a clean test suite. They come with broken links, confusing menus, and developers who change APIs without telling anyone. Benchmarks that only measure isolated tasks are misleading. You need agents that actually handle that mess.
Why Everyone Is Still Buying RPA
RPA vendors have spent a decade selling the dream of 'robotic process automation.' You plug in a bot, it logs into a system, it does a job, and you never think about it again. The pitch is seductive. The reality is that most organizations are stuck maintaining RPA as a permanent maintenance burden. They're not automating anything. They're just paying people to babysit bots.
The Only Computer Use Agent That Actually Competes
When you look at actual performance, Coasty.ai stands out. Our in‑house model hits 85.6% on OSWorld with public results. The official leaderboard shows 82.81% independently verified, higher than every competitor. That's not a marketing number. It's what happens when you build a computer use agent specifically for desktops, browsers, and terminals instead of just throwing a language model at screenshots.
Why Coasty Is Different
- It controls real desktops, not just API calls. You can run it in your own cloud VMs or on your own machines with BYOK support.
- Agent swarms let you parallelize work across multiple machines instead of waiting in line for a single bot to finish.
- There's a free tier, so you can actually try it instead of signing a contract before you know whether it works for your use case.
RPA isn't dead, but it's obsolete for anything that changes more than once a year. AI computer use agents are the future, but not every agent is built the same. Coasty is the only one that consistently beats the benchmarks and actually handles real workflows. If you're still paying someone to copy‑paste data in 2026, you're not just wasting money. You're wasting time. Start with a free Coasty agent at coasty.ai and see the difference for yourself.
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