UiPath Is Charging You $30K a Year to Watch Bots Break. AI Computer Use Agents Don't.

UiPath Had a Wild 2024 and None of It Was Good for Customers

Let's start with the elephant in the room. In July 2024, UiPath got hit with a class-action securities fraud lawsuit. The complaint, later amended in September 2025, alleges that defendants propped up the company's stock price through fraud. That's the legal drama. The operational drama is older and more expensive. UiPath's licensing model has always been brutal. You're paying for Studio licenses, Orchestrator licenses, robot licenses, and then you're paying again for the consultants who implement the thing, the developers who maintain it, and the support tickets when it inevitably breaks. Independent analyses put total cost of ownership for a mid-sized RPA deployment well above what the sticker price suggests, with year-two maintenance costs climbing 30% or more as UI changes accumulate across the enterprise. And here's the part that should make any CTO furious: the bots aren't even that smart. They follow rigid scripts. They click coordinates. They copy values from field A to field B. That's it. The moment your ERP vendor pushes an update or your SaaS tool redesigns its dashboard, your bot throws an error and someone has to go fix it manually. You've automated the task of creating more manual work.

The Dirty Secret of RPA: 30-50% of Projects Fail Outright

• ●Industry data puts the RPA project failure rate at 30-50%, driven almost entirely by UI brittleness and underestimated support costs
• ●A single UI change, like an extra column in a spreadsheet or a redesigned button, can break a bot completely and silently
• ●Year-two maintenance on a typical RPA deployment can run €200,000+ as UI changes accumulate across systems
• ●Over 56% of employees still experience burnout from repetitive data tasks even at companies that have deployed RPA, because the bots only cover a fraction of the actual work
• ●Maintenance tickets for bot failures routinely exceed new automation requests at mature RPA shops, meaning the team spends more time fixing old bots than building new ones
• ●Manual data entry alone costs U.S. businesses $28,500 per affected employee per year, and RPA only partially addresses this because it can't handle unstructured inputs, edge cases, or anything requiring judgment

What AI Computer Use Actually Does Differently

A computer use agent doesn't follow a script. It sees the screen, understands what it's looking at, and decides what to do, exactly like a human would. Change the UI? The agent adapts. New application you've never automated before? The agent figures it out. This isn't a theoretical capability. OSWorld, the gold-standard benchmark for testing AI agents on real computer tasks, measures exactly this: can an AI actually operate software in a real environment, not a sandboxed demo? The scores tell the story. Anthropic's Claude Sonnet 4.5 made headlines when it posted a meaningful jump on OSWorld. But the top of that leaderboard belongs to Coasty, sitting at 82%, higher than every other competitor. That's not a marketing claim. That's a reproducible benchmark result on open-ended tasks across real desktop environments. Compare that to a UiPath bot, which has an effective success rate of zero on any task it wasn't explicitly programmed for. The architectural difference is total. RPA is a recorder. AI computer use is a thinker.

The RPA Community Knows It's Over

Don't take my word for it. Go read r/UiPath or r/rpa right now. The posts are titled things like 'RIP to RPA' and 'Is RPA really dead?' The developers who built careers on UiPath certifications are asking where to pivot. The honest ones are admitting that the cost of using AI to drive a deterministic set of activities is now lower than the cost of maintaining the brittle bots they spent years building. Even UiPath's own marketing has quietly shifted. They're talking about 'agentic automation' now. They're trying to bolt AI onto a platform that was designed to click buttons in a fixed sequence. That's like putting a Tesla motor in a horse-drawn carriage and calling it innovation. The carriage is still the carriage. The companies winning right now aren't the ones trying to modernize their RPA stack. They're the ones who skipped that step entirely and went straight to AI computer use agents that can handle real work without a developer writing a single selector.

Why Coasty Exists

Coasty was built for exactly this moment. It's a computer use AI agent that controls real desktops, real browsers, and real terminals. Not API integrations. Not pre-built connectors. Actual screen-level computer use, the same way a human operator would work, but faster and without coffee breaks. It scored 82% on OSWorld, which is the highest score of any computer use agent right now. Nobody else is close. You can run it as a desktop app, spin up cloud VMs for heavier workloads, or deploy agent swarms for parallel execution when you need to process things at scale. There's a free tier if you want to see what a real computer-using AI looks like before committing. BYOK is supported if you want to bring your own model keys. The pitch isn't complicated. You're either paying UiPath to maintain bots that break, paying employees to do work that shouldn't require humans, or you're using a computer use agent that actually adapts to the real world. Coasty is the third option. Go to coasty.ai and try it.