Automation Anywhere Is Charging You $15K Per Bot While AI Computer Use Agents Do It Better for Free

The Dirty Secret RPA Vendors Don't Put in Their Sales Decks

Here's what the Automation Anywhere pitch sounds like: automate repetitive tasks, deploy bots at scale, achieve ROI in months. Here's what actually happens. You spend three to six months building and testing bots. You pay licensing fees that start at five figures per bot. You go live. Then someone on the product team redesigns a form, or IT upgrades a legacy system, or a web app shifts a dropdown menu two inches to the left. Your bot doesn't adapt. It crashes. Silently, or loudly, or both. A real Gartner stat that nobody frames correctly: over 40 percent of agentic AI projects are predicted to be canceled by end of 2027, largely because organizations underestimated ongoing complexity and cost. That's the new stuff. The old RPA world has been dealing with this failure problem for a decade. Research consistently shows that traditional RPA licensing is only 25 to 30 percent of total deployment cost once you factor in implementation, customization, and that relentless maintenance overhead. So that $15,000 bot license? You're really spending $50,000 to $60,000 when the full picture comes in. And over 40 percent of workers are still spending at least a quarter of their work week on manual, repetitive tasks anyway, because the bots couldn't handle the edge cases. You paid enterprise prices and still have humans doing the work.

Why RPA Was Always a Workaround, Not a Solution

• ●RPA bots follow scripts. They click button A, then field B, then submit C. Change any one element and the whole chain breaks. A computer use AI agent reads the screen like a human and figures out what to do next.
• ●Automation Anywhere requires certified developers and months of implementation time. A computer use agent can be pointed at a task in plain English and start working the same day.
• ●RPA has zero judgment. If a form has an unexpected error message, the bot either ignores it or crashes. A computer use agent reads the error, interprets it, and decides what to do.
• ●Scaling RPA means buying more bot licenses at $5,000 to $15,000 each. Scaling a computer use agent means spinning up more instances, often at a fraction of the cost.
• ●Automation Anywhere's own community forum has users literally asking 'Is Automation Anywhere Smart or Stupid These Days?' in 2025. That thread exists. Go read it.
• ●The OSWorld benchmark, the gold standard for real-world computer task performance, shows that leading computer use agents now complete complex desktop workflows that no RPA bot could ever attempt, because those tasks require reasoning, not scripting.

What a Computer Use Agent Actually Does That RPA Cannot

The fundamental difference is this: RPA automates a fixed path. A computer use AI agent navigates toward a goal. That distinction sounds philosophical until you watch it in practice. An RPA bot filling out a vendor onboarding form will fail the moment a required field appears that wasn't there last month. A computer use agent sees the new field, reads the label, infers what information belongs there based on context, and fills it in. It doesn't need to be reprogrammed. It adapted. This is why the AI agent vs RPA debate isn't really a debate anymore among people who've used both. Computer-using AI operates on real desktops, real browsers, and real terminals. It sees what a human sees. It reasons about what a human would do. And it executes without someone having to map every possible state of every possible UI in advance. The a16z team put it well in their August 2025 piece on computer use and agentic coworkers: autonomous task-oriented AI agents capable of working independently has long been the field's north star. We're there now. The tools exist. The benchmarks prove it. The only thing keeping companies on RPA at this point is inertia and the sunk cost fallacy.

The Benchmark That Should End This Argument

OSWorld is the benchmark that matters for computer use. It tests AI agents on 369 real desktop tasks across file management, web browsing, and multi-app workflows. These are not toy problems. They're the kinds of tasks your operations team does every day. Anthropic's Claude Sonnet 4.5 scores 61.4 percent on OSWorld. That's a capable model from one of the best AI labs in the world. Coasty scores 82 percent. That's not a rounding error. That's a different category of performance. Coasty is the highest-scoring computer use agent on OSWorld, period. It controls real desktops, real browsers, and real terminals. It supports agent swarms for parallel execution, meaning you can run dozens of tasks simultaneously without buying dozens of bot licenses. There's a free tier. You can bring your own keys. And it doesn't require a six-month implementation engagement or a certified RPA developer to get started. The comparison to Automation Anywhere isn't even close on capability. And when you factor in cost, it becomes almost embarrassing.

Why Coasty Exists

Coasty was built because the people who made it were tired of watching smart companies waste money on brittle automation. The RPA model made sense in 2015 when AI couldn't reliably read a screen and decide what to do. That constraint no longer exists. Coasty is a computer use agent that sits in front of a real desktop environment, sees everything on screen, and executes complex multi-step workflows without needing a script for every possible state. It scored 82 percent on OSWorld, which is the highest of any computer use agent publicly benchmarked. Not close to the highest. The highest. It runs in a desktop app or cloud VMs. It supports agent swarms so you can parallelize work that would take an RPA fleet to match. And the free tier means you can actually test it on your real workflows before committing. No six-figure implementation contract. No bot license per process. No maintenance team on standby for when a UI update breaks everything. If you're currently paying Automation Anywhere for bots that need babysitting, the honest question is: what exactly are you paying for? Visit coasty.ai and see what a computer use agent that actually works looks like.