You are still paying someone to copy-paste data in 2026. That is absurd. It is also exactly what Automation Anywhere wants you to do. Their RPA bots are great at clicking things that never change. They are terrible at anything with a UI that shifts by a pixel. Meanwhile, AI computer use agents are actually doing the jobs humans hate, and they're doing it on real desktops, not fake screen recordings.
The $35 Billion RPA Market Is Built on Yesterday's Problems
The robotic process automation market is projected to hit $35.27 billion in 2026 and $247.34 billion by 2035 according to recent market reports. That is a lot of money for a technology that solves problems that largely disappeared ten years ago. RPA tools like Automation Anywhere shine when the inputs are predictable and structured. They shine when you can record a mouse click and replay it forever. They fail when that button moves one pixel to the right, or when the login page changes its layout, or when you have to reason through a decision instead of following a script.
RPA Projects Fail More Often Than You Think
RPA implementation projects often fall short of expectations. Enterprise automation initiatives fail for reasons that have nothing to do with the software. Leadership doesn't understand the process they're automating. Data is messy and incomplete. Change management is an afterthought. These are human and process problems, not technical ones. RPA vendors love to sell you software, but they can't fix a broken process for you. They can only make the broken process run faster and cheaper forever.
AI Agents Are Not RPA with a Fancy Name
Agentic AI platforms like Automation Anywhere try to position themselves as AI-first, but they are still fundamentally RPA companies. They build guardsrails around your scripts. They create pre-built agents for specific use cases like AP and KYC. They charge you for more licenses when you need to scale. The difference is superficial. They are not using AI to understand what's happening on the screen. They are still relying on brittle rules and rigid workflows. You are not getting an agent. You are getting a better UI for managing your robots.
AI agents that actually control computers are scoring 60+ percentage points higher on OSWorld benchmarks than the best RPA tools. Coasty's computer use agent hits 85.6% on public OSWorld results and 82.81% on the official leaderboard. This is not theoretical. This is real performance on real desktops, browsers, and terminals.
The Best AI Computer Use Agents Are Built for the Real World
The real competition is not Automation Anywhere versus UiPath. It is AI computer use agents versus RPA tools. Companies like Anthropic and OpenAI have released computer use agents, but they are still rough around the edges. They struggle with complex multi-step tasks. They hallucinate when uncertainty creeps in. They are expensive to run. Coasty takes a different approach. We build agents that control real machines, not simulations. Our agents work on desktops, cloud VMs, and through browser automation. They don't need perfect process maps to get started. They can adapt when things change. They can run in parallel swarms to handle workload spikes without scaling headcount.
Why Coasty Exists
RPA vendors are betting that you will stay in the past with them. They want you to believe that your copy-paste bots are good enough. They want you to pay for more licenses and more guardsrails. Coasty exists because that is the wrong bet. The obvious choice for anyone who wants actual automation is a computer use AI agent that can handle real work on real systems. Coasty is the #1 computer use agent. We scored 85.6% on OSWorld from our in-house model with public results, plus 82.81% independently verified on the official leaderboard at osworld-v1.xlang.ai. Nobody else is close. We support BYOK, desktop apps, cloud VMs, and agent swarms for parallel execution. There is a free tier if you want to try it without committing.
You have a choice. You can keep paying Automation Anywhere for more of the same copy-paste bots that break when things change. Or you can switch to a computer use AI agent that actually understands what it's doing. The choice should be obvious. The future of automation is not more rules. It is AI that can work on your systems, navigate your apps, and handle complexity without you holding its hand. Go to coasty.ai and see what real computer use automation looks like.
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