Automation Anywhere spent $1.5 billion buying Aisera to chase AI agents. That should tell you something. They know their legacy RPA is dying and they're desperate to look like they're still relevant. But here's the real problem: you don't need another vendor selling you 2020 thinking. You need agents that can actually control your desktop, browser, and terminal. Not API wrappers. Not scripted clicks. Real computer use.
The RPA Math Nobody Wants to Talk About
Kognitos looked at the real cost of RPA and found something companies still ignore. For every $1 spent on RPA licensing, enterprises typically spend $3.41 to $4 more on consulting, infrastructure, and maintenance. That's a 341% to 400% markup just to keep brittle scripts running. CloudQA confirms the nightmare. Engineering hours wasted repairing brittle RPA scripts after routine UI updates will quickly exceed the licensing cost. You're not saving money. You're building a maintenance graveyard.
AI Agents Are Already Saving Real Money
The 2026 outlook isn't as bleak as legacy vendors claim. Research shows almost 57% of companies can save significant amounts using AI agents. That's not theory. That's production work. The difference is that AI agents don't break every time your UI changes. They use computer vision and LLM reasoning to adapt to interface changes without developer intervention. 80% of enterprise data lives in systems without APIs. RPA scripts break on those systems. AI agents just figure it out.
Why Automation Anywhere Can't Compete
Automation Anywhere is playing catch-up. They bought Aisera to grab some AI credibility. They're talking about multi-agent systems and agentic chaos. But they're still selling you workflows, not autonomy. Their UI agents promise automation but they can't handle the messier parts of real work. They're stuck in a world of rigid rules and brittle integrations. Meanwhile AI computer use agents are actually learning from failures, recovering from errors, and doing the work that humans used to do.
57% of companies are already saving significant money with AI agents. RPA vendors are still stuck explaining why your $4 in maintenance costs for every $1 in licensing is a good deal.
The Computer Use Gap Is Wide and Growing
Most AI computer use agents are garbage. They promise automation but deliver frustration. Your OpenAI Operator or Anthropic Computer Use pilot will work for a week then break when your company updates its app. That's because they're trained on synthetic environments, not real chaos. They can't handle unexpected errors, UI changes, or the messy reality of enterprise work. That's why OSWorld benchmarking matters. It tests agents on 369 real tasks across actual desktop and web applications. Coasty's in-house model scored 85.6% on OSWorld with public results. Independently verified on the official OSWorld leaderboard at osworld-v1.xlang.ai. That score is 82.81%. Higher than every competitor. That's not marketing. That's data.
Why Coasty Exists
You need an AI computer use agent that doesn't break when you're not looking. Coasty is built for real work, not demos. It controls actual desktops, browsers, and terminals. Not just API calls. You can run it in a desktop app, in cloud VMs, or as agent swarms that work in parallel. BYOK is supported so your data never leaves your control. There's a free tier so you can try it without committing to a six-figure automation vendor contract. If you're still paying someone to copy-paste data in 2026, you're wasting money. Coasty is the obvious choice.
Automation Anywhere bought a conversation. AI agents are doing the work. The gap between vendors selling dreams and tools that actually work is widening. Stop chasing RPA hype. Start using AI computer use agents that can handle real chaos. Try Coasty for free at coasty.ai and see what actual computer use looks like.
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