Automate desktop tasks by letting an AI control mouse/keyboard

Automate desktop tasks by letting an AI control mouse/keyboard targets a $45.0B = 300M knowledge workers × $150/year ACV for desktop automation assistant total addressable market with medium saturation and a year-over-year growth rate of 20% CAGR in automation and AI productivity tools — industry estimates from McKinsey and Forrester indicating rising AI-driven automation adoption (sources: McKinsey "Automation and the future of work", Forrester AI predictions)..

Key trends driving demand: AI-first productivity — large models enable natural-language creation of automations, lowering the skill barrier and creating demand for non-code desktop automation.; Privacy and on-device compute — enterprises and prosumers prefer local execution for sensitive workflows, enabling private agents as a differentiator.; Convergence of RPA and AI — traditional RPA is integrating ML and NLP, making it feasible to automate more complex, decision-driven GUI tasks.; API and OS accessibility improvements — accessibility APIs and better endpoint management tools make reliable desktop automation more achievable than before..