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Robotic process automation (RPA)

RPA is being disrupted by AI agents; the simple screen-scraping and rule-based automation that defined UiPath and Automation Anywhere is being replaced by LLM-powered alternatives.

medium conviction mature

Research snapshot · updated Apr 22, 2026

Core thesis

Traditional RPA (UiPath, Automation Anywhere) records and replays human actions on screens. It is brittle – it breaks when a UI changes. Modern AI agents (Claude, GPT-5, Gemini) understand intent, adapt to interface changes and handle unstructured data, so the screen-scraping moat is thin. The market is large and still growing, but the underlying technology is being commoditised by general-purpose AI; the incumbents survive by repositioning as the orchestration and governance layer for agents rather than as bot vendors.

State of the art (2026)

By mid-2026 the RPA category has folded into agentic automation. UiPath, a year into general availability of its agentic platform, swung to its first GAAP profit in its May 2026 quarter (~$418m revenue, ~$1.9bn ARR) and now sells itself as the orchestration and governance layer for AI agents rather than as a screen-scraping bot vendor; it has added UiPath for Coding Agents. ServiceNow, having closed its $2.85bn Moveworks buy in 2025, pushes Now Assist agents into IT, HR and finance, while Microsoft Copilot Studio, Salesforce Agentforce and SAP Joule bundle agents into incumbent suites. Classic deterministic bots persist in regulated, audited, air-gapped back offices where hallucination risk is unacceptable. The open question is margin: whether pure-plays defend pricing as hyperscalers give agents away.

Explore the deeper analysis in CanaryIQ

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Signal stack

Evidence stacked leading → lagging

9 signals
talent
research
patent
expert
operational
regulatory
market

Technology-native KPIs

Metrics that predict trajectory, tracked over time

4 tracked
Global RPA market revenue
Enterprise RPA adoption rate
Average RPA bot ROI payback period
AI-augmented RPA share

Landscape map

Who builds what — and who depends on whom

192 players · 6 layers

Catalyst calendar

Dated events that will move the position

5 ahead

Technology roadmap

Milestones on the path to maturity

8 milestones

Watchlists

Companies, people and papers — each with a remove-by condition

3 · 19
Companies · 3
People · 19

Decision frameworks

The same call, framed for your desk

Locked
Public Equity
PE / VC
Corporate Leader

Thesis changelog

When our view changed, and why

5 updates

Change our mind

2 disconfirming conditions

You've read the verdict. The file is much deeper.

The full signal stack, technology-native KPIs tracked over time, the landscape of who depends on whom, the dated catalyst calendar, decision frameworks for every desk, live watchlists and the changelog of every time our call on Robotic process automation (RPA) has changed — all live inside CanaryIQ.