Name a role you know, and it is already on the list.
The bookkeeper first. In July 2025 Intuit put a team of agents inside QuickBooks, and its accounting agent, in the company's own words, automates bookkeeping and transaction categorization and assists in reconciliation.
The paralegal reads contracts and finds the inconsistency in the document, and charges $50 or $60 an hour for it. Why would you pay $60 for the thing an agent does for free? A legal agent called Harvey reached $100 million a year in revenue in August 2025, and $400 million a year later. It is used inside half of the hundred largest law firms in the United States. One of its features reads ten thousand documents against a hundred questions in one pass.
In June 2025 a company called XBOW put a fully autonomous agent on HackerOne, the marketplace where companies pay hackers to find their holes. It became the first machine to reach number one on the United States leaderboard, above every human hacker on it, with about a thousand submitted vulnerabilities, each one checked by running the attack in an invisible browser.
The customer-service agent: in February 2024 Klarna said its assistant had held two point three million conversations in a month, the work of seven hundred full-time people, resolving in under two minutes what humans took eleven minutes to resolve.
The shopper: in April 2025 Visa and Mastercard let agents pay with your card, search, choose and pay on your behalf, and Amazon began testing an agent that buys for you. The cheapest ticket, the auction bid at lightning speed, the house with the most upside in a market you have not read: those are not my fantasies.
And the front desk. I am building one now for a dental office, where the person at the front desk costs $100,000 a year and is very hard to find.
In April 2026 Meta began recording its employees' keystrokes, mouse clicks and screens on a list of work apps. What for?
Not to grade them. To train agents. In the company's own words, if we are building agents to help people complete everyday tasks using computers, our models need real examples of how people actually use them. They are recording the role, the way a tester records a scenario, and the recording is the training data for the agent that does it next. The employees were not happy about it, and the company said the recordings would not be used for performance reviews, only for training. I told my class in June 2026, and nobody in the room had heard of it.