In 30 seconds
Peter Yang predicts that AI agents will increasingly interact with websites and applications on users' behalf. He argues that product teams should consider agent access and cross-app workflows; the prediction is not established by the clip's general bot-traffic reference.
- 1A prediction about usersYang expects agents to become a common interface to websites and apps.
- 2The interface may be bypassedHe gives editing a document through an agent as an example of indirect use.
- 3Cross-app contextHe says a daily brief combining email, calendar and Slack illustrates the appeal of an agent spanning multiple services.
Takeaways
- Yang predicts more application activity will be performed by agents on behalf of users.
- He values agents that combine context across services such as email and calendar.
- General bot traffic includes many kinds of automated activity and does not by itself establish the share performed by AI agents.
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Software accessed through agents
Yang discusses a possible shift in application use and discovery.
Peter Yang predicts that AI agents will increasingly read, write and interact with websites and applications on users' behalf. He describes using agents across email, calendar and Slack and argues that product teams should think about discoverability and interfaces for automated access. He refers to general bot-traffic data, but bot traffic includes many forms of automation and does not by itself show how much activity comes from AI agents. His view that agents will become the default user is a prediction.
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