Peter Yang's Prediction: AI Agents Will Become Major Users of Apps

He argues that cross-app workflows could change how software products are discovered and used.

PYPeter YangPresenta · Peter Yang
Canal
Peter Yang
Publicado
4 jul 2026
Vídeo
1:37
Lectura
1 min
Original
inglés
Abrir en YouTube
Al desplazarte, el vídeo se reduce a la esquina inferior derecha y sigue reproduciéndose. Los subtítulos siguen tu idioma de lectura.
Idioma de lecturaDisponible en 2 idiomas
Este artículo aún no está en español, así que se muestra el original en inglés.
RESUMEN

En 30 segundos

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.

  1. 1A prediction about usersYang expects agents to become a common interface to websites and apps.
  2. 2The interface may be bypassedHe gives editing a document through an agent as an example of indirect use.
  3. 3Cross-app contextHe says a daily brief combining email, calendar and Slack illustrates the appeal of an agent spanning multiple services.

Conclusiones

  1. Yang predicts more application activity will be performed by agents on behalf of users.
  2. He values agents that combine context across services such as email and calendar.
  3. General bot traffic includes many kinds of automated activity and does not by itself establish the share performed by AI agents.
TEXTO COMPLETO

Lee el texto editado por capítulos

Solo la transcripción
01

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.

Más de este canal

46:40EN
Peter Yang· 8 nov 2026Pódcast · 2 vocesAshley Alexander: How AI Helps Me Care for My Parents With CancerInvitado: Ashley Alexander · Presenta: Peter YangA caregiver uses AI to prepare for appointments, organize records and ask better questions—while keeping doctors at the center of treatment.AI in healthcareHuman-AI CollaborationProductivity
17:50EN
Peter Yang· 4 nov 2026PódcastPeter Yang’s Five Steps for Using AI to Help Care for His MotherYang uses a shared care brief and organized records to navigate appointments, while making time for family.AI in healthcareHuman-AI CollaborationProductivity
15:03EN
Peter Yang· 3 nov 2026PódcastHow Peter Yang Used an AI Phone Agent to Negotiate His Internet BillAn AI call negotiated a lower price and faster service, but Yang still had to approve the change himself.AI agentsProductivityHuman-AI Collaboration
33:09EN
Peter Yang· 1 nov 2026Pódcast · 2 vocesJaclyn Konzelmann: When AI Can Build More, Choose What Deserves to ExistInvitado: Jaclyn Konzelmann · Presenta: Peter YangGoogle Labs pairs short strategy documents with prototypes, user co-creation and lessons from experiments that end.AI Product ManagementProduct StrategyHuman-AI Collaboration+1
4 diapositivas13:05EN
Peter Yang· 28 oct 2026PódcastPeter Yang Tests Genie 4: Convincing Worlds, Unfinished GameplayFive live demonstrations show scenes that respond to prompts and sound, alongside inconsistent actions and limited game mechanics.Generative mediaVisión y vídeo
Diapositivas1:06EN
Peter Yang· 26 oct 2026PódcastPeter Yang on Setting Up Payroll for a One-Person BusinessIn a paid partnership, Yang describes the paperwork he encountered and a payroll product integrated with a business account.EntrepreneurshipProductivity