Why One Founder Is Delaying Hiring While Using AI Agents

Ryan Carson describes learning business functions personally before deciding when to hire.

RCRyan CarsonInvité
Chaîne
Peter Yang
Publié
25 mai 2026
Vidéo
0:32
Lecture
1 min
Original
anglais
Ouvrir sur YouTube
En faisant défiler, la vidéo se réduit en bas à droite et continue. Les sous-titres suivent votre langue de lecture.
Langue de lectureDisponible en 2 langues
Cet article n’est pas encore disponible en français ; il s’affiche dans l’original en anglais.
RÉSUMÉ

En 30 secondes

Ryan Carson says that despite raising seed funding, he is delaying hiring while using agents to learn and perform different tasks. His comparison of agent and human onboarding is a personal claim, not a measured result.

  1. 1A choice to delay hiringThe founder says he has funding but plans not to hire immediately.
  2. 2Learn the work firstHe wants firsthand experience with functions before filling roles.
  3. 3Use agents as toolsHe describes using agents to help perform and learn those functions.

À retenir

  1. The founder wants to understand a role before hiring someone for it.
  2. He uses agents as part of learning and carrying out business tasks.
  3. His onboarding comparison is an opinion and does not establish that agents replace people in every role.
TEXTE INTÉGRAL

Lire le texte remanié, chapitre par chapitre

Transcription seule
01

Learning before hiring

A founder explains a personal staffing approach.

Ryan Carson says that, despite raising seed funding, he plans to delay hiring while learning how different parts of the business work. He uses AI agents to help perform tasks and develop that understanding. He believes agents are easier to onboard, but the dramatic comparison in the clip is his opinion rather than a measured result, and the appropriate staffing decision depends on the work and organization.

Sur la même chaîne

4 diapositives21:47EN
Peter Yang· 9 nov. 2026PodcastFable 5.2 won four creative tests; Opus resisted pressure betterPeter Yang compared five tasks and found Fable stronger at creative outputs, while Opus more often challenged misleading pushback.Foundation ModelsÉvaluationsGenerative media+2
46:40EN
Peter Yang· 8 nov. 2026Podcast · 2 voixAshley Alexander: How AI Helps Me Care for My Parents With CancerInvité : Ashley Alexander · Anime : 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. 2026PodcastPeter 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. 2026PodcastHow 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. 2026Podcast · 2 voixJaclyn Konzelmann: When AI Can Build More, Choose What Deserves to ExistInvité : Jaclyn Konzelmann · Anime : 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 diapositives13:05EN
Peter Yang· 28 oct. 2026PodcastPeter 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 mediaVision et vidéo