57 - Why did Elon Musk replace Scaled Agile with MobAI? Collaboration in the era of AI - With Joe Justice

Dec 9, 2025

Joe Justice, Agile-Praktiker und Gründer von Initiativen bei Tesla, spricht über die innovative Arbeitsweise MobAI. Er erklärt, wie MobAI traditionelle agile Methoden überwindet und AI nutzt, um Entscheidungen in Echtzeit zu treffen. Die Bedeutung von Rollen wie Driver und Navigator wird hervorgehoben, während das Justice Board Echtzeit-KPIs bietet. Joe betont, dass kurze Zeitintervalle und flexible Teamrotationen die Zusammenarbeit fördern und menschliche Kreativität in den Vordergrund stellen, während KI unterstützen und beschleunigen kann.

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INSIGHT

Mensch Im Mittelpunkt, KI Als Beschleuniger

MobAI stellt menschliches Urteil, Kreativität und Ethik in den Mittelpunkt neben KI-gestützter Datenbereitstellung.
KI liefert fast sofortige Datenpräsentation, sodass Menschen informierte Entscheidungen in Echtzeit treffen.

INSIGHT

Justice Board Statt Meetingflut

Sehr kurze Release-Zyklen machen viele Meetings und statische Artefakte überflüssig.
Das zentrale Artefakt ist das automatisch gepflegte "Justice Board" mit Echtzeit-KPIs, das Teams steuert.

ADVICE

Reduziere Abhängigkeiten Mit Modularität

Vermeide Abhängigkeits-Meetings durch modulare Architektur und integrierte KI-Unterstützung.
Messe kontinuierlich Kosten-, Material- und Flächenverbrauch pro Zeiteinheit auf dem Justice Board.

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New challenges and new possibilities created by AI call for new ways of working. Traditional agile frameworks reach their limits when products evolve in minutes, data is available instantly and decisions need to be made in real time. MobAI responds to exactly these conditions. In this episode, Joe Justice explains how MobAI emerged and why companies across industries are exploring this AI-native approach to collaboration and rapid problem-solving.Tell me, Joe – why did Elon Musk replace Scaled Agile with MobAI?

In this episode, we talk about

why MobAI puts human judgment, creativity and ethics at the center while AI accelerates data access and decision-making,
how ultra-short release cycles make meetings and static artifacts less relevant,
what the “Justice Board” is and how real-time KPIs guide teams without overhead,
how the three initial roles — driver, navigator and mobAIs — support learning and quality,
and why intensity, rotation and short timeboxes create both focus and sustainable performance.

A conversation about collaborative problem-solving, AI-native ways of working and the future of team dynamics.

Joe Justice has supported Agile adoption in more than 20 countries. He has taught Scrum practices at organizations including Tesla, Google, Amazon, Microsoft, Boeing, Toyota, Rakuten, and Mercari. As founder of the automotive initiative Wikispeed, he helped bring true agility into hardware development and showcased his work at global auto shows.

He is a TED speaker, author, and has lectured for companies such as Google and Microsoft as well as at institutions including Harvard University and Oxford University. His Agile work has been featured in Forbes, Harvard Business Review, Discovery Channel, Nikkei, Asahi Shimbun, and other international media.

More information:X: https://twitter.com/JoeJustice

Instagram: https://www.instagram.com/joe.a.justice/

LinkedIn: https://www.linkedin.com/in/joejustice

Webpage: https://en.abi-agile.com/

This is the book we talked about Woody Zuill and Kevin Meadows: Software Teaming: A Mob Programming, Whole-Team Approach

Ayelt Komus on LinkedIn: https://www.linkedin.com/in/komus/

#SagMal #TellMe #Podcast #MobAI #Agile #AI #Innovation #Teamwork #ProductDevelopment #Leadership