The Great Rewiring: How the pandemic set the stage for AI β and whatβs next

From empty offices in 2020 to AI colleagues in 2025, the way we work has been completely rewired over the past five years. Our guest on this weekβs GeekWire Podcast studies these changes closely along with her colleagues at Microsoft.
Colette Stallbaumer is the co-founder of Microsoft WorkLab, general manager of Microsoft 365 Copilot, and the author of the new book, WorkLab: Five years that shook the business world and sparked an AI-first future, from Microsoftβs 8080 Books.
As Stallbaumer explains in the book, the five-year period starting with the pandemic and continuing to the current era of AI represents one continuous transformation in the way we work, and itβs not over yet.
βChange is the only constantβshifting norms that once took decades to unfold now materialize in months or weeks,β she writes. βAs we look to the next five years, itβs nearly impossible to imagine how much more work will change.β
Listen below for our conversation, recorded on Microsoftβs Redmond campus. Subscribe on Apple or Spotify, and continue reading for key insights from the conversation.
The βHollywood modelβ of teams: βWhat weβre seeing is this movement in teams, where weβll stand up a small squad of people who bring their own domain expertise, but also have AI added into the mix. They come together just like you would to produce a film. A group of people comes together to produce a blockbuster, and then you disperse and go back to your day job.β
The concept of the βfrontier firmβ: βTheyβre not adding AI as an ingredient. AI is the business model. Itβs the core. And these frontier firms can have a small number of people using AI in this way, generating a pretty high run rate. So itβs a whole new way to think about shipping, creating, and innovating.β
The fallacy of βAI strategyβ: βThe idea that you just need to have an βAI strategyβ is a bit of a fallacy. Really, you kind of want to start with the business problem and then apply AI. β¦ Where are you spending the most and where do you have the biggest challenges? Those are great areas to actually think about putting AI to work for you.β
Adapting to AI: βYou have to build the habit and build the muscle to work in this new way and have that moment of, βOh, wait, I donβt actually need to do this.β β
The biggest risk related to AI: βThe biggest risk is not AI in and of itself. Itβs that people wonβt evolve fast enough with AI. Itβs the human risk and ability to actually start to really use these new tools and build the habit.β
Human creativity and AI: βIt still takes that spark and that seed of creativity. And then when you combine it with these new tools, thatβs where I have a lot of hope and optimism for what people are going to be able to do and invent in the future.β
Audio editing by Curt Milton.
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