MagnoliaTree: Inspiring Brave Leaders
MagnoliaTree: Inspiring Brave Leaders

Beyond Forecasts – Gregor Sieber on AI and Unpredictability

27 February 2026 1:06:35 MagnoliaTree

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About this episode

In this episode of the Inspiring Brave Leaders Podcast, Sabine Gromer speaks with Gregor Sieber – software industry veteran with over 20 years of experience and most recently Managing Director at CloudFlight Austria. Gregor brings a rare combination of deep technical expertise and sharp strategic thinking to one of the most pressing questions facing leaders today: Are you truly ready for what AI is about to demand of you?

Together, Sabine and Gregor challenge some of the most dangerous myths and biases that are keeping executives passive in the face of exponential change. From the status quo bias and optimism bias to confirmation bias – they name what's getting in the way, and make a case for why traditional three-to-five-year strategies are no longer fit for purpose.

The conversation takes a turn toward scenario thinking, anti-fragility, and what it means to lead organizations that don't just survive uncertainty, but are built to benefit from it.

Whether you're just starting your AI journey or rethinking your entire organizational model, this episode's for you.


Our Guest

https://www.linkedin.com/in/gsieber/

https://www.postdigitalleader.blog/


Shownotes

Davos Conversation about AGI


AI Sources – Recommendations by Gregor

Gregor Sieber suggests following these blogs and people for AI insights. He notes that he doesn't have time for every Lex Fridman or Dwarkesh podcast, so he uses them to spot trending topics and guests, then researches them traditionally. Gregor also recommends using AI tools to discover more good AI sources.


https://www.deeplearning.ai/the-batch/

https://www.deeplearning.ai/the-batch/tag/data-points/

https://huggingface.co/blog

https://developer.nvidia.com/blog

https://techcrunch.com/category/artificial-intelligence/

https://hai.stanford.edu

https://bair.berkeley.edu/blog/

https://machinelearning.apple.com

https://openai.com/news/

https://openai.com/research/index/

https://research.google/blog/

https://ai.google/research/

https://deepmind.google/blog/

https://blog.google/innovation-and-ai/models-and-research/google-deepmind/

https://www.distillabs.ai/blog

https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026

http://yann.lecun.com

https://www.linkedin.com/in/yann-lecun/

https://www.linkedin.com/in/andrewyng/

https://www.linkedin.com/in/demishassabis/

https://www.darioamodei.com

https://www.linkedin.com/in/fei-fei-li-4541247/

https://lexfridman.com/podcast/ – if not for listening, then for identifying topics and people

https://karpathy.ai

https://simonwillison.net

https://www.dwarkesh.com Dwarkesh Patel podcast – if not for listening, then for identifying topics and people

https://twimlai.com/podcast/twimlai

https://neurips.cc – one of the most important conferences in the field

https://arxiv.org – find papers, e.g.: https://arxiv.org/list/cs.AI/recent

https://www.platformer.news/

https://garymarcus.substack.com/ 

https://datasociety.net/

https://jack-clark.net/

https://thegradient.pub

https://www.alignmentforum.org/

https://www.lesswrong.com/

https://www.latent.space

https://www.oneusefulthing.org

https://www.ben-evans.com/essays

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