What you'll learn in this episode
Amir Elion joins Gary Fabry on SIME Perspectives for a wide-ranging conversation about what AI transformation looks like — over the next decade, the next ten weeks, or even the next ten days. Amir is CEO of Think Big Leaders and former lead of AWS Innovation Programs in the Nordics. In this episode he lays out practical frameworks for leaders feeling overwhelmed by AI, and explores the harder questions about disruption, hybrid teams, and the role of humans as intelligence becomes cheap and scalable. These are topics Amir regularly speaks about at conferences and leadership offsites.
2025 is the year of agents
The pace is accelerating — money, talent and layered technology all compounding. Predicting ten years is hard; even ten weeks is ambitious. What is clear is that agents are the frontier today, and science breakthroughs in medicine, materials and space are already starting to come out of AI-powered research labs like Stanford.
Three buckets of AI opportunity
Amir's framework for overwhelmed leaders: productivity (getting things done faster and at scale), delight (embedding AI into products, workflows and customer experiences), and disruption (rethinking value chains and operating models because intelligence is now on tap for a fraction of a cent). Most organizations stop at productivity. The advice: build a portfolio across all three, and prepare both to be the disruptor and to be ready for disruptors.
Amazon leadership principles for the age of AI
Hire for mindset, not today's skills — the technology will keep moving. Four principles that transfer especially well:
- Think Big — the principle Amir named his company after.
- Learn and Be Curious — given the pace of change, curiosity is a survival skill.
- Bias for Action — now is the time to act, not sit on the fence.
- Dive Deep — go below the shallow solutions that everyone can produce. Look for these across the team, not in one person.
Hybrid teams — humans and AI agents at the same table
Teams are no longer purely human. The open question is how contextual human judgment combines with specialized agents that have access to your data and tools. Stanford's example of agent specialists doing deep protein research at a million-fold speed is a preview of how knowledge work gets restructured.
Don't start with the technology — start with your value chain
The classic Working Backwards move: look at the constraints that shaped your existing business — labor cost, language, local regulation, ecosystem dependencies — and notice which of them AI has quietly removed. Maybe you can now offer a lighter, AI-powered tier of your white-glove service to a much larger mass of customers, while keeping premium for those who need it. Then find the technology to pursue it, not the other way around. Amir works through this lens with leaders in his AI strategy consulting engagements.
Responsible, not cautious
Guardrails are not gatekeeping. Be transparent about AI use with customers, ask for consent, build security and privacy mitigations, and give your workforce guidance rather than throwing them in the water. Responsible speed beats cautious waiting.
The real risk is bad actors, not rogue AI
Amir is not most worried about AI taking over — he is worried about fraud, deepfakes, manipulation and weapons. The countermeasures are education, transparency, and practical safeguards (like agreeing a secret word with family members to verify voice or video callers).
Book Amir as a speaker
Amir delivers keynotes, workshops and executive sessions on the three buckets of AI value, Working Backwards for AI, hybrid teams, and navigating AI disruption at conferences and leadership offsites across the Nordics, Europe and internationally. Learn more about speaking topics and availability.