Nikolas Badminton, Chief Futurist / Futurist Speaker

Nikolas Badminton is a world-renowned futurist speaker and Chief Futurist that mentors top executives and the highest levels of government to explore desirable futures, anticipate unforeseen risks, and strengthen strategic planning to drive growth.

He has spent 30+ years working with leadership at over 500 leading organizations at the frontline of futures, strategy and disruption - including NASA, Disney, Google, Microsoft, Intel, IBM, WM, JP Morgan CHASE, VISA, TD Bank, American Express, AtkinsRéalis, Thales Group, BISCI, ISACA, Rolls Royce, Procter & Gamble, US Department of State, UK Home Office, United Nations, and many more. 

Facing Our Futures: How foresight, futures design and strategy creates prosperity and growth - is Nikolas’ number one best selling book and has been selected as JP Morgan’s ‘Next Gen Pick’ for their prestigious Summer Reading List to guide new leaders to ignite curiosity and embrace futures thinking. It has also been named as the Next Big Ideas Club Top-50 Business Books.

Nikolas’ essential research has been featured by the BBC, VICE, The Atlantic, Fast Company, Business Insider, Forbes, Sunday Telegraph and many others.  He appears on SIRIUSXM and CTV regularly, was a key advisor to the ‘Age of AI’ series with Robert Downey Jr, and appears in the Franklin Institute's series ‘2050’.

Happy to connect to discuss futures thinking and how we can make your event incredible :: https://futurist.com/futurist-speakers-booking/

Chief Futurist at Futurist.com

AI is changing the…

Some sobering research from The National Bureau of Economic Research just surveyed 6,000 executives and the results are shocking. 90% of CEOs say AI had zero impact on productivity, yet corporate AI spending hit $250 billion in 2024. Economists say a 40-year-old paradox explains exactly why this is happening.

In 1987, Nobel laureate Robert Solow wrote a famous line: "You can see the computer age everywhere but in the productivity statistics."
Back then, companies poured billions into mainframes and PCs. U.S. productivity growth actually slowed, dropping from 2.9% per year to just 1.1% despite massive IT investment.

Link in the first comment -

Nikolas Badminton

Futurist Speaker | Futurist Keynote Speaker | Chief Futurist & Hope Engineer at Futurist.com | AI, Climate, Geopolitics & Innovation | 500+ orgs advised

AI...blah blah...AGI...the futures is here - something about not being evenly distributed.

In reality, new AI + sensor fusion systems are part of the human ecosystem and they need us more than we need them.

"Waymo's fleet of robotaxis can drive passengers to various destinations without a human driver at the wheel. 

However, when it comes to closing the car door, Waymo's self-driving cars apparently still need help from humans. And humans who do gig work on DoorDash can now get paid to close Waymo car doors."

Read the article in the first comment

Nikolas Badminton, Futurist Speaker

Chief Futurist, futurist speaker, and #1 best selling author of Facing Our Futures #anticipate #activate #futures

You cannot trust AI to handle your bank account or run a business...

A new Princeton University paper reveals that AI agents are pushing accuracy benchmarks up but completely failing at actual dependability (link to the paper in the first comment).

In "Towards a Science of AI Agent Reliability" researchers tested 14 different models across 500 benchmark runs to rigorously measure their performance under pressure. The findings how that these tools are actually way too unpredictable to handle any serious tasks on their own right now thus challenging the 'agentic era' narratives many are pushing today.

Researchers borrowed aviation engineering principles to break true reliability down into consistency, robustness, predictability, and safety.

Consistency means the model produces the exact same correct result every single time it tries a task.

Robustness measures if the system survives minor technical glitches or a slight rephrasing of your prompt.

Predictability checks if the agent actually knows when it is confused instead of confidently guessing.

Testing proved predictability is overwhelmingly the weakest link across all modern language models.

They discovered that simply building larger models does not automatically resolve these massive dependability failures.

Does this affect how you are approaching the practical use of LLMs in your business and/or changing your plans for chains of agentic AI embedded in your organization?

'OpenClaw founder joins OpenAI to create next-gen personal agents'

That's a small aquihire in about 6 weeks since launch. What does this show us? OpenAI's desperation to be relevant? OpenClaw's inability to be more than a drop in the ocean 'meme-platform'? A naiveté that OpenAI will honor thw foundation idea?

What do you think? Is the lobster cooked?

Link for more info in the comments.

Reminder: A press release is not dusruption

#AI

Join CIOs, CISOs, and IT leaders at the 2026 CIO Peer Forum® in Vancouver on April 15th and 16th with me giving a look at the futures ahead of us. 

Connect with top tech leaders, exchange insights, and co-create the future of IT innovation. Don’t miss out, register to secure your spot today! 🚀

Our premier tech leadership event is back! Join CIOs, CISOs, and IT leaders at the 2026 CIO Peer Forum® in Vancouver on April 15th and 16th. Connect with top tech leaders, exchange insights, and co-create the future of IT innovation. Don’t miss out, register to secure your spot today! 🚀

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