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Dr Mark van Rijmenam, CSP

Dr Mark van Rijmenam, CSP

Dr. Mark van Rijmenam, CSP, is a world-leading strategic futurist and award-winning global keynote speaker who helps Fortune 500 leadership teams navigate AI and emerging technologies. Recognized by Salesforce as one of 16 global voices shaping the future of AI, he holds a PhD from University of Technology Sydney and is the author of six books on emerging technology and judgment in the AI era, including his latest book: Now What? How to Ride the Tsunami of Change. He is the founder of Futurwise and the developer of the Intelligence Age Scorecard that helps individuals and organizations understand how prepared they are for the future.

His pioneering efforts include the world's first TEDx Talk in VR in 2020. In 2023, he further pushed boundaries when he delivered a TEDx talk in Athens with his digital twin, delving into the complex interplay of AI and our perception of reality. In 2024, he launched a digital twin of himself, offering interactive, on-demand conversations via text, audio, or video in 29 languages, thereby bridging the gap between the digital and physical worlds – another world's first.

Dr. Van Rijmenam is a prolific author and has written more than 1,200 articles and six books in his career. As a corporate educator, he is celebrated for his candid, independent, and balanced insights. He is also the founder of Futurwise, which focuses on elevating global knowledge on crucial topics like technology, healthcare, and climate change by providing high-quality, hyper-personalized, and easily digestible insights from trusted sources.

Below, you can read all his articles.

AI's Deceptive Dilemma: The Challenge of Eradicating Rogue Behavior

The development of trustworthy AI is hard and reprogramming AI systems that have been trained to act maliciously appears to be even harder.

AI's Stability Struggle: The Quest for Unshakable Algorithms

In a groundbreaking study that could redefine the path of AI development, researchers from the University of Copenhagen have mathematically proven that creating fully stable machine learning algorithms for complex problems is an unattainable goal.

Synthetic Selves and the Cost of Convenience

The use of AI avatars, particularly in the realm of education, comes with a range of ethical challenges. Imagine a world where your digital double, created by generative AI systems like HeyGen, can stand in for you, teaching classes or interacting with others on your behalf.

AI’s Reality Check: Navigating the Gap Between Hype and Pragmatism

The recent discussions at Davos 2024 marked a significant shift in the AI discourse, moving from wide-eyed wonder to a more grounded, risk-aware approach. This pivot reflects a growing awareness of AI's double-edged nature – its potential for tremendous benefit alongside serio...

AI at the Helm: The Dawn of Autonomous Companies

The dawn of autonomous unicorns is upon us. AI-powered companies, where algorithms could soon run businesses with minimal human intervention, are around the corner and could disrupt the startup landscape (and society).

Navigating Tomorrow: The Art of Futures Thinking

Embarking on a journey into the future isn't just a sci-fi enthusiast's dream anymore, but a strategic necessity in today's rapidly evolving world. To be ready for tomorrow, it is time to embrace Futures Thinking, a discipline that transcends traditional forecasting.

Chilling Wealth: Billionaires' Quest for Immortality and Their Frozen Fortunes

In a blend of Silicon Valley ambition and sci-fi fantasy, some of the wealthiest tech moguls, including Peter Thiel, are betting on a frozen path to immortality. The intriguing intersection of cryonics and wealth preservation brings together billionaires trying to cheat death ...

Graphite's New Groove: Potential Room-Temperature Superconductivity

In a twist that might make you look at your pencil differently, scientists have thrown graphite into the ring as a contender for room-temperature superconductivity.

AI at Work: Are Humans Still in the Driver's Seat?

The current AI-rich landscape might look like it will take all jobs, but human skills are still invaluable. Recent research shows that AI doesn't replace but rather reshapes jobs, acting more like a high-tech collaborator than a competitor.

Beyond Parroting: AI's Leap into Linguistic Understanding

Challenging the view of large language models (LLMs) as simple "stochastic parrots," new research spearheaded by Sanjeev Arora and Anirudh Goyal reveals a more complex picture. These AI behemoths, exemplified by ChatGPT and Bard, are evolving beyond mere mimicry to show signs ...