CEO & Founder, Top 100 Women of the Future | AI, Web3, Metaverse - Advisor & Deep Tech Investor | Keynote Speaker | Masterclass | Master Human-Centric Tech Transformation

20,000+ leaders trained. 20+ years in the boardroom. One focus: helping leaders make AI decisions they won't regret.

I bridge AI, healthcare, finance & ethics for leaders navigating technology's human impact.

Most innovation conversations focus on what technology can do. The harder work is understanding what it should do — and who bears the consequences when it doesn't.

My work sits at that intersection.

𝗪𝗵𝘆 𝗹𝗲𝗮𝗱𝗲𝗿𝘀 𝘁𝗿𝘂𝘀𝘁 𝗺𝗲
I've sat where you sit.
→ Board member: Generali Switzerland, Europe Assurance
→ Former boards: UniCredit, BlackRock
→ 20+ years as executive at UBS and AXA
→ Co-author: Fast Future Blurs (Wiley)

From UBS innovation to Generali strategy rooms, I've spent my career inside highly regulated systems where progress, trust, and responsibility must move together.

𝗥𝗲𝗰𝗲𝗻𝘁 𝘄𝗼𝗿𝗸
→ Davos Innovation Week— Moderated for 4 consecutive years (Fintech, Emerging Tech, AI)
→ Forbes Switzerland Award Jury member and Moderator 2025
→ FIBE Berlin 24/25  — Exclusive Behind the scene Influencer, Europe's leading fintech festival
→ Aeon Life collaboration — preventive healthcare, full-body MRI, AI- enabled early detection 
→ Co-Author Foresight Paper Future Beyond Our times (The World in 2125
→ Co-Author White papers EU AI Act 2024 (Germany), 2025 (Switzerland. 
→ Co-founder, Fast Future Executive Faculty — speed-biased learning for C-level leaders
→ Host, Edge of Tomorrow — conversations with technologists, ethicists, and humanists

𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻

Peace Ambassador nominee — United Nations Peace Foundation (2024–2025)
Senator for Switzerland — World Business Angels Investment Forum
Board Member of the World Smart Cities Economic Development Commission
Top 5 Women in Tech in Europe
Top 100 Women in Business in Switzerland — twice
World's Top 200 Business & Technology Innovators
LinkedIn Top Voice 24/25 | 143,000+ followers

𝗠𝘆 𝗳𝗼𝗰𝘂𝘀

Not hype. Clarity.

→ Ethical ROI in medtech and fintech
→ Human dignity in AI and scientific breakthroughs
→ Access and equity in healthcare innovation
→ Progress measured by impact, not just scale

𝗠𝘆 𝗯𝗲𝗹𝗶𝗲𝗳
Technology alone won't save us. We will — if we lead wisely.

𝗪𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗺𝗲

🎤 𝗞𝗲𝘆𝗻𝗼𝘁𝗲𝘀 — I speak globally at conferences and universities. DM "KEYNOTE" for speaking enquiries. 

🏛️ 𝗕𝗼𝗮𝗿𝗱 𝗿𝗼𝗹𝗲𝘀 — Open to selective non-executive positions where responsible technology and strong governance are central.

Dr. Martha Boeckenfeld

Glasses for blind babies. "Science doesn't wait for miracles. It creates them."

These babies usually have severe low vision — high refractive error, astigmatism, sometimes albinism. Without correction, everything is fog. 

Faces are shapes. Eyes are blurs.

Then tiny glasses go on.

And suddenly, he sees her mother's face.

Think about that.

The first years of life are when the visual cortex learns to interpret what the eyes send. If the image stays blurry, the brain stops trying. It down-regulates. Vision that could have developed becomes permanently impaired.

Doctors call it amblyopia. Parents call it heartbreak.

Pediatric ophthalmologists don't wait for babies to read eye charts. They use retinoscopy — shining light into the eye and watching how it reflects. No verbal feedback needed. Just physics and training.

The prescription gets calculated. Tiny frames get fitted. And a brain that was about to give up starts learning to see.

Studies show early spectacle intervention improves visual attention and long-term function compared to waiting. Parents report babies tracking faces, reaching for toys, crawling with confidence.

The technology is plastic lenses in a flexible frame.

The innovation is timing.

What looks like a miracle is actually months of screening, measurement, and precise fitting — compressed into one emotional second when the glasses go on.

That's creates more than a second when a whole new life get's created and you can see. 

The Multiplication Effect:

1 baby = a brain that learns to see
10 clinics with trained staff = early detection at scale
100 countries with screening programs = millions of children who never know what they almost lost

We know how to do this.

We just need to make sure that every child who needs early correction actually gets it.

The smile of these babies is just priceless! 

♻️ Repost to other to learn about this option. 

Video: Sassy Media
Source: BMJ Open (2022), PMC studies on infant visual development, pediatric ophthalmology guidelines.

Human-Centric AI & Future Tech | Keynote Speaker & Board Advisor | Healthcare + Fintech | Generali · Ex-UBS · AXA

The internet is educating your kids.

New Zealand decided parents should too.

They released a national ad about what children are being exposed to online.

It’s uncomfortable.

It’s honest.

And it’s surprisingly funny.

That’s why it worked.

Because the real danger isn’t access.

It’s silence.

We are raising a generation fluent in technology…

But not always fluent in judgment.

Kids don’t “go online” anymore.

Digital and physical are fused.

Which means if we don’t explain what they’re seeing.

An algorithm will.

A stranger will.

Or a system designed to capture attention before understanding catches up.

We often think protection means control.

But control without conversation creates secrecy.

And secrecy is where risk compounds.

I’m not a parent.

But I’m an aunt to nine nieces and nephews.

And watching them grow up in this world has made one thing clear:
↳ Start earlier than feels comfortable
 ↳ Ask more than you lecture
 ↳ Use humor before fear
 ↳ Model the behavior you expect

Because kids don’t copy advice.

They copy patterns.

Technology will keep evolving.

AI-enabled manipulation. Deepfakes. Algorithmic influence.

The tools are accelerating.

So we have to get more intentional.

That’s why I respect that Elcin Biren is tackling this directly.


She’s hosting a session with SwissCyberSmart and INTERPOL on building real cyber resilience at home.

Not panic.

Not screen-time policing.

But practical, proactive conversations.

If you’re raising — or influencing — the next generation, this is worth understanding.

📅 March 10 | 13:00 CET
 🔗 Registration link in comments

Safety starts with connection.

Not control.

Millions of people with chronic back pain are stuck in the same cycle.

Physical therapy stops working. Injections wear off. Opioids become a daily habit. And the only surgical option left is fusion — locking two vertebrae together, losing motion forever.

For years, there was nothing in between.

Dr. Tony Lowman spent twenty years trying to change that.

He's a biomedical engineer who kept asking one question: What if we could repair the disc instead of removing it?

Think about that.

The disc isn't broken. It's deflated. The soft, shock-absorbing center has dried out and cracked. So his team built something to restore it.

HYDRAFIL is an injectable hydrogel. It goes in through a needle, fills the fissures, recruits water, and solidifies inside the disc.

No incision. No hospital stay. Patients walk out the same day.

In preclinical studies:
↳ 10% improvement in disc height within two weeks
↳ Inflammatory markers dropped to near-healthy levels
↳ Material held up under repeated spinal loading

It's now in U.S. clinical trials.

The shift this represents:

Traditional approach: Manage pain until fusion is unavoidable.
This approach: Rebuild the disc before it collapses completely.

Fusion works. But it trades motion for stability. Every fused segment puts more stress on the ones above and below.

Hydrogel repair preserves what's there.

The Multiplication Effect:

1 patient who avoids fusion = years of mobility preserved
10 clinics offering outpatient disc repair = fewer people cycling through opioids
100 trials proving long-term durability = a new standard of care
At scale = back pain treated as a structural problem, not just a pain management problem

This is still early. Human data is limited. Long-term outcomes are unknown.

But the principle matters now.

Back pain would stop being treated only as a pain problem.

And start being treated as a structural one.
It is still early.

Human data is still limited and long-term outcomes remain unknown.

But the idea points to something bigger.

For decades, medicine has focused on replacing damaged parts.

What if the next wave focuses on repairing them instead?

Do you think medicine will shift from replacement to regeneration in the next decade?

Source: Data adapted from Zheng et al., Biomaterials Advances 2022 and Dittmann et al., Pain Physician 2024, plus the ongoing HYDRAFIL‑D pivotal trial (NCT06011551).

We spent a century building trillion-dollar systems to move water.

Omar Yaghi built a box that makes it.

Yaghi won the 2025 Nobel Prize for Metal-Organic Frameworks (MOFs): synthetic crystals that act like tiny sponges. AI helped to figure out the shape. A few grams can have the inner surface area of a football stadium.

Think about that.

More than 2 billion people still don’t have safe drinking water.

His company Atoco wrapped MOFs into a water-from-air machine:
Air flows in.

MOFs grab water molecules.
Sun heats the material.
Water vapor comes off, then condenses into drinkable water.

No grid power. No pipes. No desalination. It works at ~20% humidity.

Why it matters:
 ↳ Fully off-grid, powered by solar heat 
↳ Container-sized 
↳ Deployable to disaster zones, desert villages, islands 

Yaghi tested the prototype in the Mojave Desert. It worked.


Scale looks like this:
1 unit: ~1,000 liters/day for a village
10 units: a hospital through a drought
100 units: steady water for a whole region
Places that never had pipes may not need them.

For decades we chased bigger, centralized systems. This heads the other way: small units you can add, move, and run anywhere.

♻️Share this with someone building in the real world.

Follow me for ideas on living through the AI era—and why human leadership still decides what happens next.

Sources: Economic Times (23 Feb): "Nobel Prize winner built a machine that extracts 1,000 liters of water from air" – Scalability, global relevance.
Atoco Website: atoco.com – Company site detailing MOF tech, 1,000L/day off-grid units, and mission.
AgTech Navigator (20 Jan): "Atoco targets commercial rollout" – Death Valley tests, 1,000-4,000L variants.
Image: @engineeringfacts

Two high schoolers just cut car emissions by 74%.

For $30.

Jack Reichert and Rohan Kapoor are seniors at Unionville High School in Pennsylvania. They built the Go Green Filter — a 3D-printed attachment that clips onto any tailpipe.

Inside: a small chamber filled with microalgae suspended in water.

As exhaust passes through, the algae do what they've done for billions of years. Absorb CO₂. Release oxygen. Photosynthesis, running on fumes.

Think about that.

The stats:
↳ 74% reduction in carbon dioxide emissions in controlled tests
↳ Prototype cost: $30–50 per unit
↳ 500 filters already deployed in Indonesia
↳ Works on cars, motorcycles, any combustion vehicle

No engine swap. No electric conversion. No infrastructure overhaul.

Just algae doing what algae do.

What stopped me:

The filter won the 2023 T-Mobile Changemaker Challenge. Their school district measured 74.25% CO₂ reduction. They've already deployed 500 units in Indonesia.

Not a prototype sitting in a lab. Real filters. On real roads. Right now.

Two teenagers. A 3D printer. A biology textbook.

The Multiplication Effect:

1 filter = 74% less CO₂ from one vehicle
1,000 filters = a fleet breathing cleaner
1 million filters = measurable dent in urban air quality
At scale = a bridge while the world waits for electric

For decades, cutting emissions meant expensive retrofits or waiting for the full transition.

These two didn't wait.

Have you seen student-led innovations making real-world impact? Drop a comment below.

Follow me, Dr. Martha Boeckenfeld for more innovators solving problems the world said were too big. 

♻️ Share with someone who believes the next generation isn't waiting for permission.

Source: Go Green Filter, T-Mobile Changemaker Challenge 2023.

Age is just a number. He proved it at 47.

Dr. Carl Allamby spent 25 years as a master mechanic in Cleveland. Built an automotive business from the ground up. Diagnosed problems by sound, by feel, by instinct.

Then a required biology course changed everything.

He needed it to finish a business degree. His professor noticed something: this mechanic thought like a scientist.

Think about that.

The same pattern recognition that diagnosed a failing transmission could diagnose a failing heart. The same systematic troubleshooting. The same pressure to get it right the first time.

His wife said yes. His family backed him. He sold the business and enrolled in medical school.

At 51, he became a doctor.

Today, at 53, he works as an emergency medicine physician at Cleveland Clinic.

What stopped me cold:

He didn't start over. He carried forward.

The garage taught him to read subtle symptoms in complex systems. To make critical decisions under time pressure. To trust his hands when the diagnosis wasn't obvious.

The ER demands the same skills.

The Multiplication Effect:

1 mechanic who becomes a doctor = proof that expertise transfers
10 career changers who see his story = permission to try
100 people who stop waiting for "the right time" = lives redirected
At scale = we stop treating experience as something to leave behind

We've been taught that changing careers means starting from zero.

Allamby's story says something different: You can live your dream with training.

The skills you built solving one kind of problem can solve another. The question isn't whether you're too old. It's whether you're willing.

What path would you take if you stopped waiting for the "right time"?

Follow me, Dr. Martha Boeckenfeld for stories of people who rewrote their path.

♻️ Share with someone who needs to hear that it's not too late.

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Plants have been making fuel from sunlight for 500 million years.

China just figured out how to copy them.

A team at the Chinese Academy of Sciences built a system that takes CO₂ and water, hits it with sunlight, and produces the building blocks of synthetic gasoline.

No oil wells. No drilling. No fossil carbon.

Think about that.

The secret was a "charge reservoir" — a material made from tungsten trioxide and tiny amounts of silver that traps solar energy like a battery and releases it precisely when needed.

Previous systems failed because electrical charges disappeared instantly. This one stores them.

The result: carbon monoxide — the industrial starting point for synthetic gasoline and jet fuel — at roughly 100 times the efficiency of previous catalysts.

Water is the only ingredient consumed. Zero sacrificial chemicals.

What stopped me:

It works with existing engines. Existing pipelines. Existing infrastructure.

No reinvention needed.

The Multiplication Effect:

1 system proving the concept = validation that photosynthesis can be copied
10 systems producing fuel = regional energy without drilling
100 systems deployed = countries producing synthetic fuel from sunlight
At scale = energy independence from fossil carbon

For a century, we've drilled into the Earth for energy.

This system pulls it directly from the sky.

We've spent decades asking how to extract more efficiently.

Maybe the better question was always: how do we copy what already works?

♻️ Follow me, Dr. Martha Boeckenfeld for innovations that reshape how we power the future.

Share if you believe the next energy revolution will come from biology, not geology.

📚 Source: Chinese Academy of Sciences | Yu Huang et al. | Nature Communications, March 2026 | ECOticias — Adrian Villellas

Human-Centric AI & Future Tech | Keynote Speaker & Board Advisor | Healthcare + Fintech | Generali Ch Board Member · Ex-UBS · AXA

She ran out of options at 12. Then her own cells came back to save her.

A girl in Ho Chi Minh City with high-risk B-cell acute lymphoblastic leukemia. Chemotherapy failed. Then her father gave half his bone marrow. That failed too.

Her doctors faced a choice: accept the prognosis or try something Vietnam had never done.

They chose to try.

Her T cells were collected in Vietnam. Shipped to Taiwan. Genetically modified to recognize and attack leukemia cells. Sent back. Reinfused.

Think about that.

Her own immune cells, engineered to find the cancer that had beaten everything else, then returned to finish the fight.

CAR-T therapy turns the body into its own treatment. The cells learn to identify markers on leukemia cells — like CD19 — and destroy them. Researchers call it a "living drug" because it keeps working after infusion.

More than a year later, she's cancer-free. Back to daily life. No detectable disease.

Vietnam's first successful pediatric CAR-T case.

But here's what stopped me:

The treatment costs tens of billions of Vietnamese dong when done abroad. That's tens to hundreds of thousands of US dollars per patient.

Ho Chi Minh City's Blood Transfusion and Hematology Hospital is now preparing to produce CAR-T cells domestically. The goal: cut costs by up to 20-fold.

The Multiplication Effect:

1 patient = proof that "no options left" isn't always true
10 hospitals with CAR-T capability = transplant candidates instead of death sentences
100 families = access without bankruptcy
At scale = the line between "too expensive to try" and "standard of care" moves

The technology is genetic engineering.

The innovation is making it reachable.

One girl's immune cells crossed borders, got reprogrammed, and came home to save her life. Now the question is whether the next child will have to wait for that same chance — or whether it will already be there.

Follow me, Dr. Martha Boeckenfeld for breakthroughs that prove "no options left" isn't the end of the story.

I'm curious — is CAR-T therapy available where you are? What's standing between patients and treatments like this in your country?

Source: VietnamPlus, Vietnam.vn, Blood Transfusion and Hematology Hospital HCMC (2025).

Everyone is teaching kids how to use AI.

But one mother realised something, which no one is teaching you. 

The real upgrade wasn’t the tool.

It was her son’s brain.

Her 10-year-old had already started using AI for homework.

Every evening looked the same.

He experimented with prompts.

She answered emails.

Both went to bed wired.

Neither felt wiser.

So they tried something small.

Before opening any screens, they spent 90 seconds doing cross-crawls and rhythm claps together.

Left elbow to right knee.
Right elbow to left knee.

Simple movements that force both sides of the brain to work together.

Two weeks later something changed.

He settled into homework faster.

Fewer careless mistakes.

And instead of copy-pasting answers from AI, he started asking better questions.

That shift matters.

Because AI can generate answers instantly.

But it cannot decide what matters.

It cannot connect ideas across contexts.

And it cannot replace a brain trained to think.

Neuroscience calls this neuroplasticity.
Your brain constantly rewires based on what you repeat.
Attention. Memory. Cognitive flexibility.

These are not fixed traits.
They are trainable systems.

Cross-body movement strengthens the networks responsible for focus, filtering distractions, and organising information.

Exactly the skills you need when working with AI.

Human brains and AI systems actually learn in a similar way.

Both strengthen what works.
Both prune what doesn’t.

The difference is this:

Humans can choose what to train.

So the real question isn’t whether children will grow up with AI.

They will.

The real question is whether we train their brains to think while using it.

Because the future won’t belong to the people with the best tools.

It will belong to the people with the best trained minds.

What we repeat, we wire.

In code.

And in cortex.

♻️Share for others to learn, how your kid will learn better when using AI. 

Video: @mr.highlevel_

A full-time cardiologist just beat 13,000 AI builders.

He built his platform between shifts.

Hospital break room. Airport lounge. 30,000 feet over the Atlantic.

7 days. 3rd place. While working full-time saving hearts.

The code was the easy part. The insight took a decade.

Michał Nedoszytko didn't brainstorm a startup idea. He solved something he's watched for over ten years: patients leaving appointments confused.

So he built postvisit.ai.

A reverse AI scribe. Not for documentation. For understanding.

The moment you leave the doctor's office, the platform activates:
↳ Surfaces your medical record back to you
↳ Translates diagnoses into plain language
↳ Turns complex instructions into clear next steps
↳ Connects wearables and evidence-based resources in one place

The shift that made this possible:

Powered by the massive context window of Opus 4.6, it allows patients to explore their full medical history, connected devices, Evidence Based resources and external data sources — all in one place.

What inspires me: 

One domain expert can now ship what used to require a department.

That's the real change.

Building is easier than ever. Deep insight isn't.

The advantage now belongs to people closest to real problems.

Doctors.
Operators.
Engineers inside complex systems.
People who've seen the same friction repeat for years.

The Multiplication Effect:

1 expert building = proof that insight beats code
10 operators shipping = industries transformed from within
100 who lived the problem = solutions that actually last

If you're building something, start here:

What problem do you understand better than almost anyone else?

That's your edge. 

♻️ Repost if you believe domain expertise is a founder's unfair advantage.

Follow me, Dr. Martha Boeckenfeld for stories of builders turning experience into impact.

He couldn't walk. Then his knee started thinking.

Now he steps out of cars without help.

Kai lives with a neurological condition that left him unable to walk independently. Every attempt demanded high energy, led to rapid fatigue, and forced compensations that strain joints over time.

Traditional leg braces lock you in place. Powered exoskeletons cost $40,000-$100,000 and weigh 14kg or more.

Agilik weighs 550 grams.

Think about that.

A powered knee actuator lighter than a water bottle. Mounted on a custom brace. Reading every step in real time.

What makes it work:
↳ Sensors measure knee angle, velocity, initial contact, toe-off
↳ Software adjusts assistance or resistance each gait phase
↳ Tuned specifically for each patient
↳ Provides power when needed, resistance when muscles need to work

Help when you're struggling. Challenge when you're ready.

Getting out of the car, Kai can now bring his trunk forward, push up, and feel the powered knee help him reach upright — instead of collapsing into a crouch.

Walking into a shop, sensors track his knee angle step by step, adjusting support so he spends less energy on every meter.

Over weeks and months, clinicians gradually reduce the assistance as his strength improves. The goal: prevent dependency while preserving the gains.

Kai is an adult. But this same principle matters even more for children.

For kids with CP and spina bifida, strength and endurance often deteriorate as they grow. The more they avoid walking, the weaker they get. The weaker they get, the less they walk.

Agilik breaks that cycle.

The Multiplication Effect:

1 child = steps that seemed impossible
10 families = errands together again
100 clinics = gait training that travels home
At scale = mobility that builds strength instead of replacing it

The technology is sensors and motors.

The innovation is a knee that learns your walk — and teaches you to walk better.

What would it mean for someone you know to step out of a car on their own again?

♻️ Share if you believe mobility should build independence, not dependence.

Source Video: x.carstens@insta

500 million neurons. Each arm thinks independently. They solve puzzles, escape aquariums, and form bonds with humans.

Meet the octopus. The closest thing to an intelligent alien on Earth.

Think about that.

Two-thirds of their neurons aren't in their brain. They're in their arms. Each arm can taste, touch, and make decisions without waiting for permission from headquarters.

They unscrew jars from the inside. Carry coconut shells across the seafloor to build shelters later. Recognize individual humans and squirt water at the ones they don't like.

Scientists call it "unlimited associative learning." The same cognitive milestone that marks consciousness in vertebrates. Evolved completely independently, 600 million years apart from us.

The crisis:
↳ Global octopus catches doubled from 1980-2014
↳ Many fisheries now overfished with no recovery
↳ Proposed octopus farms cause stress and cannibalism
↳ Plastics trap them—they mistake cups for shelters
↳ Warming oceans cut juvenile survival by 30%

We're losing ocean geniuses before we understand them.

The protection wins happening now:
↳ Washington and California pushing farm bans
↳ Bottom trawling banned in protected areas
↳ Octopuses recognized as sentient in EU law
↳ Research programs studying wild populations

The Multiplication Effect:

1 octopus protected = a mind preserved
10 marine reserves = ecosystems stabilized
100 countries banning octopus farming = sentient beings no longer factory-farmed
At scale = we stop treating intelligence as something only humans possess

The technology to protect them exists. The science proving their consciousness exists. The only thing missing is the decision to act.

Every creature that thinks, feels, and solves problems deserves protection. Not because they're like us. Because they're brilliant in ways we're only beginning to understand.

Follow me, Dr. Martha Boeckenfeld for innovations that protect the brilliant minds we're only beginning to understand.

♻️ Share if you believe intelligence deserves protection—regardless of the body it inhabits.

Thanks to Tim Gray who collaborated with me to show the beauty of the oceans and marine life we need to protect (by Breakout Clips).

#OceanConservation #MarineLife #Innovation

Director at Lightbox Studio - Director at Breakout Clips

Breakout Clips

AI fluency demand grew 7x in two years.

Creative thinking is still the #2 skill employers want.

Watch Leng Jun paint a portrait so detailed, people mistake it for a photograph.

Every brushstroke guided by decades of practice. Vision, intuition, and muscle memory working together in ways no algorithm can replicate.

Think about that.

The World Economic Forum's 2025 Future of Jobs report puts analytical thinking first. But creativity dominates the rest — curiosity, design thinking, empathy, flexibility.

McKinsey confirms it: 70% of the skills employers seek are still deeply human.

But most of us were trained to optimise, not originate.

Follow templates. Find the right answer. Stay inside the lines.

AI already does that better than we ever will.

What it can't do is turn a blank canvas into something that stops you mid-scroll. Transform years of practice into a single decisive stroke.

That's divergent thinking — creating from experience, not data.

I was live yesterday with Tom Donaldson, Senior Vice President and Head of Creative Play Lab at the Lego Group on The Edge of Tomorrow.

Tom's angle: How leadership needs to steer creativity without killing it.

We' talked about:

• How to build platforms for ideas to emerge instead of chasing random ideas
• How to design failure into the process so experimentation is safe
• How to scale imagination without turning it into bureaucracy

Companies like LEGO don't stay relevant by accident.

There's structure behind the creativity. The success is driven by culture and people. What drives the major breakthroughs is not the technology, but the experience that it changes. 

"Creating the magic" needs "childlike" leadership. (Tom Donaldson) 

If you're building a team right now, this is the real conversation.

Engage in the conversation and let me know, if you agree that curiosity is your "superpower" in the age of Intelligence. 

View here: https://lnkd.in/e6KeSXNA

Video: Leng Jun @insta

The AI said low risk. 92% accuracy.

She almost signed off.

A senior ICU doctor reviewing a sepsis case. The system flagged the patient for deprioritization — free up the bed, move on.

She paused.

One question stopped her: "Am I over-trusting this because it matches my fatigue-driven optimism?"

She checked the AI's confidence breakdown. Found it had underweighted recent lactate trends due to a data quirk. Ran manual diagnostics. Caught early organ distress the algorithm missed.

That pause saved a life.

Think about that.

92% historical accuracy. And it still almost got it wrong.

I saw the same pattern in a boardroom.

A fintech CEO planning a Middle East market entry. The AI's risk assessment looked solid. Green lights across the board.

Something felt off. But he couldn't see it while he was inside the decision.

He took an afternoon off with his family. Came back with distance. Spotted the flaw the model had missed — overestimated risk tolerance for that market.

Two different worlds. Same skill made the difference.

It's called metacognition.

The ability to notice what your mind is doing — and adjust in real time.

Catching yourself procrastinating because something feels overwhelming.

Pausing before sending a reactive message.

Realizing you've been stuck using the wrong approach.

Brain research shows this skill strengthens both analytical and creative thinking. It's why some people stay steady under pressure while others spiral.

And the key point: it's trainable.

Same intelligence. Very different outcomes.

The difference is noticing the spiral and redirecting early.

AI gives confidence.

Metacognition gives clarity.

The Multiplication Effect:

1 doctor who pauses = 1 patient saved
1 CEO who steps back = a market misstep avoided
10 leaders trained in reflection = better human-AI decisions across industries
At scale = AI becomes a tool, not a crutch

The doctor paused. The CEO stepped away.

Both caught what the algorithm missed.

♻️ Follow me and share if you want other to learn, how make better decisions with AI. 

Reel: @goodneuroscience
Sources: Individuals with High Metacognitive Ability Are Better at Divergent and Convergent Thinking DOl:10.3390/jintelligence11080162
Purucker, L., Hammer, M., & Boehm, F. (2024). Metacognitive AI: Framework and the case for a neurosymbolic approach. arXiv. arXiv:2406.12147

The AI said low risk. 92% accuracy.

The future of mobility has four legs.

Toyota just unveiled Walk Me. A robotic chair that walks instead of rolls.

Each leg bends, lifts, and adjusts on its own. Inspired by how goats balance on slopes and crabs move across rocks.

Around 80 million people worldwide use a wheelchair.

Most of those wheelchairs need flat floors. Ramps. Lifts.

But most of the world isn't flat.

Stairs in old buildings. Gravel paths. Thresholds between rooms.

Walk Me handles all of it.

What makes it work:

LiDAR scans for obstacles.
Sensors check balance before each step.
AI adjusts movement in milliseconds.
Legs fold flat to fit in a car trunk.

But here's what stopped me:

The chair rises on "tiptoes" and tilts forward so the user can step into a car. No transfer board. No caregiver lifting.

A grandmother visiting her daughter's second-floor apartment.

A father getting into his own car for the first time in years.

That's not a feature. That's dignity.

The Multiplication Effect:

1 chair = stairs become passable
10 homes = caregivers rest
100 cities = accessibility without rebuilding
At scale = mobility that meets the world as it is

This is biomimicry at its best. Taking lessons from nature to create mobility that adapts to the world as it is.

We spent decades redesigning buildings for wheelchairs. What if we redesigned the wheelchair for buildings?

Who in your life would this change everything for? 

Video: Toyota Presented at the Japan Mobility Show 2025.

Surgical robots cost $2 million.

Beijing just built one for $200,000.

Watch it peel a quail egg: Shell removed. Inner membrane intact. Submillimeter accuracy that matches da Vinci at 90% less cost.

I posted about this four months ago. 

But that was only half the story.

At Davos, I talked with Ravin Jesuthasan, CFA, FRSA — global futurist, bestselling author on AI and the future of work.

I asked what most people miss about robotics.

His answer reframed how I see it.

"It's not about the robot. It's about redesigning the work."

Think about that.

We celebrate the $200,000 price tag. The precision. 

But a cheaper robot sitting in the same broken system changes nothing.

Ravin explained it simply: What is the work that needs to happen to produce value for the patient? That requires redesigning how humans and machines combine.

The surgeon doesn't disappear. The role transforms.

↳ Robot handles precision cuts
↳ Human handles judgment calls
↳ AI monitors vitals in real-time
↳ Nurse coordinates the handoffs

Every task reassigned to whoever — or whatever — does it best.

Companies racing to buy robots are asking the wrong question.

The right question: How do we redesign work so the robot actually multiplies what humans can do?

The Multiplication Effect:

1 hospital that redesigns workflows = 10x more surgeries with the same staff
10 hospitals sharing protocols = regional healthcare transformed
100 systems rethinking human-machine teaming = surgical access at scale

The robot was never the breakthrough.

The breakthrough is figuring out who does what — and building the system around that answer.

Ravin put it best: "Companies and individuals who figure that out in their unique circumstances will get to the optimal levels of machine-human teaming."

The $200,000 robot is available now.

The harder work is redesigning everything around it.

Where have you seen a new tool fail because the work around it stayed the same?

♻️ Share if you believe the future of work isn't about replacing humans — it's about redesigning how we work together.

Global thought leader, futurist and bestselling author on the future of work, AI and human capital. Executive Fellow and Adjunct Lecturer of Executive Education at the Kellogg Business School

A community health worker in East Africa just changed how I think about AI governance.

She doesn't have a medical degree. She has a smartphone and an open-source AI called Meditron, built at EPFL in Lausanne.

During a household visit, she photographs a medication package. The AI translates the instructions into the local language. Right there. At the point of need.

Professor Annie Hartley, who works on the project, put it simply: the alternative for many patients isn't a doctor. It's nothing.

That same Meditron will be tested in CHUV Lausanne's emergency room starting May 2026. Over 300 Swiss health professionals already evaluated it — with equal parts enthusiasm and scepticism.

Think about that.

The same AI helping a community health worker in a rural household must meet the same standards as a Swiss university hospital.

That's not a compliance exercise. That's a design choice.

Antoine Bosselut, who led Meditron's development at EPFL, said it clearly: "Access to medical knowledge should be a universal right."

That principe shaped my thinking when I co-authored a country profile on Switzerland and the EU AI Act with AI & Partners.

My argument: true progress isn't just regulatory alignment. It's embedding human-centric principles at the core of governance.

The health worker doesn't care about frameworks. She cares whether the AI helps her patient understand their medication.

That's the standard.

Follow me, Dr. Martha Boeckenfeld for Insights on thriving when AI rises, but Leaders stay Human.

♻️ Share if you think the best AI governance starts with the patient, not the paperwork.

Governance for People, Not Paperwork

Frank Feather

President

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