"Cashless: China's Digital Currency Revolution" and "Innovation Lab Excellence"

Cashless is the first and only book that dives deep into the design and use of China’s new central bank digital currency. This represents a roadmap for our shared digital currency future and a long-term threat to US dollar dominance. 

China is changing the very nature of money and borrowing heavily from cryptocurrency to cement its role as the world’s financial technology leader.

Cashless is written by the best-selling author of Innovation Lab Excellence, an award-winning expert in fintech innovation, career banker, and technology expert who has experienced China’s cashless revolution firsthand as a former US resident living in China. It reveals how:

●	China’s digital currency can help you better predict and navigate the cashless future coming to the US and the world
●	Your company may be tempted to use China’s digital currency to make cross-border payments
●	The EU, UK, Japan and India are developing digital currencies
●	Digital payment will change our relationship with money and promote financial inclusion

Cashless shows you the future. It offers a comprehensive analysis of China’s digital payment systems so that you can better prepare for the rise of digital currencies. 

It is a must-read for all business leaders and professionals looking for a decided competitive advantage.

Innovation Lab Excellence is a must read if you manage an innovation lab, work in one, or are a business manager engaged with one.  Available globally on Amazon, Innovation Lab Excellence is getting 5 star reviews from readers.

Best Selling Author

FinTech, AI and Innovation Consultant

Consultant to start-ups and established players in insurance and asset management.  I help them navigate the uncharted waters associated with the latest cognitive, AI, blockchain and analytic technologies.  Great at cutting through the hype to establish valid use cases with calculable ROI and long term business impact.  As an long-term China and Asia expert am also happy to help you explore how to bring your business to the East.  

Always looking for new clients and opportunities where I can make a difference.  If you have any recommendations, feel free to drop me a message on LinkedIn or email me at: richard_turrin@yahoo.com

Fintech, AI and Innovation Consultant

IBM’s Cognitive Studios Singapore is the regional hub that hosts more than 150 designers and digital experts   that provides next-generation services dedicated to digital reinvention and transformational outcomes. 
 
My role is to bring paradigm-shifting FinTech to the banking industry in Asia.  From Blockchain to AI Robo-Advisors, I applied the latest IBM technologies to real world problems faced by our banking clients. I also use the same vision to provide strategic direction to our sales teams throughout APAC so that they can better understand their banking client’s needs. I am a tireless evangelist for using technology to democratize access to financial markets. 
 
I served as the banking industry head at IBM Studios to reimagine banking, create a FinTech ecosystem, managed a team of 8 data scientists, and sell analytic financial solutions bringing in $50million in related sales.

APAC, Fintech Executive, IBM Watson, Design, Cognitive Studios

IBM risk analytics solutions enable the world’s most successful companies to make risk-aware decisions through smarter enterprise risk management programs and methodologies—driving business performance and better outcomes.
 
I was a Senior Executive responsible for IBM’s risk management and FinTech business and specifically staffing, strategies, product development, legal and marketing. I revolutionized the risk business by originating and structuring a partnership with Shanghai Wind Information to use IBM risk FinTech on Wind Info trading terminals throughout China. 
 
I was also the winner of the “Risk Technology Product of the Year” in the 2015 Risk Awards based on the unique hybrid cloud based system deployed at Wind that fully complies with China’s stringent data security laws. I also organized and spoke (in Mandarin) at multiple conferences including IBM’s first ever risk conference at Shanghai Advanced Institute of Finance.

Risk Solutions Executive

Hult International Business School

Hult International Business School is a global business school with campus locations in San Francisco, Boston, London, Dubai, Shanghai, Hertfordshire, and New York City.
 
I served as a professor bringing math and business analytics to life by using real world examples.  At Hult, I taught MBA Mathematics and Applied Finance to 115 students and delivered a special lecture series in applied finance.   I really enjoyed mentoring students and matching them up for jobs.

Professor / Lecturer

Changshu Lu Advisors

•	Advisor on outbound private equity transactions and capital markets consultant.    
•	Sit on the advisory board of a China based Series-B smarter cities thought leader

Private Equity Advisor, Financial Consultant

Derivative Fitch, Fitch Ratings,  New York

•	Performed “damage control” with 50 major issuers during the worst of the global financial crisis in a newly formed team.  
•	Sold synthetic CDO pricing software, participated in beta testing and worked with the coding team.

Structured Credit Sales

Commonwealth Bank of Australia

•	Founded team of 5 and originated $16 million in new credit risk management transactions.  
•	Developed new credit intermediation products for banks and insurers to monetize CBA’s AA rating.  
•	Evaluated new deals, managed legal team, and assisted in the quantification of the bank’s risk 
        exposures.

Structured Credit Sales and Origination

IntesaBci

•	Founded a team of 5 to bring new risk management products and technology to the bank.  
•	Designed and built a Bermuda based reinsurer that generated $5 million in annual reduced capital 
        charges.  
•	Introduced weather derivative and tax efficiency trades to modernize the bank and bolster trading 
        revenue. 
•	Responsible for development and testing of proprietary trading computer codes.

New Products Marketing and Advisory

Paribas Capital Markets

•	Started new team of 7 while generating profitability of $2.5 million annually on new transactions.  
•	Formed a joint venture company with strategic partner AXA, to bring insurance linked securities to 
        market.  
•	Originated a $3 mil. risk management consulting IT project with PEMEX and supervised coding teams.  
•	Responsible for the negotiation and sale of $80 mil. in insurance linked securities.

Risk Advisory and Structured Product Marketing

American International Group

•	Lead new international team of 12 professionals generating $10 mil in sales and the first ever sold in Japan.
•	Represented AIG in special testimony at the House of Lords.

Director International Environmental Liability Risk Management

Best selling author of "Cashless" and "Innovation Lab Excellence" | Consultant | Speaker | Top media source on China's digital yuan and mobile payments | China AI and tech regs | FOLLOW ONLY NO CONNECTIONS LEFT

As a best-selling author and consultant, I combine my passion for fintech, AI, and innovation with my extensive experience in the banking industry and the Asian market. I wrote two No. 1 international bestsellers, "Cashless: China's Digital Currency Revolution" and "Innovation Lab Excellence," that provide insights, strategies, and practical solutions for the digital transformation of the financial sector. I have also been a top media source and speaker on China's digital yuan and mobile payments, sharing my firsthand knowledge and analysis of the world's most advanced cashless society.

With over 25 years of experience in risk management, structured credit, and debt financing, I deeply understand fintech and AI's challenges and opportunities for the banking industry. I have worked with start-ups and established insurance and asset management players, helping them navigate the uncharted waters of the latest cognitive, AI, blockchain, and analytic technologies. I have also led and contributed to multiple innovation labs and projects across Asia, applying the latest IBM technologies to real-world problems our banking clients face. I am a tireless evangelist for using technology to democratize access to financial markets and to enhance customer experience and value.

Richard Turrin

Weekend Read: Global Digital Assets Report: The Breakout Year for Stablecoins and Tokenization

This GFTN Report is a great read and is filled with charts that show how this is a breakout year for digital assets, particularly stablecoins and tokenization. 

This report is beautifully laid out and is all about maximum return for readers with the minimum of effort, a perfect weekend companion!

Everyone's weekend reading list should include Chapters 1 and 2, covering stablecoin and tokenization.   

I can't recommend them enough!  

This report is all about the easy-to-follow charts and summaries that will give you a global overview of just how fast these markets are changing. 

I'm making this post extra short today, but I want to leave you with a fun chart on page 147, chart 6.1.  

It shows how, despite crypto's claims that it is ready to go mainstream, a stunning 70% of virtual asset service providers are only partially or non-compliant with FATF recommendations! 

Really?  Is that the best we can expect?  How will this impact stablecoins?

Enjoy this report, it is a fabulous "weekend read" and worthy of your time! 

♻️Repost to share this SUPERB resource on digital assets with others.   They will thank you! 

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🔺Onalytica No.4 Global Fintech Influencer with two best-sellers.

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The Breakout Year for Stablecoins and Tokenization

Helping you make sense of going Cashless | Best-selling author of "Cashless" and "Innovation Lab Excellence" | Consultant | Speaker | Top media source on China's CBDC, the digital yuan | China AI and tech

✦Weekend Read✦ World Bank: Developing Nations to Rely on Open Source AI, Handing China the Win.

The World Bank shows that AI is gaining momentum in developing countries and driving growth opportunities. 

This is great news and tracks with surveys showing high levels of enthusiasm for AI throughout the developing world. 

The problem for Silicon Valley is that the developing world isn't planning on paying for ChatGPT, Anthropic, or Google LLM subscriptions. 

Instead, they are looking to open source, which plays directly into China's hands as the world leader in open source AI.

Just this week, a Hugging Face-MIT report claimed a "rebalancing of power," in AI markets. 

Chinese open source models reached 17.1% of global downloads, higher than the US's 15.7% share. 

China not only has more open source models available, but their quality is second to none. 

Another attraction is that China's models require far less computing power.

Chat GPT and others in Silicon Valley, who were assuming that their closed models would capture global revenue streams, should be worried. 

The market is slipping away from them quickly, and with it, Washington's goal of US AI dominance. 

Open-source technologies are helping democratize AI participation—and that's fundamentally good for the developing world. 

Whose open-source AI is used is up to the market, but the balance is tipping in China's favor. 

👉How to read this report: my recommendation is to go straight to the section on AI models, Chapter 4, page 57. 

👉The World Bank on Open Source AI:

🔹 Open-source Al is proliferating and allows developing countries to adapt global solutions to their local needs.

🔹 Developing countries could face challenges in adopting Al because models are misaligned with local needs. Open-source Al models can lower the barrier to entry for developing countries, enabling them to adapt and customize Al solutions to local needs without incurring high licensing costs.

🔹 Open-source models are growing rapidly and narrowing the performance gaps with proprietary models. Open-source models are also increasingly challenging proprietary models in terms of performance.

♻️Repost to share this great World Bank report on AI with others

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Developing nations open-source AI use, hands China the win

McKinsey: State of AI 2025—Bottom-Line Gains from AI Remain Elusive

McKinsey looks at AI and puts the most important sentence on page 13: “Meaningful enterprise-wide bottom-line impact from the use of AI continues to be rare.”

McKinsey reports that only 39% of respondents attributed –any– level of EBIT impact to AI.

Even more surprising is that 62% of those surveyed are only experimenting or piloting phase of AI implementation.

So if you’re like me and wondering where the AI-driven ROI is hiding, we’ll have to wait a while longer to find it. 

As AI is a new technology, this wouldn’t normally be a problem. AI, like any new tech, takes time to adopt and make a financial impact.  

The problem is that McKinsey and big tech have been promising AI gains for a few years now, and that they haven’t yet materialized shows they were engaging in hype. 

It’s not that AI won’t make a lasting contribution to ROI; it most certainly will. But how long will it take? 

McKinsey surveyed 1,993 participants in 105 nations and does a fine job of distinguishing between “high performing” AI users and those I call laggards.

The gap is stunningly large, and only 6% of respondents qualify as “high performers!” 

McKinsey defines high performers as: “respondents who attribute EBIT impact of 5 percent or more to AI use and say their organization has seen “significant” value from AI use.” 

McKinsey’s observations on what makes an AI “high performer” are superb and on target, including:

- management attention, 
-AI spend, 
-avoiding using AI for cost-cutting,
-willingness to redesign individual workflows. 

The problem McKinsey doesn’t address is why, for years now, they’ve been selling AI as though it were an easy money maker. 

None of us should doubt that AI is transformational tech.  

The harsh truth: AI implementation is brutally hard, and the road to real ROI is a minefield.

McKinsey or big tech telling us otherwise is and has always been hype. 


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👉SINGAPORE FINTECH FESTIVAL STARTS WEDNESDAY! 🇸🇬

Hey, I’d love to see you in Singapore! If you’re going, leave a comment or drop me a PM, and we can meet at the Tencent booth.

♻️Repost to share these important articles on banks and AI with others

State of AI 2025: Bottom-Line Gains from AI Remain Elusive

Tencent's Bold Move Bringing "Cashless" China Overseas

Tencent announced a batch of new products at the Singapore Fintech Fest that are designed to allow greater access and more convenient cross-border payments.

Famed for its Weixin Pay (aka WeChat Pay), the company was instrumental in China's going cashless and now is building a future where payments are efficient and effortless.

Tencent continues to innovate, ensuring that Weixin Pay users abroad and foreign payment users in China get the cashless experience they deserve.

Let’s look at today’s reveals:

1️⃣ Easy Pay with Weixin Pay: pay anywhere 

Easy Pay is allowing Weixin to connect more payment providers than ever before.

Built on the central bank’s newly launched Cross-border Payment Gateway (CPG), it makes connecting two payment systems a breeze.

When Weixin is connected with a foreign payment system like Singapore’s SGQR+, Malaysia’s DuitNow, or Thailand’s PromptPay, Chinese Weixin users can make payments abroad through the connected system.

International users using these connected networks will not need to download Weixin to pay.   They can continue to use your trusted wallet like PayPal or even Venmo by scanning a Wexin QR code! 

2️⃣ Tencent Palm: more than payments, infrastructure

Palm payments are growing up! 

Now they are doing more than just payments, but are becoming part of our digital infrastructure.

Besides providing full pass-through digital wallet capabilities, Tencent Palm will open doors and control access to companies or universities.

Tencent palm payments work not just with WeChat Pay but with other payment providers.

Tencent is onto something, combining world-leading AI biometrics used for payments with other secure activities that benefit from the combination with payments.

Using a palm for payment is magical, and the best feature for many is that, unlike facial scans, you control when you use your palm.

3️⃣ Tenpay checkout: miniprograms go international 

Any WeChat user knows that mini programs are what put the super into Weixin’s super app.

Now miniprograms are going international with the ability to take payments in local currencies.

This means a merchant in Singapore or Macau can build a miniprogram for Weixin and take payments using local payment networks.

This is big because WeChat mini programs are already at work in some 92 countries, most tailored for Chinese tourists with payments made through Weixin.
.
Tencent paid for me to attend the Singapore Fintech Festival, making this a “sponsored” post. 

Sponsored or not, Tencent’s vision of “technology for good” and a "Cashless" future shines through. 

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Hey, if you're in Singapore, leave a comment or drop me a PM, and we can meet at the Tencent booth.  Would love to meet you in person! 

♻️Repost to share these important news from the fintech festival with others

Tencent's Bold Move Bringing "Cashless" China Overseas

S&P Global Ratings downgraded Tether, the world’s largest stablecoin, to its lowest rating, “Weak,” showing a harsh verdict and little faith in the world’s largest stablecoin to hold its peg. 

We are all being asked to “trust” in stablecoins, but here we have Tether, which underpins the entire crypto ecosystem, shown to be anything but trustworthy.

Tether commands a roughly 65% market share on $53T in stablecoin transactions in the past 12 months, with $184B in outstanding coins. (Visa Onchain Analytics)

For objective readers, the ability of Tether to hold its dollar peg depends on its asset quality.

↳Tether now has 24% of its total reserves in corporate bonds, precious metals, bitcoin, and secured loans, which are subject to price volatility and not always liquid. 

↳Tether claims to be over collateralized at 103.9% but with Bitcoin making up 5.6% of its reserves and its recent price drops, that number is likely already lower.

↳Tether's home?  El Salvador, where local regulations only require 70% of its reserves to be held in an asset that can be liquidated within 30 days!   How’s that for building trust? 

This is why Tether fought against the GENIUS Act tooth-and-nail!   

Now it will issue a GENIUS Act-compliant stablecoin, USA₮, which will mean that you can pick which Tether coin to use.   

The US will allow Tether to run a non-GENIUS Act-compliant coin in El Salvador that is favored by money launderers while it runs a compliant, clean coin in the US.  

Does that sound odd to you? 

Tether shows just how bad unregulated stablecoins can be and that size ≠ safety.


🦃 Happy Thanksgiving! 🦃 

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S&P Downgrades Tether to its LOWEST Rating

UNDP’s “Great AI Divide”: APAC Rich Nations Leap Ahead, Poor Nations Left Behind

A sobering new UNDP report warns that unmanaged AI risks widening inequality between nations — not just within them.

Key takeaways from “The Next Great Divergence: Why AI May Widen Inequality Between Countries”:

1️⃣  Starting lines are wildly uneven

-Asia-Pacific (55% of world population) now hosts >50% of global AI users
-China alone files ~70% of worldwide AI patents
-ASEAN economies could unlock ~$1 trillion in extra GDP over the next decade

2️⃣ Massive upside — if countries are ready

-Potential +2 ppt annual GDP growth
-Up to 5% productivity gains in health, finance, and public services
-Real-world wins are already evident: Bangkok’s Traffy Fondue (600k citizen reports resolved), Singapore’s Moments of Life (paperwork slashed from 120 → 15 mins)

3️⃣ Serious downside without deliberate action

-Women’s jobs are nearly 2× more exposed to automation
-Women in South Asia are 40% less likely to own smartphones  
-Youth employment is already declining in high-exposure roles
-Rural & indigenous communities invisible in training data → algorithmic exclusion
-No AI regulation, accountability, or bias control.

The big problem is capability — skills, computing power, and governance.  In some cases, connectivity is still precarious.

Affordability is another major issue. 

A recent survey showed 72% of emerging market corporate IT respondents can't afford Silicon Valley AI subscriptions.

This is why, for many, the only option will be to run China's open-source AI.  

What choice do they have? 

Countries that invest now will accelerate.

Those who don’t risk falling irreversibly behind.  

The Great AI Divide isn't coming.  

It's already here. 

What’s one policy or investment you believe is non-negotiable for emerging nations to make use of AI?


♻️Repost to share this AI inequality problem with others

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APAC Rich Nations Leap Ahead, Poor Left Behind

IBM’s 5 Trends for 2026: Owning AI Mistakes & Sovereign AI Are The Biggest Risks

IBM looks at the macro view of 2026 and identifies five trends that it considers “fleeting opportunities,” but I see most of them as risks waiting to blow.  

Two in particular will be big in 2026:

↳Trend 3 has customers holding corporate AI’s accountable, and in 2026, we will see the first big blow-up and lawsuits surrounding the AI system owned by a large multinational coming off the rails.  

Yes, customers will hold AI accountable, and when it makes a mistake, they will sue the responsible owner in a heartbeat. 

We’ve been spared any front-page lawsuits so far, but don’t think it’s because AI governance is good.  

Review any of the reports on AI governance, and they reveal how it is inadequate and bolted on as an afterthought. 

So far, most companies have had dumb luck, but the clock is ticking. 

↳Trend 4 on sovereign AI is another big risk. 

As data becomes ever more localized, it’s just a matter of time before companies will need to build local AI or run afoul of data localization problems.  

The days when data zipped across national borders to Silicon Valley are long gone. 

Nations, large and small, are asking the question they should have asked with the launch of Google in 1998: “Where is the data going?”  

The problem is that companies will likely get hit with localization requests after they’re up and running, which will throw a monkey wrench into very expensive AIs.  

Wait for fines, penalties, and bad press.   Remember TikTok? 
 
I enjoyed the other five as well, but sometimes some of the survey results stretch credulity.  

Does anyone believe that “48% of employees say they’d be comfortable being managed by an AI agent?”   

Really?  Let me know if you’re ready for an AI agent manager!  

The Five Trends:

1️⃣ Uncertainty will be your greatest asset—if you embrace it.

2️⃣ Employees will want more AI—not less.

3️⃣ Customers will hold your AI accountable.

4️⃣ Global AI resilience will require a local safety net.

5️⃣ Quantum advantage will demand strength in numbers.


♻️Repost to share these Big Insights for 2026 with others

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Owning AI Mistakes & Sovereign AI Are The Biggest Risks

IMF Reveals Stablecoins' Dark Side: Fueling Illicit Flows, Volatility Risks & Oversight Failures in Fragile Economies

The IMF's latest report pulls no punches on stablecoins – and the crypto backlash is already fierce.

Critics dismiss it as outdated thinking, but the IMF's warnings on monetary stability deserve attention.

Will anyone actually listen to the IMF?

Or are we so blinded by our desire for stablecoin miracles that we lose track of the risks? 

One stablecoin expert pushes back on the report:

“The benefits far outweigh the concerns. The report fails to acknowledge most people live in highly unstable fiat economies.”

Fair point on fiat instability — but does that justify replacing it with private, under-regulated money that may fragment payments? 

Who gave him greater expertise than the IMF on stablecoin risks vs. benefits?

While the IMF isn't perfect, it does understand money better than most stablecoin evangelists. 

IMF's Key Stablecoin Risks

↳ Stablecoins can fluctuate in value due to market and liquidity risks in their reserve assets, triggering sharp drops if confidence erodes.

↳ Limited redemption rights increase the likelihood of runs, potentially causing fire sales that impair market functioning.

↳ Widespread adoption could lead to currency substitution, undermining monetary sovereignty and weakening domestic monetary policy.

↳ Stablecoins can increase capital flow volatility by bypassing controls, especially in countries with weaker institutions.

↳ They may fragment payment systems without ensured interoperability, reducing efficiency and creating silos!!!!

↳ Risks are amplified in countries with high inflation, weak institutions, or low confidence in local currency, threatening macrofinancial stability.

↳ Operational, financial integrity (including money laundering), and legal certainty risks rise without adequate regulations, supervision, and backstops.

↳ Cross-border nature complicates regulation, data compilation, and international cooperation, potentially leading to policy conflicts.

↳ Fragmented global regulations create arbitrage opportunities, weakening overall effectiveness.

↳ Unhosted wallets and a lack of holder visibility limit enforcement and data-driven decision-making.

👉Which risk worries you most – or do you think the IMF is wrong? 
✍️Comment below.

♻️Repost to share this important stablecoin analysis with others
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IMF Reveals Stablecoins' Dark Side

Tokenization, Stablecoins & AI: Here, But Stuck in 2nd Gear

This week’s theme: Speed

(Yes, today’s artwork is a nod to my childhood hero, Speed Racer and his Mach 5 car — or Mahha GōGōGō for the purists.)

Three transformative technologies — tokenization, stablecoins, and AI — were all sold to us as “Mach 5” revolutions.

Reality? Most are still warming up in second gear.

Here’s the honest speed check:

1️⃣ Tokenization
Large institutions are genuinely interested, but adoption is moving slower than expected.

Missing global standards + fragmented cross-border regulation remain the biggest roadblocks.

Securities markets don’t move until the rules are crystal clear.

2️⃣ Stablecoins
Headlines scream “Klarna launches its own stablecoin!” and make it feel like we’re lapping the field.

Truth: Minting a coin is the easy part.
Winning trust, liquidity, merchant acceptance, and solving real problems (Tether’s recent downgrade is Exhibit A) is the long race.

Anyone can start in pole position — finishing is another story.

3️⃣ AI in the workplace
Executives believe their teams are eager and ready for rapid AI deployment.

Employees? Mostly anxious about job security and feel left in the dark.

This “enthusiasm gap” is the single largest brake on enterprise AI adoption today.

Bonus Read: The World Bank just highlighted how developing nations are turning to open-source AI to avoid sky-high licensing costs.

That trend is handing China — now the global leader in open-source model downloads — a strategic advantage.

👉Bottom line:
In tokenization, stablecoins, and AI, speed is governed by trust, standards, and people — not just technology.

The winners won’t be the fastest to announce.

They’ll be the ones who bring everyone along at the right pace and focus on the details that will bring these technologies into mainstream finance, not hype their potential.

What’s the biggest speed limiter you’re seeing in your world right now?

Regulation? Trust? People? Drop it below 👇

♻️Repost to share this great newsletter with others, they'll thank you! 

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Thanks for reading the “Cashless” newsletter, an insider’s view on Asia’s fintech, CBDC, and AI for anyone striving to understand “the Asia Century.” 

Open article: Tokenization and Stablecoins are Here – But Stuck in 2nd Gear by Richard Turrin • 6 min read

Tokenization and Stablecoins are Here – But Stuck in 2nd Gear

Tokenization: Stalled by an Adoption Gap

Token issuers are giving the sell side a product that doesn’t fit on their systems, and they don’t really want, while their buy-side clients haven’t yet seen any real advantages to buying them.  

That's the problem in a nutshell, and the MAS and the UK's FCA look at the reality, not the hype of tokenization.  

“The tokenised asset market currently suffers from a fundamental disconnect between what issuers build, how sell-side intermediaries operate, and what investors – mainly institutional – need."

"This misalignment has created an “adoption gap” where promising technology fails to achieve meaningful adoption, limiting the transformative potential of tokenisation.”

Let's look at the three key players:  

↳Issuers: 

Issuers, primarily from the crypto world, want to get the tokens out fast and make the tech sexy. 

This creates what the paper terms an “innovation trap,” where technological sophistication doesn’t work with institutional investors.  

Sure, you can sell to crypto natives with this formula, but not traditional sell-side institutions. 

↳Sell-side

Tokenization is like throwing a grenade in the sell-side business model and expecting them to say thank you. 

It blows up years of predictable regulations, SOPs, and tech infrastructure.

Then, as though that wasn’t enough, tokenized assets compress their margins!   

Is it any wonder the sell-side is in no rush?  


↳Buy-side

The buy-side is more sympathetic to tokenization if they can see the aforementioned margin compression, and or other clear advantages.  

The problem is that, for now, that isn’t happening. 

In these early days, the fees to purchase a tokenized asset can be more expensive than on traditional networks.

This is before buyers deal with regulatory compliance and risk management!

This leads many to take a “wait and see” approach.  

See the adoption gap between the three?  

Thanks to Alan Lim for recommending this paper and a great chat at SFF! 

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Director, Financial Infrastructure & AI Office, MAS

Tokenization: Stalled by an Adoption Gap

The workforce of the future will be a partnership of people, agents, and robots, but being "relevant" won't help you keep your job  — only being “essential” will.

McKinsey suggests that the partnerships you’ll form with agents and robots on the job will be enhanced by humans being relevant.  

👉My suggestion: don’t strive for relevance, strive for being essential!

McKinsey is correct, learning to partner with agents and robots is an important skill for every employee to learn, but only essential employees will get to use it. 

Being “relevant” is simply too low a bar to ensure future employment.  

Let that sink in if you’ve got more than five years left working.

McKinsey is totally unconvincing in trying to paint a bright picture of a future where we sing “Kumbaya” as skilled partners with agents and robots. 

Their own statistics sing a far more sober tune. 

McKinsey finds that currently demonstrated technologies could, in theory, automate activities accounting for about 57% of US work hours today.

While McKinsey is quick to point out that the 57% is not a forecast of job losses, it is absurd to think that this figure does not reflect the scale of the downsizing ahead. 

For many employees, within this 57%, their ability to form partnerships will be irrelevant. 

McKinsey tries to paint a bright picture for employment, focusing on the 70% of human skills that will remain relevant.  

McKinsey has no answer for what will happen when a single partnered human can do the work of four or five due to efficiency gains.  

This is where being essential, at whatever job you do, will be more critical than ever.

Learn AI, agents, and robots, learn how to partner, but most of all, be essential!  

McKinsey estimates that by 2030, AI-powered agents and robots could generate about $2.9 trillion in US economic value per year.

Relying on being “relevant” during a period of such tremendous disruption is a very poor workplace survival strategy.

♻️Repost to share this advice about being "essential" when the AI disruption hits with others

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Partnering is good — being "essential" is much better!

Tokenization Is Here – But 85% of Institutions Predict a Slow Rollout 

Tokenization is here, and it works with 91% of custodians citing improvements in efficiency and transparency, and most early adopters are realizing substantial benefits. 

The bigger question is how long we will have to wait, when 81% of early adopter individual investors and 85% of institutional investors say adoption will be slow.

The Broadridge Tokenization Survey is refreshingly hype-free and covers 300 financial institutions and reveals that early adopters like Hamilton Lane, Apollo Global Management, and KKR love it and are seeing real benefits. 

With names like this participating, it’s clear that tokenization has broken through to the big time. 

The most significant revelation in the survey is that tokenization’s benefits are real, and early adopters’ top three benefits are transparency 76%, reduced operational costs 74%, and increased efficiencies 65%.

These are impressive results, but what we still do not know is how quickly the supertankers that are global financial markets make a turn toward tokenization.  

Regulatory risk is by far the biggest hindrance to tokenization. 

Even among early adopters, 65% fear regulatory risk, and among future adopters rises to a lofty 78%. 

The biggest issues remain classifying tokenized instruments as securities, investor protection, and standardized protocols for transactions.  

To date, only small gains have been made, and that should concern us all. 

This means that even the most well-intentioned early adopters of tokenization are out on a limb without regulatory clarity and standardization. 

This leaves many FinServs in a state of limbo, and that is unfortunate for all of us.


♻️Repost to share this hype-free report on tokenization with others

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Tokenization Is Here – But 85% Predict a Slow Rollout 

SE Asia's QR Code Revolution Fuels Double-Digit Digital Finance Growth Beyond Payments

Google, TEMASEK, and Bain & Co look at Southeast Asia’s (SEA’s) digital economy and see sustained double-digit growth in everything from e-commerce to digital finance. 

Behind this growth are QR code-based payments, which serve as the foundation behind SEA’s digital boom and are paving the way for its AI surge.  

Like China, whose model for success SEA copied, QR payments are the bedrock on which many other digital advances are built. 

Everything from online travel, transport, food, gaming, and digital wealth relies on QR payments for low-friction transfers.

That said, the Digital Finance Market in SEA is far more than just QR code payments. (See pages 30-38)

Digital wealth scored an incredible 24% YoY growth, while payments (19%), lending (18%), and insurance (16%) all scored impressive growth.  

Unsurprisingly, credit card volumes remained flat YoY. 

Part of this growth in digital financial services can be attributed to embedding financial services on digital platforms, which is much further advanced when compared to the West.

SEA’s digitally engaged population is now looking at AI, and consumers are 3X more interested in AI than in the rest of the world and 1.6X more positive. (See pages 52-68).

Unsurprisingly, AI is in part being driven by superapps that make huge use of it across their platforms (WeChat has around 20 uses in its app). The other key factor is that employees do not see AI replacing their jobs.  

So while SEA nations may have a host of other problems, going digital isn’t one of them.  

SEA continues to be a model for digitization that other nations could learn from. 

And all of this growth started with the humble QR code! 

♻️Repost to share this great news on digital SE Asia with others

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🔺Onalytica No.4 Global Fintech Influencer with two best-sellers.

SE Asia's QR Codes Fuel Digital Finance Growth

Tencent's "Tech for Good" Reimagines Remittances

Remittances are an important part of financial inclusion, and no one feels the burn of high transfer costs more than China’s foreign workers sending hard-earned money home to support families.

Along with yesterday’s new product announcements, Tencent launched Tenpay Global Cross-Border Remittance Service, which is in keeping with its motto “tech for good.”

What makes this service unique is how Weixin (WeChat) uses its mini-programs to give those sending remittances a choice in who will send their remittances back to China.  

Instead of promoting a single provider, it gives each remittance provider a miniprogram and lets users select the one with the best rates or service.  

This approach reinforces Weixin’s long-standing belief that its platform is open to all, not just a selected few. 

Remittance providers include Panda Remit, Remitly, Western Union, Ria, Moneygram, Wise, and over 60 + remittance partners in over 100 countries. 

Users sending money back to China can compare the rates of providers and even see the amount received by loved ones on many of the mini-programs.

Surprisingly, many Chinese use Western Union brick-and-mortar stores for remittances.   

Partnering with Tencent, they built a mini-program to allow users to digitally fill out transfer forms in Mandarin, breaking language barriers.

Yesterday, I mentioned “Tencent Palm,” which is a way of using palm biometrics not just for payment but for infrastructure. 

Tencent took me on a tour today to see “Tencent Palm” in action, and it was worth the trip.  

We made stops at the Singapore Institute of Technology and Adventure Cove water park, which is part of the “Casino and Resorts World Sentosa,” a large theme park operator and “anywheel” bike ride share company.  

What do a Tech School, bike sharing, and a water park have in common?  

All are using palm readers to control access and make payments on site.

Students and water park goers can gain access to the facilities and pay for dinner at the school cafeteria or water park, all with a swipe of their palm.

Bicycle sharing company “AnyWheel” will soon have prototype shared bikes with pay by palm enabled for hassle-free riding. 

Seeing these products at work showed how access and payment by palm go beyond convenience. 

It is digital infrastructure that transforms how we interact with our environment.  

This is a sponsored article. Tencent paid for me to travel to Singapore.  

Despite being sponsored, it’s hard for an objective reader to see how Tencent’s work in remittances and improving access by going cashless is anything but “tech for good.” 

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Hey, if you're in Singapore for the final day of SFF leave a comment or drop me a PM, and we can meet at the Tencent booth. Would love to meet you in person! 

♻️Repost to share this news on remittances with others

Tencent's "Tech for Good" Reimagines Remittances

Mobile Money in Asia Never Ceases to Amaze: Even when UPI and WeChat are Excluded.

QR Code payments for mobile money in Asia now make up 76% of merchant payments for “mobile money” compared to 46% globally.

Remember, mobile money is defined as a "non-bank digital wallet," so India’s UPI and China’s WeChat and Alipay aren’t included in this report.  

Mobile money is a key component of financial inclusion, and that’s why the “Mobile Money Report” from the GSMA is one of my favorite reads. 

The report tracks the growth, adoption, and impact of mobile money services, with a focus on emerging markets and their impact on inclusion. 

Tonight I just wanted to look at Asia because, frankly, the numbers are incredible. 

To be fair, Sub-Saharan Africa is actually the world leader in mobile money, but Asia, with its QR networks, is still the one to watch.

Why?  Because these figures tell only half of Asia’s story. 

To understand the full impact of mobile payments, not just mobile money, imagine adding UPI’s 491 million users and WeChat’s 1.2 billion users to these figures!  

Each statistic below shows that more people across Asia are gaining financial access, which is why this report is always inspiring! 

(Note: Asia comprises “South Asia:” India, Pakistan, Bangladesh, and “East Asia and Pacific:” Indonesia, Philippines, Papua New Guinea, Fiji.

👉Read through these stats slowly for impact:

🔹 QR codes remain the preferred channel for merchant payments in Asia and are accepted in 76% compared to 46% globally.

🔹 862 million registered users for a 41% global share. (Note this is mobile money and excludes WeChat’s 1.2 billion and UPI’s 491 billion users!) 

🔹 One in three new registered accounts globally originates from Asia

🔹 Asia’s proportion of digital transactions reaches 80% in East Asia! 🔥

🔹 Asia transacts about $500 billion annually. [China’s mobile payments alone $48T. ]

🔹 P2P payments represent roughly 70% of all payment types. 

🔹 Remittance transfers using mobile money grew by nearly 50% last year. 

🔹 Banks connecting to mobile money platforms increased by 20% 

🔹 Many mobile money systems use Agents to receive and disburse payments. Asia’s agent numbers are low in part because of QR codes and the greater use of smartphones, not feature phones.  

♻️Repost to share Asia focused mobile money insights with others

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Mobile Money in Asia Never Ceases to Amaze

✦Weekend Read✦   Deloitte:  High Impact AI Use Cases Across Six Industries

Deloitte with a great read that shows "high impact" use cases across six industries. 

While I, of course, loved the section on financial services (pg 65), the uses in other industries I don't keep up with were even more fascinating to me.  

Who would have guessed AI is being used to for "Autonomous drone-based infrastructure inspection" (pg 43) as power line inspection isn't quite in my daily reading section.  

Or how about as a "co-writer for appeals" when a medical insurance claim is denied.  60% of claims are recoverable and AI can help compile the appeal from medical records.    Who'd have guessed?    

So this is a weekend read because at 190 pages, it is fun to just curl up and flick through some of the astounding use cases! 

Enjoy your weekend! 

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👉SINGAPORE FINTECH FESTIVAL NEXT WEEK! 🇸🇬

Hey, I’d love to see you in Singapore! If you’re going, leave a comment or drop me a PM, and we can meet at the Tencent booth.

♻️Repost to share these important thoughts on AI empathy with others

High Impact AI Use Cases in Six Industries

🔥Special Edition🔥: Banks and AI – 77% See No Change in GenAI ROI Year on Year

This week, I’ve got a special for you focusing on banks and AI, and every story is a winner!

I lead with Google’s report on GenAI use in financial services that shows how for 77% of finservs ROI has gone sideways since last year, with few appreciable gains. 

This is a shocker and doesn’t live up to Google’s consistent narrative that GenAI will be a big money maker for banks. 

The way Google buries this story in its report is yet another glaring example of how it sells hype more than reality. 

I do need to give Google some credit. The report does show how, while many finservs are lagging with AI adoption, those who are adopting AI are seeing some reasonable gains. 

BCG looks at AI in banking and sees $370B in profits in play, with the warning that if banks don’t adopt AI, they will become irrelevant. 

BCG is correct. Banks that remain AI laggards, like those shown in Google’s report above, will have a hard time being relevant next to banks that offer extensive AI services.  

The problem is that, from Google’s report and many others we’ve seen, more banks are AI laggards than AI adopters.

Banks appear to be as slow to adapt to AI as they were to fintech. This means that a big piece of the banking sector is doomed to irrelevance and eventual buyouts or takeovers.

So what do banks need to do to make breakthrough AI that users trust?  

It turns out that they need to build empathy into AI and that this is not as impossible as it may at first sound.

Empathy allows humans to warm up and feel that the AI is relating to their problem, not just fulfilling a specified use case. 

I confess this paper on empathy was my favorite read this week. It really is fun, and I urge you to read it to see how banks can win with AI. 

So big international banks just need to build one AI solution and can roll it out to other regions to capture AI profits, right?   

Not so fast!  With increasing demands for “sovereign AI,” banks should be thinking about building AIs that are used in one specific country to conform with data privacy and other local AI laws. 

Our final story is about APAC winning the AI race with more users than any other region in the world!  

Interestingly, not only are there more users in APAC, but those who are using AI are more enthusiastic than in any other region!  

This article speaks to how important the human factor is in AI adoption. Asia’s high adoption rate is fueled by human enthusiasm and the desire to use AI. 


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👉SINGAPORE FINTECH FESTIVAL NEXT WEEK! 🇸🇬

Hey, I’d love to see you in Singapore! If you’re going, leave a comment or drop me a PM, and we can meet at the Tencent booth.

♻️Repost to share these important articles on banks and AI with others

Special Edition: Banks and AI – 77% See No Change in GenAI ROI Year on Year.

Deepfakes 2025: The $10.5T Trust No-One Economy Is Officially Here

Citi Institute published a report on deepfakes that I am sharing as a public service announcement, with the recommendation to all readers of “Trust No-One.”

This is personal, with hundreds of hours of video and voice available, and living in AI-rich Asia, I am a prime target for fraud.

As a result, I instructed all family members NEVER to respond to a call or message asking for money, claiming I am in the hospital, or asking for personal details, even if they are sure it’s me. 

While it may sound simple, I told my brothers a secret two-way password that I would use when discussing any financial or medical transactions over the phone.  

Am I paranoid? 

I don’t think so, and while it is a ridiculously simple solution, I recommend it to others for at least some minimal amount of protection.

We now live in an era of “Zero-Trust Communication” where trust can no longer be assumed.  

Trust has to be continuously verified, and while my secret code may be far too simple, it changes the odds at least slightly in my favor.  

I also vet every social media interaction through friends for identity validation.  

As Citi says: “never trust, always verify”.

I received a message on LinkedIn for a consulting project a month ago.  

My first response was not to write back, but to reach out to a trusted shared contact to verify that the person existed and was real.  

This is a sad state of affairs, but it is the “new normal” in the age of AI, and why financial crimes are skyrocketing. 

Financial crimes, particularly on real-time payments, are not network hacks, but real people willingly transferring money to deepfakes.

There is no AI in the world that can stop real people willingly sending money.   

Fighting AI with AI?  

That’s the mantra I hear repeated daily, but the sad reality is that criminal use of AI is far more innovative and evolves faster than anything at a bank or payment system. 

Criminals innovate by doing and live testing, banks can at best respond to the threat after it succeeds, rarely head them off. 

The good guys are losing, and that’s the sad truth. 

Kudos to Ronit Ghose and the entire team for this important read

♻️Repost to share this important read on Deepfakes with others

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🔺Onalytica No.4 Global Fintech Influencer with two best-sellers.

Onboard A380 | Future Money author | Future of Finance think-tank | Fintech | Digital Assets | Advisory | Investing

Deepfakes 2025: The $10.5T Trust No-One Economy

Evaelynn V. Koutoumanis — EMIs - PIs - Block⛓️- DigitalAssets - AI - Banks

Asia Special ☯︎: QR Code Revolution Fuels Double-Digit Digital Finance Growth

This week, I’ve got a special for you focusing on Asia and the impact of real-time QR payments in the region.

That’s why today’s art has a decidedly Asian feel to it, with my use of Tintin, a beloved cartoon character from my childhood.

The first three articles below all show how instant QR-code payments have fundamentally changed Southeast Asia (SEA) and APAC.

The first two show clearly that QR code payments are the foundation on which Asia’s digital growth is based. This shouldn’t come as a surprise to anyone!

SEA and APAC are copying China’s tremendous success with WeChat Pay and Alipay, and who can blame them?

This leaves credit card companies in the unenviable position of having flat growth in the region.

In the third article produced by Visa, we can see how bad it is for cards.

Visa’s research shows that in SEA, 46% use RTP and mobile payments versus 21% for cards! This is why Visa is mounting a “Trojan Horse” attack on RTPs!

Do you have a family password for financial and medical discussions with family members?

I know this may sound like an odd question. But after you read Citi’s take on “deep fake” frauds, you’ll see it’s simple protection in a world of digital frauds.

That’s why I call this article a “public service announcement” because this is such an important read for you and your families.

So today I put up what will undoubtedly be a controversial article declaring that China will win the “AI war.”

I believe China will win not because of chips but because of trust. I’ve put this article behind a paywall but left enough showing to give non-subscribers the general idea.

This comes hot on a similar announcement that China is winning from Nvidia CEO Jensen Huang, which most definitely turned heads.

Finally, I have a fantastic “Bonus Read” showing Asia’s love affair with all digital assets, including crypto.

I’m not a crypto fan, but it is simply too big in Asia to be ignored.

If you love crypto, please read this article. It’s a good one.

If you hate crypto, read the selected chapter (pg 74) to see why it is useful in Asia!

♻️Repost to share this Asia focused newsletter with others

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Asia Special: QR Code Revolution Fuels Double-Digit Digital Finance Growth

Klarna launching a stablecoin is today’s breaking news, but the reality is that with hundreds of new stablecoins launching, it doesn’t really matter, and I have to ask why anyone should care.  

Some will look at me incredulously and say, Of course, it matters!

Klarna’s big! It has 114 million customers and $112 billion in annual gross merchandise volume.  

And what does it want to do with these stablecoins?  

The same thing as everyone else: reduce costs associated with cross-border payments.

So forgive me if I yawn. 

We’ll still have Wise, Revolut, Circle, and Tether for low-cost retail money transfers among dozens of others, and a host of wholesale bank tokenized deposits.  

While it certainly may be convenient for some customers, how much is Klarna really going to make on it?  

The whole idea of stablecoin transfers is that they're cheap, so good luck turning these transfers into money makers.

The more interesting use case for Klarna is internal wholesale transfers like Ant Group, which, at least for now, is using deposit tokens!

Add to the problem, competitors racing to zero-cost transfers to capture market share, and we have to ask if Klarna has the stamina to hold out.

This is no joke, given its 30% drop in stock price since listing, bringing it to new lows. 

🔹Pick a stablecoin, any stablecoin.  

The larger problem is that with hundreds of new stablecoins announced, it will be a bloody battle to attract users.  

What exactly is the difference between a Klarna stablecoin, Wise’s, or Circlecoin?  

The obvious answer is that some will be embedded on the platform to make them easy to use.  

Great! Klarna coin embeds to make it effortless, but what about Tether or anyone else’s coin?  

Embedding will serve what 1% of the theoretical stablecoin use cases? And the other 99%? 

It’s not enough to simply mint a stablecoin. That part is easy, which is why we are seeing so many announcements.  

The problem is getting anyone to use it and to achieve broad-based acceptance.   

🔹Fragmenting your wallet? 

What we are already seeing is the fragmentation of the monetary system, and this has profound consequences. 

We are used to Visa and Mastercard networks that transfer fiat, where you take your card out at a merchant and pay.

Stablecoins can make no such guarantee, and whether your bank or your local merchant accepts Klarna Coin or any other will be up in the air.  

Some may argue that solutions like Ubyx Inc., which will operate a clearing system for stablecoins, will make stablecoins ubiquitous. 

Yes, but with hundreds of stablecoin providers, many will be on their own. 

So will your bank accept a Klarna coin?  

Who knows? 

I wish Klarna success, but no, I’m not excited in the least.  

♻️Reposters, you rock!  Please share with others

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Ubyx Inc.

Why Klarna’s Stablecoin Matters Less Than You Think

Award-winning AI & Automation Expert | Keynote Speaker, Influencer & Best-Selling Author | Forbes Tech Council | 2 million+ followers | Follow me to be IRREPLACEABLE and thrive in the age of AI ✔️

Pascal Bornet is an award-winning expert, author, keynote speaker, and influencer in Artificial Intelligence (AI) and Automation. He has received multiple awards and is regularly ranked as one of the top 10 global AI and Automation experts.

Bornet developed his expertise over more than two decades as a senior executive at McKinsey and EY, where he established and spearheaded their "Intelligent Automation" practices. During this time, he implemented AI and Automation initiatives for hundreds of organizations worldwide, driving transformative change across industries.

Bornet has authored three best-selling books: "INTELLIGENT AUTOMATION" and “AGENTIC ARTIFICIAL INTELLIGENCE,” guides for organizations and leaders to transform using new automation technologies, and "IRREPLACEABLE," a universal approach to leveraging AI for personal, professional, and organizational growth. 

Pascal shares his insights by delivering over 100 keynotes each year. His insights have been featured in prestigious publications such as The Financial Times, Forbes, Bloomberg, McKinsey Quarterly, and The Times.

For the past 20 years, Bornet's research has focused on the intersection of AI and Humans, where he believes the greatest untapped value lies. He is a fervent advocate for human-centric AI, convinced that with the right approach, AI has the power to make our world more human: elevating the human experience and making our world more empathetic, creative, and fulfilling.

As a sought-after lecturer at several universities and an influential voice on social media with over two million followers, Bornet is dedicated to shaping the conversation around AI and Automation, and Humanity. 

He is an active member of the Institute of Robotics, Process Automation & AI, and the Forbes Technology Council, and serves as a Board Member or Senior Advisor for numerous organizations, startups, and charities.

Please "follow" Pascal Bornet, as he has reached the maximum connection limit on LinkedIn. For communication, feel free to email him at 𝘱𝘢𝘴𝘤𝘢𝘭𝘣𝘰𝘳𝘯𝘦𝘵@𝘺𝘢𝘩𝘰𝘰.fr or visit his website: www.pascalbornet.com. 

#AIagent #AI #Artificialintelligence #agentic #agenticintelligence #agenticai

Pascal BORNET

A teacher used AI to show her students as grown-ups in their dream jobs. 🤗

The result?
A viral, heartwarming reel — and a powerful lesson about the human side of technology.

AI didn’t just generate images.
It generated belief.

When those kids saw themselves as doctors, artists, astronauts, and engineers, they weren’t just imagining the future — they were feeling it.

And that matters.
Because psychology tells us that visualizing success makes it more achievable.
Now, AI can make that visualization vivid, personal, and real.

📊 1 in 3 U.S. educators already use AI to personalize learning.
💡 Emotional storytelling with AI improves memory retention by 70%.
❤️ This teacher gave her students something few adults ever get — a visual future worth believing in.

This is AI as empathy tech.
A tool not for replacing humans, but for amplifying hope, motivation, and imagination.

👉 What if we used AI not just to optimize work — but to elevate people?

#AI #Education #Innovation #Empathy #TechnologyForGood #FutureOfWork #Leadership

The smartphone just declared war on the camera industry

Xiaomi just dropped a wild idea: a smartphone with a detachable pro-grade camera lens.

A phone that snaps on a real lens with magnets. Yes, magnets.

It’s a clever move at a strange moment in history.

Camera sales keep falling. Smartphones keep rising.

And the real arms race isn’t glass anymore — it’s AI-powered image processing.

As an AI guy and a photographer, here’s my take:

Hardware won’t save the camera industry.

Software will.

The future of photography is no longer in the lens… it’s in the algorithm.

Phones will keep getting smarter.

Cameras will stay for the purists.

But detachable lenses?

Feels like a bridge between two worlds that are already drifting apart.

But maybe I’m wrong.

Maybe this hybrid future has a place.

What do you think — genius innovation or a beautiful dead end?

#AI #Tech #Photography #Innovation #Smartphones #FutureOfTech

Moving X-Rays are here — and they’re rewriting medical imaging.

Dynamic Digital Radiography (DDR) turns static X-rays into motion pictures.
Up to 20 seconds of real-time movement captured in a single exam.
You can watch bones, joints, and tissues in motion — in slow motion, frame by frame, or full speed.

This changes everything.
For orthopedists, it’s like going from a photo… to a movie.
You can finally see how the body moves, not just how it looks.
How bones and soft tissue interact.
Where pain originates.
How stability shifts under real weight.

It’s faster, deeper, and far more human-centered care.
Because real life isn’t static — and our diagnostics shouldn’t be either.

💬 What other fields do you think could be revolutionized by seeing movement instead of moments?

Source: Konica Minolta
#Innovation #Healthcare #FutureOfMedicine #AIAndHumans #DigitalHealth #Technology

💥A nanorobot just killed a cancer cell.

Not with chemicals.
But with intelligence.

This microscopic machine hides its weapon inside a DNA nanostructure — and only unlocks it in the tumor’s microenvironment.
Healthy cells stay untouched.

As Professor Björn Högberg from Karolinska Institutet explains:

“If you were to administer it as a drug, it would indiscriminately start killing cells in the body... To get around this, we’ve hidden the weapon inside a nanostructure built from DNA.”

What most people don’t know:
These DNA nanostructures aren’t just passive containers.
They can sense, decide, and act — like tiny programmable agents operating inside the human body.
It’s not science fiction anymore.
It’s agentic medicine.

My take:
We talk about AI transforming business — but the next frontier is AI transforming biology.
When intelligence becomes molecular, health stops being reactive and becomes adaptive.
We’re not just curing diseases; we’re teaching cells how to defend themselves.

It’s a glimpse of what happens when biology meets computation — and when humans stop programming code, and start programming life.

#AI #Nanotechnology #Medicine #DNA #Innovation #AgenticAI

🤖 “AI is the solution.” “AI is the problem.”

That’s what my LinkedIn feed looks like lately — a tug of war between optimism and fear.

Half the world is racing ahead.
The other half is hitting the brakes.

And every time I see this, I realize both sides are missing something deeper.

The truth is simple — and uncomfortable:
AI isn’t the problem or the solution. It’s a magnifier of intent.

Whatever you put in, it amplifies.

Good design becomes great.
Bad systems become worse.

I’ve seen this up close with teams I’ve advised.

Some adopt AI to boost output — and end up scaling inefficiency.

Others start with a clear goal — and unlock exponential progress.

It reminded me of a hard truth:
AI doesn’t replace thinking.

It reveals how little of it we actually do.

Here’s what I’ve learned watching this unfold:
 → AI mirrors your structure — not your ambition.
 → It accelerates outcomes — not direction.
 → It rewards clarity — and punishes confusion.

In other words, AI doesn’t change the rules — it exposes who’s been playing without them.

The real skill today isn’t prompt engineering.

It’s Outcome Engineering — the ability to define clarity before generation.

Before using AI, ask yourself:
 ✅ What outcome am I solving for?
 ✅ What values do I want AI to scale?
 ✅ What limits define “too much automation”?

Because AI doesn’t shape us.

It just turns up the volume on who we already are.

So here’s my question for you —
Is AI making us smarter… or simply more visible?

#AI #Leadership #Innovation #Automation #DigitalTransformation #Mindset

🏠 We Can Now Build Homes in Hours — But What Happens to the Idea of “Home”?

I recently came across something extraordinary — Airform domes.

Inflatable membranes that rise into full shelters within a single day.

They’re strong, energy-efficient, and weatherproof — a marvel of design and engineering.

At first, I thought this was pure progress.

Finally, a way to give safety to thousands — instantly, sustainably, beautifully.

But the more I reflected, the more I realized something deeper.

We’ve always built slowly — not because we lacked speed, but because building meant something.
 → Time gave space for meaning to form.
 → A home wasn’t just constructed; it was cultivated.
 → The process of building was part of becoming.

Now, I think we’re entering an era where speed outpaces sentiment.

We can inflate safety overnight — but we can’t inflate belonging.

And that makes me wonder: are we solving for shelter, or for humanity?

In my opinion, the question isn’t how fast we can build — it’s how deeply we can design for the human experience.

Here’s what I believe we can do:
 ✅ Design shelters that evolve with people — not just protect them.
 ✅ Use speed to serve empathy — deploy fast, but rebuild slowly.
 ✅ Treat architecture as storytelling — every structure should say, “you belong.”
 ✅ Blend technology with community — because resilience without relationship is just survival.

I think the real test of progress isn’t efficiency — it’s emotional continuity.

A home isn’t just a structure we enter; it’s a story we continue.

👉 So here’s my question: if technology can now build homes in hours, how do we make sure they still feel like ours?

#Architecture #Sustainability #Innovation #HumanDesign #ResilientFutures #TechnologyAndSociety

RIP Google Search. Google's 25-year monopoly just ended.
100M users now ask ChatGPT "what should I buy" 
And its answer is now the starting point of your customer journey.

Welcome to the era of AI reputation.

And here’s the uncomfortable truth:
Most brands have no idea what AI thinks of them.

That’s where AirOps comes in.
It’s the first platform that lets you see yourself through AI’s eyes.

It tracks how your content appears across AI engines —
how often you’re cited, who’s outranking you, and where your message is fading.

It even shows how to fix it — by refreshing your pages, structuring your data, or publishing what AI craves most: authentic, evidence-backed insight.

Their recent analysis reveals something deeper about this new world:

🧠 AI rewards clarity, not volume. Short, structured, verifiable content wins.
💬 Authority is borrowed, not claimed. 85% of AI mentions come from other people’s sites.
📈 Consistency compounds. Update your pages within 90 days, and your visibility triples.
📽️ Video is the new source text. YouTube now drives 75% of citations from unbranded searches.

Think about what that means.
AI is becoming the new “word of mouth.”
It’s not asking who’s shouting loudest — it’s learning who speaks the truth most consistently.

In the old world, we optimized for clicks.
In this one, we optimize for trust loops.

AirOps helps you build them.

Because the real challenge of modern marketing isn’t to be seen.
It’s to be believed — by both humans and machines.

💬 What’s one thing you’re doing today to make sure AI remembers you?

AirOps is giving away a 12-page playbook on how to rank on AI search with high quality content.
Comment “Playbook” & I’ll send it over.

#AiropsPartner #AI #Marketing #AgenticAI #AirOps #GenerativeAI #SEO #GEO #ContentStrategy

💡 Why your $5M AI investment could generate $75M — if you understand inference.

When I sat down with Dion Harris from NVIDIA, I expected a conversation about GPUs.
What I didn’t expect was a revelation about what truly powers the next industrial revolution: inference.

It’s the quiet, invisible moment when AI stops learning and starts thinking.
When intelligence turns into impact.
When cost centers turn into intelligence factories.

In this new piece, I share:
 ⚙️ Why inference — not training — creates real business value
 💰 How expensive infrastructure can actually reduce costs
 🏭 And why every CEO needs to start seeing their data centers as revenue engines

🤔 My take
 The companies that win the AI race won’t be the ones building the biggest models —
 They’ll be the ones turning intelligence into business outcomes, faster and smarter.

🎥 Watch my full conversation with Dion: https://lnkd.in/edRzZnGs

#NvidiaPartner #ArtificialIntelligence #AIInference #MachineLearning #DigitalTransformation #BusinessStrategy #Innovation #NVIDIA #AIFactory #EnterpriseAI #FutureOfWork #TechLeadership #DataScience #AIAdoption #BusinessIntelligence

When I sat down with Dion Harris, Sr. Director of HPC, Cloud and AI Infrastructure Solutions GTM NVIDIA AI, I knew we'd be diving deep into artificial

Open article: Why Your $5 Million AI Investment Could Generate $75 Million—If You Understand Inference by Pascal BORNET • 5 min read

Why Your $5 Million AI Investment Could Generate $75 Million—If You Understand Inference

🎯 This is where the real magic of Agentic AI begins.

When I asked Chris Hallenbeck, Boomi’s SVP & GM of AI and Platform, what agentic transformation truly means, his answer struck me:

“It’s not just about dropping agents into existing processes.
 It’s about rethinking how those processes work and run.”

At Boomi, they run what they call Agentic Impact Workshops — sessions where business and IT teams sit together, learn what agentic workflows are, and build them live.

And something fascinating happens.
Business leaders suddenly realize: “That’s what AI really is!”
They start filling pages with ideas.
Because for the first time, AI isn’t abstract — it’s actionable.
This is the moment when organizations move from AI experiments to AI impact.
From theory to transformation.

In my full interview with Chris, we explore exactly how these moments happen — and how to replicate them in your own company.

🎥 Watch the full conversation here: https://lnkd.in/eXYrzFSa

👉 Curious about Boomi: https://lnkd.in/e-W2RUrF

💬 Question for you:
Do you think your organization is still experimenting with AI — or already transforming with it?

#AgenticAI #Leadership #AITransformation #BoomiAmbassador #Automation #FutureOfWork #DigitalTransformation

💡 Can Technology Light Up Our World?

I came across the Liter of Light project again this week — a plastic bottle, some water, and sunlight — and suddenly, darkness disappears.

It’s one of those ideas that feels too simple to be real.

No wires. No batteries. Just light, refracted through clarity.

The project began in the Philippines and has since spread across the world — turning discarded bottles into skylights for homes, classrooms, and communities.
100% sustainable.
Accessible.
Affordable.
And human at its core.

I’ve been thinking about it ever since.

Because in my world, innovation usually starts with GPUs, data, and billion-dollar labs.

But this one started with scarcity — and still managed to create abundance.

That contrast says something uncomfortable about how we define progress.

Maybe innovation isn’t about building smarter systems.
Maybe it’s about remembering why we build at all.

When you design from limits, you see the world differently:
 → You question assumptions instead of adding features.
 → You focus on purpose, not performance.
 → You create tools that return power, not just use it.

Here’s what this mindset looks like in practice:
 ✅ Reimagine the problem. Ask “What’s essential?” before “What’s possible?”
 ✅ Design for access. If it doesn’t reach the edges of society, it’s not innovation.
 ✅ Teach simplicity. Complexity might impress people — but simplicity empowers them.

But here’s the deeper layer most people miss 👇
→ Scarcity doesn’t limit innovation — it purifies it.
When you have less, you’re forced to confront what truly matters.
→ Constraint breeds clarity. It removes everything unnecessary until only truth remains.
→ Simplicity scales trust. The fewer dependencies a design has, the more universally it works.

That’s why Liter of Light feels so profound to me.
It’s not just about sustainability — it’s about subtractive intelligence.
It shows that the smartest ideas don’t add complexity; they restore perspective.

To me, this is the real frontier of technology — not artificial intelligence, but applied empathy.

💭 What if the next breakthrough isn’t about generating more power — but learning how to share the light we already have?

#InnovationWithPurpose #HumanCenteredDesign #FrugalInnovation #SubtractiveThinking #TechForGood #AIandHumanity

A 17-year-old just built a mind-controlled prosthetic arm for $300.

Yes, $300.


For something that usually costs $450,000.

Let that hit you.

A teenager, working from home, used AI, cheap materials, and 23,000 lines of code to build a device that reads brain signals without surgery, without implants, and without a $450K price tag.

This is not a feel-good story.


It’s a warning shot.

How can a high school student build something 1,500× cheaper than the industry standard?


What does that say about innovation?

About pricing?

About who gets access to life-changing technology?

Of course, medical prosthetics are expensive for real reasons:
materials, testing, regulation, customization.

But let’s be honest — not all of that justifies a half-million-dollar price.

This story exposes a simple truth:

The future of accessibility won’t come from the system.

It will come from the outsiders who dare to challenge it.

If a 17-year-old can match top-tier prosthetics for a fraction of the cost…

why aren’t these solutions available to the millions who need them?

What do you think — breakthrough moment or the start of a bigger revolution?

#AI #Innovation #Healthcare #Accessibility #FutureOfTech

Banks Don’t Need More AI Pilots. They Need a Nervous System.

I’ve been reading McKinsey’s new blueprint for how banks can actually extract value from AI — and I think it exposes something most institutions still don’t see clearly.

The biggest bottleneck isn’t algorithms.

It’s architecture.

Most banks are running dozens of isolated AI experiments.

But without orchestration — without a central “brain” — they’re just building smarter silos.

McKinsey’s model reframes the AI-first bank as a four-layer stack — not a set of tools, but an integrated system that thinks, learns, and adapts.

🧠 1. The Engagement Layer
Where experience gets personal.
→ Multimodal chat (text, voice, image)
→ Omnichannel UX
→ Digital twins for customer and workforce simulation

💡 2. Decision-Making Layer
The brain — powered by agent ecosystems that plan, reason, and delegate.
 → AI Orchestrators coordinating domain agents
 → Copilots guiding human decisions

🧩 3. Core Tech & Data Layer
 The foundation that determines scalability.
 → Vector databases, retrieval engines, LLM orchestration
 → FinOps and ML pipelines that keep models alive

🏗️ 4. Operating Model Layer
 The heartbeat — where transformation wins or fails.
 → AI control towers for value and governance
 → Cross-functional teams and shared assets

Here’s the part I found most interesting — and in my opinion, least discussed:

AI transformation doesn’t happen when you add technology.

It happens when you make technology disappear into workflows.

That’s the quiet shift.

The AI-first bank won’t look more digital.

It’ll look more human, because the intelligence is invisible — embedded in every decision, every interaction.
✅ The solution isn’t another pilot.
✅ It’s full-stack integration — from interface to infrastructure.
✅ It’s not about doing AI projects, but about becoming an AI system.

I think the next big question for banks isn’t “How much AI do we use?”

It’s “How seamlessly does our AI think across the organization?”

So here’s my question for you:

Are most banks building AI — or are they just buying smarter software?

#AI #Banking #DigitalTransformation #FutureOfFinance #Leadership #McKinsey

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Jeff Bezos Didn’t Just Return — In My Opinion, He’s Redefining What the AI Race Actually Means

I’ve been thinking about this all morning — and I believe this might be Bezos’ boldest move since Amazon.

He didn’t launch a chatbot.
He didn’t chase LLM hype.
He didn’t try to “out-OpenAI” OpenAI.

He’s going after something much bigger — the physical world itself.

Computers. Cars. Factories. Spacecraft.
The real, tangible world that powers everything else.

And in my opinion, that’s where the future of AI will be won.

It’s called Project Prometheus.
A new AI company.
Backed with $6.2 billion on day one.
And Bezos himself is co-leading it.

But here’s what I think truly matters:
This is AI stepping out of the cloud and into the concrete — out of screens and into systems.

Everyone keeps talking about “AI taking jobs.”

But I think that misses the real point.

For the first time in history, the builders of the digital world are becoming architects of the physical one.
Cloud → hardware
Software → machines
AI labs → factories
Tech CEOs → industrialists

And the convergence isn’t just Bezos.
Fei-Fei Li, often called the godmother of AI, began working on embodied, 3D-world systems a year ago.
Yann LeCun is reportedly preparing to leave Meta to build his own world-model-based AI venture.

In my opinion, that shows something bigger: the world’s top AI minds are quietly aligning around the same vision — AI that understands and acts within the real world.
➡️ The next decade won’t be defined by who trains the smartest models,
but by who commands AI that can act on the physical world.
Most people see this as Bezos vs. Musk vs. Zuck.

That’s the wrong narrative.

This isn’t a race for intelligence.
👉 It’s a race for physical autonomy.

The winner isn’t the one whose model “thinks” best —

It’s the one whose AI can:
→design machines
→test them
→manufacture them
→improve them — without minimal human input

If LLMs reshaped the digital world,
embodied AI will rebuild the physical one.

Factories, logistics networks, supply chains — they’ll all evolve into self-optimizing systems.

This isn’t just technological progress, its new economic operating system.

The solution? 

If AI is shifting from “thinking” to “building,” here’s what I think people and companies should do next:
1️⃣ Learn the real-world side of AI — robotics, sensors, and hardware integration will define the next decade.
2️⃣ Build systems literacy — understanding how digital intelligence connects with physical processes is the true competitive edge.
3️⃣ Move where AI meets atoms — manufacturing, energy, logistics, construction, healthcare hardware.
4️⃣ Founders: skip chatbots, build capabilities — workflows, robotics tools, and sensing systems will power the next wave of unicorns.

If AI begins to design and improve the physical world faster than humans can…

Do we stay the architects of progress —
or become the supervisors of a world built by machines?

#AI #JeffBezos #PrometheusAI #AIRevolution

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This Week's Agentic Breakthroughs:
1️⃣ McKinsey’s 2025 AI reality check
2️⃣ Fei-Fei Lis World Labs launches Marble
3️⃣ Deutsche Telekom bankrolls agentic AI: T.Capital backs Decagon as commercial pilot begins
4️⃣ Ashley pours $2B into 'Agentic AI' — furniture's next giant leap
5️⃣ Gen‑AI Agents Now Act Like Insiders — Your Data Is on the Line

Which of these agent breakthroughs excites or concerns you the most? Share your thoughts below 👇

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#agenticAI #aiagents #ai #artificialintelligence

Welcome to Agentic Intelligence—the first newsletter dedicated to AI agents and made by them! Behind each edition is a digital newsroom of seven exper

Open article: AGENTIC INTELLIGENCE Newsletter #30 by Pascal BORNET • 6 min read

This Week’s Top Breakthroughs You Can’t Miss:
1️⃣AI ‘godmother’ advocates for spatial intelligence
2️⃣ McKinsey’s 2025 AI reality check
3️⃣ Kimi K2 Thinking takes open-source to new level
4️⃣ ElevenLabs’ celeb AI voice licensing platform
5️⃣ OpenAI’s GPT 5.1 with new personality presets

Which of these AI developments inspires—or worries—you the most? Let’s discuss 👇

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#intelligentautomation #AI #ArtificialIntelligence #FutureOfWork #AInews #Automation #Productivity #VoiceAI #Superintelligence #Newsletter

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Open article: Intelligent Automation Newsletter #215 by Pascal BORNET • 5 min read

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