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

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

Accenture sees six trends that are rewriting banking’s future and contributing to “unconstrained banking,” where digital assets, new business models, and accelerated decision-making enable banks to do more than ever if they’re fast enough.

I give tremendous credit to Accenture for the best banking trends report I’ve seen so far this year!

Accenture backs up every trend with statistics that are designed to make even the most conservative banker sit bolt upright in panic.

Whether banks can move fast enough is the question, and Accenture’s advice on “what to do” is, on occasion, insipid and doesn’t do justice to the magnitude of the effort required. 

My take is that banks are in trouble. 

Banks are universally recognized as poor technology adopters, and virtually every one of these six requires banks to “move fast and break things.” 

When is the last time you saw a bank do that? 

While a few of these trends might be plausible for a bank to manage, it’s hard to imagine all but a few of the most tech-adroit running meaningful programs in all six! 

That leaves us with only digital money, agentic AI, and legacy tech as the three that banks will absolutely be forced to deal with in 2026. 

These six read like a death sentence for slow banks. 

Can they pull it off before running out of time?

👉 The Top Six

1️⃣ Dumb money gets smarter 
Adopting stablecoins, CBDC, and tokenized deposits.

2️⃣ Banking everywhere it matters 
GenAI assistants.

3️⃣ Agentic AI shatters traditional capacity barriers
Digital human-agent teams

4️⃣ The high cost of low cost 
Upgrade legacy tech.

5️⃣ Risk: Seeing the big picture beyond the pixels  
Integrated risk management. (Yawn, I read this every other year.) 

6️⃣ The battle for the balance sheet intensifies 
The very real threat from fintech, stablecoin, and private credit.


♻️Repost to share this great bank trends report
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The Top 6 Tech Bank Trends – If They Don't Run Out of Time

🚨 2025 Top 10 — No. 1 🚨 Mastering AI Agents: A comprehensive guide for evaluating AI agents

Want to learn how to build AI agents that tell the truth? Read on to learn more about 2025's hottest topic from a great e-book! 

👉Why this report is No. 1, and matters in 2026:

↳ Learning about AI Agents is your No. 1 priority in 2026!
↳ This eBook is a solid read for beginners and more advanced practitioners.
↳ Save this post for future reference.  What is stopping you from diving in?
↳ I'm back from holiday and writing NEW content tomorrow!!

From the author: 

"This e-book aims to be your go-to guide for all things AI agents. If you’re a leader looking to guide your company to build successful agentic applications, this e-book can serve as a great guide to get you started. 

We also explore approaches to measuring how well your AI agents perform, as well as common pitfalls you may encounter when designing, measuring, and improving them.

We hope this book will be a great stepping stone in your journey to build trustworthy agentic systems."

👉The book is divided into five chapters:

🔹 Chapter 1 introduces AI agents, their optimal applications, and scenarios where they might be excessive. It covers various agent types and includes three real-world use cases
to illustrate their potential.

🔹 Chapter 2 details three frameworks—LangGraph, Autogen, and CrewAI—with evaluation criteria to help choose the best fit. It ends with case studies of companies using these
frameworks for specific AI tasks.

🔹 Chapter 3 explores the evaluation of an AI agent through a step-by-step example of a finance research agent.

🔹 Chapter 4 explores how to measure agent performance across systems, task completion, quality control, and tool interaction, supported by five detailed use cases.

🔹 Chapter 5 addresses why many AI agents fail and offers practical solutions for successful AI deployment.

♻️Repost to share this important read on AI Agents
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Mastering AI Agents eBook

🚨 2025 Top 10 — No. 2 🚨  The Future of Mobile Banking: The Top 18 Trends for 2025

This is a page-turner and fun read that will help show you the killer features your mobile banking app should have now. 

👉Why this report is No. 2, and matters in 2026:

↳ The real examples in this report are a great way for banks to focus on what is possible in 2026!
↳ Banks need more than excuses when confronted with features that are real and available elsewhere. 
↳ What is stopping your bank from offering these cutting-edge features, and are any of them enough to make you switch? 

What makes this report such a page-turner is that it includes two real examples currently in production for each of the 18 trends. 

This report isn't about daydreaming about what we might have in the future, but rather demonstrates what we should have and can have if more banks cared about mobile users.

What bothers me most after reading this is that I'm paying several banks for their services, and the apps they force me to use are outdated junk! 

It isn't just me who feels that way, 69% of users think their bank app lags behind!

👉 Why mobile banking matters: 

🔹 3.8 billion users will rely on mobile banking in 2025.

🔹 62% of consumers use banking apps daily.

🔹 78% of users log on to banking apps at least once a week.

🔹 86% of users now prefer a single app to handle everything from managing loans and tracking expenses to booking travel and entertainment.

🔹 53% of consumers report that mobile banking increases their financial awareness. Younger generations, particularly Gen Z and Millennials, are leading adopters of features like credit monitoring, budgeting, and savings tools.

🔹 64% of consumers research a bank's tech offerings before committing to services.

Will reports like this make your bank act and update its app? 

♻️Repost to share this stunning report on what is possible in banking apps now! 
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The Future of Mobile Banking

🚨Top 2026 Trends, No. 3🚨: Tokenization will be big in 2026, JP Morgan recently launched its first tokenized money market fund (MMF), “MONY” on the public Ethereum blockchain in what is likely to be a model for others to follow. 

What makes this noteworthy is that JPM is the first of the largest systemically critical banks to issue tokenized funds, meaning more will follow. 

JPM follows asset managers BlackRock, Franklin Templeton, and Fidelity in issuing MMFs. 

MONY can be purchased only by institutional investors with USDC, and offers faster settlement times, around-the-clock trading, and real-time visibility into ownership.

↳ The trend is clear: the dollar has been tokenized through stablecoins, and assets will soon follow. 

↳Tokenization of “real world assets” (RWAs) has grown to $19 billion from $5 billion in a year, according to the more optimistic views of crypto proponent, RWA.xyz data.  

↳Estimates of the future potential of RWA tokenization range from McKinsey’s low of $2 trillion to “the sky is the limit.”  

What is clear is that this transition will not happen overnight, with the need to adapt tokenization to meet securities regulations being the most pressing issue.  

The Broadridge Tokenization Survey earlier this year showed how, among early tokenization adopters, 65% fear regulatory risk, and among future adopters rises to a lofty 78%. (below)

Tokenization also faces another problem in that it impacts the profits of investment banks, broker-dealers, and asset servicers. (below) 

No matter how good tokenization is from a technical perspective, expecting these institutions to welcome blowing up their existing business model is a stretch.

Still, the trend towards tokenization is inevitable, and while it might take longer than we want, it will become very real in 2026. 

♻️Repost to share this great read on tokenization!
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JPM Shows How Tokenization Is Going Mainstream in 2026

Quantum computers are coming — and within the next decade, they could break the public-key encryption (RSA, ECC) protecting bank transactions, crypto, and more.

Citigroup calls it a trillion-dollar threat — and they’re not exaggerating.

The real danger: “Q-Day” (when quantum breaks current crypto) and “Harvest Now, Decrypt Later” attacks — adversaries are already stealing encrypted data today for future decryption.

Long-shelf-life data is most at risk: SSNs, biometrics, medical records, IP, and blockchain-exposed crypto addresses (25% of Bitcoin, 65%+ of Ethereum vulnerable).

HNDL makes data leaked onto the dark web today, which may not make front-page news, damaging in the future. 

We’ve heard quantum warnings for years — but experts now flag the next 10 years as high-risk. 

The scale is so massive (economic, geopolitical, even ideological for crypto) that ignoring it is no longer an option.

NIST-approved post-quantum cryptography (PQC) is ready — but it demands huge industry migration.

Citi urges banks: inventory crypto exposure, prioritize critical systems, and start the long migration now.

The question: With AI already stressing institutions, will finance find the bandwidth for quantum readiness?

♻️Repost to share this great read on quantum
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The Trillion-Dollar Quantum Threat to Banks and Crypto 

Asian banks are making faster progress toward the use of agentic/multi-agent systems in operations than banks in the West, which are still focused on siloed pilots.

Leading Asian banks, the top 10% of AI users, are achieving 30-50% efficiency gains and 2-3x productivity uplifts through agentic AI, beating global peers. 

“Banks in Asia find themselves at an AI inflection point. They have a window of opportunity to pick up the pace of their transformations and to create distance from peers that may be slower to recognize and seize this moment.”

Asia’s banks are trying to widen the “AI-divide” with their competition to drive efficiency and increase revenue using AI. 

Why the focus on operations instead of sexy front-office use-cases?

↳ Approximately 75% of GenAI’s economic potential comes from just four functions, customer operations, marketing & sales, software engineering, and R&D. 

↳ End-to-end operations represent an estimated 60–70% of a bank’s overall cost base, making operational transformation through AI (especially agentic AI) the biggest potential value unlock in banking — far more disruptive than other functions

↳ McKinsey’s latest Global Banking Annual Review 2025 estimates that AI could bring gross reductions of 15 to 20% of a bank’s entire cost base

These gains will not be easily won due to regulatory complexity, legacy stacks, and institutional inertia that inhibit AI deployment. 

Another factor is that in parts of Asia, the cheaper cost of labor has historically prevented many banks from pursuing tech-enabled transformations of operations.

This is why Agentic AI, with its human-in-the-loop requirement, allows Asian banks’ larger teams, often deployed in repetitive, high-volume tasks, to be redeployed to higher-value work.

That said, Asia’s AI frontrunners, like DBS in Singapore with GenAI assistants, are pushing boundaries and showing the region’s banks significant improvements in frontline productivity, KYC/AML transformation, and end-to-end process redesign.

Asia’s banks are ripe for AI transformation, and their fast actions will likely make them models for the West to follow. 

♻️Repost to share how Asian banks are leading on AI!
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Asian Banks Lead Agentic AI Surge Compared to West

Deloitte sees five major trends in payments for 2026.  How many of the five do you think will make the cut?  

My take is that a few look strong, but always the skeptic, I can't see some of them going big in 2026.

The Five Trends:

1️⃣ Regulation meets innovation: Stablecoin enables seamless global payments

Stablecoins are still not fit for mass adoption. Banks need serious infrastructure changes for them to be used in wholesale or retail payments. And while some may argue that banks aren’t necessary for retail payments, the only way they will go mainstream is if banks are fully onboard. I agree that they'll be big in 2026 but not mainstream.  Note that I like how Deloitte acknowledges that on major transfer corridors, stablecoins offer little benefit.  

2️⃣ Mandates in motion: Speed is the new standard
  
Deloitte is correct, real-time payments are the future, but the US’s FedNow is late to the party and doesn’t deliver. FedNow payments are 100% bank controlled, unlike fast payment systems in Brazil, India, and China. It processed a mere $853B in 2025 compared to card’s $13T! I don’t expect FedNow to even dent cards in 2026. It would cost banks too much!  

3️⃣ Beyond compliance: Turning data standards into competitive advantage

ISO 20022 is great messaging tech and means that reports of SWIFT’s demise at the hands of stablecoins are way too premature. With global adoption, it will reduce the cost and time for cross-border payments at a time when stablecoins are vying to make their mark. It’s the tech behind FedNow, Singapore’s PayNow, and Australia’s NPP.   And it helps banks with AML/KYC.

4️⃣ Autonomous payments: Agentic AI is reshaping the role of humans in finance 

Yes, autonomous payments are coming, but I can’t square people outside of Silicon Valley using them with the US having one of the lower global scores in AI trust. Let’s face it, if Americans don’t trust AI, will they let it spend their money? I’m willing to be wrong on this, but tech is way ahead of citizens on this one.  Big in 2026?  I'm not buying it. 

5️⃣ AI vs. AI: AI-powered fraud meets real-time defenses

So ask yourself, who is more innovative, banks or criminals? This is why banks will always be a half-step behind the crooks. New tech will certainly help banks reduce losses and will bring the curve down, but this is a game without end, and banks will always be playing catch-up. 

👉Which Didn't Make the Cut?

By my standards, real-time payments with FedNow and autonomous payments don't yet make the cut!   

FedNow adoption is still low, and autonomous payments still have major trust hurdles to clear.  

So that's 2 out of 5 that I don't see going bigtime in 2026! 

Tell me why I'm wrong!

♻️Repost with your thoughts
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Five trends in payments: How many make the cut?

“Sovereign AI” has become a strategic imperative. Nations want to cut dependence on foreign tech, protect national interests, and stay competitive in the AI race.

But here’s the reality: AI is the new oil — no country can afford to ignore it. 

Yet full “build-it-yourself” sovereignty is a myth for most. The US and China already control ~65% of global AI investment.

Chips, LLMs, infrastructure — they come from somewhere. A rigid go-it-alone policy is unrealistic when the resources are concentrated in just two powers.

The WEF offers a smarter path: prioritize strategic control and resilience over total self-sufficiency. 

Quote from WEF:
“Success in the AI era will be determined not by isolation, but by strategic interdependence – balancing domestic investment in key AI infrastructure with international collaboration.”

↳ This pragmatic approach helps nations avoid being forced to pick sides between the US and China. 

↳ It wisely promotes interoperable systems to dodge vendor lock-in. Run Chinese models on US servers (or vice versa) if it makes sense. 

↳Use “digital embassies” for data sovereignty.

No country — not even the US or China — can own the entire AI value chain. 

The winners will control partnerships, focus on adoption, and stay ecosystem-agnostic.  

Nations like India, Singapore, and the UAE featured in the report have winning formulas. 

That’s how you capture AI’s economic value and close the gap between AI makers and AI takers.

What’s your take? Is full AI sovereignty realistic, or is smart interdependence the only viable path forward?

♻️Repost to share this great read on AI sovereignty
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Sovereign AI: Go It Alone Means Fall Behind

🚨Top 2026 Trends, No. 4:🚨 Strong AI Governance Will Become The Norm — But Only After a Meltdown Forces Companies to Act

AI Governance will become a hot-button issue in 2026 because a global brand will experience an AI meltdown, triggering bad headlines, an apology from the CEO, and public questions about governance.

No one should be surprised that AI governance will be a key trend for 2026 when it is on the evening news.  

The paradox is that IBM shows how governance is not a hindrance to AI deployment but an accelerant! 

IBM’s survey of 1,000 global senior business and technology leaders showed that:

↳executives credited more than a quarter (27%) of their efficiency gains to strong governance. 

↳companies that invest more in AI ethics report 34% higher profit from AI as well as faster launches and stronger security.

These results show that the common belief that AI governance impedes the development of AI or is a mere “check-the-box” compliance issue is simply false.

The problem, however, is that while IBM shows governance accelerates AI development, the majority of surveys show that companies are ill-prepared for managing AI:

↳ Less than 1% of Firms Build Responsible AI (Sept 2025)

↳ 72% of organizations using AI report that their CEO is not responsible for overseeing AI governance and that 83% of boards do NOT oversee AI governance. (March 2025)

↳ Only 23% of organizations surveyed said they were highly prepared for “GenAI Risk and Governance” (August 2025)

I expect 2026 to be the year when AI governance lands front and center in front of every major company.  

Sadly, it will take an epic meltdown and a global news event to do so. 

♻️Repost to share this important read on AI governance.
#Fintech, #AI, and Tech at the speed of Asia and China.

AI Governance Will Need a Meltdown to Be Taken Seriously

One in six people now uses AI daily, while 6.8 billion remain left behind in the widening global divide as global adoption of GenAI tools reached 16.3% of the world’s population, and the Global South falls further behind.

Microsoft’s latest report on AI diffusion confirms my call last week: the AI divide is the No. 1 trend for 2026. (see link below)

Microsoft’s “telemetry” shows that AI adoption in the Global North grew almost twice as fast as in the Global South, widening the gap from 9.8 to 10.6 percentage points. 

The AI gap is growing, and AI’s benefits are not expanding equally among nations, companies, and people.

↳ The world leaders are the UAE and Singapore, treat AI as a national priority with build-outs of digital infrastructure, regulatory assistance, and policies that integrate AI into daily life. 

↳ The US dropped from 23rd to 24th place, reflecting the fact that a smaller proportion of the US population uses AI compared to smaller nations.

↳ The US’s low adoption rate also tracks with AI trust; only 32% of Americans trust AI, compared to 67% in the UAE.

I’ve long argued that Chinese open-source models would bridge the gap for developing nations priced out of Silicon Valley subscriptions.

↳ Microsoft, agrees: “DeepSeek removed both financial and technical barriers that limit access to advanced AI.” 

↳ DeepSeek’s surge is most striking in Africa, where usage is estimated 2–4× higher than in other regions — reaching millions who otherwise would have zero access.

Simply put, if people cannot afford AI, they can’t use it! 

Whatever side of the geopolitical US-China divide you fall on, you have to give DeepSeek credit where it’s due: 

DeepSeek is delivering AI to the underserved.

Never forget that OpenAI was at its start designed to be open-source, and Sam Altman is clear that OpenAI is on the ‘wrong side of history.’ 

What do you think — will open-source AI narrow the divide, or will it widen further?


♻️Repost to share this great read on the AI-divide
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AI Divide: North-South Gap Widens – 6.8B Left Behind

Weekend Read:  300,000 voices across 20 countries show that people feel more stretched, less healthy, and less confident about the future than they did a few years ago.

This stunning report by Oliver Wyman is my best Weekend Read in ages, as it affects every one of us who feels stuck in a treadmill of "more striving, less thriving."

For fintech and AI lovers, go straight to Chapter 3, page 50 for the chapter on AI investing with some shocking revelations:

-In two years, the share of people using AI for investing has jumped by nearly a third, to 44%. 

-Those confident they can outperform advisers are nearly 50% likelier to use AI for investing and financial planning. 

-Even as AI use has climbed, interest in letting AI invest automatically has fallen from 41% to 32%. Most see the technology as a co-pilot, not an autopilot.

-65% of middle to high income earners say they "can get better returns on their own than with a financial adviser."

👉This report offers so much more than AI in investing. It covers the big trends that are making us feel worse, not better.  

It also shows how the forces below are all reinforcing one another and, frankly, making everyone miserable: 

↳ We value achieving, caring, and being healthy more — yet we feel worse. 

People report feeling 9% worse physically and mentally than a few years ago. The pattern is “more striving, less thriving.” 

↳We turn to community, each other, and AI when the health system falls short. 

Quality-of-life indicators are at record highs, but people report feeling worse mentally and physically than a few years ago. Yet the pursuit of stability resembles a perpetual sprint: Everyone is running harder just to stay where they are.

↳We want fulfillment at work, but we’re settling for less — and slowing organizations down. 

 Employees are delivering “just enough,” and quietly draining momentum.

↳We’ve stopped forgiving bad experiences as consumers. 

 “Very right” has become the baseline expectation: 64% will dump a brand after a single poor experience.

↳We dream of never needing a paycheck again. 

Financial independence is now the fastest-growing unmet need, rising to 41% from 32% in 2022. Pressure to “make money to feel successful” has nearly doubled (+80%). 

↳We are the last generation to work only with humans. 

Two-thirds of employees (67%) already interact with AI in “human-like” ways and 28% prefer an AI manager over a human one. 

↳We’re leading through constant disruption and a fractured workforce. 

 51% say leadership models are outdated, and the share citing “subpar leadership” as a top dissatisfaction has jumped nearly 60% since 2023. 

Kudos to principle author Ana Kreacic and team! 

♻️Repost to share this report that shows why we all feel the same stress!
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AI reshapes our world as more are striving not thriving

🚨Top 2026 Trends, No. 1🚨: AI Inequality and Why APAC Is the Ultimate AI Testing Ground 

While we accept that banks and companies will rise and fall based on their AI capabilities, do we accept that nations, too, will face a similar fate, rising and falling with access to AI, the new “oil” fueling growth? 

AI is the world’s next essential infrastructure, like power, roads, and schools, with big upsides and the ever-present risk of falling behind.  

That’s why it is No. 1 on the list for the Top Trends of 2026! 

Access to AI will be crucial, and APAC will be ground zero for AI implementation. 

Why APAC?  

APAC’s 200x gap between the richest and poorest nations will make it a key testing ground for AI.

AI will be abundant in rich nations, with a gap that can hopefully be closed by deliberate diffusion to poorer nations.  

Add to that reasonably good connectivity, high trust in AI, and a broad diversity from island nations to AI juggernauts like China, makes it a natural front in the battle against AI inequality. 

But here’s the wild card.

So far, the expectation from the West is that nations and peoples without AI access will simply sit it out and wait patiently as the “AI Race” passes them by.  

This is, at best, naive and, at worst, ignores the urgent needs of billions without access.

Developing nations, particularly those in APAC, with generally good connectivity, unlike those in Africa, will not sit it out on the sidelines.  

They won’t watch while AI helps to transform education, healthcare, and agricultural management for others.

They will reach out for AI wherever they find it, and this leads us inevitably to the geopolitical and philosophical battle between China and the US over open-source AI access.

China’s AI is generally open-source and available to all, while Silicon Valley’s subscription model, used to generate revenue for massive data center expansion, largely bypasses developing nations. 

Even Sam Altman believes OpenAI has been “on the wrong side of history” when it comes to open-sourcing its technologies. 

Putting people first by enabling women, men, and children in the most vulnerable or remote communities to be empowered by the best that human achievement has to offer through AI is unstoppable. 

How it plays out in APAC will be a key feature of 2026 that we should all watch carefully as the “Next Great Divergence” plays out.

♻️Repost to share this Top Trend for 2026!
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AI Inequality: APAC is the Ultimate Testing Ground

Weekend Read:  2026: The Year AI Transforms Jobs Forever – Supercharged, Displaced, Co-Piloted or Stalled?

The WEF looks at the biggest question facing society in 2026: the future of jobs as AI transforms and displaces them. 

The Four Potential Scenarios for jobs will be:

1️⃣ Supercharged Progress:
Exponential Al breakthroughs reshape industries, business models and workflows. Productivity soars and innovation flourishes. Widespread Al readiness allows people to harness the "agentic leap."  

2️⃣ The Age of Displacement: 
Exponential Al advancement outpaces the capacity of the workforce to adapt. Businesses race to automate as a stopgap, displacing workers faster than education and reskilling systems can respond.

3️⃣ Co-Pilot Economy: 
Gradual Al progress and availability of Al-ready skillsets shift the focus towards augmentation rather than mass automation. The Al hype of the 2020s has given way to pragmatic integration: most industries see incremental transformation as human-Al teams reshape value chains.

4️⃣ Stalled Progress: 
Steady Al progress meets a workforce lacking critical skills. Productivity growth is patchy, and businesses lean on automation to backfill scarce talent. Gains concentrate within businesses and geographies with Al expertise, while others face eroding competitiveness.

Read the “No-Regret” strategies to prepare for all of these potentialities on page 4!

Which of the four scenarios do you think will happen? 

My take?  The co-pilot economy mixed with stalling!  

I see the AI divide causing a big stall ahead. 

Am I too pessimistic?  

♻️Repost to share this great read on the future of jobs and AI!
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2026: The Year AI Transforms Jobs Forever — 4 Scenarios!

Deloitte's latest report reveals a massive shift: AI tokens are driving enterprise IT budgets up by 20%+, replacing predictable SaaS pricing with volatile, usage-based GenAI costs.

↳ AI is now the fastest-growing corporate tech expense — some firms report it consuming up to 50% of IT budgets.

↳ ROI is lagging badly: only 28% of finance leaders see clear value, and half expect 3+ years to break even.

↳ Token spend is unpredictable — scales with model complexity, prompt length, reasoning steps, and infrastructure costs (high-bandwidth memory, storage, electricity).

The only real cost control? Open-source AI models — free to use, self-hosted, with data sovereignty benefits.  

Running an "AI factory" with a mix of open-source and other models is the ultimate cost control for larger organizations.  

Linux Foundation: 89% of orgs already use open source in AI stacks; McKinsey: ~50%.

Watch as Silicon Valley’s trillion-dollar data center bet just got riskier if open source dominates.

Key takeaways for banking & fintech:

↳ Token usage explodes unpredictably — no more fixed seats
↳ Governance is lagging — shadow spend is real
↳ Budget shock incoming — controls are non-negotiable
↳ Winners act now: track tokens, optimize prompts, negotiate volumes, build budgets
↳ Open-source AI is essential for cost reduction

Token economics demand active financial discipline, just like cloud spend did 10 years ago, and a hard look at using open-source AI. 

Drop a comment — curious how you're navigating this shift.

♻️Repost to share this great read on AI tokens! 
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AI Tokens: The New Currency of Enterprise AI

The digital euro’s parliamentary approval is all but assured following Trump’s threat to EU sovereignty over Greenland, which reinforced the ECB’s consistent calls for the digital euro to bring “monetary sovereignty” to the EU.  

A few days ago, ECB Executive Board member Piero Cipollone stated the crux of the problem, pointing out that US companies like Visa, Mastercard, and PayPal own “critical parts” of the global financial infrastructure and “can theoretically pull the plug on us.”

Comments like Cipollone’s may sound alarmist at first glance, but real-world events show his concerns are far from unfounded.

Nicolas Guillou is a French judge at the ICC in The Hague, and is now under U.S. sanctions for authorizing arrest warrants against Prime Minister Netanyahu and former defence minister Gallant for war crimes in Gaza.

As a result of these sanctions, he can no longer use Visa, Mastercard, or Amex, maintain normal EU-based banking services, or use digital accounts or services with US companies.  

While Guillou’s case may be extreme, and readers may fall on different sides of his decision, it shows the need for EU monetary sovereignty in cases where the US and EU do not see eye to eye. 

Reports from late 2025 suggesting that the digital euro would face difficulty in the EU Parliament now seem like ancient history, and a vote is scheduled for May 5, with Germany announcing its backing of the project yesterday.

Bolstering the case for a digital euro are more than 60 economists who are imploring EU parliamentarians to back the digital euro, warning the Eurozone would “lose control of the most fundamental element in our economy: our money,” to US payment providers.  

The economists, including famed French academic Thomas Piketty, state: “A strong public digital euro is not a nice-to-have, it is an essential safeguard of European sovereignty, stability and resilience.” 

They are right, and after Trump’s Greenland threat and US sanctions, rejecting the digital euro would now be politically unthinkable. 

♻️Repost to share the love for the digital euro.
#Fintech, #AI, and Tech at the speed of Asia and China.

Digital Euro: Visa and MC Can "Pull the Plug" on the EU

Boldly declaring that “the future is onchain” Dfns and BCG turn back the clock to blockchain’s boom year of 2017, where ICOs ruled, and blockchain was the solution to every problem.  

Let me state from the beginning that blockchain is great tech and that it has an important future in banking, payments, and securities.  

Even the ever-so-staid New York Stock Exchange is tokenizing securities following the US dollar going on-chain with stablecoins.

So yes, institutional adoption of blockchain will be big in 2026, and it is very much a “transformational” technology. 

That said, it is a stretch to say that crypto, which the paper innocently refers to as “blockchain native” firms, will:  

1) Disrupt tradfi if they don’t transition to “on-chain banks” or,

2) Provide the tech to rebuild a bank’s tech stack.

Crypto firms still have a long way to go in the trust department before they replace incumbents.   

Similarly, their ability to rebuild a bank's admittedly ancient core systems is seriously in doubt. 

The paper suggests that blockchain tech is unto itself, sufficient for crypto firms to overcome the tremendous societal momentum banks have in their favor. 

This is wishful thinking, especially given crypto’s checkered history and lack of integration into people’s daily lives.  

Has anyone you know used BTC or stablecoins to buy groceries or a car recently?  

I don’t doubt that we will be using stablecoins sometime soon, and banks will adapt; they have no choice. 

But this notion that they must go on-chain or die off is out of 2017, when articles were actually written stating that blockchain may help cure cancer.  

Can I interest you in an ICO?

Banks Must Go On-Chain or Die: The 2017 Boom is Back

Weekend Read: Mambu's "Predictions Report" is a great read that is both easy to skim and thought-provoking as financial services are being "radically rewritten." 

What makes this report such a great read is the inclusion of quotes from industry practitioners in every chapter.  

If you read nothing else, go straight to page 15 for the excellent and rare coverage of Islamic finance.  

"By 2026, Islamic finance will no longer be seen as a niche alternative but as a blueprint for ethical, inclusive and technology-driven banking worldwide." 

Other noteworthy chapters:  Pg 18, "The Transformation in Banking" and Pg 32, "Gen Z, Gen Alpha, the Future of Finance." 

👉Seven topics will define the next chapter of financial services in 2026.

↳ Al and the financial revolution
Artificial intelligence has reached a new frontier of capability

↳Compliance, regulation, and cybersecurity
As innovation accelerates, trust has become one of the most valuable assets in financial services

↳Islamic finance
A principles-led model of finance is taking shape in the digital-first world

↳Transformation in banking
Banking is no longer defined by balance sheets and branches, but by the technology that connects them

↳Payment innovation and Embedded Finance
Payments are disappearing into the background of daily life

↳Crypto and blockchain
Blockchain has moved beyond experimentation to become part of modern finance's digital infrastructure

↳Gen Z, Gen Alpha, and the future of finance 
Every generation reshapes how people live, connect, and create value

What is Mambu missing, if anything?  

♻️Repost this great banking trends report, especially if you're among the 97.6% of LinkedIn users who don't post.  How can you go wrong with this one? 

#Fintech, #AI, and Tech at the speed of Asia and China.

Read How FinServ is Being "Radically Rewritten" 

The quantum threat is a trillion-dollar risk that could break every bank & crypto wallet in a decade as nationalism and insularity impact AI sovereignty and fintech's global aspirations.

If you’re reading this newsletter, I’m sure you are as “alert and attentive” as are the “syndics” of the “drapers guild” in Rembrandt’s famous painting below! 

This week's headline article is all about the quantum threat to finance and crypto. We’ve covered this topic before, but with advances in quantum computing, the threat is getting more real by the day.  

The good news is that standards for quantum-proofing systems exist, so banks and payment companies aren’t being asked to invent the technology, just apply it.  

Application, however, is still a monumental effort in that they need to audit their systems and manage a coordinated roll-out of new quantum-proof tech with other industry participants.

Add quantum to banks’ AI transformation, and it’s not an overstatement to say that they are seriously “burdened!” 

Which leads us to Accenture’s report on the top 6 tech trends for banks in 2026. I give tremendous credit to Accenture for one of the best reports of its kind.  

I just said that banks are “burdened,” and after reading this, you’ll see how heavy the burden on their shoulders is. I seriously doubt that most banks have the tech bandwidth to move fast enough on all of these efforts. 

Who could miss this week’s Davos Forum?  I have two reports that are straight out of Davos that focus on the impact of nationalism and insularity on Sovereign AI and fintech.

This is a real issue for neobanks Revolut, Nubank, and bunq (no capital B), all of which aspire to launch in the challenging US market.  

Deutsche Bank analysts declare that the AI honeymoon is over and that profits need to flow in 2026!  

This is a great read that confirms my constant warnings in this newsletter that while AI is transformational tech, it will take longer to implement than advertised. 

Finally, we look at Mambu’s top predictions for banking, look at the sections on Islamic Finance and Gen Z. 

♻️Repost to share these great reads on quantum and AI sovereignty.
#Fintech, #AI, and Tech at the speed of Asia and China.

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: The Quantum Threat: Trillion-Dollar Risk That Could Break Every Bank & Crypto Wallet in a Decade by Richard Turrin • 5 min read

The Quantum Threat: Trillion-Dollar Risk That Could Break Every Bank & Crypto Wallet in a Decade

🚨Top 2026 Trends, No. 5:🚨 Digital Public Infrastructure Goes Global — Powered by Payments Success in India, Brazil, and China

Digital public infrastructure (DPI) is one of the most important trends in payments, with strong success in India and Brazil, making the rest of the world pay attention. 

DPI is a trend that cannot be ignored, and before readers say, it won’t happen in the West, I point to the digital euro, which is a model of DPI development. 

The digital euro proves that DPI is not solely the domain of developing countries but is every bit as relevant for advanced economies. 

Brazil’s UPI and India’s PIX together account for nearly two-thirds of global instant payment transactions and are models of how universal instant payments are an engine for economic growth.

China’s WeChat and Alipay also proved the economic value of universal instant payments, and while not strictly speaking DPI, the state-owned Union Pay network, initially used to carry their payments, is in spirit. 

As DPI, all of these payment systems are universally available and the cornerstone of financial inclusion, economic growth, and fintech innovation. 

Whether UPI, PIX, WeChat, or Alipay, all of these systems reduce onboarding time and provide instant, secure, and nearly cost-free payments, saving time and money for quite literally billions of users. 

DPI is a trend that won’t go away, and I expect more nations, particularly those in the global south, to take note and press forward with DPI payments. 

By the way of all of the top trends lists I've seen this year, I'm the only one covering DPI!   Check back in 2027!!

♻️Repost to share this important read on DPI
#Fintech, #AI, and Tech at the speed of Asia and China.

DPI is going global and not just for developing nations 

Deutsche Bank boldly says that the AI honeymoon is over in 2026, ending with disillusionment, dislocation, and distrust

According to the bank's tech analysts, this will be a tough year for AI, as it will have to prove its value to keep the money flowing. 

Deutsche's prognosis is not good, and the report’s opening line sets the tone for disillusionment in 2026:  

“Generative AI will be transformative, but not right now. As pilots move into production, enterprise users are confronting inherent limitations such as accuracy; the difficulty of applying it in unpredictable real life; and the fact that in many areas it will be a long time, if ever, before it is more economical than human labour.”

👉Three themes are converging:

1️⃣ Disillusionment: Beauty is in the eye of the AI beholder

↳ Rapid tech improvements (e.g., coding) are more visible in Silicon Valley than to CEOs demanding real revenue or operational impact.

↳ Most companies lack integration capacity, high-quality data, controls, employee buy-in, and client acceptance for meaningful use.

↳ Agentic AI rollouts are far more complex than providing chatbots or copilots — workflows don’t integrate easily.

↳ The “trough of disillusionment” is here: hype fades, ROI disappoints, and scaling proves harder than promised.

2️⃣ Dislocation: AI of the storm

↳ 2026 brings bottlenecks, grid constraints, and severe talent scarcity — AI’s supply chain is the most complex in history.

↳ Hyperscalers keep investing heavily, and outside the US, sovereign AI pushes demand in the Middle East, Europe, and beyond.

↳ Investors will soon demand returns — 2026 could be make-or-break for standalone AI model makers.

↳ OpenAI faces extreme cash burn ($9B last year, ~$17B this year) with only a fraction of 800M weekly users paying — marginal costs keep rising.

3️⃣ Distrust: AI can’t get no satisfaction

↳ Anxiety escalates into lawsuits over copyright, privacy, data-centre impacts, and chatbot risks to young people.

↳ Scare stories and misuse examples will dominate headlines, amplifying public fears.

↳ Job displacement concerns intensify — credible studies show early evidence (e.g., 16% relative employment drop for recent graduates in AI-impacted roles).

↳ Fears of a US-China AI race grow, with China leading in cheap, open-source models (e.g., DeepSeek) that appeal to cost-sensitive, non-aligned countries.

Is it really that bad, or are these analysts looking at a glass as half empty rather than half full? 

♻️Repost to share AI's big challenge in 2026
#Fintech, #AI, and Tech at the speed of Asia and China.

AI in 2026: Disillusionment, Dislocation, Distrust 

Deep Tech Diplomacy I AI Ethics Advocacy I Digital Strategist I Futurist I Quantum-Digital Twins-Blockchain I Innovation Ecosystems I UN G20 EU WEF I Precision Health Expert I Forbes I Board Advisor I Investor ISpeaker

Prof. Dr. Vasiliu-Feltes ®© is distinguished global thought leader and esteemed academic, whose profound contributions span a multitude of disciplines and sectors. An alumna of Columbia University, MIT, Stanford, Harvard and UM, she has leveraged her elite educational background to drive significant advancements in her field. As a Deep Tech and Diplomacy Ambassador for the Diplomatic World Institute and a World Peace Ambassador to UNPAF, Prof. Dr. Vasiliu-Feltes has dedicated her career to fostering responsible, sustainable, regenerative deep tech ecosystems. Her work aligns with the core values and objectives of the United Nations, G20, G7, WEF, EU, UNESCO.

A visionary and globalist who is renowned for her futuristic insights and for building decentralized, quantum-proof, cyber-ethics resilient, regenerative innovation ecosystems. Her passion for challenging the status quo has made her a pivotal figure in driving smart cities developments.

With a keen interest in quantum technologies, digital twins, AI, blockchain, BCIs, satellite technologies, 6G networks she is a leading advocate for the integration of emerging and frontier technological solutions to address complex global challenges and preserve tech sovereignty. She advances deep tech investments, advocating for rigorous governance, and proactive risk mitigation.

She held numerous executive leadership roles spanning academia, business, and the nonprofit sector, demonstrating her versatile and impactful leadership across various sectors. A prolific editor and author, whose role as a media and TV partner further amplifies her influence, reaching diverse audiences worldwide.

As a highly sought-after keynote speaker, she captivates audiences with her profound knowledge and compelling vision for the future. Her advisory roles on various boards and C-suites reflect her strategic acumen and ability to guide organizations in revising their deep tech digital strategy and responsible orchestration. Her insights and guidance ensure that businesses stay at the forefront of technological innovation while adhering to responsible and sustainable practices.

She remains dedicated to academic excellence as university faculty, while also serving as Vice Rector at the WBAF Business School, advancing global entrepreneurship education.

Her unwavering commitment and multifaceted expertise make her an invaluable asset to the global community, consistently advancing the frontiers of knowledge.
Visit her personal webpage at https://www.profdringridvasiliufeltes.com/

Prof. Dr. Ingrid Vasiliu-Feltes

OpenEvidence, the #AI startup often dubbed the “ChatGPT for doctors,” has now achieved a landmark valuation of $12 billion after raising $250 million in a Series D round co-led by Thrive Capital and DST Global. This funding doubled its valuation from $6 billion just three months earlier (October 2025) and brought total capital raised in the past year to nearly $700 million. Backers include GV (Google Ventures), NVIDIA, Kleiner Perkins, and the Mayo Clinic, underscoring intense investor enthusiasm for specialized #healthcare #AI.

Founded in 2022 by Daniel Nadler (former Kensho Technologies founder) and Zachary Ziegler, OpenEvidence delivers an AI-powered search tool trained exclusively on high-quality medical journals, guidelines, and trusted sources like the New England Journal of Medicine (NEJM Group), JAMA, and the American Medical Association (AMA). By avoiding open internet data, it minimizes the risk of hallucinations and ensures evidence-based responses. The platform is free for verified clinicians (via national provider identifiers) and monetizes through targeted advertising. 
It now supports millions of clinical consultations monthly—over 18 million in the U.S. in December 2025 alone—with annualized revenue exceeding $100–150 million. Remarkably, more than 40% of U.S. physicians use it daily across thousands of hospitals, spanning primary care, specialists, hospitalists, and rural practitioners.

This rapid ascent—from unicorn status in early 2025 to $12 billion—highlights surging confidence in AI that delivers immediate value at the point of care.

For decades, traditional healthcare informatics solutions have battled poor clinician adoption despite mandates from policies like the HITECH Act. These systems demanded extensive training, rigid workflows, incentives, penalties, and compliance, yet they fueled clinician burnout. Adoption was top-down and enforced, not organic, breeding resistance and inefficiency. In stark contrast, AI-driven innovators like OpenEvidence achieve massive, rapid adoption without mandates, penalties, lengthy training, or forced integration. OpenEvidence spread virally through word of mouth. This bottom-up, clinician-centric model has created authentic scale.

#health #healthcare #healthtech #medtech #biotech #pharma #innovation #transformation #investing #medicine #publishing #future 

Image: Courtesy of Forbes

Prof Dr Ingrid Vasiliu-Feltes

Quantum-AI Governance Expert I Deep Tech Diplomate & Investor & Tech Sovereignty Architect I Innovation Ecosystem Founder I Strategist I Cyber-Ethicist I Futurist I Board Chair & Advisor I Editor I Vice-Rector I Speaker

The UN Trade and Development (UNCTAD) report "World Economic Situation and Prospects 2026" assesses a global economy navigating resilience amid persistent structural stress. Global growth is projected to remain subdued—around 2.7–2.9 per cent through 2027—well below pre-pandemic averages, constrained by elevated policy uncertainty, high public #debt, and weakening multilateral cooperation. Inflation has eased from recent peaks, yet price levels remain high, continuing to erode real incomes and disproportionately burden low-income households, women, and vulnerable populations. Developing economies face particular strain from limited fiscal space, declining official development assistance, and rising climate-related shocks, leaving progress toward the Sustainable Development Goals ( #SDGs) uneven and off track.

Geopolitical fragmentation, #trade tensions, and strategic rivalries are reshaping global trade and investment patterns. While global trade proved resilient in 2025, momentum is expected to soften as tariff effects persist and uncertainty weighs on confidence. Investment remains muted worldwide, with gains concentrated in a few advanced economies, particularly in artificial intelligence (#AI) and clean #energy, exacerbating cross-country divergences. Competition for critical #minerals, rising #military expenditure, and #climate pressures further intensify economic and social vulnerabilities.

Regionally, growth prospects diverge. Africa is projected to see modest growth improvements, but elevated debt, inflation, and limited diversification continue to constrain development. Least developed countries, landlocked developing countries, and small island developing States remain especially exposed to external shocks.
Other outlook reports published by the International Monetary Fund, The World Bank, European Central Bank, and other major financial institutions are modestly more optimistic but converge on elevated #risk. The IMF projects global growth around 3.2–3.3%, supported by easing inflation and AI-driven investment, yet warns of fragmentation and debt vulnerabilities. The World Bank emphasizes persistent divergence, noting that growth in developing economies remains insufficient to accelerate poverty reduction. The European Central Bank (ECB) foresees weak but stabilizing growth in the euro area, constrained by structural competitiveness challenges despite gradual monetary easing. J.P. Morgan and Goldman Sachs anticipate resilient—but uneven—growth, highlighting geopolitical risk, trade tensions, and fiscal constraints as dominant downside factors.

#economy #trade #tariffs #finance #banking #investments #debt #defense #technology #strategy

The Economist’s annual “World Ahead 2026” outlook outlines expectations for geopolitical, economic, technological, and social developments shaping the year ahead. The analysis highlights intensifying geopolitical competition, with a fractured global order and potential tensions among major powers influencing diplomacy, trade, and security. Ongoing conflicts in certain regions of the world are anticipated to persist, contributing to uncertainty in international relations. Economic themes include concerns about #investment ecosystem stressors, #inflation pressures, and the uneven recovery paths of major economies, particularly amid elevated #tariffs and shifting fiscal policies.

Technological #innovation remains a key driver of change; advances in #artificialintelligence are expected to reshape industries and labor markets, while raising questions about regulation and societal impact. 

#Climate change and environmental policy are also prominent, as nations balance clean-#energy #investments with economic growth objectives.

While all the themes outlined for 2026 are compelling, one stands out as atypical for this type of annual publication: the rise of weight-loss drugs. 
In my view, their ultra-rapid adoption reflects the growing power of #lifesciences and #pharmaceutical #industry in shaping global society. This prominence also has profound societal and ethical implications.
The rise of these innovative pharma compounds exposes a stark global paradox. Today, over 150 out of 195 countries continue to grapple with poverty, food insecurity, or malnutrition, while hundreds of millions of people face chronic hunger. In parallel, affluent societies increasingly deploy advanced pharmaceuticals to address excess consumption and metabolic disease.
This contrast raises urgent ethical questions about global equity, access, and priorities. Weight-loss therapies—projected to generate $100–150 billion annually by 2030—symbolize both scientific progress and systemic imbalance. As the health care ecosystem pivots toward prevention, wellness, and longevity, as outlined by the World Health Organization's strategic roadmap and aligned with the United Nations #SDG3 indicators, the challenge is not only to innovate but also to ensure that scientific advancement aligns with #global #equitable #health. 
Healthcare diplomacy must confront this paradox by aligning biomedical innovation with global #equity. It should bridge excess and scarcity, ensuring that advances in longevity and wellness coexist with commitments to food security, access to care, and the ethical distribution of health resources worldwide.
#strategy #governance #health #welllness #longevity #healthtech #pharma #medtech #biotech #society #humanity #future #leadership

The recent article published in Nature by Žiga Avsec and colleagues at Google DeepMind underscores the impact that the latest #genomics advances have on the #lifesciences ecosystem.

Genetic variation plays a fundamental role in shaping biological processes and contributes significantly to disease susceptibility. However, accurately characterizing the functional consequences of #DNA sequence variation remains a major scientific challenge, particularly because approximately 98% of human genetic variants occur in non-coding regions of the genome. These regions, while not translated into proteins, exert critical regulatory control over gene expression, chromatin structure, and cellular function.

Recent advances in deep-learning–based genomics have demonstrated substantial promise in addressing this challenge, yet most existing models are constrained by an inherent trade-off between the length of input DNA sequence they can process and the resolution of their predictions. In this manuscript, the authors introduce how Alphagenome Inc, a unified deep-learning model, can overcome these limitations. It can analyze DNA sequences spanning up to one million base pairs and deliver high-resolution predictions across a broad spectrum of genomic features.

The authors suggest that AlphaGenome represents a significant step toward systematically interpreting non-coding variation, with potential applications in elucidating the genetic basis of disease, informing synthetic DNA design, and advancing fundamental understanding of genome regulation

In my opinion, this article illustrates that we are at a critical inflection point for #precisionhealth and #personalizedmedicine, as the ability to accurately decode regulatory genomic variation at scale enables more individualized, predictive, and preventive approaches to disease management. 

However, the deployment of such powerful genomic #AI systems also introduces profound accountability imperatives. The scale, sensitivity, and longitudinal value of genomic data demand robust #data #governance frameworks, advanced #cyber-#ethics safeguards, and #privacy-preserving architectures by design.  

Given the sensitivity and societal impact of genomic data, equitable access must also be embedded from inception. In line with the DUBAI FUTURE FOUNDATION’s foresight-driven governance approach, #quantum-resilient security architectures are essential to safeguard genomic infrastructures against future cryptographic threats and to sustain public #trust in innovative #healthcare #ecosystems.

The Wall Street Journal’s home away from home—and yours—in #Davos.

Amid renewed geopolitical tensions, accelerating advances in artificial intelligence, and persistent economic uncertainty, The Wall Street Journal's 
signature Journal House event at the World Economic Forum 2026 will convene influential leaders from #business, #finance, #technology to examine how #global #ecosystems can adapt to a rapidly shifting world order. The program is designed as a forum for high-level dialogue on #resilience, #governance, and #strategy at a moment when traditional economic and political assumptions are being tested.

As nations confront economic realignment, supply-chain fragility, and mounting security risks, discussions will explore how #innovation can be responsibly advanced alongside effective regulation—particularly in the domain of #AI. Sessions will probe the evolving relationship between frontier technologies and public trust, addressing how regulatory frameworks can safeguard societal interests without stifling scientific progress or competitiveness. In parallel, the agenda will focus on pathways for sustainable growth amid resource scarcity, climate pressures, and demographic change, emphasizing long-term value creation over short-term optimization.

International cooperation will emerge as a central theme, with conversations highlighting the role of cross-border collaboration in mitigating geopolitical risk, enhancing economic stability, and strengthening collective security. Journal House aims to bridge perspectives across sectors, recognizing that today’s challenges demand integrated solutions that cut across policy silos and industry boundaries.

Key speakers include Jeremy Allaire, who will bring insights from the evolving digital finance and payments ecosystem; Dario Amodei, offering a frontier AI perspective on safety, governance, and scale; Albert Bourla, addressing resilience, innovation, and global health from a life sciences lens; and Zak Brown, contributing views on #leadership, #performance, and innovation under extreme competitive pressure. Together, these voices will frame a multidimensional conversation on navigating uncertainty and shaping a more adaptive global #future.

#economy #society #publishing #media #editor #journalism #influencer

The Global Investment Trends Monitor, No. 50 published by UN Trade and Development (UNCTAD)  reports that global foreign direct investment (#FDI) increased by an estimated 14 percent in 2025 to approximately USD 1.6 trillion. 

While this headline growth suggests a rebound after two subdued years, the report emphasizes that the recovery remains structurally weak and uneven. 

A substantial share of the increase reflects financial flows routed through #global financial centres, rather than new productive investment. When these conduit flows are excluded, underlying FDI growth is estimated at only around 5 percent, highlighting persistent investor caution.

Key indicators of long-term #investment confidence continued to deteriorate. The value of cross-border mergers and acquisitions declined, international project #finance fell for a fourth consecutive year, and the number of greenfield investment announcements dropped, pointing to reduced momentum in the creation of new productive capacity. These trends signal that global investment remains constrained by heightened uncertainty, tighter financing conditions, and geopolitical fragmentation.

The report identifies deepening geographic disparities in investment flows. 

FDI to developed economies rose sharply—by more than 40 percent— driven largely by Europe and major financial hubs. In contrast, FDI to developing economies declined modestly, and approximately three-quarters of least developed countries experienced stagnant or falling inflows, reinforcing long-standing structural inequities in access to international capital.

Sectorally, investment is becoming increasingly concentrated in capital-intensive, #technology-driven activities, particularly #datacentres and #semiconductor manufacturing, reflecting accelerating demand for #digital #infrastructure and #artificialintelligence capabilities. Meanwhile, investment in infrastructure and renewable #energy weakened further, raising concerns for countries that rely heavily on foreign capital to finance climate mitigation, energy transition, and sustainable development objectives. Although domestic investment partially offset this decline in some markets, it did not fully compensate for reduced foreign participation.

Looking ahead, United Nations Conference on Trade and Development projects a highly uncertain outlook for 2026. While modest growth in FDI is possible if financing conditions ease, persistent geopolitical tensions, policy uncertainty, and economic fragmentation continue to pose significant risks to inclusive, development-oriented investment.

#economy #trade #investments #strategy #ecosystem #future #finance #fintech

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