Finance
Blockchain: The Operating System For Global Finance
Block chain network technology
Blockchain infrastructure ↔ Traditional finance
Digital assets ↔ Real-world usage
Startups and protocols ↔ Institutional systems
In November 2024, while crypto headlines fixated on volatility, the European Investment Bank (EIB) issued a €100 million digital bond on HSBC’s Orion platform—settling the same day using wholesale central bank digital currency (wCBDC) tokens issued by the Banque de France. Days later, Goldman Sachs announced plans to spin out its GS DAP® blockchain platform into an industry-owned utility. Neither event made headlines, yet both signal a profound shift in global finance. These aren’t innovation lab pilots—they’re strategic moves by financial titans rebuilding the core infrastructure powering traditional finance. Blockchain isn’t disrupting Wall Street; it’s becoming its operating system. While headlines obsess over Bitcoin, the real shift is happening quietly. Institutions are laying tracks beneath the surface—moving trillions, settling trades, and weaving decentralization into the foundations of financial infrastructure.
This is about the mechanics of how money moves—legacy systems controlled by intermediaries, burdened by high costs and delays, or blockchain rails enabling direct, peer-to-peer, atomic settlement. By embedding itself into the plumbing of global finance, blockchain is rewiring the system from within—driving the most significant transformation since electronic trading replaced floor brokers. Just as cloud computing became the invisible backbone of digital ecosystems, blockchain is rapidly becoming the core of global finance.
That transformation is already shaping tomorrow’s winners and losers. Whether you’re investing, leading a company, or building financial products, understanding the ecosystem is essential to smart decision-making. It comes down to grasping how these once-separate worlds are converging—and recognizing the key players making it all work. This isn’t theoretical. It’s actively reshaping competitive dynamics, creating new opportunities, and rendering old models obsolete.
The Institutional Shift: From Resistance to Adoption
Once dismissed as speculative, blockchain is now a strategic priority for institutions like JPMorgan, BlackRock, and Goldman Sachs. Blockchain is quietly reengineering a financial system that supports more than $100 trillion in global capital markets and moves trillions daily. The shift has been deliberate and strategic—years in the making, but now rapidly gaining traction. What was once seen as a fringe experiment is now deeply embedded in traditional financial infrastructure. Institutions are embracing blockchain not for speculation but for cost savings through improved efficiency—streamlining operations, eliminating intermediaries through peer-to-peer (P2P) transactions, and enabling atomic settlement. JPMorgan moves trillions via JPM Coin. BlackRock issues Bitcoin ETFs and integrates blockchain into its $10 trillion portfolio infrastructure. Goldman Sachs, once cautious, is now leaning in—expanding its digital assets desk and signaling that blockchain isn’t a side bet; it’s part of the long game. And rather than being sidelined, Visa and Mastercard are weaving blockchain into their payment systems—Visa alone processed billions of dollars in crypto transactions in 2024. This isn’t capitulation—it’s evolution. These giants are using blockchain to streamline systems, improve liquidity, and boost transparency.
Still, some of the most transformative innovations are coming from agile startups—solving inefficiencies in payments, trading, and consumer incentives. The companies mentioned illustrate broader trends, not endorsements or prescribed winners. They offer a glimpse into a larger shift—one driven by thousands of startups, protocols, and infrastructure providers reshaping the foundation of global finance.
The Modular Architecture of the New Financial Stack
Unlike traditional finance’s siloed systems, blockchain is built for composability—where financial applications plug into one another like Lego bricks, driving rapid innovation and more connected services. This modular architecture enables developers to stack functions—trading, lending, staking, identity, settlement—into seamless user experiences. It’s most visible in DeFi, where protocols like Aave, Uniswap, and Lido integrate natively, accelerating innovation without the friction of closed systems. But composability extends beyond DeFi. As tokenized assets, on-chain identity, and payment networks evolve, the same plug-and-play architecture is beginning to reshape how institutions build and deploy financial products and infrastructure.
Composability doesn’t just speed up product cycles—it unlocks entirely new value chains. A lending app can tap into yield protocols or tokenized collateral instantly—without the bottlenecks of backend integrations or clearinghouse approvals. In this emerging financial stack, the winners aren’t just fast—they’re interoperable.
Concept of mobile payments. Wallet connected with mobile phone.
Crypto’s Payment Bridge
The structural limitations of crypto as a medium of real-world payment have long hindered its adoption. Digital assets remained siloed in wallets and exchanges, cut off from everyday financial systems. But that barrier is starting to break down—not by replacing payment giants, but by building infrastructure that bridges the two worlds. In fact, payment giants like Mastercard and Visa have accelerator programs focused on integrating targeted crypto solutions that can plug into existing systems, creating corridors between traditional and decentralized financial systems.
Hong Kong-based Aurum exemplifies this approach, enabling users to fund accounts with USDT and spend in local currencies. Its ecosystem offers bots, payment cards, staking, NFT licenses, and a Web3 wallet with low fees and cashback rewards. With $12M in funding, Aurum delivers institutional-grade trading and payment infrastructure powered by advanced AI, complementing traditional financial networks. Former Binance executive Bryan Benson now leads Aurum Exchange, bringing expertise in scaling crypto platforms across emerging markets.
The endgame? A world where crypto wallets function seamlessly with traditional payment systems, making digital assets as spendable as cash—without friction.
Trading’s Transparency Upgrade
For decades, financial markets have been plagued by opacity, insider advantages, and inefficiencies. The blockchain era is changing that dynamic. Institutions like State Street ($43T AUM) and BNY Mellon ($46.7T in assets under custody), with their extensive trading operations and market influence, are already implementing blockchain-based trade settlement solutions, ensuring real-time transaction verification and eliminating counterparty risks.
In the retail trading landscape, Spotware’s cTrader stands as a notable example of transparency while delivering sophisticated trading infrastructure. Built on its Traders First™ principles, cTrader aims to establish high standards for fairness, transparency, and security—tackling long-standing industry challenges and helping to level the playing field for all participants. The platform’s technology handles millions of transactions daily, connecting over 8 million traders and more than 250 brokers and prop firms to global markets.
Specialized infrastructure providers power this shift—the hidden backbone behind evolving trading systems. These providers don’t serve end users directly—they power those who do, underpinning the next generation of financial infrastructure. Fireblocks secures over $4 trillion in digital assets for institutions, ensuring transparent custody and seamless settlement. Chainlink delivers tamper-proof price data to more than 1,900 projects, forming the foundation of reliable price discovery. Circle’s USDC moves across exchanges, wallets, and payment systems, enabling instant, transparent fund transfers. Together, these firms are becoming the “essential middleware” layer of global finance—quietly powering billions in daily activity.
Beyond efficiency, blockchain is redefining who gets to participate in wealth creation.
Democratized Investment: Blockchain’s Bridge to Real-World Assets
Blockchain’s most powerful shift may be this: turning real-world value into liquid, on-chain capital—making static assets move, trade, and work for more people than ever before.
Tokenization is fast becoming the gateway to unlocking trillions in dormant capital. By converting assets like treasury bills, real estate, and private credit into blockchain-based tokens, platforms are transforming illiquid markets into accessible, tradable units. The impact? Fractional ownership, 24/7 settlement, and borderless access.
Major asset managers such as Franklin Templeton, BlackRock, Goldman Sachs, and HSBC are leading this transformation by developing tokenized investment products. Their participation lends institutional credibility to this emerging market, much like ETFs did for equities decades ago. Similarly, financial institutions like JPMorgan and State Street are laying the groundwork to bring traditional assets on-chain, recognizing tokenization’s far-reaching benefits.
Tokenized assets are projected to reach $2 trillion by 2030, led by cash deposits, bonds, mutual funds, and loans. Their appeal? Mobility, real-time settlement, programmability, and transparency—infused into markets once defined by slow processes, siloed systems, and rigid structures.
8lends by Maclear exemplifies this trend, offering USDC-backed loans to vetted businesses, making passive investing more accessible. Their platform combines blockchain transparency with the familiarity of traditional finance, eliminating cumbersome procedures and accreditation requirements. Smart contracts automate the entire process, delivering predictable returns with complete on-chain visibility.
This represents a foundational shift in financial infrastructure. Tokenization is not only expanding access to investment opportunities—it’s reducing friction, unlocking liquidity, and streamlining capital flows across the global economy.
The New Financial Operating System
The future of finance won’t be defined by crypto replacing banks or banks neutralizing crypto. It will emerge at their intersection—where the trust, scale, and regulatory expertise of traditional institutions fuse with the transparency, efficiency, and programmability of blockchain technology. The boundary between these worlds isn’t just blurring—it’s beginning to vanish.
Like the internet before it, blockchain is gradually disappearing into the background—becoming the invisible rails on which global finance runs. The future of money is being written in code. The biggest winners won’t be those who merely accumulate tokens—but those who understand blockchain as foundational infrastructure. As blockchain dissolves into the conduits of global finance, it’s becoming the architecture through which value will move, scale, and settle in the decade ahead.
Finance
How Natura &Co Is Transforming Finance with Generative AI on SAP S/4HANA
For a company navigating one of the most consequential transformations in its history, financial clarity is not optional—it is essential. Natura &Co, the Brazilian personal care and cosmetics group behind iconic brands such as Natura and Avon, has long been committed to combining purpose-driven business with commercial performance. After a period of strategic portfolio reshaping, including the divestiture of its Aesop and The Body Shop holdings, the company is now sharpening its focus on profitability and operational excellence across Latin America and global markets.
At the center of that effort sits a deceptively complex challenge: understanding, in real time, which revenue and cost factors are driving or eroding gross margin across a highly diversified business. For years, answering that question meant manual reporting, delayed insights, and finance teams spending valuable time on data gathering rather than analysis.
That’s now changing, thanks to a co-innovation initiative developed together with SAP and Numen, a global SAP partner specializing in digital transformation and enterprise software implementation.
From manual reporting to proactive decision intelligence
The project’s goal was to replace a labor-intensive gross margin analysis process with a generative AI application embedded directly into Natura &Co’s financial workflows. Built on SAP Business AI Platform, SAP’s unified foundation integrating business technology, data, and AI capabilities, the application connects directly to data in SAP S/4HANA to provide finance teams with automated insights and narrative recommendations in real time, without the need for manual data pulls or offline reporting.
The application enables users to explore revenue, cost, and margin drivers interactively, identifying at a glance which elements are protecting or eroding margin performance across markets and product lines. Crucially, human oversight remains central to the design: the AI application generates insights, while finance professionals retain full control over interpretation and decisions.
“The implementation of gross margin analysis using AI in SAP S/4HANA marked an inflection point in the analytical capability of our finance area,” said Rogério Dias Garcia, tech manager, ERP Latam, Natura &Co. “We overcame delays and raised the standard of insights by integrating margin analysis from SAP S/4HANA with a large language model connected via the SAP AI Core layer. This architecture allowed us to provide, in an agile, secure, and completely anonymous manner, a stratified and precise view of gross margin offenders and protectors—discriminating exactly which revenue or cost elements were driving market performance.”
A collaborative architecture for scalable AI adoption
Natura &Co’s application derived from a prototype SAP partner Numen created in early 2024 at SAP’s global Hack2Build on business AI, leveraging the generative AI capabilities of SAP Business AI Platform. The solution was designed and developed through close collaboration between Natura &Co, Numen, and SAP. From the outset, the approach was to align AI adoption with concrete business priorities, ensuring the application would be scalable and production-ready rather than a standalone prototype.
Numen brought deep SAP implementation expertise to the project, combining knowledge of SAP S/4HANA architecture with hands-on experience in building solutions on SAP Business AI Platform. The technology stack—SAP S/4HANA, SAP AI Core, SAP Fiori, and SAP Business Technology Platform—provided the secure, integrated foundation needed to connect financial data with generative AI capabilities in an enterprise context.
“SAP enabled the transformation by providing the technological foundation and expert support,” said Carlos Aravechia, head of Data Design & Intelligence at Numen.
The success of the project has validated a broader conviction at Natura &Co: that generative AI, embedded directly in ERP workflows, can fundamentally reposition finance from a transactional function to a strategic business partner.
A blueprint for other businesses
The Natura &Co project demonstrates a pattern that other organizations can replicate, particularly those running SAP S/4HANA. The combination of structured ERP data with the contextual reasoning capabilities of large language models creates a foundation for decision intelligence that goes well beyond traditional business intelligence tools.
The project was built within a six-month co-innovation sprint and went live in August 2025. It is currently in use across Natura &Co’s Equador operations.
Looking ahead, Natura &Co is already planning the next phase: integrating Joule Agents to further automate the extraction of standard analytical content and deepen the AI-driven optimization of financial processes.
“The success of this initiative validates the transformative potential of embedded AI within our ERP,” Dias Garcia noted. “We are now ready to move forward—deepening these insights and integrating the capability of Joule Agents to maximize the extraction of standard content and further optimize our business decisions.”
For SAP customers evaluating how to move from AI experimentation to AI in production, the Natura &Co project offers a concrete, replicable model: start with a high-value, well-defined business process, embed AI directly into existing workflows, and build in human oversight from the start.
Finance
Low-income Chinese girl aces gaokao, inspires live-streamers offering help
A girl from a disadvantaged rural family in central China topped this year’s gaokao, attracting numerous live-streamers eager to finance her education, which she declined.
The home of 18-year-old secondary school graduate Han Yaping in a Henan province village was recently bustling with live-streamers.
This attention came after Han achieved an impressive score of 699 out of 750 in the gaokao, China’s national college entrance exam.
She has received offers from China’s two leading universities, Tsinghua University and Peking University.
Han’s accomplishment is particularly remarkable given her family’s impoverished circumstances.
Her mother suffers from ankylosing spondylitis, an inflammatory arthritis affecting the spine, preventing her from working. Her father, who earns a living through farming and odd jobs, serves as the family’s sole provider. Han also has a younger sister.
Finance
UK financial regulator publishes landmark AI review
The UK’s Financial Conduct Authority (FCA) published a landmark review on Monday that proposes recommendations to regulate the impact of artificial intelligence (AI) on the financial decisions made by consumers.
The review, titled the Mills Review, anticipates that both consumers and firms will start delegating “more financial decision-making to AI systems,” including for agreements, initiating transactions, and executing decisions “within agreed parameters.” One of the key findings of the review outlined that while AI can help bridge advice gaps and “support growth,” there remain risks “associated with fraud, cyber security, and consumer harm.” Conducting the review, Sheldon Mills highlighted that “AI can also amplify risks: bias, discrimination, exclusion, opaque decision-making (particularly when multiple AI models interact), misleading or hallucinatory advice and erosion of consumer trust.”
The review stated that presently, one in five adults in the UK are “already open to AI making decisions for them,” particularly when decisions feel “complex or high stakes.” It found that roughly 26 percent of the population “trust general-purpose tools such as ChatGPT, Claude or Gemini for financial advice” with little awareness that such platforms provide no “formal routes to recourse” or protections.
Overall, the Mills Review identified four areas that it anticipates will be impacted by AI in the financial sector: “the transformation of firms,” “new consumer journeys,” “a reshaped competition landscape,” and “amplified financial crime and cyber risk.” The FCA projected the shift in how consumers and firms consult AI to take place by 2030.
The Mills Review put forth seven “priority” recommendations to be considered by the FCA Board. It recommended that any transitions to autonomous AI models be monitored and that regulatory frameworks and perimeters be adapted and secured. The review called for the strengthening of “system-wide coordination and oversight,” the scaling up of the FCA’s AI Lab to enable it to support AI models and innovation for agentic finance, and an “AI-enabled agentic supervisory model” to be built and adopted. Finally, it recommended that a trusted “public-interest AI-enabled financial capability service” be developed.
The FCA announced, in the press release, that it will launch an AI “good and poor practice publication” in late 2026.
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