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IBM Joins Swift's Blockchain: 17 Banks Already Piloting It
IBM Plugged Into Swift's Banking Blockchain Here's Who's Already On It: The world's biggest bank messaging network just quietly went blockchain and IBM wants in. On September 25 - 2026, IBM connected its Digital Asset Haven platform to Swift's blockchain-based shared ledger, currently in beta. The move lets banks move tokenized deposits across Swift's network using an ISO 20022 messaging adapter meaning banks can tap blockchain rails without ripping out their existing payment systems. Swift isn't a small player here. It connects over 12,500 financial institutions across more than 200 markets, moving the equivalent of world GDP every two to three days. So when Swift adds blockchain to that stack, banks pay attention. The First Live Transaction Already Happened HSBC and Standard Chartered beat everyone to the punch, completing the first live transaction on the ledger back in August proof the system works outside the lab. Meet the 17 Founding Banks Swift's ...
Visa Is Shutting Down the Meme Coin Credit Card Loophole
Buying meme coins with a credit card came with an unexpected perk: some users could earn ordinary credit card points and cash back on their crypto purchases. Visa is now moving to close that loophole. The issue centered on how meme coin purchases were classified by payment processors . Some Crossmint-powered checkouts used merchant category code (MCC) 5815 , a category intended for digital media such as movies, music and audiobooks, rather than a crypto-specific category. That meant a meme coin purchase could look to the card network like a normal digital-media purchase. How the loophole worked Users of Robinhood Wallet and Fomo could purchase certain meme coins using credit cards through Apple Pay or Google Pay. According to The Block's testing, transactions made with Visa and Mastercard cards were classified as digital-media purchases and could earn normal card rewards, including points and cash back. The classification mattered because crypto purchases are generally t...
Crypto Funds Just Posted Their Best Week of 2026 — $3.5B in a Single Week
"Bitcoin ETFs Go 5-for-5: Crypto Funds Hit Biggest Inflow Week of the Year" Digital asset investment funds pulled in $3.5 billion last week, according to CoinShares latest Digital Asset Bi-Weekly Digest the largest single-week inflow recorded in 2026. The surge pushed total assets under management across crypto funds to $173 billion globally. Bitcoin Led the Charge US spot Bitcoin ETFs were the standout performer, hauling in $2.39 billion and staying positive on all five trading days of the week. Ethereum products weren't far behind, adding $690 million over the same stretch. Together, these flows pulled year-to-date totals back into positive territory up to $8.6 billion for 2026 so far. What Sparked the Rally? CoinShares attributes the strength to the removal of uncertainty following the Federal Reserve's recent rate decision. Once the outcome became clear, investors who had been sitting on the sidelines started deploying capital again. The US Dominated But Who Else...
Upcoming IPOs Are Back. Here’s What Investors Should Beware Of
The IPO market is getting busy again, with major private companies across AI, fintech, technology, space and consumer businesses moving closer to public markets. Names such as OpenAI, Anthropic, SpaceX, Oura and Strava have appeared in the 2026 IPO pipeline, although the status and timing of individual listings can change. Some companies have filed, while others remain confidential filers or are simply being discussed as potential candidates. That creates an opportunity for investors to gain access to companies that were previously available mainly through private markets. But an IPO can also make it easier to buy into a company before the market has fully figured out what it is worth. The IPO price is not automatically a bargain One of the biggest mistakes investors can make is assuming that getting shares at the IPO price means getting in early at a cheap valuation. The IPO price is determined through the offering process and reflects what the company and its underwriters...
Vitalik Says AI Will Make Crypto More Secure
What if the same AI that helps hackers find vulnerabilities could also make your crypto harder to steal? That is the possibility Ethereum co-founder Vitalik Buterin is pointing to. He argues that AI could make software fundamentally harder to break by making formal verification practical at a much larger scale. Formal verification uses mathematical proofs to confirm that code follows specific security rules. Instead of relying only on testing to find bugs, developers can prove that certain parts of a program behave as intended. But Buterin says there is a bigger challenge. The Hardest Part Is Defining Security According to Buterin, defining what “secure” actually means is harder than verifying the code . A security definition needs to account for more than obvious bugs. It may also need to consider compromised servers, leaked keys, network attacks, metadata and hardware vulnerabilities. If an important threat is missing from the definition, a perfect mathematical proof will no...
Tech It Up Today
The Next AI Revolution Won't Happen on Your Screen For the last few years, the AI revolution has mostly lived inside a screen. You type a question. AI answers. You give it an image. AI analyzes it. You ask for code. AI writes it. You ask it to create something. AI generates it. But what happens when AI no longer needs to stay inside the screen? What happens when AI gets a body? That shift is already being called physical AI or embodied AI : systems that can perceive their surroundings, reason about them and act in the physical world. Researchers describe this as a fundamentally harder problem than simply generating text or images because the real world is unpredictable. And in 2026, the technology is moving rapidly from demonstrations toward commercial applications. AI Is Learning to Touch Reality A chatbot can tell you how to pick up a strawberry. A robot has to actually pick it up. That sounds simple until you consider everything involved. How hard should it gr...
Zuckerberg Thinks AI Will Create More Opportunity. Here’s Why That Matters.
For years, one of the biggest fears around AI has been simple: AI will take our jobs. Mark Zuckerberg is looking at the future differently. In a new essay, the Meta CEO argues that increasingly powerful AI could give individuals and small teams capabilities that previously belonged mostly to large companies. He describes a future where people have personal AI systems that can help them learn, create, build businesses and solve difficult problems. That idea deserves more attention than the usual “AI will replace workers” debate. Because there is another possibility. AI could change who gets to build. The Small Team Could Become Extremely Powerful Think about what it takes to build a company today. You might need: A developer A designer A researcher A marketer Customer support An analyst An accountant A small startup can spend years and millions of dollars building this team. But AI can already perform parts of many of these jobs. A founder can use AI to resea...
Why AI Agents Are Forcing Us to Reprice Our Own Time
The moment time stopped being linear For most of modern work, time has been our tightest constraint. You rent out hours, convert them to outputs, and hope compounding kicks in. AI agents are breaking that math. They do not wait for you to be available, they do not tire, and they can run multiple workflows in parallel. That changes not just productivity, but the price of time itself. If an autonomous agent can handle five hours of your busywork before breakfast, the value of your next human hour is not what it used to be. From tools to teammates: what agents actually change Static tools accelerate a single task. Agents orchestrate tasks into outcomes. Give them a goal and they coordinate research, drafting, testing, scheduling, and follow-ups across APIs and data sources. They are the connective tissue between knowledge, actions, and systems. The upshot: work that used to consume your calendar can now run in the background, on a loop, while you focus on decisions and relationships. This...
AI Agents Are Becoming the New Interns of the Digital Economy
The rise of the tireless digital intern Every company knows the intern archetype: sharp, eager, a little green, and great at the busywork that keeps the engine running—research bundles, first drafts, data cleanups, checklist chores. Now, AI agents are stepping into that role across the digital economy. They draft emails, reconcile reports, chase down missing CRM fields, distill 50-page PDFs, and stitch steps across tools people already use. Done right, they don’t replace judgment—they buy it time. Think of an agent as more than a chatbot. It’s a stack: a model that plans multi-step work, a set of tools it’s authorized to use, a memory of what happened last time, and a feedback loop for quality. With bigger context windows, stronger tool use, and cheaper inference, that stack has crossed a threshold. The experience now feels less like typing into a box and more like onboarding a junior colleague. What changed under the hood Three shifts brought agents into the workplace: Reliable tool u...
The New Career Divide Isn’t Human vs. AI — It’s AI Users vs. Everyone Else
The real split is about leverage, not replacement For years, the debate framed the future of work as humans against machines. That was always a distraction. The true divide showing up on paychecks, promotion slates, and performance dashboards is simpler: people who use AI vs. people who don’t. The first group is compounding leverage every week. The second group is working the same hours, with the same tools, in a market that is quietly moving past them. This isn’t about being a coder or a technologist. It’s about becoming the type of professional who turns AI into throughput, quality, and speed. That edge stacks. Over months, it becomes visible in your body of work. Over a year, it becomes your brand. Why AI users pull ahead More throughput: Routine tasks compress. Research that took three hours becomes 25 minutes. Drafts appear in minutes. Summaries are instant. Higher quality: First drafts are better. Variants are plentiful. You can test angles, tones, and formats before deciding. Br...