 |
|
|
|||||
It’s hard to tell AI news from AI hype at the best of times, but the most recent surge around agents, triggered by many developers embracing Claude Code a couple of months ago, feels like something different. With the viral freakout over Moltbook, the agent social network, and the Super Bowl ad slap fight between OpenAI and Anthropic, AI has escalated to a new level of mainstream attention. Everyone’s forgotten about the AI bubble and is instead dancing around the AI “inflection point,” when AI in general and agents in particular begin to take over huge swaths of knowledge work, with massive consequences for the economy and the workforce. The recent sell-off of SaaS stocks is an indication of how seriously the industry takes this. For journalists, all this mainstream AI noise, coupled with the steady drumbeat of layoffs in the media industry, quickly turns into a familiar feeling: pressure to do more. As newsrooms shrink and AI tools get framed as productivity machines, its easy to assume the right response is higher output. But AI isnt just changing how stories get made. Its changing how stories get found. So the temptation to use AI to do “more with less,” which in many cases will be to tell the same kinds of stories, just more quickly and more often, is misguided. {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/03\/media-copilot.png","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/03\/fe289316-bc4f-44ef-96bf-148b3d8578c1_1440x1440.png","eyebrow":"","headline":"\u003Cstrong\u003ESubscribe to The Media Copilot\u003C\/strong\u003E","dek":"Want more about how AI is changing media? Never miss an update from Pete Pachal by signing up for The Media Copilot. To learn more visit \u003Ca href=\u0022https:\/\/mediacopilot.substack.com\/\u0022\u003Emediacopilot.substack.com\u003C\/a\u003E","subhed":"","description":"","ctaText":"SIGN UP","ctaUrl":"https:\/\/mediacopilot.substack.com\/","theme":{"bg":"#f5f5f5","text":"#000000","eyebrow":"#9aa2aa","subhed":"#ffffff","buttonBg":"#000000","buttonHoverBg":"#3b3f46","buttonText":"#ffffff"},"imageDesktopId":91453847,"imageMobileId":91453848,"shareable":false,"slug":""}} This is because of the contradiction in how AI systems surface information: While they look for sameness to reinforce the patterns they’re seeing, they don’t reward it. That’s the difference between being cited in an AI summary vs. being in the background. AI only needs one competent version of the commodity story; it goes looking for the one that looks authoritative and adds something new. More isnt more In practice, yes, you could use AI to accelerate news production, letting you cover more stories than you could before, and a few newsrooms are doing that. And on an individual level, that might even signal your value to your employer in the short term. But if it’s effectively the same story reported elsewhere, an AI engine has no reason to prioritize yours over another. Instead, the more logical path is to invest in the parts of journalism that only humans can do: finding new and novel information through sourcing, research, interviews, and analysis. In other words, while the instinct to do more isn’t wrong, it should be aimed at going deeper, not wider. AI can still be an accelerant here, speeding up ideation, research, and even things like reaching out to sources. A digital media researcher, Nick Hagar, recently showed what this looks like in practice, using coding agents to recreate a deep analysis from a human-authored journalistic investigation on Virginia police decertifications. The interesting thing about his case study is that, when used with very specific tools (such as Claude Code “skills,” which essentially turn certain research tasks into templates), he could quickly replicate the work, but ultimately his human judgment was required throughout. “Even with skills enforcing a structured workflow, I made dozens of judgment calls…. Skills make the workflow more systematic; they dont eliminate the need for human attention,” he wrote. That points to the better way journalists should think about AI: The goal isn’t to create more stories, but to create stories that are so valuable and definitive that AI search engines can’t ignore them. Authority over output To succeed in this new environment, the No. 1 habit that journalists will need to break is the natural instinct to cover more. Very few reporters think they’ve got a full grip on all the stories on their beat, and as newsrooms shrink, they have less help than ever. It doesn’t mean you ignore all breaking news, but it does mean a mental shift from reaction to discernment. In many cases, that might mean narrowing a beat to a micro-beat (say, from “energy” to “nuclear power”). A lot of what I’m describing is happening naturally as many reporters, either victims of layoffs or entrepreneurially minded, flock to platforms like Substack and Beehiiv to put out a shingle. It’s not just the best-worst optionthe system is pushing incentives in this direction, rewarding people who build authority via content that goes deep in a specific subject area and brings original insights and information to the table. Certainly, you don’t have to strike out on your own to take this approach, though it does require discipline to put aside story FOMO and focus on where you can bring something original to the table. And the rewards go beyond simply having a better chance at surfacing in AI answers: you’ll have a stronger connection to your audience because they’ll be coming to you for information you can’t get anywhere else. The value of shaping narratives instead of chasing them is much greater than any short-term traffic spike. That’s a hopeful idea, and paired with the changing incentives of the media ecosystem, it points to a key insight. AI’s ability to summarize and transform content has caused many to wonder what the “atomc unit” of journalism is. Some think it’s the unique facts, quotes, or insights that are woven into stories, but I think all this implies it’s something more abstract: editorial judgment. As AI systems absorb more of the mechanical labor of journalism, theyre inadvertently clarifying the thing they cant absorb: human judgment about what matters and why. If this is an inflection point, it isnt in the tools. Its in the work we choose to do. {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/03\/media-copilot.png","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/03\/fe289316-bc4f-44ef-96bf-148b3d8578c1_1440x1440.png","eyebrow":"","headline":"\u003Cstrong\u003ESubscribe to The Media Copilot\u003C\/strong\u003E","dek":"Want more about how AI is changing media? Never miss an update from Pete Pachal by signing up for The Media Copilot. To learn more visit \u003Ca href=\u0022https:\/\/mediacopilot.substack.com\/\u0022\u003Emediacopilot.substack.com\u003C\/a\u003E","subhed":"","description":"","ctaText":"SIGN UP","ctaUrl":"https:\/\/mediacopilot.substack.com\/","theme":{"bg":"#f5f5f5","text":"#000000","eyebrow":"#9aa2aa","subhed":"#ffffff","buttonBg":"#000000","buttonHoverBg":"#3b3f46","buttonText":"#ffffff"},"imageDesktopId":91453847,"imageMobileId":91453848,"shareable":false,"slug":""}}
Category:
E-Commerce
The Supreme Court has struck down President Donald Trumps far-reaching global tariffs, handing him a significant loss on an issue crucial to his economic agenda. The decision on Friday centers on tariffs imposed under an emergency powers law, including the sweeping reciprocal tariffs he levied on nearly every other country. Its the first major piece of Trumps broad agenda to come squarely before the nations highest court, which he helped shape with the appointments of three conservative jurists in his first term. The Republican president has been vocal about the case, calling it one of the most important in U.S. history and saying a ruling against him would be an economic body blow to the country. But legal opposition crossed the political spectrum, including libertarian and pro-business groups that are typically aligned with the GOP. Polling has found tariffs arent broadly popular with the public, amid wider voter concern about affordability.
Category:
E-Commerce
In a rapidly evolving financial landscape, technology is transforming how money movesmaking payments of tomorrow faster, smarter, and easier than ever before. Consider this snapshot of the near future: Youre in a taxi on the other side of the world. You pay your driver with the same digital wallet you use at home, and he receives the money in his wallet linked to the local instant payments network. Hes set a rule in his bank appsend 30% of every payout to my family back homeand funds are converted immediately to a third currency and delivered to relatives in a country thousands of miles away. Nobody needs to download a new app or think about payment methods. AI-powered agents handle currency conversion and smart routing automatically and invisiblyat a fraction of yesterdays international payment costs. Here’s another scenario: A global marketplace pays out to 10,000 sellers daily. Instead of selecting a payout route, the finance department sets a rulepay as efficiently as possible, in line with terms and conditions. The platform dynamically routes each payment based on geography, cost, and liquiditychoosing from rails that might include account-to-account, tokenized card networks, or stablecoins on public blockchains. In each of these examples, the user experience is simplicity itself, yet it relies on a complex, underlying technical, regulatory and strategic architecture. In recent years the introduction of new payment rails, infrastructure and digital currencies has created choice but has yet to deliver seamless interoperability. Thats why efforts are increasingly focused on convergencestitching together todays patchwork of innovation into an intelligent network of networks. Were not there yet, but were closer than you might think. AN EXPLOSION OF CHOICE In recent years, theres been a diversification in digital currencies. Stablecoins are moving into mainstream use, combining the stability of traditional money with the advantages of blockchainspeed, programmability, and global reach. Tokenized deposits bring those same benefits while retaining the full regulatory and trust framework of the banking system. Meanwhile, central bank digital currencies (CBDCs) are pivoting from retail-focused ambitions to wholesale use cases like interbank settlements, cross-border payments, and securities transactions. New payment rails are proliferating as well. Some, like PIX in Brazil and UPI in India, are public infrastructures, embodying the principle that payments should function as a public good, like highways or utilities. Others, such as the permissioned ledgers deployed by banks like JPMorgan Chase, represent commercial bank money as digital tokens on private blockchains, enabling clients to move funds 24/7 with near-instant finality, rich data, and full regulatory compliance. Card networks are essentialparticularly for consumer payments that require strong identity assurance and dispute protection. Features like tokenization, push-to-account transfers, and established chargeback procedures make them a trust-and-compliance layer that enables connectivity across the payments landscape. THE IMPERATIVE OF INTEROPERABILITY Convergence is the process by which this expanding array of currencies and rails can coalesce into a global system for value transfer. Importantly, this isnt a zero-sum competition among players. The diverse systems need to connect to a layered, interoperable framework that fulfills a long-standing aspiration: seamless value movement across borders and platforms. Ease, security, and cost-efficiency will define this new system. Consumers and businesses will increasingly move money across networks with settlement and reconciliation handled invisibly in the background. They will expect security to be end-to-end, traveling with the payment throughout the ecosystem. Benchmark standards for resolving disputes and assigning liabilitypioneered by card networkswill extend to other rails, from instant payments to blockchain and beyond. Agentic payment routing will minimize fees by selecting the most efficient path, whether thats a domestic instant scheme, a cross-border blockchain transfer, or a card network. Many players are driving this convergence. For example, Project Nexus, an initiative of the Bank for International Settlements, aims to connect instant payment systems across multiple countries through a single interface. Bridges like Circles Cross-Chain Transfer Protocol (CCTP) are being built to link disparate blockchain networks, while PayPal is expanding its cross-border capabilities via wallets. Card networks like Mastercard are enabling interoperability across rails. And much more is underway. Crucially, agentic AI will increasingly serve as the connective tissue of this systemorchestrating real-time operations and knitting together the constellation of networks. THE RACE TO CONNECT The next two to five years will be a critical transition period. During this time, legacy infrastructure and digital-native systems will operate in parallel as regulations evolve, pilots mature into production, and new instruments move from experimentation to everyday use. Adoption will unfold in stages as technologies mature at different speeds and market incentives align. As foundational rails converge, the focus will shift from connectivity to orchestration. AI, rather than human choice, will increasingly route and optimize payments. Once that tipping point arrives, the acceleration will be dramatic. There are interoperability challenges. As nations seek greater financial autonomy, some are building parallel payment infrastructures or accelerating the development of sovereign digital currencies to reduce reliance on dominant currenciesparticularly the U.S. dollaras crypto and tokenized value scales. This risks the creation of new silos just as technology is making interoperability more achievable. Instead of a unified global framework, the world could see fragmented networks defined by strategic alliances and competing standards, complicating crossborder settlement and slowing the very convergence that would enable money to move seamlessly. FUNDAMENTAL QUESTIONS Its important to consider the kind of financial world we want to build. Are we creating a system that provides choice and empowers individuals, businesses, and communities, or one that puts control in the hands of a few key players? How do we ensure that innovation fosters trust, transparency, and opportunity, instead of creating more complexity and uncertainty? While the road ahead is under construction, its destination should be clear: a world where money moves as effortlessly as information, making life simpler, easier, and more rewarding for all. Ken Moore is the chief innovation officer at Mastercard.
Category:
E-Commerce
All news |
||||||||||||||||||
|
||||||||||||||||||