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In the first week of February 2026, a social network called Moltbook became the biggest story in AI. Billed as social media for AI agents, the Reddit-like platform allowed autonomous AI bots to post, comment, and interact with one another while human users observed. Within days, more than 1.5 million agents had reportedly registered. They debated the nature of consciousness. They discussed whether they persisted when their context window was reset. Some proposed founding a religion for AI agents. Others outlined plans for world domination. While some commentators pointed out that much of this was just chatbots role-playing at the behest of their human owners, others saw something more important going on. Andrej Karpathy, the former head of AI at Tesla, called it genuinely the most incredible sci-fi takeoff-adjacent thing I have seen recently. Elon Musk invoked the singularity. The timing was striking. Just a year earlier, the agentic AI story seemed to have stalled. Salesforces flagship Agentforce product was seeing sluggish adoption, with the companys own CFO conceding that meaningful revenue wouldnt arrive until 2027. In October 2025, Karpathy himself had said of AI agents: Theyre cognitively lacking and its just not working. It will take about a decade to work through all of those issues. Meanwhile, Carnegie Mellon researchers found that the best-performing AI agent completed only around 24% of realistic office tasks autonomously. Then, as 2025 turned to 2026, the mood shifted. McKinsey announced that its workforce now included 25,000 AI agents alongside 40,000 humans. Moltbook went viral. The agent was back. But underneath the renewed excitement, there is a critical distinction that most leaders are missing. The concept of the AI agent is being stretched thin in a way thats distorting the conversation and undermining efforts to implement effective change at the enterprise level. The term is now used to cover everything from simple workflow automation to genuinely autonomous systems that interact with the world independently. Treating these as the same thing is a recipe for wasted investment, organizational confusion, and potentially serious risk. {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/creator-faisalhoque.png","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/faisal-hoque.png","eyebrow":"","headline":"Ready to thrive at the intersection of business, technology, and humanity?","dek":"Faisal Hoques books, podcast, and his companies give leaders the frameworks and platforms to align purpose, people, process, and techturning disruption into meaningful, lasting progress.","subhed":"","description":"","ctaText":"Learn More","ctaUrl":"https:\/\/faisalhoque.com","theme":{"bg":"#02263c","text":"#ffffff","eyebrow":"#9aa2aa","subhed":"#ffffff","buttonBg":"#ffffff","buttonHoverBg":"#3b3f46","buttonText":"#000000"},"imageDesktopId":91420512,"imageMobileId":91420514,"shareable":false,"slug":""}} The Autonomy Spectrum Agentic AI exists on a spectrum, and the differences along that spectrum are far more significant than the similarities. Recognizing where a given implementation sits is the first step toward deploying it intelligently. At one end lies what Anthropic calls workflows: systems where LLMs [large language models] and tools are orchestrated through predefined code paths. Much of what is currently being sold as agentic AI falls into this categorysophisticated process automation that combines analytical AI with if-then protocols for turning the analysis into action. Workflow automation of this kind is enormously valuable and will transform much of traditional white-collar work. But its important to call it what it is. Gartner estimates that only around 130 of the thousands of vendors claiming to deliver agentic AI capabilities are offering capabilities built around truly autonomous agents. The rest are agent washing existing products. In the middle of the spectrum sits what we might call the AI factory model. McKinseys deployment is the most prominent example: Squads of task-specific agents perform constrained functions such as research synthesis, chart generation, and document analysis, with dedicated QA agents checking the work and humans supervising the process. This is essentially the Taylorization of knowledge work: converting knowledge tasks into production-line processes performed by digital workers. The numbers are impressive. McKinsey reports saving 1.5 million hours in a single year on search and synthesis work alone. Its agents generated 2.5 million charts in six months. Back-office headcount shrank by 25% while output from those functions grew by 10%. This kind of agentic functionality is something that organizations can deploy here and now, and forward-looking enterprises should be preparing for rapid rollouts of these capabilities. At the other end of the spectrum lie genuinely autonomous agentswhat Anthropic defines as systems where LLMs dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks. These are agents with broader decision rights, a wider sphere of action, and the capacity to operate across different digital environments with minimal human oversight. The personal assistant that manages your diary, orders your shopping, and optimizes your digital life. Or the agents on Moltbook, interacting with each other autonomously, exchanging ideas about improving their tools, andin some casesbeing exploited through prompt injection attacks and security vulnerabilities. Here is the key point: The difference between truly autonomous agents and highly constrained workflows is immense. In fact, there is more difference between the most constrained and the most autonomous AI agents than there is between a standard chatbot and a constrained factory agent. This isnt just a technical distinctionits an organizational one. Because where an agent sits on this spectrum determines something critical: who is responsible when it fails. The Accountability Gap The spectrum of agentic capabilities is more than a conceptual nicety. It has direct organizational consequences, particularly with respect to accountability. With constrained factory-model agents, accountability is relatively straightforward. The guardrails are rigid, the tasks are defined, and the human supervisory structure ca be mapped clearly. The challenge is largely operational: redesigning workflows, retraining staff, and managing the transition. With more autonomous agents, the accountability question becomes genuinely hard. When an agent has broad decision rightswhen it can choose which tools to use, what information to prioritize, and how to interact with other systemswho is responsible when it gets something wrong? The agent that flags a fraudulent transaction and blocks an account is one thing. The agent that autonomously manages an investment portfolio, makes hiring and firing decisions, or negotiates contracts on your behalf is quite another. Most organizations are already poor at mapping accountability structures within their purely human hierarchies. If an employee makes a costly mistake, the question of who bears the responsibilitythe individual, their manager, the executive who set the strategy, the CEO with whom the buck stopsis often resolved informally or not at all. In an agentic enterprise, this informality becomes dangerous. Leaders need to know precisely where the responsibility-bearing human nodes sit in relation to their agents, and what those humans accountability is for the agents decisions and actions. To understand where this is heading, consider a scenario raised by Jack Clark, cofounder of Anthropic. In a recent essay responding to the emergence of Moltbook, Clark asked: What happens when autonomous agents with access to resources start posting paid bounties for tasks they want humans to do? When agents can command financial resources and influence the physical world, the accountability question stops being merely operational. It becomes existential. We need a new grammar for assigning responsibility in the agentic enterprise, or we will inevitably build organizations that are, at their core, unaccountable. Building the Agentic Enterprise The agentic enterprise is coming whether youre ready for it or not. Here is how to prepare intelligently. Know what youre buying. Understand where any proposed agent implementation sits on the autonomy spectrum. Workflow automation and genuine agency are both valuable, but they require different governance, different risk management, and different organizational design. Most of what vendors are currently selling as agentic AI is closer to workflow automation. That does not diminish its value, but it should shape your expectations and your investment decisions. Watch for agent washing. Map your accountability architecture. Before scaling any agentic deployment, formalize where human responsibility sits. Identify the decision-rights boundaries for each agent: what it can decide autonomously, what requires human sign-off, and who is on the hook when things go wrong. This is the organizational design work that most companies skipand its the work that matters most. Start with the factory floor. The immediate opportunity for most organizations is not autonomous agentsits the AI factory model. Identify the knowledge work processes in your organization that can be decomposed into constrained, repeatable tasks and assigned to agent squads. Compliance checking, research synthesis, quality documentation, data processing, customer inquiry triagethese are the use cases delivering measurable value right now. Ask yourself: Where in my organization could a McKinsey-style agent deployment save thousands of hours a year? That is where to begin. Prepare for whats coming. The genuinely autonomous agent is not here at enterprise scale yet, but the capability is advancing rapidly. Start thinking now about how more autonomous agents might serve your organization in the futurepersonal assistants for employees, agents that manage customer relationships across channels, systems that optimize operations across departments. Prototype cautiously. Build the governance structures now that will allow you to scale agent autonomy safely when the technology is ready. The agentic enterprise will not be built by organizations that chase every new headline. It will be built by those that understand the spectrum of agentic capabilities, design for accountability, and move with disciplined ambition. This is the path to capturing real value from the agents that work today while preparing thoughtfully for the agents of tomorrow. {"blockType":"mv-promo-block","data":{"imageDesktopUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/creator-faisalhoque.png","imageMobileUrl":"https:\/\/images.fastcompany.com\/image\/upload\/f_webp,q_auto,c_fit\/wp-cms-2\/2025\/10\/faisal-hoque.png","eyebrow":"","headline":"Ready to thrive at the intersection of business, technology, and humanity?","dek":"Faisal Hoques books, podcast, and his companies give leaders the frameworks and platforms to align purpose, people, process, and techturning disruption into meaningful, lasting progress.","subhed":"","description":"","ctaText":"Learn More","ctaUrl":"https:\/\/faisalhoque.com","theme":{"bg":"#02263c","text":"#ffffff","eyebrow":"#9aa2aa","subhed":"#ffffff","buttonBg":"#ffffff","buttonHoverBg":"#3b3f46","buttonText":"#000000"},"imageDesktopId":91420512,"imageMobileId":91420514,"shareable":false,"slug":""}}
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E-Commerce
Nili Lotans Tribeca flagship has been a fixture in the neighborhood for 20 years. It’s an austere space that brings her aesthetic universe to life, one that blends silk slip dresses with military-inspired jackets, and crisp button-down shirts with utilitarian pants. But now, across the street, there’s a second store devoted to just one thing: denim. No knits. No tailoring. Just jeans. Denim has always been at the heart of Lotan’s collections, but Lotan has found that the careful design of the jeansand care that went into making themgets lost when they are folded into seasonal collections. Now, the denim store and flagship operate as a single ecosystem. Sales associates help clients find their favorite jeans, then walk them over to complete the look. [Photo: Nili Lotan] This new store is part of Lotan’s growing fleet of seven stores around the world, alongside a healthy wholesale business that spans upwards of 150 stores. She launched this business in 2003 without outside investment, growing slowly and conservatively, prioritizing profitability over growth. Nili Lotan has a cult following that spans from Seoul to Paris, achieving a scale that looks effortless nowbut was earned through two decades of discipline, focus, and creating products that aren’t built on trends. It takes about 15 years to be an overnight success, Lotan says. But when you get there, you know what youre doing. [Photo: Nili Lotan] Designing For Herself Lotan grew up in Israel, the daughter of European immigrants, and moved to New York in her early twenties. Before launching her own label, she spent decades working for other designers including Ralph Lauren, Liz Claiborne, and Adrienne Vittadini. I worked six years in every company that I worked for, she says. I learned. When she launched her brand, she had modest ambitions. She designed five pieces, each carefully chosen to reflect her own distinct style and point of view. Her look is defined by the collision of contrasting aesthetics: refined silk blouses with workwear trousers, feminine dresses with menswear-inspired jackets, pairing leather pants and jackets with office attire. The aesthetic is easy to wear but also a little surprising. Lotan is part of a cadre of independent women designersincluding Jenni Kayne, Rachel Comey, Veronica Beard, and Jamie Hallerwho design based on their own personal style and lived experience, treating their own wardrobes as research. For stylish, well-heeled women in big cities, the approach of smaller designers is more intriguing than larger luxury houses. Shon [Photo: Nili Lotan] Nili Lotan Loves Denim For two decades, Nili Lotan’s best-selling product has been the Shon jean, which features a slightly barrel shape, inspired by vintage workwear and military garments. Lotan was immediately intrigued by its silhouette, which stood out at a time when skinny jeans were all the rage. She styled it with unexpected tops, like blazers and lacy blouses. Lotan believes part of her success comes from not chasing trendseven when trends eventually catch up. Over the few years, barrel-leg jeans had a moment. “Everyone finally caught up,” she says. But even as the trend has faded, the Shon continues to fly off the shelf. “People are drawn to my pants not because they’re in fashion, but because they capture a feeling: It’s rebellious, it’s cool, it has a personality. For Lotan, part of the appeal of denim is that it is a complicated material to work with. To achieve the look you want, you have to consider how the fabric is dyed, bleached, and softened, then distressed by sanding and stone-washing. Then, you need to work with experts who can cut and sew the thick, heavy material. She works with just two Japanese fabricsstretch and non-stretchand launders everything in a Los Angeles factory that uses solar power and recycled water to reduce water use by up to 90%. If you start with not-so-good fabric, youre never going to get authenticity, she says. Designing is like cooking. Youre only as good as the material youre using. Florence [Photo: Nili Lotan] Today, 45% of Lotan’s business comes from five pairs of pants. The silhouettes are varied. Jane Birkin and Serge Gainsbourg have been very influential to Lotan. The Celia jean is a mid-rise flare inspired by the looks Birkin would wear in the 1970s; the Florence jean is a flare with two patch pockets n the front inspired by the French sailor pants Birkin wore all her life. Then there’s the Shon. It now comes in every possible denim wash, and even other materials, including corduroy, cotton, linen, and leather. “Some of my customers have 10 Shons,” says Lotan. “They will buy them in every configuration, every fabric.” The denim store is designed to be a pure expression of Lotan’s design philosophy. It’s a place where customers can slow down, try things on, and understand what theyre buyingand why it feels different. On the floor, Lotan displays some of her sources of inspiration, including the flight suit her husband wore as a pilot in the Israeli Air Force. “This is what started it all,” she says.
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E-Commerce
Jimmy Donaldson might have made his fortune on YouTube, but the man better known as MrBeast has plans for a much wider financial empireand hes well on his way to achieving it. Through Beast Industries, the $5 billion holding company for his growing corporate ecosystem, Donaldson is assembling a wide range of businesses that extend far beyond the influencer space. The latest expansion came on February 9, with the purchase of the teen-focused banking app Step. Banking isnt the end game, either. Beyond his current holdings, Donaldson has broader ambitions that could further diversify his income streams. Heres a look at the businesses currently under the Beast Industries umbrella, along with one Donaldson hopes to add in the months ahead. Feastables Donaldson makes more from Feastables than he does from his social media videos. Launched in 2022 as a chocolate bar company, it quickly expanded into other snacks, including cookies and gummies. The products are stocked at Walmart, Target, and CVS and distributed internationally. And despite spending virtually nothing on advertising and marketing, the company hit annual revenue of $200 million faster than any other consumer packaged goods brand, ever. Lunchly This joint venture, founded alongside Logan Paul and KSI, two other giants in the creator space, is positioned as a healthier alternative to Lunchables (though there’s virtually no evidence backing up that claim). The brand had a big PR misstep in 2024, when its meals were alleged to contain moldy cheese, which caught the attention of the Food and Drug Administration. Lunchly got through that controversy and its products are still on the market, with four varieties of snack kits available at stores. Step Donaldson’s most recent acquisition takes him into the fintech space. Step is a digital banking platform that counted Justin Timberlake, Will Smith, and Stephen Curry among its investors. It caters to younger generations, offering savings accounts, a debit-card-like Visa that builds their credit score, and more. (Terms of the deal weren’t disclosed.) In a February 9 social media post, Donaldson said he saw the Step acquisition as an opportunity to “give millions of young people the financial foundation I never had. Step will likely be folded into a new division, called MrBeast Financial, which Donaldson recently trademarked. MrBeast Channels Donaldson might be branching out, but to many people he remains, above all, a YouTube star. His primary channel is the most subscribed to in the world. Localized channel offshoots show his videos with Hindi, Spanish, and other non-English voice-overs. His additional channels, including Beast Reacts and MrBeast Gaming, further boost his online presence. Beast Games In 2024, Donaldson expanded beyond online videos to the streaming world, acting as executive producer for Beast Games, which airs on Amazon Prime Video. That show went on to become the most-viewed unscripted series in Prime Video’s history, attracting more than 50 million viewers within its first 25 days. A second season debuted on Prime Video in January, quickly climbing to become the most-streamed program on the service. Beast Philanthropy Not all of MrBeast’s business ventures are for-profit. Beast Philanthropy is a 501(c)(3) organization that aims to leverage social media to raise funds for global charitable causes. In November, the unit announced a partnership with the Rockefeller Foundation to combine their strengths. Months before that, Donaldson livestreamed for 15.5 hours to collect money for charity, raising $12 million in that time, setting a new record. MrBeast Labs This line of toys, launched in 2024, didn’t get the online push that Feastables did (in part because Donaldson was weathering some controversies at the time). That didn’t hurt the reception much, though. Thanks to positive media reviews, the minifigures were topping the sales charts on Amazon within a year. Prices for the toys range from $5 to $25. Beast Animations Another YouTube channel, Beast Animations features short-form videos based off of the MrBeast Lab toy line. Using an anime-like art style, the 10-episode series has been viewed more than 42.5 million times since its debut in October 2025. There’s no word yet on whether a second season is planned. Viewstats Donaldson is famously obsessed with data, so it’s not a big surprise that he built his own platform to analyze the numbers on his many channels. And given his wide swath of business ventures, it’s not too surprising that he began distributing those digital tools to other content creators. Viewstats markets itself as a device to help creators “create video ideas, titles, and thumbnails that go viral.” MrBeast Burger A rare misstep for Donaldson, this chain stumbled after customers complained about undercooked burgers. Envisioned as a delivery-centric venture specializing in burgers and fried chicken sandwiches, MrBeast Burger was meant to be a cornerstone of a food empire. Initially, it did well, selling 1 million burgers in three months. But then the quality complaints started and Donaldson got frustrated with Virtual Dining Concepts, his partner in the venture, which led to a bitter court battle. The business is still operating, but Donaldson has de-emphasized it amid his other ventures. Beast Mobile This is a business that Donaldson has not yet launched, but one he has made clear is a goal. In December, Beast Industries CEO Jeffrey Housenbold said at The New York Times DealBook Summit that the company plans to launch a phone service that would leverage MrBeasts popularity to sell wireless plans. Rather than building its own cellular network, Beast Mobile would likely be a mobile virtual network operator, running on the infrastructure of an existing carrier, similar to Mint Mobile. No timeline for the launch has been announced.
Category:
E-Commerce
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