[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-the-last-mile-problem-slowing-ai-transformation":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":94,"popular_news":160,"categories":231},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":78,"formatted_created_at":79,"category_id":46,"links":80,"view_type":85,"video_url":86,"views":87,"likes":88,"lang":89,"comments_count":88,"category":90},"The “Last Mile” Problem Slowing AI Transformation","Companies have poured billions into generative AI. They have rolled out tools like Copilot and ChatGPT to tens of thousands of employees. They have launched hundreds of pilots. Yet the promised revolution in organizational productivity remains stubbornly out of reach.","The AI “last mile” is not blocked by technology. It is blocked by unresolved questions of operating models, governance, and human identity.","Organizations that treat AI as just another productivity tool will continue to collect impressive pilot results and disappointing enterprise outcomes.","\u003Cp>Companies have poured billions into generative AI. They have rolled out tools like Copilot and ChatGPT to tens of thousands of employees. They have launched hundreds of pilots. Yet the promised revolution in organizational productivity remains stubbornly out of reach.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164038909.webp\" type=\"image/webp\">\u003Cimg alt=\"The “Last Mile” Problem Slowing AI Transformation\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164038909.jpg\" width=\"300\" />\u003C/picture>The problem, according to new research from Harvard Business School’s Digital Data Design Institute (D³) and Microsoft, is not the models. It is not the data. It is the last mile of transformation — the messy, human, organizational stretch where technical capability meets real operating models.\u003C/p>\n\n\u003Cp>In a major new study published in \u003Ca href=\"https://hbr.org/2026/03/the-last-mile-problem-slowing-ai-transformation\">\u003Cstrong>Harvard Business Review\u003C/strong>\u003C/a>, professors and practitioners Karim R. Lakhani, Ali Hosseini, and Sara Mahdavi lay out why AI adoption stalls at scale.\u003C/p>\n\n\u003Cp>Drawing on the Frontier Firm Initiative and insights from senior leaders across banking, healthcare, manufacturing, and professional services, they identify **seven critical frictions** that keep organizations “pilot-rich but transformation-poor.”\u003C/p>\n\n\u003Cp>\u003Cstrong>Here are the seven barriers — and the concrete blueprint executives must follow if they want to move from isolated productivity wins to enterprise-wide AI-native operating models.\u003C/strong>\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>1. The Proliferation of Pilots\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164010752.webp\" type=\"image/webp\">\u003Cimg alt=\"The “Last Mile” Problem Slowing AI Transformation\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164010752.jpg\" width=\"300\" />\u003C/picture>Most companies are swimming in successful small-scale experiments — yet almost none scale into standard operating practice.  \u003Cbr />\nA global investment bank built more than 250 LLM-connected applications. A global apparel company automated over 18,000 finance processes. A food-and-beverage giant ran AI pilots in 185 countries. The results stayed local. Without a repeatable path from proof-of-concept to enterprise rollout, pilots become expensive science projects.\u003C/p>\n\n\u003Ch4>\u003Cstrong>2. The Productivity Gap\u003C/strong>\u003C/h4>\n\n\u003Cp>Individual workers report impressive time savings, but organizations rarely see corresponding gains in headcount, cycle time, or output.  \u003Cbr />\nA global payments network achieved 99 % employee adoption of copilots — yet could point to zero measurable improvement in key financial metrics. Freed-up time simply gets re-absorbed into more meetings and email. Without deliberate redesign of roles, budgets, and incentives, the productivity dividend evaporates.\u003C/p>\n\n\u003Ch4>\u003Cstrong>3. The Burden of Process Debt\u003C/strong>\u003C/h4>\n\n\u003Cp>AI shines a harsh light on decades of fragmented, exception-ridden workflows built through acquisitions, geographic variations, and legacy systems.  \u003Cbr />\nA large healthcare insurer discovered that AI exposed inconsistencies faster than the organization could resolve them. A professional services firm operating in 170+ countries ran the “same” process dozens of different ways depending on location. You cannot simply layer AI on top of broken processes; you must re-architect them from the ground up.\u003C/p>\n\n\u003Ch4>\u003Cstrong>4. The Identity Problem of Tribal Knowledge\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164034096.webp\" type=\"image/webp\">\u003Cimg alt=\"The “Last Mile” Problem Slowing AI Transformation\" class=\"image-align-left\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164034096.jpg\" width=\"300\" />\u003C/picture>The deepest expertise in most organizations still lives in the heads of long-tenured experts — and those experts are often reluctant to externalize it.  \u003C/p>\n\n\u003Cp>AI demands that judgment be encoded into systems, which threatens the very identity of people whose status came from being “the one who knows.”\u003C/p>\n\n\u003Cp>An engineering consultancy described this as a classic identity crisis: people protected their expertise because it conferred power. Until organizations address the human side of knowledge capture, AI will hit a wall of silent resistance.\u003C/p>\n\n\u003Ch4>\u003Cstrong>5. Governance in an Agentic World\u003C/strong>\u003C/h4>\n\n\u003Cp>When AI agents move from answering questions to taking actions, traditional governance collapses.  \u003Cbr />\nA global bank watched its human-in-the-loop controls break down under multi-agent architectures. Another institution is already running 100+ agents and planning for tens of thousands.\u003C/p>\n\n\u003Cp>Questions that used to belong to HR — Who creates agents? Who owns their performance? How do you “onboard,” evaluate, or retire them? — now sit unanswered at the heart of operations.\u003C/p>\n\n\u003Ch4>\u003Cstrong>6. Architectural Complexity\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164235822.webp\" type=\"image/webp\">\u003Cimg alt=\"The “Last Mile” Problem Slowing AI Transformation\" class=\"image-align-right\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164235822.jpg\" width=\"300\" />\u003C/picture>Most large companies operate a patchwork of platforms across multiple hyperscalers and vendors. Integration becomes a nightmare.  \u003Cbr />\nA global apparel company spent months just getting agents across SAP, Microsoft, and Google to communicate reliably. Platform updates frequently force teams to reset entire initiatives. The tension between “single-platform speed” and “multi-vendor flexibility” is real and unresolved.\u003C/p>\n\n\u003Ch4>\u003Cstrong>7. The Efficiency Trap\u003C/strong>\u003C/h4>\n\n\u003Cp>When leaders frame AI primarily as a cost-cutting tool (the modern version of offshoring), they trigger defensive behavior and dramatically narrow ambition.  \u003C/p>\n\n\u003Cp>Boards demand quick ROI, so companies optimize low-value tasks performed by $20-an-hour employees instead of reimagining how the enterprise creates and captures value. The risk: hollowing out the very human capabilities — judgment, storytelling, creativity — that differentiate great companies.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Blueprint: Seven Strategic Pillars for the AI-Native Firm\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164239191.webp\" type=\"image/webp\">\u003Cimg alt=\"The “Last Mile” Problem Slowing AI Transformation\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164239191.jpg\" width=\"300\" />\u003C/picture>The authors do not stop at diagnosis. They offer a clear set of counter-measures that together form the foundation of an AI-native operating model:\u003C/p>\n\n\u003Cp>\u003Cstrong>1. Clean-Sheet Process Redesign\u003C/strong>\u003C/p>\n\n\u003Cp>Stop patching legacy workflows. Design processes from scratch with AI agents as first-class participants. Use agent-centric mapping to define exactly where humans orchestrate and where agents execute.\u003C/p>\n\n\u003Cp>\u003Cstrong>2. Strategic Knowledge Capture\u003C/strong>\u003C/p>\n\n\u003Cp>Treat tribal knowledge as a corporate asset. Pair domain experts with “AI process architects” and knowledge stewards to externalize both rules and nuanced judgment. Frame it positively: “We are building your legacy into the system so your expertise scales forever.”\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164237840.webp\" type=\"image/webp\">\u003Cimg alt=\"The “Last Mile” Problem Slowing AI Transformation\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164237840.jpg\" width=\"300\" />\u003C/picture>\u003Cstrong>3. Managing the Digital Workforce\u003C/strong>\u003C/p>\n\n\u003Cp>Treat agents like employees. Build centralized “agentic control planes” — dashboards for monitoring performance, security, accuracy, and compliance — just as you manage human teams.\u003C/p>\n\n\u003Cp>\u003Cstrong>4. Role Redesign and Career Pathing\u003C/strong>\u003C/p>\n\n\u003Cp>Shift humans from execution to design, orchestration, and interpretation. Create new career paths built around learning agility, systems thinking, and agent management. Some organizations are already assigning dedicated managers to their digital workforce.\u003C/p>\n\n\u003Cp>(The research notes that the remaining three pillars complete a synchronized transformation covering governance, incentives, and technology architecture — all of which must move in lockstep.)\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/forced-piracy-when-paying-for-content-becomes-impossible\">Forced Piracy: When Paying for Content Becomes Impossible\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/youtube-s-biggest-thumbnail-title-study-ever-323-000-videos-62-6-billion-views-and-the-brutal-truth-about-what-actually-gets-clicks\">YouTube’s Biggest Thumbnail & Title Study Ever: 323,000 Videos, 62.6 Billion Views, and the Brutal Truth About What Actually Gets Clicks\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/streaming-services-continue-their-hunt-for-creators-tubi-launches-creatorverse-incubator-with-tiktok\">Streaming Services Continue Their Hunt for Creators: Tubi Launches Creatorverse Incubator with TikTok\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-cyberpunk-you-didn-t-ask-for-living-with-a-tv-that-watches-you\">The Cyberpunk You Didn't Ask For: Living with a TV That Watches You\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Bottom Line\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164231791.webp\" type=\"image/webp\">\u003Cimg alt=\"The “Last Mile” Problem Slowing AI Transformation\" class=\"image-align-left\" height=\"201\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-25t164231791.jpg\" width=\"300\" />\u003C/picture>\u003C/strong>The AI “last mile” is not blocked by technology. It is blocked by unresolved questions of operating models, governance, and human identity.\u003C/p>\n\n\u003Cp>Organizations that treat AI as just another productivity tool will continue to collect impressive pilot results and disappointing enterprise outcomes. The winners will be the ones that accept the harder truth: crossing the last mile requires rewriting the organizational operating system itself.\u003C/p>\n\n\u003Cp>The blueprint exists. The question for every executive is simple — and urgent: Are you willing to redesign the enterprise for an agentic world, or will you remain pilot-rich and transformation-poor?\u003C/p>\n\n\u003Cp>The research is clear. The last mile is organizational. And it is yours to close.\u003C/p>","the-last-mile-problem-slowing-ai-transformation","2026-03-25T15:46:15.000000Z","25.03.2026",{"image":81,"image_webp":82,"thumb":83,"thumb_webp":84},"https://cdn.quasa.io/images/news/1WQvoMVbNEaMYPSBS0jRsJqFQ12BMjbdpZUyYf9a.jpg","https://cdn.quasa.io/images/news/1WQvoMVbNEaMYPSBS0jRsJqFQ12BMjbdpZUyYf9a.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/1WQvoMVbNEaMYPSBS0jRsJqFQ12BMjbdpZUyYf9a.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/1WQvoMVbNEaMYPSBS0jRsJqFQ12BMjbdpZUyYf9a.webp","small",null,615,0,"en",{"id":46,"title":47,"slug":48,"meta_title":47,"meta_description":91,"meta_keywords":91,"deleted_at":86,"created_at":92,"updated_at":93,"lang":89},"Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2024-09-23T12:49:38.000000Z",[95,109,122,134,147],{"title":96,"description":97,"slug":98,"created_at":99,"publish_at":99,"formatted_created_at":100,"category":101,"links":102,"view_type":85,"video_url":86,"views":107,"likes":88,"lang":89,"comments_count":88,"is_pinned":108},"OpenAI Claps Back Hard at Anthropic with GPT-5.4-Cyber: Real Cyber Defense for the Actual World, Not Just the Elite","OpenAI just threw a gauntlet at Anthropic.On April 14, 2026, the company launched GPT-5.4-Cyber — a specialized, cyber-permissive version of GPT-5.4 — and massively scaled its Trusted Access for Cyber (TAC) program.","openai-claps-back-hard-at-anthropic-with-gpt-5-4-cyber-real-cyber-defense-for-the-actual-world-not-just-the-elite","2026-04-17T12:30:07.000000Z","17.04.2026",{"title":47,"slug":48},{"image":103,"image_webp":104,"thumb":105,"thumb_webp":106},"https://cdn.quasa.io/images/news/bFelVXIpMp7CXVmFyQLEeWiZVfp503jaUSNFZAin.jpg","https://cdn.quasa.io/images/news/bFelVXIpMp7CXVmFyQLEeWiZVfp503jaUSNFZAin.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/bFelVXIpMp7CXVmFyQLEeWiZVfp503jaUSNFZAin.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/bFelVXIpMp7CXVmFyQLEeWiZVfp503jaUSNFZAin.webp",5,false,{"title":110,"description":111,"slug":112,"created_at":113,"publish_at":114,"formatted_created_at":100,"category":115,"links":116,"view_type":85,"video_url":86,"views":121,"likes":88,"lang":89,"comments_count":88,"is_pinned":108},"David Zaslav’s $887 Million Golden Parachute: The Real Winner of the Warner-Paramount-Skydance Mega-Merger","While the entire industry is still trying to figure out what the Warner Bros. Discovery–Paramount–Skydance merger actually means for content, jobs, and the future of Hollywood, one person has already quietly won the game.","david-zaslav-s-887-million-golden-parachute-the-real-winner-of-the-warner-paramount-skydance-mega-merger","2026-04-11T16:50:26.000000Z","2026-04-17T11:43:00.000000Z",{"title":35,"slug":36},{"image":117,"image_webp":118,"thumb":119,"thumb_webp":120},"https://cdn.quasa.io/images/news/UipvO2qM22oE3JPHYJd0N7FAVeWAXoWcswufQeAU.jpg","https://cdn.quasa.io/images/news/UipvO2qM22oE3JPHYJd0N7FAVeWAXoWcswufQeAU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/UipvO2qM22oE3JPHYJd0N7FAVeWAXoWcswufQeAU.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/UipvO2qM22oE3JPHYJd0N7FAVeWAXoWcswufQeAU.webp",11,{"title":123,"description":124,"slug":125,"created_at":126,"publish_at":127,"formatted_created_at":100,"category":128,"links":129,"view_type":85,"video_url":86,"views":30,"likes":88,"lang":89,"comments_count":88,"is_pinned":108},"Italian Court Rules Netflix Price Hikes Illegal — Orders Refunds Up to €500 and Delivers First Major Blow to Streaming’s “Silent Consent” Model","In a landmark decision that feels like it came from a parallel universe, a Rome court has declared Netflix’s repeated price increases in Italy illegal.","italian-court-rules-netflix-price-hikes-illegal-orders-refunds-up-to-500-and-delivers-first-major-blow-to-streaming-s-silent-consent-model","2026-04-11T16:37:50.000000Z","2026-04-17T09:30:00.000000Z",{"title":58,"slug":63},{"image":130,"image_webp":131,"thumb":132,"thumb_webp":133},"https://cdn.quasa.io/images/news/ChvYqOR0i7mjLSqAI7wxvX9CxwxCCOoByKPKIvcg.jpg","https://cdn.quasa.io/images/news/ChvYqOR0i7mjLSqAI7wxvX9CxwxCCOoByKPKIvcg.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/ChvYqOR0i7mjLSqAI7wxvX9CxwxCCOoByKPKIvcg.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/ChvYqOR0i7mjLSqAI7wxvX9CxwxCCOoByKPKIvcg.webp",{"title":135,"description":136,"slug":137,"created_at":138,"publish_at":139,"formatted_created_at":100,"category":140,"links":141,"view_type":85,"video_url":86,"views":146,"likes":88,"lang":89,"comments_count":88,"is_pinned":108},"Freedom vs Formula: How Avatar and Marvel Handle Creative Risk Completely Differently","“Avatar Can Take Risks That Marvel Simply Can’t” — Sam Worthington Just Explained the Huge Difference Between the Two Biggest Franchises in Hollywood","freedom-vs-formula-how-avatar-and-marvel-handle-creative-risk-completely-differently","2026-04-11T16:23:33.000000Z","2026-04-17T06:13:00.000000Z",{"title":65,"slug":66},{"image":142,"image_webp":143,"thumb":144,"thumb_webp":145},"https://cdn.quasa.io/images/news/H0NnVGzCj4ujOHPkRfrrhp0nAP2Wil8faDJnUnuR.jpg","https://cdn.quasa.io/images/news/H0NnVGzCj4ujOHPkRfrrhp0nAP2Wil8faDJnUnuR.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/H0NnVGzCj4ujOHPkRfrrhp0nAP2Wil8faDJnUnuR.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/H0NnVGzCj4ujOHPkRfrrhp0nAP2Wil8faDJnUnuR.webp",41,{"title":148,"description":149,"slug":150,"created_at":151,"publish_at":152,"formatted_created_at":100,"category":153,"links":154,"view_type":85,"video_url":86,"views":159,"likes":88,"lang":89,"comments_count":88,"is_pinned":108},"Bixonimania: The Fake Disease That Fooled Every Major AI — And Then Sneaked Into a Real Medical Journal","In early 2024, Swedish medical researcher Almira Osmanovic Thunström from the University of Gothenburg decided to run a brilliantly devious experiment.","bixonimania-the-fake-disease-that-fooled-every-major-ai-and-then-sneaked-into-a-real-medical-journal","2026-04-11T16:02:45.000000Z","2026-04-17T03:56:00.000000Z",{"title":47,"slug":48},{"image":155,"image_webp":156,"thumb":157,"thumb_webp":158},"https://cdn.quasa.io/images/news/R6rKtkVb5aEyUUQv5Eqktzyd7hArIfqilUk07Fs2.jpg","https://cdn.quasa.io/images/news/R6rKtkVb5aEyUUQv5Eqktzyd7hArIfqilUk07Fs2.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/R6rKtkVb5aEyUUQv5Eqktzyd7hArIfqilUk07Fs2.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/R6rKtkVb5aEyUUQv5Eqktzyd7hArIfqilUk07Fs2.webp",55,[161,174,190,202,217],{"title":162,"description":163,"slug":164,"created_at":165,"publish_at":166,"formatted_created_at":167,"category":168,"links":169,"view_type":85,"video_url":86,"views":172,"likes":173,"lang":89,"comments_count":88,"is_pinned":108},"The Anatomy of an Entrepreneur","Entrepreneur is a French word that means an enterpriser. Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":170,"image_webp":86,"thumb":171,"thumb_webp":171},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",70538,2,{"title":175,"description":176,"slug":177,"created_at":178,"publish_at":179,"formatted_created_at":180,"category":181,"links":182,"view_type":187,"video_url":86,"views":188,"likes":189,"lang":89,"comments_count":88,"is_pinned":108},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":183,"image_webp":184,"thumb":185,"thumb_webp":186},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","large",70292,4,{"title":191,"description":192,"slug":193,"created_at":194,"publish_at":195,"formatted_created_at":196,"category":197,"links":198,"view_type":85,"video_url":86,"views":201,"likes":189,"lang":89,"comments_count":88,"is_pinned":108},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":199,"image_webp":86,"thumb":200,"thumb_webp":200},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",67940,{"title":203,"description":204,"slug":205,"created_at":206,"publish_at":207,"formatted_created_at":208,"category":209,"links":210,"view_type":85,"video_url":86,"views":215,"likes":173,"lang":89,"comments_count":216,"is_pinned":108},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. Who wouldn’t want to earn a living online?","top-5-tips-to-make-more-money-as-a-content-creator","2022-01-17T17:31:51.000000Z","2026-01-17T11:30:00.000000Z","17.01.2026",{"title":19,"slug":20},{"image":211,"image_webp":212,"thumb":213,"thumb_webp":214},"https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gP8kiumBPpJmQv6SMieXiX1tDetx43VwFfO1P4Ca.webp",41953,1,{"title":218,"description":219,"slug":220,"created_at":221,"publish_at":222,"formatted_created_at":223,"category":224,"links":225,"view_type":187,"video_url":86,"views":230,"likes":173,"lang":89,"comments_count":88,"is_pinned":108},"8 Logo Design Tips for Small Businesses","Your logo tells the story of your business and the values you stand for.","8-logo-design-tips-for-small-businesses","2021-12-04T21:59:52.000000Z","2025-05-05T03:30:00.000000Z","05.05.2025",{"title":15,"slug":16},{"image":226,"image_webp":227,"thumb":228,"thumb_webp":229},"https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Wbx2NtS1CnTupgoQbpFMGspJ5jm4uob2hDOq33r0.webp",41073,[232,233,234,235,236,237,238,239,240,241,242,243,244],{"title":23,"slug":24},{"title":47,"slug":48},{"title":55,"slug":56},{"title":43,"slug":44},{"title":51,"slug":52},{"title":31,"slug":32},{"title":35,"slug":36},{"title":27,"slug":28},{"title":19,"slug":20},{"title":15,"slug":16},{"title":58,"slug":63},{"title":11,"slug":12},{"title":65,"slug":66}]