[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-o-ring-automation-why-ai-might-not-destroy-jobs-gradually-but-could-end-them-suddenly":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":96,"popular_news":163,"categories":234},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":46,"links":81,"view_type":86,"video_url":87,"views":88,"likes":89,"lang":90,"comments_count":89,"category":91},"O-Ring Automation: Why AI Might Not Destroy Jobs Gradually — But Could End Them Suddenly","In the ongoing debate over artificial intelligence and employment, apocalyptic forecasts abound. Reports from think tanks, consultancies, and policymakers often warn that generative AI could automate vast swaths of white-collar work, displacing millions in fields from law and medicine to software development and creative industries.","In an era of breathless headlines about job apocalypse, \"O-Ring Automation\" offers a sobering recalibration: AI may not hollow out occupations incrementally.","In the ongoing debate over artificial intelligence and employment, apocalyptic forecasts abound.","\u003Cp>In the ongoing debate over artificial intelligence and employment, apocalyptic forecasts abound. Reports from think tanks, consultancies, and policymakers often warn that generative AI could automate vast swaths of white-collar work, \u003Ca href=\"https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6019718\">displacing millions in fields from law and medicine to software development and creative industries.\u003C/a>\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-19t111439464.webp\" type=\"image/webp\">\u003Cimg alt=\"O-Ring Automation: Why AI Might Not Destroy Jobs Gradually — But Could End Them Suddenly\" class=\"image-align-left\" height=\"298\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-19t111439464.jpg\" width=\"200\" />\u003C/picture>Yet a new working paper from January 2026 challenges this narrative's foundational assumptions. Titled "\u003Ca href=\"https://www.nber.org/papers/w34639\">O-Ring Automation\u003C/a>" (NBER Working Paper No. 34639), economists Joshua S. Gans (University of Toronto) and Avi Goldfarb (Rotman School of Management, University of Toronto) argue that conventional risk assessments dramatically overstate displacement by treating job tasks as independent and separable — when in reality, they are deeply complementary.\u003C/p>\n\n\u003Cp>The paper draws its name from the famous \u003Ca href=\"https://ideas.repec.org/p/nbr/nberwo/34639.html\">"O-ring theory\u003C/a>" introduced by Michael Kremer in 1993, which posits that production quality depends on the multiplicative interaction of multiple tasks: if one fails (like a faulty O-ring in the Challenger disaster), the entire output suffers. In this framework, tasks aren't additive; their qualities multiply.\u003C/p>\n\n\u003Cp>Automating one task doesn't simply remove 10% of a job if that task represents one of ten equal components — it reshapes the value of everything else.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-19t111438027.webp\" type=\"image/webp\">\u003Cimg alt=\"O-Ring Automation: Why AI Might Not Destroy Jobs Gradually — But Could End Them Suddenly\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-19t111438027.jpg\" width=\"300\" />\u003C/picture>Traditional exposure indices, such as those popularized in studies by Frey & Osborne (2013) or later adaptations for AI, calculate automation risk by averaging the automatability of individual tasks within an occupation. If AI can handle 90% of tasks in a role, the model predicts roughly 90% job loss. But Gans and Goldfarb counter that this logic breaks down under complementarity.\u003C/p>\n\n\u003Cp>When machines take over routine or low-variance tasks, human workers don't become redundant; instead, they reallocate their fixed time endowment to the remaining manual bottlenecks. This "focus" mechanism amplifies the productivity and value of those irreplaceable human elements.\u003C/p>\n\n\u003Cp>A canonical historical parallel illustrates the point: the introduction of automated teller machines (ATMs) in the 1970s and their widespread adoption by the 1990s. Conventional intuition suggested ATMs would eliminate bank tellers en masse.\u003C/p>\n\n\u003Cp>Instead, teller employment in the United States remained stable or even grew for decades after ATMs proliferated (peaking around 2000 before gradual declines tied to broader banking consolidation).\u003C/p>\n\n\u003Cp>Why? ATMs handled routine cash dispensing and deposits efficiently, freeing tellers to shift toward higher-value activities — building client relationships, cross-selling products, advising on loans, and resolving complex issues.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-19t111421906.webp\" type=\"image/webp\">\u003Cimg alt=\"O-Ring Automation: Why AI Might Not Destroy Jobs Gradually — But Could End Them Suddenly\" class=\"image-align-left\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-19t111421906.jpg\" width=\"300\" />\u003C/picture>Banks expanded branches into underserved areas, leveraging cost savings to reach more customers, and tellers evolved into "relationship bankers" or "customer relationship team" members. The job didn't vanish; it transformed, often requiring new skills in sales, empathy, and interpersonal communication.\u003C/p>\n\n\u003Cp>Similar patterns emerge in other domains. Radiologists, once burdened with routine image screening, can now focus on ambiguous cases and patient consultations when AI tools flag anomalies with high accuracy.\u003C/p>\n\n\u003Cp>Paralegals and junior lawyers, relieved of document review drudgery by legal AI, devote more time to strategy, negotiation, and client counseling — tasks where human judgment, creativity, and ethical nuance remain superior. Data analysts augmented by AI tools produce deeper insights faster, concentrating on interpretation and business strategy rather than raw data cleaning.\u003C/p>\n\n\u003Cp>The implications are profound. Partial automation can increase labor income by scaling the economic return to bottleneck human tasks. As machines improve smoothly, adoption often occurs discretely and in bundles — firms wait until AI reliably handles a critical mass of complementary tasks before fully integrating, leading to sudden shifts rather than gradual erosion.\u003C/p>\n\n\u003Cp>Until AI closes every bottleneck in the production chain, workers in affected occupations may become more valuable, commanding higher wages or expanded roles.\u003C/p>\n\n\u003Cp>Yet the authors highlight a double-edged sword. This same complementarity creates the potential for abrupt collapse. So long as meaningful human-exclusive bottlenecks persist, professions can flourish under AI augmentation. But if (or when) technology advances to substitute the final irreplaceable task — closing the entire O-ring loop—displacement could be rapid and near-total. Instead of slow decline, we might witness boom followed by bust: rising employment and productivity until the tipping point, then sudden obsolescence.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-19t110213381.webp\" type=\"image/webp\">\u003Cimg alt=\"O-Ring Automation: Why AI Might Not Destroy Jobs Gradually — But Could End Them Suddenly\" class=\"image-align-right\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-19t110213381.jpg\" width=\"300\" />\u003C/picture>Ironically, Gans and Goldfarb embody their own thesis. While the paper does not explicitly state it in the abstract or main text, contemporary discussions note that many such economic analyses now leverage large language models for drafting, editing, and idea refinement — tools like \u003Ca href=\"https://quasa.io/media/chatgpt-tops-apple-s-2025-most-downloaded-free-iphone-apps-list-with-google-claiming-half-the-top-10\">ChatGPT-5 variants\u003C/a> or Claude Opus equivalents.\u003C/p>\n\n\u003Cp>The researchers themselves reportedly used advanced AI systems to assist in writing the paper, a meta-example of focus: AI handles structuring, literature synthesis, and prose polishing, allowing economists to concentrate on conceptual innovation, model rigor, and policy insight.\u003C/p>\n\n\u003Cp>The paper's critique extends to policy. Linear exposure metrics, widely used to guide reskilling programs or universal basic income debates, likely exaggerate risks in complementary-task environments. Policymakers should instead examine bottleneck structures, time reallocation dynamics, and the pace of bundled adoption.\u003C/p>\n\n\u003Cp>As AI capabilities accelerate — OpenAI's o1 series, \u003Ca href=\"https://quasa.io/media/claude-cowork-anthropic-s-ai-agent-for-streamlining-non-technical-workflows\">Anthropic's Claude 4 family\u003C/a>, and Google's Gemini advancements all demonstrate leaps in multi-step reasoning — the window for "focus-driven" productivity gains may narrow, but the transition could prove bumpier and less predictable than feared.\u003C/p>\n\n\u003Cp>In an era of breathless headlines about job apocalypse, "O-Ring Automation" offers a sobering recalibration: AI may not hollow out occupations incrementally. It could supercharge them — right up to the moment it doesn't. Understanding complementarity isn't just academic; it could determine whether the AI era becomes one of widespread augmentation or abrupt rupture.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-01-19t111431894.webp\" type=\"image/webp\">\u003Cimg alt=\"O-Ring Automation: Why AI Might Not Destroy Jobs Gradually — But Could End Them Suddenly\" class=\"image-align-left\" height=\"169\" src=\"https://cdn.quasa.io/photos/00/image-2026-01-19t111431894.jpg\" width=\"300\" />\u003C/picture>\u003Cstrong>Also read:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/cursor-s-ai-revolution-building-a-browser-from-scratch-with-gpt-5-2-agents-in-just-one-week\">Cursor's AI Revolution: Building a Browser from Scratch with GPT-5.2 Agents in Just One Week\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/ru/media/linkedin-has-become-the-internet-s-unofficial-dating-background-check-tool\">LinkedIn Has Become the Internet’s Unofficial Dating Background-Check Tool\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/ru/media/the-religious-ux-revolution-haramblur-and-the-fusion-of-faith-and-tech\">The Religious UX Revolution: HaramBlur and the Fusion of Faith and Tech\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/scientists-reverse-alzheimer-s-synapse-damage-in-mice\">Scientists Reverse Alzheimer's Synapse Damage in Mice\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Cp>Thank you!\u003C/p>","o-ring-automation-why-ai-might-not-destroy-jobs-gradually-but-could-end-them-suddenly","2026-01-19T10:18:59.000000Z","2026-01-26T11:07:00.000000Z","26.01.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/bWGwFJFrv20Jhik8MGWzrDmjg65UObsLIdAYmjaO.jpg","https://cdn.quasa.io/images/news/bWGwFJFrv20Jhik8MGWzrDmjg65UObsLIdAYmjaO.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/bWGwFJFrv20Jhik8MGWzrDmjg65UObsLIdAYmjaO.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/bWGwFJFrv20Jhik8MGWzrDmjg65UObsLIdAYmjaO.webp","small",null,1003,0,"en",{"id":46,"title":47,"slug":48,"meta_title":92,"meta_description":93,"meta_keywords":93,"deleted_at":87,"created_at":94,"updated_at":95,"lang":90},"Artificial Intelligence | AI Breakthroughs, Agents & Tools | QUASA","Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2026-04-22T14:56:34.000000Z",[97,112,125,137,150],{"title":98,"description":99,"slug":100,"created_at":101,"publish_at":102,"formatted_created_at":103,"category":104,"links":105,"view_type":86,"video_url":87,"views":110,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"Death Tech in China: Family Creates AI Clone of Deceased Son to Protect Elderly Mother with Heart Condition","In a poignant and increasingly common example of “death tech” in China, a family has turned to artificial intelligence to shield an 80-year-old woman from the devastating news of her only son’s death.","death-tech-in-china-family-creates-ai-clone-of-deceased-son-to-protect-elderly-mother-with-heart-condition","2026-04-22T08:14:27.000000Z","2026-04-25T11:07:00.000000Z","25.04.2026",{"title":43,"slug":44},{"image":106,"image_webp":107,"thumb":108,"thumb_webp":109},"https://cdn.quasa.io/images/news/eCGL1N69PAahxTbJqNJH7pcF8DfWS4DsVRHmZ7pC.jpg","https://cdn.quasa.io/images/news/eCGL1N69PAahxTbJqNJH7pcF8DfWS4DsVRHmZ7pC.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/eCGL1N69PAahxTbJqNJH7pcF8DfWS4DsVRHmZ7pC.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/eCGL1N69PAahxTbJqNJH7pcF8DfWS4DsVRHmZ7pC.webp",36,false,{"title":113,"description":114,"slug":115,"created_at":116,"publish_at":117,"formatted_created_at":103,"category":118,"links":119,"view_type":86,"video_url":87,"views":124,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"The $500,000 Corporate Retreat from Hell: Plex’s Survivor Trip in Honduras Nearly Killed the Team","The $500,000 Corporate Retreat from Hell: How Plex’s “Survivor”-Themed Trip in Honduras Nearly Killed the Team (But Actually Bonded Them Forever)","the-500-000-corporate-retreat-from-hell-plex-s-survivor-trip-in-honduras-nearly-killed-the-team","2026-04-22T08:03:20.000000Z","2026-04-25T09:52:00.000000Z",{"title":27,"slug":28},{"image":120,"image_webp":121,"thumb":122,"thumb_webp":123},"https://cdn.quasa.io/images/news/gKi9YgxnNHSmqlIlVIvtCakxglLHMQjfc5Spi8ct.jpg","https://cdn.quasa.io/images/news/gKi9YgxnNHSmqlIlVIvtCakxglLHMQjfc5Spi8ct.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/gKi9YgxnNHSmqlIlVIvtCakxglLHMQjfc5Spi8ct.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/gKi9YgxnNHSmqlIlVIvtCakxglLHMQjfc5Spi8ct.webp",42,{"title":126,"description":127,"slug":128,"created_at":129,"publish_at":129,"formatted_created_at":103,"category":130,"links":131,"view_type":86,"video_url":87,"views":136,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"Inside the Solana Trading Bot Arms Race: Who Wins When Everyone Has the Same Speed?","There is a war happening on Solana right now, and most people watching the charts have no idea how it works. Every time a new memecoin launches on Pump.fun or liquidity gets added to a Raydium pool, dozens of automated bots compete to be the first buyer. The winner gets in at the lowest price. Everyone else pays more — sometimes dramatically more. The entire battle unfolds in under two seconds.","inside-the-solana-trading-bot-arms-race-who-wins-when-everyone-has-the-same-speed","2026-04-25T07:20:56.000000Z",{"title":58,"slug":63},{"image":132,"image_webp":133,"thumb":134,"thumb_webp":135},"https://cdn.quasa.io/images/news/L0T5zVXenp3SBYYimb8xU7vktCyCG6QUp1VtjZuu.jpg","https://cdn.quasa.io/images/news/L0T5zVXenp3SBYYimb8xU7vktCyCG6QUp1VtjZuu.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/L0T5zVXenp3SBYYimb8xU7vktCyCG6QUp1VtjZuu.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/L0T5zVXenp3SBYYimb8xU7vktCyCG6QUp1VtjZuu.webp",54,{"title":138,"description":139,"slug":140,"created_at":141,"publish_at":142,"formatted_created_at":103,"category":143,"links":144,"view_type":86,"video_url":87,"views":149,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"AI Office Warfare in China: Employees Train AI to Replace Colleagues — Then Fight Back with Sabotage Tools","In Chinese tech companies, a quiet but ruthless corporate war has broken out — and artificial intelligence has become the ultimate weapon in office politics.","ai-office-warfare-in-china-employees-train-ai-to-replace-colleagues-then-fight-back-with-sabotage-tools","2026-04-22T07:22:47.000000Z","2026-04-25T06:14:00.000000Z",{"title":19,"slug":20},{"image":145,"image_webp":146,"thumb":147,"thumb_webp":148},"https://cdn.quasa.io/images/news/4J5ItzmfW5ilMKxjISYPE0jQlZLKjVIPRF6i1a7j.jpg","https://cdn.quasa.io/images/news/4J5ItzmfW5ilMKxjISYPE0jQlZLKjVIPRF6i1a7j.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/4J5ItzmfW5ilMKxjISYPE0jQlZLKjVIPRF6i1a7j.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/4J5ItzmfW5ilMKxjISYPE0jQlZLKjVIPRF6i1a7j.webp",62,{"title":151,"description":152,"slug":153,"created_at":154,"publish_at":155,"formatted_created_at":103,"category":156,"links":157,"view_type":86,"video_url":87,"views":162,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"China Just Gamified School with Digital Pets — And Kids Are Begging for More Homework","China has gamified school with digital pets — and students are loving it.In a creative twist on traditional classroom motivation, a teacher in eastern China has turned homework and good behavior into a real-life Tamagotchi experience. Instead of nagging students to study, she lets them care for virtual companions that thrive only when the kids do their work.","china-just-gamified-school-with-digital-pets-and-kids-are-begging-for-more-homework","2026-04-22T07:09:46.000000Z","2026-04-25T03:58:00.000000Z",{"title":58,"slug":63},{"image":158,"image_webp":159,"thumb":160,"thumb_webp":161},"https://cdn.quasa.io/images/news/ioOYG0viQEqmDoy0nmvij8rQLYtfYSoykKqXZYE3.jpg","https://cdn.quasa.io/images/news/ioOYG0viQEqmDoy0nmvij8rQLYtfYSoykKqXZYE3.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/ioOYG0viQEqmDoy0nmvij8rQLYtfYSoykKqXZYE3.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/ioOYG0viQEqmDoy0nmvij8rQLYtfYSoykKqXZYE3.webp",73,[164,177,193,205,220],{"title":165,"description":166,"slug":167,"created_at":168,"publish_at":169,"formatted_created_at":170,"category":171,"links":172,"view_type":86,"video_url":87,"views":175,"likes":176,"lang":90,"comments_count":89,"is_pinned":111},"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":173,"image_webp":87,"thumb":174,"thumb_webp":174},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",71591,2,{"title":178,"description":179,"slug":180,"created_at":181,"publish_at":182,"formatted_created_at":183,"category":184,"links":185,"view_type":190,"video_url":87,"views":191,"likes":192,"lang":90,"comments_count":89,"is_pinned":111},"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":186,"image_webp":187,"thumb":188,"thumb_webp":189},"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",71368,4,{"title":194,"description":195,"slug":196,"created_at":197,"publish_at":198,"formatted_created_at":199,"category":200,"links":201,"view_type":86,"video_url":87,"views":204,"likes":192,"lang":90,"comments_count":89,"is_pinned":111},"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":202,"image_webp":87,"thumb":203,"thumb_webp":203},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",68976,{"title":206,"description":207,"slug":208,"created_at":209,"publish_at":210,"formatted_created_at":211,"category":212,"links":213,"view_type":86,"video_url":87,"views":218,"likes":176,"lang":90,"comments_count":219,"is_pinned":111},"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":214,"image_webp":215,"thumb":216,"thumb_webp":217},"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",42904,1,{"title":221,"description":222,"slug":223,"created_at":224,"publish_at":225,"formatted_created_at":226,"category":227,"links":228,"view_type":190,"video_url":87,"views":233,"likes":176,"lang":90,"comments_count":89,"is_pinned":111},"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":229,"image_webp":230,"thumb":231,"thumb_webp":232},"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",41941,[235,236,237,238,239,240,241,242,243,244,245,246,247],{"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}]