[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-ai-automation-from-theory-to-reality-we-re-just-getting-started":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":165,"categories":235},{"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},"AI Automation: From Theory to Reality – We're Just Getting Started","Fresh data from Anthropic's recent report on AI automation exposure provides concrete insights, revealing that while AI has the theoretical capability to automate nearly everything in many professions, real-world adoption is still in its infancy.","Anthropic introduces \"observed exposure\" as a key metric to bridge the gap between what AI can do and what it is doing.","For instance, in the \"Computer & Mathematical\" category, 94% of tasks are theoretically feasible for AI automation, but only 33% show observed exposure.","\u003Cp>In online discussions and chat forums, questions about AI's practical applications often arise: "Can you show specific examples of AI usage?" or "What exact functions are AI agents replacing?" The straightforward answer is \u003Cstrong>all of them\u003C/strong> – or at least, the vast majority. But "all" isn't a satisfying response without evidence.\u003C/p>\n\n\u003Cp>Fresh data from Anthropic's recent report on AI automation exposure provides concrete insights, r\u003Ca href=\"https://cdn.sanity.io/files/4zrzovbb/website/dc7bcd0224644fce97cecb7f9e68dcd8434b35f1.pdf\">evealing that while AI has the theoretical capability to automate nearly everything in many professions, real-world adoption is still in its infancy.\u003C/a>\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Understanding "Observed Exposure": A New Metric for AI's Impact\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-11t141145605.webp\" type=\"image/webp\">\u003Cimg alt=\"AI Automation: From Theory to Reality – We're Just Getting Started\" class=\"image-align-right\" height=\"372\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-11t141145605.jpg\" width=\"250\" />\u003C/picture>Anthropic introduces "observed exposure" as a key metric to bridge the gap between what AI \u003Cstrong>can\u003C/strong> do and what it \u003Cstrong>is\u003C/strong> doing. This measure combines theoretical Large Language Model (LLM) capabilities – based on prior research assessing task feasibility – with actual usage data from tools like Claude. It calculates the percentage of tasks in an occupation that are both theoretically automatable and seeing real, automated professional use today.\u003C/p>\n\n\u003Cp>The report highlights a significant divide: For instance, in the "Computer & Mathematical" category, 94% of tasks are theoretically feasible for AI automation, but only 33% show observed exposure.\u003C/p>\n\n\u003Cp>This means we're utilizing just a third of AI's potential in one of the most advanced fields. Across the board, 97% of observed tasks in Claude's usage are theoretically feasible, yet practical hurdles like model limitations, legal barriers, and the need for human oversight keep adoption low.\u003C/p>\n\n\u003Cp>This isn't about AI falling short; it's about diffusion. Tasks rated as fully feasible (e.g., coding or data analysis) dominate usage, but many others remain untapped. The takeaway? AI isn't replacing jobs en masse yet – it's augmenting them selectively, with automation poised for explosive growth as barriers fall.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Most Exposed Occupations: Data-Driven Insights\u003C/strong>\u003C/h4>\n\n\u003Cp>Anthropic's analysis pinpoints occupations where AI exposure is highest, drawing from real usage patterns.\u003C/p>\n\n\u003Cp>\u003Cstrong>Here's a breakdown of the top exposed roles, including observed exposure percentages and leading automated tasks:\u003C/strong>\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/00/photo_2026-03-11_13-54-02.webp\" type=\"image/webp\">\u003Cimg alt=\"AI Automation: From Theory to Reality – We're Just Getting Started\" height=\"225\" src=\"https://cdn.quasa.io/photos/00/photo_2026-03-11_13-54-02.jpg\" width=\"400\" />\u003C/picture>\u003C/p>\n\n\u003Cp>These figures underscore that AI is already automating core functions in knowledge-based roles. Programmers lead with 74.5% exposure, where AI handles coding and maintenance – tasks that once required hours of manual effort. In office and administrative roles, theoretical coverage hits 90%, but observed usage lags, suggesting untapped potential in areas like data entry (67.1%) and customer service (70.1%).\u003C/p>\n\n\u003Cp>Notably, the most exposed workers aren't low-skill laborers; they're often highly educated and well-compensated. Top-quartile exposed individuals earn 47% more on average, with four times the likelihood of holding graduate degrees compared to unexposed groups. Women, white, and Asian workers are overrepresented here, flipping the narrative that AI disruption hits the vulnerable hardest. Instead, it's targeting white-collar professions like finance, law, accounting, and HR – precisely where skeptics often ask, "But what *specific* functions?"\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Real-World Examples: From Analytics to Investment Research\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-11t141218413.webp\" type=\"image/webp\">\u003Cimg alt=\"AI Automation: From Theory to Reality – We're Just Getting Started\" class=\"image-align-right\" height=\"169\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-11t141218413.jpg\" width=\"300\" />\u003C/picture>To make this concrete, consider practical applications. In my experience – and echoed in the report – AI agents like Claude excel at analytics, financial modeling, investment research, and call/deal preparation. These tasks are faster, cheaper, and often higher quality than manual work. For a financial analyst, AI can analyze market data, forecast trends, and generate reports in minutes, freeing humans for strategic decisions.\u003C/p>\n\n\u003Cp>The report validates this: 68% of Claude's usage involves fully feasible tasks, from compiling patient data in medical records (64.7%) to graphical reporting in marketing (64.8%). If you're in an exposed field, AI isn't just a tool – it's a replacement for rote elements, elevating overall productivity.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Quiet Shift: Hiring Slowdowns, Not Mass Unemployment\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/00/image-2026-03-11t141144220.webp\" type=\"image/webp\">\u003Cimg alt=\"AI Automation: From Theory to Reality – We're Just Getting Started\" class=\"image-align-left\" height=\"447\" src=\"https://cdn.quasa.io/photos/00/image-2026-03-11t141144220.jpg\" width=\"300\" />\u003C/picture>Critics might counter, "If AI can do all this, where's the job apocalypse?" The data shows no spike in unemployment for exposed workers since ChatGPT's launch in late 2022. Unemployment rates remain stable, with no detectable differential increase (changes hover near zero).\u003C/p>\n\n\u003Cp>However, the impact is subtler: a 14% drop in hiring rates for young specialists (ages 22-25) in exposed occupations post-ChatGPT. Monthly job-finding rates fell from about 2% to 1.7% for this group, while unexposed roles held steady. This isn't a crisis of layoffs; it's a "quiet replacement" where companies simply stop hiring for automatable roles.\u003C/p>\n\n\u003Cp>Looking ahead, Bureau of Labor Statistics projections to 2034 paint a clearer picture. For every 10 percentage point increase in observed exposure, job growth drops by 0.6 points. Exposed fields like programming face weaker expansion than average, as markets anticipate automation's rise.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/powered-by-ai-assistant-lingguang-a-hand-crafted-ai-economy-emerges-in-china\">Powered by AI Assistant LingGuang, a "Hand-Crafted AI Economy" Emerges in China\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-great-depression-2-0-a-generation-unprepared-for-the-coming-economic-cataclysm\">The Great Depression 2.0: A Generation Unprepared for the Coming Economic Cataclysm\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/mastering-ai-assisted-coding-boris-tane-s-disciplined-workflow-with-claude-code\">Mastering AI-Assisted Coding: Boris Tane's Disciplined Workflow with Claude Code\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/airports-forced-to-make-drastic-change-to-x-ray-machines-after-horror-over-what-they-re-able-to-actually-see\">Airports forced to make drastic change to X-ray machines after horror over what they're able to actually see\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>The Real Challenge: Adaptation, Not Capability\u003C/strong>\u003C/h4>\n\n\u003Cp>The data is clear: AI agents \u003Cstrong>can\u003C/strong> handle most functions – theoretical feasibility exceeds 90% in many categories. The question isn't "if," but "how fast." We're at the dawn of this shift, with observed exposure far below potential.\u003C/p>\n\n\u003Cp>For individuals, the problem is adaptation speed. Take 3-5 of your key work functions this week and run them through an AI agent. Whether it's drafting reports, analyzing data, or handling inquiries, the results will speak louder than any statistic. As Anthropic concludes, monitoring tools like observed exposure can help spot vulnerabilities early, but ultimate success lies in evolving skills – blending AI with human ingenuity to thrive in this new era.\u003C/p>","ai-automation-from-theory-to-reality-we-re-just-getting-started","2026-03-11T13:13:44.000000Z","2026-03-13T09:03:00.000000Z","13.03.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/WCGxuNsDziMPIpo5nSUzVNK33ptzPMMl2nKZ3jkj.jpg","https://cdn.quasa.io/images/news/WCGxuNsDziMPIpo5nSUzVNK33ptzPMMl2nKZ3jkj.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/WCGxuNsDziMPIpo5nSUzVNK33ptzPMMl2nKZ3jkj.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/WCGxuNsDziMPIpo5nSUzVNK33ptzPMMl2nKZ3jkj.webp","small",null,514,0,"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",[97,112,126,139,152],{"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},"“The Classic Product Playbook Is Dead”: What Anthropic’s Head of Product Learned Building Claude","In a wide-ranging interview released this week, Anthropic’s Head of Product sat down to explain how AI has completely shattered traditional product development — and what actually works inside one of the fastest-scaling AI companies on the planet.","the-classic-product-playbook-is-dead-what-anthropic-s-head-of-product-learned-building-claude","2026-04-27T10:04:32.000000Z","2026-04-30T03:54:00.000000Z","30.04.2026",{"title":43,"slug":44},{"image":106,"image_webp":107,"thumb":108,"thumb_webp":109},"https://cdn.quasa.io/images/news/SnsErOeXWmKfshmbfG3GjMfYxgSCY6VzDj9UzIbG.jpg","https://cdn.quasa.io/images/news/SnsErOeXWmKfshmbfG3GjMfYxgSCY6VzDj9UzIbG.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/SnsErOeXWmKfshmbfG3GjMfYxgSCY6VzDj9UzIbG.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/SnsErOeXWmKfshmbfG3GjMfYxgSCY6VzDj9UzIbG.webp",4,false,{"title":113,"description":114,"slug":115,"created_at":116,"publish_at":117,"formatted_created_at":118,"category":119,"links":120,"view_type":86,"video_url":87,"views":125,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"Grok Voice Think Fast 1.0: The $3/Hour Voice AI That’s About to Replace Entire Call Centers","xAI just released Grok Voice Think Fast 1.0 — and the economics of voice AI have officially broken.","grok-voice-think-fast-1-0-the-3-hour-voice-ai-that-s-about-to-replace-entire-call-centers","2026-04-27T09:48:30.000000Z","2026-04-29T11:36:00.000000Z","29.04.2026",{"title":58,"slug":63},{"image":121,"image_webp":122,"thumb":123,"thumb_webp":124},"https://cdn.quasa.io/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.jpg","https://cdn.quasa.io/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CaLws6TKSTHgTelvUiTRfEcaVyOIWzXu77AvSM8G.webp",96,{"title":127,"description":128,"slug":129,"created_at":130,"publish_at":131,"formatted_created_at":118,"category":132,"links":133,"view_type":86,"video_url":87,"views":138,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"DeepSeek-V4: The Open-Source Model That Just Made 1 Million Tokens Routine","DeepSeek has dropped the preview of DeepSeek-V4 — a direct, no-compromise open-source challenger to Claude, GPT-5, and Gemini.","deepseek-v4-the-open-source-model-that-just-made-1-million-tokens-routine","2026-04-27T09:31:03.000000Z","2026-04-29T09:20:00.000000Z",{"title":47,"slug":48},{"image":134,"image_webp":135,"thumb":136,"thumb_webp":137},"https://cdn.quasa.io/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.jpg","https://cdn.quasa.io/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/tbCZ87Xbns1do1OzsCcVqR7Hyb5TxUo0d57URt3Z.webp",111,{"title":140,"description":141,"slug":142,"created_at":143,"publish_at":144,"formatted_created_at":118,"category":145,"links":146,"view_type":86,"video_url":87,"views":151,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"OpenAI’s $10B DeployCo Play: Turning Private Equity Portfolios into an Enterprise AI Launchpad","OpenAI has just made its boldest move yet to crack the enterprise market. Instead of relying on traditional sales teams or pure software licensing, the company is betting big on implementation — and it’s doing so through a massive new joint venture called DeployCo.","openai-s-10b-deployco-play-turning-private-equity-portfolios-into-an-enterprise-ai-launchpad","2026-04-27T09:17:47.000000Z","2026-04-29T06:05:00.000000Z",{"title":43,"slug":44},{"image":147,"image_webp":148,"thumb":149,"thumb_webp":150},"https://cdn.quasa.io/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.jpg","https://cdn.quasa.io/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/FTRf04i8FQ4x4ILvUmSbpmzrD6LzgCZHmqpnMqUj.webp",127,{"title":153,"description":154,"slug":155,"created_at":156,"publish_at":157,"formatted_created_at":118,"category":158,"links":159,"view_type":86,"video_url":87,"views":164,"likes":89,"lang":90,"comments_count":89,"is_pinned":111},"ComfyUI Cracks Open Real Human Faces in Seedance 2.0 — But Is It Really Fixed?","Anyone who has spent time wrestling with Seedance 2.0 in ComfyUI knows the pain. The model is incredibly powerful — cinematic camera control, native audio sync, buttery motion — but the built-in censorship made generating videos with actual human faces a nightmare.","comfyui-cracks-open-real-human-faces-in-seedance-2-0-but-is-it-really-fixed","2026-04-27T09:02:16.000000Z","2026-04-29T03:50:00.000000Z",{"title":27,"slug":28},{"image":160,"image_webp":161,"thumb":162,"thumb_webp":163},"https://cdn.quasa.io/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.jpg","https://cdn.quasa.io/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/isioWpVV24Sw2xRNu9cnOgRXYy28g1ASNCW254ZX.webp",138,[166,179,194,206,221],{"title":167,"description":168,"slug":169,"created_at":170,"publish_at":171,"formatted_created_at":172,"category":173,"links":174,"view_type":86,"video_url":87,"views":177,"likes":178,"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":175,"image_webp":87,"thumb":176,"thumb_webp":176},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",72181,2,{"title":180,"description":181,"slug":182,"created_at":183,"publish_at":184,"formatted_created_at":185,"category":186,"links":187,"view_type":192,"video_url":87,"views":193,"likes":110,"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":188,"image_webp":189,"thumb":190,"thumb_webp":191},"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",71962,{"title":195,"description":196,"slug":197,"created_at":198,"publish_at":199,"formatted_created_at":200,"category":201,"links":202,"view_type":86,"video_url":87,"views":205,"likes":110,"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":203,"image_webp":87,"thumb":204,"thumb_webp":204},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",69545,{"title":207,"description":208,"slug":209,"created_at":210,"publish_at":211,"formatted_created_at":212,"category":213,"links":214,"view_type":86,"video_url":87,"views":219,"likes":178,"lang":90,"comments_count":220,"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":215,"image_webp":216,"thumb":217,"thumb_webp":218},"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",43434,1,{"title":222,"description":223,"slug":224,"created_at":225,"publish_at":226,"formatted_created_at":227,"category":228,"links":229,"view_type":192,"video_url":87,"views":234,"likes":178,"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":230,"image_webp":231,"thumb":232,"thumb_webp":233},"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",42447,[236,237,238,239,240,241,242,243,244,245,246,247,248],{"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}]