[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-survey-shows-97-7-of-hiring-leaders-changed-talent-locations-due-to-ai":45,"article-ads":206},{"data":4},[5,32,39],{"name":6,"slug":7,"categories":8},"Technology","tech",[9,12,16,20,24,28],{"id":10,"title":6,"slug":11},28,"technology",{"id":13,"title":14,"slug":15},37,"Creator Economy","creator-economy",{"id":17,"title":18,"slug":19},20,"Work","work",{"id":21,"title":22,"slug":23},22,"Finance","finance",{"id":25,"title":26,"slug":27},31,"YouTube Blog","youtube-blog",{"id":29,"title":30,"slug":31},21,"For newbies","for-newbies",{"name":33,"slug":34,"categories":35},"News","news",[36],{"id":37,"title":33,"slug":38},18,"quasanews",{"name":40,"slug":41,"categories":42},"Business","business",[43],{"id":44,"title":40,"slug":41},16,{"post":46,"published_news":75,"popular_news":127,"categories":197},{"title":47,"description":48,"meta_title":49,"meta_description":50,"meta_keywords":51,"text":52,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category_id":17,"links":57,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"category":67},"Survey Shows 97.7% of Hiring Leaders Changed Talent Locations Due to AI","A May 2026 survey of 3,250 leaders finds that AI adoption has altered hiring locations for nearly all respondents, driving 40% to open new country operations amid talent shortages.","AI Talent Shortages Force Global Hiring Shifts in 2026 Survey","97.7% of hiring leaders report AI changing talent locations in Remote.com's survey of 3,250 leaders. Data covers new country operations, missed goals, and EOR role.","AI talent hiring, global recruitment, EOR solutions, AI talent shortage, international hiring, Remote.com survey, 2026 hiring trends, cross-border employment","\u003Cp>The May 2026 survey released by Remote.com on July 16, 2026, indicates that 97.7% of 3,250 hiring leaders across eight countries have experienced a change in talent sourcing locations due to AI adoption. This statistic reflects a fundamental shift in how companies approach recruitment for specialized roles.\u003C/p>\u003Cp>AI talent scarcity has led to 72% of leaders missing business goals, pushing organizations to explore international options at an accelerated pace. The use of EOR services is highlighted as a way to enable this expansion without traditional delays \u003Ca href=\"https://remote.com/blog/how-to-hire-ai-talent\" target=\"_blank\" rel=\"nofollow noopener\">as detailed in the survey report\u003C/a>.\u003C/p>\u003Ch3>Survey Methodology and Scope\u003C/h3>\u003Cp>The survey involved 3,250 hiring leaders from the United Kingdom, United States, Spain, Singapore, Netherlands, Germany, France, and Australia. It was carried out in May 2026 with results published shortly after. The methodology focused on direct questions about location changes to capture precise shifts in practice.\u003C/p>\u003Cp>Leaders were selected based on their responsibility for recruitment decisions, ensuring responses reflect operational realities rather than theoretical views. This approach provides a snapshot of current challenges in AI talent acquisition across diverse markets. The eight countries represent a mix of established and emerging tech ecosystems, allowing for cross-market comparisons on how AI influences hiring geography.\u003C/p>\u003Cp>One limitation is the potential for selection bias, as the survey was commissioned by a provider of EOR services, which may have drawn more responses from companies already considering or engaged in international hiring. The geographic restriction to eight countries means the findings may not apply to regions with different economic or regulatory environments. Smaller firms without dedicated recruitment staff fall outside the sample, limiting applicability to very early-stage organizations.\u003C/p>\u003Cp>The data collection occurred during a period of rapid AI development, which likely influenced the high percentage of affirmative responses. Companies in these markets face varying levels of domestic talent availability, contributing to the reported changes. Questions probed both past adaptations and future expectations to build a comprehensive picture of evolving strategies.\u003C/p>\u003Cp>Forward-looking questions about end-of-2026 expectations offer a view into planned strategies, but these remain subject to change based on economic conditions and talent market dynamics. Readers should treat these projections as indicative rather than definitive outcomes. The survey design emphasizes quantitative percentages over qualitative narratives, which aids in tracking trends but leaves room for deeper exploration of individual company contexts.\u003C/p>\u003Cp>Overall, the scope allows for comparison across countries but requires caution when generalizing to smaller organizations or those without dedicated HR functions. The timing aligns with increased AI integration across industries, making the results particularly relevant for current planning cycles.\u003C/p>\u003Ch3>Core Finding: Near-Universal Shift in Hiring Locations\u003C/h3>\u003Cp>97.7% of the surveyed leaders stated that AI adoption has changed where they hire. Breakdowns by country show high consistency, with Singapore at 100%, the US at 99.2%, the Netherlands at 99.0%, Germany at 99.4%, the UK at 96.4%, Spain at 97.4%, Australia at 97.6%, and France at 94.0%. This near-universal response points to AI talent being spread across multiple regions rather than concentrated in historical tech hubs.\u003C/p>\u003Cp>The mechanics behind this shift stem from the specialized nature of AI skills, which require expertise in areas like machine learning and data modeling that are not evenly distributed globally. Companies must therefore update their recruitment strategies to include international candidates as a core component. The finding challenges assumptions from a decade ago about talent availability in specific locations. It suggests that recruitment planning now requires a global perspective from the outset.\u003C/p>\u003Cp>Leaders in all surveyed markets appear to face similar constraints in local AI talent pools, driving the reported changes. Criteria for evaluating new sourcing locations include the density of qualified professionals, alignment with project timelines, and compatibility with existing team structures. When assessing options, organizations weigh factors such as time zone overlap and cultural fit to maintain productivity in distributed teams.\u003C/p>\u003Cp>Limitations of the data include its reliance on self-reported responses from leaders who may overstate changes to reflect proactive strategies. The survey does not capture the exact number of hires moved or the success rates of new international placements. In a conditional situation where a European firm identifies gaps in local AI expertise, it might begin sourcing from Asia-Pacific markets to fill roles more quickly.\u003C/p>\u003Cp>A common error involves assuming that all AI talent resides in one or two dominant countries, which leads to prolonged vacancies and delayed projects. Another frequent mistake is neglecting to verify the quality of talent pools in new regions before committing resources, resulting in mismatched hires that require additional training.\u003C/p>\u003Cp>The data underscores that the traditional hiring map no longer holds, forcing a reevaluation of where and how talent is pursued. Companies that recognize this early can adjust their pipelines accordingly.\u003C/p>\u003Ch3>Talent Shortages Driving Business Impact\u003C/h3>\u003Cp>72% of leaders indicated they missed key business goals in the past 12 months because of AI talent shortages. This direct connection between scarcity and performance highlights the stakes involved in hiring location decisions. Shortages in AI skills affect project timelines and innovation capacity in organizations of various sizes.\u003C/p>\u003Cp>The survey data positions this as a widespread issue that local hiring alone cannot resolve. Business leaders report that delays in filling roles for algorithm development or system optimization directly impact revenue targets and competitive positioning. The mechanics involve a mismatch between rapid AI adoption rates and the slower growth of domestic skill pipelines in many markets.\u003C/p>\u003Cp>Criteria for prioritizing international sourcing include the criticality of the role to core operations and the projected time to productivity for local candidates. Organizations evaluate whether the cost of delayed projects exceeds the investment in global recruitment infrastructure. When shortages persist, companies often shift focus to regions with stronger educational programs in data science and related fields.\u003C/p>\u003Cp>Limitations arise because the 72% figure aggregates responses without breaking down the severity of missed goals or the specific AI sub-skills involved. The data does not distinguish between temporary shortages and structural deficits in the talent market. In a conditional situation where a mid-sized company misses a product launch deadline due to unfilled AI positions, it might accelerate plans to hire across borders.\u003C/p>\u003Cp>A typical mistake is underestimating the duration of local talent searches, which compounds the business impact over multiple quarters. Another error occurs when firms ignore the link between talent gaps and goal attainment, continuing with domestic-only strategies despite clear evidence of shortfalls.\u003C/p>\u003Cp>The impact is not limited to tech firms but extends to any company integrating AI into operations. Addressing these shortages requires a systematic review of hiring geographies rather than incremental adjustments.\u003C/p>\u003Ch3>Company Adaptations: New Markets and Scaling\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/xqJzN2C6ozPK0hrZJ0ytTQaaS4uBNKm2NbZrZR9d.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-left\" src=\"https://cdn.quasa.io/images/news/xqJzN2C6ozPK0hrZJ0ytTQaaS4uBNKm2NbZrZR9d.jpg\" alt=\"Company Adaptations: New Markets and Scaling\" width=\"300\">\u003C/picture>\u003Cp>40% of the companies surveyed have opened operations in entirely new countries to reach AI talent, with another 58% scaling hiring globally within existing markets. Nearly half expect that by the end of 2026 the majority of new hires will be outside their primary country. These figures demonstrate a rapid evolution from domestic-focused to globally distributed hiring models.\u003C/p>\u003Cp>The expectation for 2026 suggests that international recruitment will become standard practice for many organizations. Opening new operations involves significant investment in legal and administrative setup, which explains why not all companies pursue this option immediately. The distinction between new market entry and scaling existing ones shows varied levels of commitment to global expansion.\u003C/p>\u003Cp>Criteria for deciding between new country operations and scaling include the availability of established compliance frameworks in current markets and the urgency of talent needs. Companies assess regulatory ease, tax implications, and the speed of entity setup before committing to expansion. When scaling within known markets proves insufficient, the move to new countries becomes necessary to access untapped pools.\u003C/p>\u003Cp>Limitations of these statistics include their basis in a single survey wave, which may reflect temporary market conditions rather than long-term trends. The 40% and 58% figures do not account for companies that attempted expansions but later scaled back due to operational challenges. In a conditional situation where a firm projects continued AI skill gaps, it could allocate budget for new entity formation in a high-talent region while maintaining core operations domestically.\u003C/p>\u003Cp>A common error is rushing into new market entry without adequate preparation for local employment laws, leading to compliance issues that slow hiring. Another mistake involves over-relying on scaling existing footprints when those markets lack sufficient AI expertise, resulting in repeated recruitment failures.\u003C/p>\u003Cp>The data illustrates that adaptation strategies must balance speed with sustainability to avoid resource strain. Organizations benefit from mapping their talent requirements against global availability before selecting an approach.\u003C/p>\u003Ch3>Geographic and Strategic Variations by Home Country\u003C/h3>\u003Cp>US companies report the highest rate of opening new country operations at 52.8%, with France at 48.2% and Germany at 23.6%. These differences may relate to the size of domestic AI talent markets and existing international presence. Companies from the US appear more aggressive in establishing new footprints, possibly due to larger scale and resource availability.\u003C/p>\u003Cp>European companies show more variation, with some preferring to expand within known markets. The data illustrates that home country context influences the choice between bold new entries and incremental scaling. Strategic decisions also depend on regulatory ease and talent quality perceptions in potential new locations.\u003C/p>\u003Cp>Criteria for selecting target countries often include proximity to existing operations, shared language or time zones, and established AI research communities. Firms evaluate these factors to minimize integration friction and maximize the return on expansion efforts. When home markets offer limited options, leaders prioritize regions with growing AI education pipelines.\u003C/p>\u003Cp>Limitations include the absence of data on why certain countries show lower expansion rates, such as Germany at 23.6%. The survey does not explore whether these differences stem from cultural preferences or structural barriers. In a conditional situation where a US-based organization faces acute shortages, it might target multiple new countries simultaneously to diversify sourcing.\u003C/p>\u003Cp>A typical mistake is applying a uniform global strategy without accounting for home country variations, which can lead to suboptimal resource allocation. Another error involves overlooking the influence of domestic regulations on the feasibility of international moves.\u003C/p>\u003Cp>The patterns suggest that companies with larger home bases can afford more experimental expansions, while others adopt more measured approaches. This variation highlights the need for tailored strategies based on organizational origin.\u003C/p>\u003Ch3>Differences by Company Size\u003C/h3>\u003Cp>Enterprises with 500 to 749 employees are most likely to open operations in new countries at 43.2%. Larger enterprises with 1,000 or more employees tend to reshuffle roles within existing international operations at a rate of 61%. Smaller mid-sized firms may see new country entry as necessary to access talent not available locally.\u003C/p>\u003Cp>Larger firms can leverage their scale to redistribute positions across current global sites more efficiently. This split indicates that hiring approaches are tailored to organizational resources and existing infrastructure. Both strategies aim to address the same underlying talent scarcity but through different operational paths.\u003C/p>\u003Cp>Criteria for choosing a size-appropriate strategy include the maturity of current global presence and the availability of internal relocation programs. Mid-sized companies often prioritize new market entry when their existing footprint lacks diversity in talent sources. Larger entities focus on optimization within established structures to control costs.\u003C/p>\u003Cp>Limitations of the size-based findings include the broad employee brackets, which may mask differences within categories such as between 500-employee and 749-employee firms. The data does not provide details on the specific roles being reshuffled or newly sourced. In a conditional situation where a 600-employee company encounters persistent AI gaps, it could initiate new country operations while monitoring outcomes closely.\u003C/p>\u003Cp>A common error is assuming that larger size always enables easier global hiring, when in fact it can lead to bureaucratic delays in role redistribution. Another mistake involves smaller firms attempting expansions without sufficient administrative support, resulting in compliance oversights.\u003C/p>\u003Cp>The differences underscore that no single approach fits all organizations, and decisions should align with internal capabilities. Companies that match their strategy to size tend to achieve faster results in addressing shortages.\u003C/p>\u003Ch3>Employment Infrastructure as Bottleneck and Enabler\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/RFIQRvhV8M8ABGxG278LAMgpfxa7adU56k2niifD.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-right\" src=\"https://cdn.quasa.io/images/news/RFIQRvhV8M8ABGxG278LAMgpfxa7adU56k2niifD.jpg\" alt=\"Discussion on employment infrastructure for international AI hires\" width=\"300\">\u003C/picture>\u003Cp>Once talent locations are identified, the bottleneck shifts to employment compliance and payroll setup in new jurisdictions. Establishing a local entity can delay hiring by several months, impacting the ability to secure top AI candidates quickly. EOR solutions allow companies to hire employees in new countries under the EOR's local entity, handling legal and tax obligations.\u003C/p>\u003Cp>This reduces the time from decision to onboarding. The survey context notes that infrastructure readiness is key to capitalizing on the identified shifts in hiring locations. Companies evaluating global hiring must weigh the speed of EOR against the long-term control of direct entity establishment.\u003C/p>\u003Cp>Criteria for selecting an EOR provider include the breadth of supported countries, the transparency of fee structures, and the provider's track record with AI-related roles. Organizations assess these elements to ensure seamless integration with their existing processes. When compliance timelines are critical, EOR options often become the preferred path over building entities from scratch.\u003C/p>\u003Cp>Limitations include the commercial context of the source, which positions EOR as a solution while the raw data focuses on hiring location changes. The survey does not quantify the exact time savings achieved through EOR use. In a conditional situation where a company needs to onboard an AI specialist in a new market within weeks, it might engage an EOR to bypass entity formation delays.\u003C/p>\u003Cp>A typical mistake is underestimating the complexity of local labor laws even when using an EOR, which can lead to unexpected adjustments in contracts. Another error involves selecting providers without verifying their coverage in the specific target country, causing last-minute pivots.\u003C/p>\u003Cp>The shift from sourcing to onboarding speed highlights infrastructure as both a barrier and a facilitator. Effective use of these tools enables companies to act on the survey's location insights without prolonged setup periods.\u003C/p>\u003Ch3>Broader Implications\u003C/h3>\u003Cp>The data suggests that companies prioritizing speed in AI talent acquisition will gain advantages in project delivery and market positioning. Workers in AI fields may find more opportunities with international employers without needing to relocate. Countries with emerging AI talent pools could benefit from increased demand, while those with shortages may see talent outflows.\u003C/p>\u003Cp>A practical step for organizations is to map their current AI hiring needs against the survey's findings on location changes and assess suitable global employment partners. Monitoring updates to such surveys can help refine strategies as the AI talent landscape continues to evolve. The near-universal shift indicates that domestic-only hiring models are becoming less viable for AI-dependent functions.\u003C/p>\u003Cp>Criteria for ongoing adaptation include regular reviews of talent market data and flexibility in employment structures. Companies that incorporate these elements into planning reduce the risk of repeated shortages. Limitations of the broader implications stem from the forward-looking nature of some projections, which depend on sustained AI investment levels.\u003C/p>\u003Cp>In a conditional situation where an organization tracks its hiring outcomes against the 97.7% benchmark, it can identify gaps in its own geographic strategy. A common error is treating the survey results as a one-time alert rather than a signal for continuous adjustment in recruitment approaches.\u003C/p>\u003Cp>The findings point to a more distributed global talent ecosystem, where success depends on proactive infrastructure decisions and accurate assessment of location-specific opportunities.\u003C/p>","survey-shows-97-7-of-hiring-leaders-changed-talent-locations-due-to-ai","2026-07-17T12:57:14.000000Z","2026-07-17T15:38:00.000000Z","17.07.2026",{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},"https://cdn.quasa.io/images/news/zxlesUsEErPOFGED0zF3ECXXf3tXBHSwzXzHY7tW.jpg","https://cdn.quasa.io/images/news/zxlesUsEErPOFGED0zF3ECXXf3tXBHSwzXzHY7tW.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/zxlesUsEErPOFGED0zF3ECXXf3tXBHSwzXzHY7tW.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/zxlesUsEErPOFGED0zF3ECXXf3tXBHSwzXzHY7tW.webp","large",null,14,0,"en",{"id":17,"title":18,"slug":19,"meta_title":68,"meta_description":69,"meta_keywords":70,"topic_search_prompt":71,"show_on_homepage":72,"deleted_at":63,"created_at":73,"updated_at":74,"lang":66},"Remote Work, Freelancing and Careers | QUASA","Remote and hybrid work, freelancing, ways to earn, careers and labor-market changes around the world.","remote work, freelancing, earnings, hybrid work, careers","Ways to earn, remote and hybrid work, freelancing, labor markets in different countries, working from home and careers across industries.",false,"2021-09-03T20:21:41.000000Z","2026-07-16T20:17:45.000000Z",[76,89,101,104,116],{"title":77,"description":78,"slug":79,"created_at":80,"publish_at":80,"formatted_created_at":56,"category":81,"links":82,"view_type":87,"video_url":63,"views":88,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"The AI Slop Gold Rush on Amazon: How One Journalist Found Her Own Fake Biography","For now, the economics remain attractive for people like Bill Johns: minimal upfront cost, automated production, and enough sales to fund hobbies.","the-ai-slop-gold-rush-on-amazon-how-one-journalist-found-her-own-fake-biography","2026-07-17T17:55:47.000000Z",{"title":18,"slug":19},{"image":83,"image_webp":84,"thumb":85,"thumb_webp":86},"https://cdn.quasa.io/images/news/iLtmleMoELFtHm6oLdpj01TeozJZGmdQWD1Z8TiM.jpg","https://cdn.quasa.io/images/news/iLtmleMoELFtHm6oLdpj01TeozJZGmdQWD1Z8TiM.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/iLtmleMoELFtHm6oLdpj01TeozJZGmdQWD1Z8TiM.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/iLtmleMoELFtHm6oLdpj01TeozJZGmdQWD1Z8TiM.webp","small",1,{"title":90,"description":91,"slug":92,"created_at":93,"publish_at":93,"formatted_created_at":56,"category":94,"links":95,"view_type":87,"video_url":63,"views":100,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"The Anatomy of the AI Bubble: Circular Money, Fragile Foundations, and What Comes Next","The AI boom of the mid-2020s looks impressive on the surface. Hyperscalers and AI labs are pouring capital into infrastructure at a scale never seen before.","the-anatomy-of-the-ai-bubble-circular-money-fragile-foundations-and-what-comes-next","2026-07-17T17:07:24.000000Z",{"title":22,"slug":23},{"image":96,"image_webp":97,"thumb":98,"thumb_webp":99},"https://cdn.quasa.io/images/news/y5YxadSXfhpmFUuW3eMjF8wjfJVa3KE6eHeLdNPM.jpg","https://cdn.quasa.io/images/news/y5YxadSXfhpmFUuW3eMjF8wjfJVa3KE6eHeLdNPM.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/y5YxadSXfhpmFUuW3eMjF8wjfJVa3KE6eHeLdNPM.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/y5YxadSXfhpmFUuW3eMjF8wjfJVa3KE6eHeLdNPM.webp",6,{"title":47,"description":48,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category":102,"links":103,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},{"title":18,"slug":19},{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},{"title":105,"description":106,"slug":107,"created_at":108,"publish_at":109,"formatted_created_at":56,"category":110,"links":111,"view_type":62,"video_url":63,"views":37,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"How to Appeal YouTube Demonetization from Inauthentic Content Flags","Creators can appeal YPP demonetization or suspension decisions tied to inauthentic content flags by submitting a video appeal or contacting Creator Support in YouTube Studio. The process follows defined timelines and requirements from official policy documentation.","how-to-appeal-youtube-demonetization-from-inauthentic-content-flags","2026-07-16T16:00:54.000000Z","2026-07-17T14:51:00.000000Z",{"title":26,"slug":27},{"image":112,"image_webp":113,"thumb":114,"thumb_webp":115},"https://cdn.quasa.io/images/news/Ao68sZAGTcH3iJZF6kbLXT1or0sXKXtQcUtuZoeX.jpg","https://cdn.quasa.io/images/news/Ao68sZAGTcH3iJZF6kbLXT1or0sXKXtQcUtuZoeX.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Ao68sZAGTcH3iJZF6kbLXT1or0sXKXtQcUtuZoeX.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/Ao68sZAGTcH3iJZF6kbLXT1or0sXKXtQcUtuZoeX.webp",{"title":117,"description":118,"slug":119,"created_at":120,"publish_at":109,"formatted_created_at":56,"category":121,"links":122,"view_type":62,"video_url":63,"views":37,"likes":65,"lang":66,"comments_count":65,"is_pinned":72},"HeyGen Open-Sources HyperFrames Framework with Keyframes for AI Video Agents","HeyGen has open-sourced HyperFrames, an HTML-to-video framework that enables AI agents to generate videos using skills and a visual Keyframes editor for timeline animation control with code synchronization.","heygen-open-sources-hyperframes-framework-with-keyframes-for-ai-video-agents","2026-07-16T14:53:59.000000Z",{"title":6,"slug":11},{"image":123,"image_webp":124,"thumb":125,"thumb_webp":126},"https://cdn.quasa.io/images/news/QSbAfLiJiL4TpVZUwhbaR3RSqdQRI570eVrMnxhf.jpg","https://cdn.quasa.io/images/news/QSbAfLiJiL4TpVZUwhbaR3RSqdQRI570eVrMnxhf.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/QSbAfLiJiL4TpVZUwhbaR3RSqdQRI570eVrMnxhf.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/QSbAfLiJiL4TpVZUwhbaR3RSqdQRI570eVrMnxhf.webp",[128,143,156,169,183],{"title":129,"description":130,"slug":131,"created_at":132,"publish_at":133,"formatted_created_at":134,"category":135,"links":136,"view_type":62,"video_url":63,"views":141,"likes":142,"lang":66,"comments_count":65,"is_pinned":72},"Advertising on QUASA","Quasa Media is part of the QUASA ecosystem, which drives more than 100,000 new customers to reputable brands every month.\nWe partner with businesses of all sizes to deliver highly targeted advertising that reaches motivated users across our platforms.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2026-05-15T14:33:02.000000Z","15.05.2026",{"title":33,"slug":38},{"image":137,"image_webp":138,"thumb":139,"thumb_webp":140},"https://cdn.quasa.io/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.jpg","https://cdn.quasa.io/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/W7eArlQV3VogkOkJhIxdXCkL0VjAIwKvxZ1AuyBU.webp",82540,8,{"title":144,"description":145,"slug":146,"created_at":147,"publish_at":148,"formatted_created_at":149,"category":150,"links":151,"view_type":87,"video_url":63,"views":154,"likes":155,"lang":66,"comments_count":65,"is_pinned":72},"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":40,"slug":41},{"image":152,"image_webp":63,"thumb":153,"thumb_webp":153},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",81382,4,{"title":157,"description":158,"slug":159,"created_at":160,"publish_at":161,"formatted_created_at":162,"category":163,"links":164,"view_type":87,"video_url":63,"views":167,"likes":168,"lang":66,"comments_count":65,"is_pinned":72},"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":40,"slug":41},{"image":165,"image_webp":63,"thumb":166,"thumb_webp":166},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",79566,7,{"title":170,"description":171,"slug":172,"created_at":173,"publish_at":174,"formatted_created_at":175,"category":176,"links":177,"view_type":87,"video_url":63,"views":182,"likes":155,"lang":66,"comments_count":88,"is_pinned":72},"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","2026-05-18T19:10:00.000000Z","18.05.2026",{"title":18,"slug":19},{"image":178,"image_webp":179,"thumb":180,"thumb_webp":181},"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",49606,{"title":184,"description":185,"slug":186,"created_at":187,"publish_at":188,"formatted_created_at":189,"category":190,"links":191,"view_type":62,"video_url":63,"views":196,"likes":155,"lang":66,"comments_count":65,"is_pinned":72},"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":14,"slug":15},{"image":192,"image_webp":193,"thumb":194,"thumb_webp":195},"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",47815,[198,199,200,201,202,203,204,205],{"title":14,"slug":15},{"title":26,"slug":27},{"title":6,"slug":11},{"title":22,"slug":23},{"title":30,"slug":31},{"title":18,"slug":19},{"title":33,"slug":38},{"title":40,"slug":41},{"data":207},[208,234,242,255,275,293,312],{"id":209,"order":65,"created_at":210,"expired_at":211,"news_id":212,"post":213},81,"2025-10-19T20:19:39.000000Z","2026-10-19 20:19:16",12864,{"id":212,"title":214,"description":215,"slug":216,"created_at":217,"publish_at":218,"formatted_created_at":219,"category":220,"links":227,"view_type":62,"video_url":63,"views":232,"likes":233,"lang":66,"comments_count":63},"Earning Money Through Website Surfing: A Simple Way to Make Cryptocurrency","Many believe that earning cryptocurrency online requires special skills or expensive equipment. However, this is far from the truth. Website surfing, or browsing websites for rewards, is an accessible way to earn money or cryptocurrency with just a computer or smartphone and an internet connection.One of the easiest methods to generate income in the digital space is through website surfing. The tasks involved are so simple that virtually anyone can participate, regardless of experience or technical expertise.In this article, we’ll introduce you to a platform where you can start earning money and cryptocurrency through website surfing: Quasa Rewards.","earning-money-through-website-surfing-a-simple-way-to-make-cryptocurrency","2025-09-26T10:51:12.000000Z","2025-12-11T10:51:12.000000Z","11.12.2025",{"id":37,"title":33,"slug":38,"meta_title":221,"meta_description":222,"meta_keywords":223,"topic_search_prompt":224,"show_on_homepage":225,"deleted_at":63,"created_at":226,"updated_at":74,"lang":66},"Technology, AI, Space and Robotics News | QUASA","Important technology, AI, space and robotics news from the US, Europe, China, India and the rest of the world.","technology news, AI news, space, robotics, technology companies","Global technology news: space, robots and robotics, leading AI models, Google, Alibaba, xAI, Microsoft, Nvidia, Tesla, SpaceX and other significant technology companies; developments in China, India, the US, Europe and other countries.",true,"2021-08-09T19:09:44.000000Z",{"image":228,"image_webp":229,"thumb":230,"thumb_webp":231},"https://cdn.quasa.io/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.jpg","https://cdn.quasa.io/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.webp",7346,3,{"id":235,"order":65,"created_at":236,"expired_at":237,"news_id":238,"post":239},86,"2026-06-07T14:36:10.000000Z","2029-06-07 14:35:45",4545,{"id":238,"title":129,"description":130,"slug":131,"created_at":132,"publish_at":133,"formatted_created_at":134,"category":240,"links":241,"view_type":62,"video_url":63,"views":141,"likes":142,"lang":66,"comments_count":63},{"id":37,"title":33,"slug":38,"meta_title":221,"meta_description":222,"meta_keywords":223,"topic_search_prompt":224,"show_on_homepage":225,"deleted_at":63,"created_at":226,"updated_at":74,"lang":66},{"image":137,"image_webp":138,"thumb":139,"thumb_webp":140},{"id":243,"order":65,"created_at":244,"expired_at":245,"news_id":246,"post":247},87,"2026-06-07T14:46:09.000000Z","2031-06-07 14:45:52",1229,{"id":246,"title":157,"description":158,"slug":159,"created_at":160,"publish_at":161,"formatted_created_at":162,"category":248,"links":254,"view_type":87,"video_url":63,"views":167,"likes":168,"lang":66,"comments_count":63},{"id":44,"title":40,"slug":41,"meta_title":249,"meta_description":250,"meta_keywords":251,"topic_search_prompt":252,"show_on_homepage":225,"deleted_at":63,"created_at":253,"updated_at":74,"lang":66},"Technology Business, Startups and Growth Strategies | QUASA","Technology business news, startups, entrepreneurship, growth strategies and emerging business models.","business, technology business, startups, strategy, growth","Business news with an emphasis on technology companies, startups, entrepreneurship, growth strategies and emerging business models.","2021-08-03T10:59:17.000000Z",{"image":165,"image_webp":63,"thumb":166,"thumb_webp":166},{"id":256,"order":88,"created_at":257,"expired_at":258,"news_id":259,"post":260},92,"2026-06-07T15:05:49.000000Z","2033-06-07 15:05:26",13757,{"id":259,"title":261,"description":262,"slug":263,"created_at":264,"publish_at":265,"formatted_created_at":266,"category":267,"links":268,"view_type":87,"video_url":63,"views":273,"likes":274,"lang":66,"comments_count":63},"The State of Hybrid Freelance 2026: AI, Web3 and the Death of Traditional Work (Update June 2026)","New industry data from QUASA: How AI and Web3 are destroying traditional work in 2026. Download the full report.","report-2026","2026-02-02T08:38:20.000000Z","2026-07-04T15:26:00.000000Z","04.07.2026",{"id":17,"title":18,"slug":19,"meta_title":68,"meta_description":69,"meta_keywords":70,"topic_search_prompt":71,"show_on_homepage":72,"deleted_at":63,"created_at":73,"updated_at":74,"lang":66},{"image":269,"image_webp":270,"thumb":271,"thumb_webp":272},"https://cdn.quasa.io/images/news/GD0ptwC1dSdOUluvqyI6Hkay9pmmzOQGaJPpn1ib.jpg","https://cdn.quasa.io/images/news/GD0ptwC1dSdOUluvqyI6Hkay9pmmzOQGaJPpn1ib.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/GD0ptwC1dSdOUluvqyI6Hkay9pmmzOQGaJPpn1ib.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/GD0ptwC1dSdOUluvqyI6Hkay9pmmzOQGaJPpn1ib.webp",6052,2,{"id":276,"order":274,"created_at":277,"expired_at":278,"news_id":233,"post":279},82,"2025-10-19T20:23:19.000000Z","2026-10-19 20:23:00",{"id":233,"title":280,"description":281,"slug":282,"created_at":283,"publish_at":284,"formatted_created_at":285,"category":286,"links":287,"view_type":62,"video_url":63,"views":292,"likes":88,"lang":66,"comments_count":63},"Earn Cryptocurrency While Browsing: A Simple Way to Make Quasacoin","In today’s digital age, where browsing the internet is second nature, what if your everyday web surfing could become a source of income? With Quasa Rewards, this dream is now a reality.","earn-cryptocurrency-while-browsing-a-simple-way-to-make-quasacoin","2019-07-16T15:59:39.000000Z","2025-12-12T11:17:36.000000Z","12.12.2025",{"id":37,"title":33,"slug":38,"meta_title":221,"meta_description":222,"meta_keywords":223,"topic_search_prompt":224,"show_on_homepage":225,"deleted_at":63,"created_at":226,"updated_at":74,"lang":66},{"image":288,"image_webp":289,"thumb":290,"thumb_webp":291},"https://cdn.quasa.io/images/news/CC21Qn3xHuMMnkH2VqSF7lcbd3XJrV9idLXnjPxX.jpg","https://cdn.quasa.io/images/news/CC21Qn3xHuMMnkH2VqSF7lcbd3XJrV9idLXnjPxX.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CC21Qn3xHuMMnkH2VqSF7lcbd3XJrV9idLXnjPxX.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CC21Qn3xHuMMnkH2VqSF7lcbd3XJrV9idLXnjPxX.webp",6821,{"id":294,"order":274,"created_at":295,"expired_at":296,"news_id":297,"post":298},89,"2026-06-07T14:54:22.000000Z","2030-06-07 14:54:10",14533,{"id":297,"title":299,"description":300,"slug":301,"created_at":302,"publish_at":303,"formatted_created_at":304,"category":305,"links":306,"view_type":87,"video_url":63,"views":311,"likes":274,"lang":66,"comments_count":63},"Quasa Projects: The PPC Advertising Platform Powering the New Crypto Economy","The global PPC advertising market is more than 1,000 times larger than the old surfing niche — operating in the hundreds of billions of dollars.","quasa-projects-the-ppc-advertising-platform-powering-the-new-crypto-economy","2026-05-16T17:26:37.000000Z","2026-05-17T14:40:00.000000Z","17.05.2026",{"id":37,"title":33,"slug":38,"meta_title":221,"meta_description":222,"meta_keywords":223,"topic_search_prompt":224,"show_on_homepage":225,"deleted_at":63,"created_at":226,"updated_at":74,"lang":66},{"image":307,"image_webp":308,"thumb":309,"thumb_webp":310},"https://cdn.quasa.io/images/news/imwxgJ055ISr1tlKGDQLYBQFaE0ub84LDZnW3gvo.jpg","https://cdn.quasa.io/images/news/imwxgJ055ISr1tlKGDQLYBQFaE0ub84LDZnW3gvo.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/imwxgJ055ISr1tlKGDQLYBQFaE0ub84LDZnW3gvo.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/imwxgJ055ISr1tlKGDQLYBQFaE0ub84LDZnW3gvo.webp",4333,{"id":313,"order":233,"created_at":314,"expired_at":315,"news_id":316,"post":317},83,"2025-10-19T20:28:22.000000Z","2026-10-19 20:28:07",12458,{"id":316,"title":318,"description":319,"slug":320,"created_at":321,"publish_at":322,"formatted_created_at":323,"category":324,"links":325,"view_type":87,"video_url":63,"views":330,"likes":65,"lang":66,"comments_count":63},"Customers Know Their Actions Are Valuable and Want to Be Compensated","In today’s digital landscape, customers are increasingly aware of the value their actions—such as sharing data or engaging with content — hold for businesses.","customers-know-their-actions-are-valuable-and-want-to-be-compensated","2025-08-16T14:11:36.000000Z","2026-01-22T09:18:36.000000Z","22.01.2026",{"id":37,"title":33,"slug":38,"meta_title":221,"meta_description":222,"meta_keywords":223,"topic_search_prompt":224,"show_on_homepage":225,"deleted_at":63,"created_at":226,"updated_at":74,"lang":66},{"image":326,"image_webp":327,"thumb":328,"thumb_webp":329},"https://cdn.quasa.io/images/news/U41SnZieapnGo9WQI8GWBgaZIpI0yKk8d51nr6hA.jpg","https://cdn.quasa.io/images/news/U41SnZieapnGo9WQI8GWBgaZIpI0yKk8d51nr6hA.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/U41SnZieapnGo9WQI8GWBgaZIpI0yKk8d51nr6hA.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/U41SnZieapnGo9WQI8GWBgaZIpI0yKk8d51nr6hA.webp",2902]