{"id":8033,"date":"2025-01-28T09:01:20","date_gmt":"2025-01-28T09:01:20","guid":{"rendered":"https:\/\/www.version1.com\/en-us\/?p=8033"},"modified":"2026-07-23T12:14:57","modified_gmt":"2026-07-23T12:14:57","slug":"deepseek-and-destroy","status":"publish","type":"post","link":"https:\/\/www.version1.com\/en-us\/blog\/deepseek-and-destroy\/","title":{"rendered":"DeepSeek and Destroy"},"content":{"rendered":"<h1>How China&#8217;s AI upstart is disrupting the market<\/h1>\n<p>Artificial Intelligence (AI) has become more than just a technological race &#8211; it&#8217;s now a matter of economic leverage and geopolitical strategy.\u00a0 Enter DeepSeek, a China-based AI lab backed by the hedge fund High-Flyer, which has burst onto the scene with a model that&#8217;s making waves for its combination of low cost, strategic marketing and open-source rhetoric. Discover how DeepSeek, a China-based AI lab, is disrupting the AI market with low-cost models, strategic marketing, and open-source rhetoric<\/p>\n<p>But, before we get into it, a reality check.<\/p>\n<p>Before adopting DeepSeek, or any AI tool, businesses and developers need to take a hard look at the risks.  Here&#039;s what you must consider:<\/p>\n<h3>Review<\/h3>\n<p>Review terms and conditions and conduct a data processing agreement (DPA) check &#8211; ensure data rights, usage policies and regulatory compliance<\/p>\n<h3>Beware<\/h3>\n<p>Beware of passthrough AI in Software as a Service (SaaS) &#8211; some SaaS providers may integrate third-party AI like DeepSeek without full transparency<\/p>\n<h3>Watch<\/h3>\n<p>Watch out for shadow AI &#8211; unofficial or unapproved AI tools may creep into workflows<\/p>\n<p>With its R1 reasoning model priced <strong>27 times<\/strong> cheaper than OpenAI\u2019s O1 API, DeepSeek is attempting to fundamentally shift the economics of AI. The company\u2019s approach mirrors successful Chinese tech disruptors like Temu, BYD, and TikTok, who have historically undercut Western competitors with ultra-low pricing and a community-first approach.<\/p>\n<p>Yet beneath this disruptive energy lie some critical questions:<\/p>\n<ul>\n<li>Is DeepSeek genuinely open-source?<\/li>\n<li>What does its rise mean for U.S. AI companies?<\/li>\n<li>And, most importantly, what happens when a low-cost AI model potentially sends user <a href=\"https:\/\/www.version1.com\/data-ai\/data-migration-and-consulting-services\/\">data<\/a> to China?<\/li>\n<\/ul>\n<h2>The DeepSeek playbook: Cheap, fast, and unavoidable<\/h2>\n<p>DeepSeek\u2019s strategy is straightforward: offer AI at a fraction of the cost of U.S. competitors, win over developers, and create long-term market dependency before profits even matter.<\/p>\n<p>This is the same tactic that made TikTok a social media juggernaut and turned Chinese EV brands like BYD into global threats to Tesla.<\/p>\n<p>The formula is simple but effective:<\/p>\n<h3>Flood<\/h3>\n<p>the market with a dirt-cheap product<\/p>\n<h3>Gain<\/h3>\n<p>rapid adoption among startups, developers, and small businesses<\/p>\n<h3>Force<\/h3>\n<p>competitors to react &#8211; either by dropping prices (hurting profits) or by focusing on differentiation<\/p>\n<h3>Time<\/h3>\n<p>your market entry to perfection, by the time Western rival adjust, the market has already shifted<\/p>\n<p>DeepSeek is applying this method with precision, and it&#8217;s working.\u00a0 Developers, startups, and budget-conscious companies are eager to reduce AI costs, and DeepSeek\u2019s offer is hard to ignore. The impact is already visible &#8211; DeepSeek is at the top of the iOS app store, [usuk word=&#8221;signalling&#8221;] strong early adoption.\u00a0 But this pricing strategy raises a fundamental concern: Is it sustainable?<\/p>\n<p>Operating at a loss to gain market share isn\u2019t a new strategy, but it\u2019s particularly risky in AI, where training and maintaining models require massive computational power. OpenAI and Anthropic cannot simply slash prices without gutting their revenue models, meaning DeepSeek is forcing them into an uncomfortable dilemma: play DeepSeek\u2019s game or risk losing ground.<\/p>\n<h2>When the chips are down&#8230;<\/h2>\n<p>With the U.S. restrictions on chip sales to China since 2021, \u201c<a href=\"https:\/\/www.bbc.co.uk\/news\/articles\/c0qw7z2v1pgo\" target=\"_blank\" rel=\"noopener\">Chinese AI developers have shared their work with each other and experimented with new approaches to the technology<\/a>\u201d.\u00a0 Whether DeepSeek\u2019s founder <a href=\"https:\/\/www.bbc.co.uk\/news\/articles\/c0qw7z2v1pgo\" target=\"_blank\" rel=\"noopener\">stockpiled chips<\/a> or not, the fact that another <a href=\"https:\/\/www.techrepublic.com\/article\/ai-chip-shortage-global-supply-crisis\/\" target=\"_blank\" rel=\"noopener\">global chip shortage could be looming<\/a> as soon as 2026, underscores the importance of strategic resource management in AI development.\u00a0 <a href=\"https:\/\/techcrunch.com\/2025\/01\/27\/deepseek-punctures-tech-spending-plans-and-what-analysts-are-saying\/\" target=\"_blank\" rel=\"noopener\">With China currently being the only market that pursues LLM efficiency owing to chip constraint<\/a> this could impact how AI innovation and competition evolve globally.<\/p>\n<p>The ability to develop efficient models with limited resources may change country priorities, outlooks and may end up being a critical advantage, potentially reshaping the AI landscape and challenging the dominance of established players.<\/p>\n<h2>The &#8216;Open-source&#8217; illusion<\/h2>\n<p>DeepSeek has positioned itself as an open-source alternative to proprietary models like OpenAI\u2019s GPT series. This has won them [usuk word=&#8221;favour&#8221;] with the developer community, which has long been frustrated by AI companies locking models behind APIs and strict [usuk word=&#8221;licencing&#8221;] terms.<\/p>\n<p>But the reality is more complicated.<\/p>\n<ul>\n<li>\n<ul>\n<li>DeepSeek has released model weights, but not training data or training code &#8211; a move that mirrors Meta\u2019s LLaMA strategy rather than true open-source principles<\/li>\n<li>This means that while companies and developers can use DeepSeek\u2019s models for free, they cannot independently verify how the models were trained or what biases exist within them<\/li>\n<li>By withholding these critical components, DeepSeek maintains control over its technology while benefitting from the \u201copen-source\u201d goodwill<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>This approach is clever as it allows DeepSeek to gain traction as a champion of open AI while still holding onto its proprietary advantages. But it also means developers should be wary of trusting too much in the promise of openness when the core components remain out of reach.<\/p>\n<p>&nbsp;<\/p>\n<h2>Winning over developers: The &#8216;Hero&#8217; narrative<\/h2>\n<p>Beyond pricing and open-source positioning, DeepSeek is tapping into something more powerful: developer loyalty.<\/p>\n<p>The company is framing itself as the scrappy underdog, standing up against AI giants like OpenAI, Anthropic, and Google. This kind of &#8220;us vs. them&#8221; messaging has worked before &#8211; TikTok gained traction by presenting itself as the rebellious alternative to Facebook and YouTube, and Temu is doing the same against Amazon.<\/p>\n<p>DeepSeek is playing a similar game, making developers feel like they are part of a movement &#8211; one that challenges the monopolization of AI by Silicon Valley. The result? A growing community that is seemingly eager to support DeepSeek, even if its long-term intentions remain unclear.<\/p>\n<p>This puts OpenAI and Anthropic in a difficult spot. They now face pressure to either lower costs (which isn\u2019t easy for high-end AI models) or innovate faster (which comes with its own risks). DeepSeek is controlling the narrative, and U.S. firms are now reacting rather than leading.<\/p>\n<p><em><strong>Shares in AI-related companies based in the US, such as Nvidia, Microsoft and Meta were down on Monday morning &#8211; and the development knocked European share prices.\u00a0<\/strong><\/em><\/p>\n<p><em><strong>ASML, the Dutch chip equipment maker, saw its share price tumble by more than 10% while shares in Siemens Energy, which makes hardware related to AI, plunged by 21%.<\/strong><\/em><\/p>\n<p><a href=\"https:\/\/www.bbc.co.uk\/news\/articles\/c0qw7z2v1pgo\" target=\"_blank\" rel=\"noopener\"><em>Source<\/em><\/a><\/p>\n<h2>The security question<\/h2>\n<p>Of course, this wouldn\u2019t be a discussion about Chinese AI without addressing the elephant in the room: data security.<\/p>\n<p>DeepSeek\u2019s hosted API version processes user queries, meaning any text inputted into its system could potentially be accessed or stored on servers tied to China.<\/p>\n<p>This raises alarms for companies handling sensitive business information, government agencies, and developers concerned about data privacy.<\/p>\n<p>The U.S. has already [usuk word=&#8221;scrutinised&#8221;] TikTok for similar concerns &#8211; DeepSeek is likely next.<\/p>\n<p>DeepSeek\u2019s ability to collect massive amounts of Western training data via consumer and enterprise applications could also reduce China\u2019s dependence on web scraping and unauthorised data collection.\u00a0 Instead of struggling with firewalled Western content, DeepSeek could simply absorb the data directly through user interactions.<\/p>\n<p>This possibility won\u2019t go unnoticed by regulators or lawmakers. If DeepSeek gains serious traction, expect investigations, restrictions, or even outright bans, particularly for industries handling sensitive information.<\/p>\n<p><em><strong>But let\u2019s see the devil is in the detail and as you can imagine a Chinese model will be controversial for many uses. Still it is a cold shower and a dose of reality for a sector that probably needed it.<\/strong><\/em><\/p>\n<p><a href=\"https:\/\/www.reuters.com\/technology\/artificial-intelligence\/chinas-deepseek-sparks-ai-market-rout-2025-01-27\/\" target=\"_blank\" rel=\"noopener\">Source<\/a><\/p>\n<p><a href=\"https:\/\/www.version1.com\/data-ai\/ai-consultancy-and-implementation-services\/\"><img decoding=\"async\" src=\"https:\/\/www.version1.com\/wp-content\/uploads\/2026\/06\/AI-Services-Blog-Banner-2.jpg\" alt=\"\" loading=\"lazy\"><\/a><\/p>\n<h2>The future: A collision course with U.S. AI firms<\/h2>\n<p>&nbsp;<\/p>\n<p>So, where does all of this lead?<\/p>\n<p>DeepSeek\u2019s expansion will inevitably force U.S. AI firms to react. OpenAI, Anthropic, and Meta cannot afford to ignore its rapid rise, but their options are limited. Lowering prices too much could undermine their own revenue streams, while focusing on high-end, premium AI models might alienate cost-sensitive users. Rather than engaging in a direct price war, they will likely double down on differentiation, emphasising higher-quality models, better reasoning, and greater reliability.<\/p>\n<p>Government scrutiny is all but inevitable. The U.S. has already imposed restrictions on Chinese tech firms over data security concerns, and DeepSeek could soon face similar regulatory pressure. If its adoption grows significantly, it may encounter the same obstacles that TikTok did. At a minimum, government agencies and major corporations will hesitate before entrusting DeepSeek\u2019s AI with sensitive operations.<\/p>\n<p>Adoption patterns will also be divided. Startups and independent developers will likely flock to DeepSeek, enticed by its affordability. Larger enterprises &#8211; especially those in finance, healthcare, and government &#8211; will be far more cautious, wary of the potential risks. The real question isn\u2019t whether DeepSeek will gain users &#8211; it\u2019s whether it will ever be fully trusted by the broader AI ecosystem.<\/p>\n<h2>The bottom line<\/h2>\n<p><strong>DeepSeek isn\u2019t just another AI startup &#8211; it\u2019s a calculated disruption.\u00a0<\/strong><br \/>\nWith its ultra-low pricing, strategic use of open-source marketing, and developer-first approach, it has already put pressure on the biggest names in AI. But beneath this appealing fa\u00e7ade are serious concerns about data privacy, transparency, and long-term control.<\/p>\n<p>Yet DeepSeek is just one piece of a much larger puzzle. China\u2019s AI push is accelerating, with companies like Moonshot AI and its Kimi matching industry benchmarks. The race is no longer just about innovation &#8211; it\u2019s about control, influence, and long-term dominance in a technology that will shape the future of economies, industries, and national security.<\/p>\n<p>For developers and startups, DeepSeek is a game-changer &#8211; affordable, powerful, and hard to ignore. But for those focused on security and sustainability, it\u2019s a wild card &#8211; one that could level the playing field or reshape AI in unpredictable ways.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>How China&#8217;s AI upstart is disrupting the market Artificial Intelligence (AI) has become more than just a technological race &#8211; it&#8217;s now a matter of economic leverage and geopolitical strategy.\u00a0 Enter DeepSeek, a China-based AI lab backed by the hedge fund High-Flyer, which has burst onto the scene with a model that&#8217;s making waves for [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":8034,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"categories":[101],"tags":[115],"industry":[],"class_list":["post-8033","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai"],"acf":[],"translations":[{"blog_id":1,"post_id":8033,"name":"Europe","code":"EN-GB","hreflang":"en-gb","url":"https:\/\/www.version1.com\/blog\/deepseek-and-destroy\/","is_current":false},{"blog_id":13,"post_id":8033,"name":"Americas","code":"EN-US","hreflang":"en-us","url":"https:\/\/www.version1.com\/en-us\/blog\/deepseek-and-destroy\/","is_current":true}],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>DeepSeek and Destroy | Version 1 (US)<\/title>\n<meta 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