{"id":203613,"date":"2025-12-25T18:04:08","date_gmt":"2025-12-25T18:04:08","guid":{"rendered":"https:\/\/www.newsbeep.com\/il\/203613\/"},"modified":"2025-12-25T18:04:08","modified_gmt":"2025-12-25T18:04:08","slug":"gen-z-founder-on-ai-anxiety-and-being-pigeonholed-as-generation-shortcut-biggest-misconception","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/il\/203613\/","title":{"rendered":"Gen Z founder on &#8216;AI anxiety&#8217; and being pigeonholed as generation shortcut: &#8216;biggest misconception&#8217;"},"content":{"rendered":"<p>For Kiara Nirghin, the 24-year-old co-founder and chief technology officer of the applied AI lab Chima, the narrative that her generation uses artificial intelligence as a cheat code is not just wrong\u2014it ignores a fundamental shift in human cognition. <\/p>\n<p>The Stanford computer science alum and <a aria-label=\"Go to https:\/\/www.kiaranirghin.com\/\" class=\"\" href=\"https:\/\/www.kiaranirghin.com\/\" rel=\"nofollow noopener\" target=\"_blank\">Peter Thiel<\/a> fellow argued that while older generations view AI as a tool to be adopted, <a aria-label=\"Go to https:\/\/www.youtube.com\/watch?v=kq4nAePwWzI&amp;list=PLS8YLn_6PU1mFn2IfQ_CBvTvw35zMvDta&amp;index=5\" class=\"\" href=\"https:\/\/www.youtube.com\/watch?v=kq4nAePwWzI&amp;list=PLS8YLn_6PU1mFn2IfQ_CBvTvw35zMvDta&amp;index=5\" rel=\"nofollow noopener\" target=\"_blank\">Gen Z views it as a native language<\/a>. However, this fluency comes with a unique burden: the \u201cAI anxiety\u201d of keeping pace with technology that is currently the \u201cworst\u201d it will ever be.<\/p>\n<p>Speaking at <a aria-label=\"Go to https:\/\/conferences.fortune.com\/event\/brainstorm-ai-2025\" class=\"\" href=\"https:\/\/conferences.fortune.com\/event\/brainstorm-ai-2025\" rel=\"nofollow noopener\" target=\"_blank\">Fortune Brainstorm AI<\/a> in San Francisco, Nirghin addressed the tension between the perception of Gen Z and their reality as builders. \u201cThe truth is the younger generation isn\u2019t adopting AI,\u201d she said. \u201cWe\u2019re growing up fluent in AI.\u201d This distinction is critical in the workplace. While a manager might see an employee using an AI agent as cutting corners, Nirghin said she sees a shift in the architecture of work itself. <\/p>\n<p>\u201cWe aren\u2019t thinking about coding from scratch,\u201d she explained. \u201cWe\u2019re thinking about coding with a coding agent side by side.\u201d Far from being generation shortcut, Gen Z are trailblazers, she argued.<\/p>\n<p>\u201cThat fundamentally changes how you write, how you take tests, how you apply to jobs or different applications, because it\u2019s not from the ground up,\u201d Nirghin said about working side by side with an agent. \u201cI think what that really means is that this broad level of use cases and applications we\u2019re seeing is really being pioneered by the younger generation.\u201d<\/p>\n<p>The \u2018lazy\u2019 myth vs. deep thinking<\/p>\n<p>One of the most pervasive criticisms of the digital native generation is that reliance on large language models (LLMs) <a aria-label=\"Go to https:\/\/fortune.com\/2025\/12\/12\/ai-skills-gap-talent-executives-fear-risk-critical-strategic-thinking\/\" class=\"\" href=\"https:\/\/fortune.com\/2025\/12\/12\/ai-skills-gap-talent-executives-fear-risk-critical-strategic-thinking\/\" rel=\"nofollow noopener\" target=\"_blank\">erodes critical thinking skills<\/a>. Nirghin firmly rejects this. \u201cI think that the biggest misconception is that young people are using AI to not think things through,\u201d she said, that they\u2019re using it \u201cas a shortcut.\u201d<\/p>\n<p>Instead, Nirghin said that intelligent users are leveraging these tools to offload cognitive labor so they can probe complex subjects with greater intensity. She said it\u2019s not as simple as handing off the \u201ccognitive load\u201d to an AI model, it\u2019s about thinking \u201cdifferently \u2026 even \u201cdeeper\u201d on a specific subject, because the agent is taking hours of menial work off your hands. <\/p>\n<p>As an example, she pointed to running deep research reports on financial markets that might take hours to generate manually. By automating that work, she said the user is free to analyze the implications rather than just gathering the data. \u201cWhat does that unlock for you?\u201d she asked the audience, urging them to consider just how much more they can do with these tools at their \u201cfingertips.\u201d<\/p>\n<p>The anxiety of infinite improvement<\/p>\n<p>Nirghin said her generation does face a daunting reality that people don\u2019t appreciate: the relentless speed of obsolescence, and their own awareness of that fact. She said fears over AI have some similarities to \u201cclimate anxiety.\u201d Noting that some of her earliest research was about climate change, she explained climate anxiety as the idea that \u201cthere\u2019s this movement of climate change coming up and we don\u2019t really know what to do but we know it\u2019s coming and nobody is moving as fast to solve the problem.\u201d<\/p>\n<p>It\u2019s tied to the realization that current technology, as impressive as it seems, is primitive compared to what is coming next. \u201cThe models right now are as dumb as they are ever going to be,\u201d Nirghin warned. \u201cIt is only going to get faster, more advanced and more intelligent, each and every model from from here on out.\u201d<\/p>\n<p>For Gen Z workers, she said, this creates a pressure environment where staying ahead is a daily requirement. Nirghin noted that recent model releases have \u201cengulfed the benchmarks in such an enormous way\u201d that previous capabilities can now be \u201c10xed\u201d overnight\u2014imagine coming to work tomorrow, able to produce 10 times as much since yesterday. If a worker isn\u2019t consistently on top of these updates, \u201cyou\u2019re kind of left behind.\u201d The fear isn\u2019t about taking too many shortcuts, but not figuring out every pathway and every update to hit that 10x.<\/p>\n<p>Taste as the new IQ<\/p>\n<p>If intelligence is being commoditized by models that improve exponentially, what becomes the new metric for human value? According to Nirghin, it is \u201ctaste.\u201d<\/p>\n<p>Nirghin, whose background includes work at <a aria-label=\"Go to https:\/\/hai.stanford.edu\/\" class=\"\" href=\"https:\/\/hai.stanford.edu\/\" rel=\"nofollow noopener\" target=\"_blank\">Stanford\u2019s Human-Centered AI labs<\/a>, argued that benchmarks around accuracy no longer capture what makes a product successful. She cited the example of coding agents that, without human guidance, might uncontrollably add \u201csparkle emojis\u201d to a front-end UI because they \u201clove\u201d certain design tropes.<\/p>\n<p>\u201cYou know something is vibe coded if you\u2019ve ever sort of worked with a coding agent,\u201d she joked. The differentiator for the future workforce will not be the ability to generate code or text, but the human-centered judgment to determine what users actually want to see. \u201cAs models and use cases and efficiencies change,\u201d Nirghin said, \u201cthe key differentiator is taste.\u201d<\/p>\n<p>Nirghin\u2019s advice extends beyond her peers to the older generations currently managing them. She stressed that \u201cAI fluency is just as important for people that are already in the workforce,\u201d urging them to arm themselves with tools like ChatGPT or Gemini as daily \u201cco-pilots.\u201d<\/p>\n<p>Ultimately, Nirghin said she views the rapid evolution of AI not as a threat to employment, but as a challenge to adaptation. Whether automating back-office processes or launching \u201cdeep research agents,\u201d the economic \u201cunlock\u201d provided by these models is already incredible, even if they never improved again. But the anxiety of keeping up is the new price of admission for the future of work.<\/p>\n","protected":false},"excerpt":{"rendered":"For Kiara Nirghin, the 24-year-old co-founder and chief technology officer of the applied AI lab Chima, the narrative&hellip;\n","protected":false},"author":2,"featured_media":203614,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[345,343,344,102941,4197,85,46,125,11145],"class_list":{"0":"post-203613","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-brainstorm-ai","12":"tag-gen-z","13":"tag-il","14":"tag-israel","15":"tag-technology","16":"tag-the-future-of-work"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/203613","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=203613"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/203613\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/203614"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=203613"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=203613"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=203613"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}