{"id":172135,"date":"2026-01-04T02:04:53","date_gmt":"2026-01-04T02:04:53","guid":{"rendered":"https:\/\/ushopwell.com\/ublog\/from-prophet-to-product-how-ai-came-back-down-to-earth-in-2025\/"},"modified":"2026-01-04T02:04:53","modified_gmt":"2026-01-04T02:04:53","slug":"from-prophet-to-product-how-ai-came-back-down-to-earth-in-2025","status":"publish","type":"post","link":"https:\/\/ushopwell.com\/ublog\/from-prophet-to-product-how-ai-came-back-down-to-earth-in-2025\/","title":{"rendered":"From prophet to product: How AI came back down to earth in 2025"},"content":{"rendered":"<div>\n<p>Following two years of immense hype in <a href=\"https:\/\/arstechnica.com\/information-technology\/2023\/12\/a-song-of-hype-and-fire-the-10-biggest-ai-stories-of-2023\/\">2023<\/a> and <a href=\"https:\/\/arstechnica.com\/ai\/2024\/12\/2024-the-year-ai-drove-everyone-crazy\/\">2024<\/a>, this year felt more like a settling-in period for the LLM-based token prediction industry. After more than two years of public fretting over AI models as future\u00a0<a href=\"https:\/\/arstechnica.com\/information-technology\/2023\/05\/openai-execs-warn-of-risk-of-extinction-from-artificial-intelligence-in-new-open-letter\/\" target=\"_blank\" rel=\"noopener\">threats<\/a>\u00a0to human civilization or the\u00a0<a href=\"https:\/\/arstechnica.com\/information-technology\/2025\/06\/after-ai-setbacks-meta-bets-billions-on-undefined-superintelligence\/\" target=\"_blank\" rel=\"noopener\">seedlings of future gods<\/a>, it&#8217;s starting to look like hype is giving way to pragmatism: Today&#8217;s AI can be very useful, but it&#8217;s also clearly imperfect and prone to mistakes.<\/p>\n<p>That view isn&#8217;t universal, of course. There&#8217;s a lot of money (and rhetoric) <a href=\"https:\/\/arstechnica.com\/ai\/2025\/10\/ars-live-recap-is-the-ai-bubble-about-to-pop-ed-zitron-weighs-in\/\">betting<\/a> on a stratospheric, world-rocking trajectory for AI. But the &#8220;when&#8221; keeps getting pushed back, and that&#8217;s because nearly everyone agrees that more significant technical breakthroughs are required. The original, lofty <a href=\"https:\/\/arstechnica.com\/ai\/2025\/01\/anthropic-chief-says-ai-could-surpass-almost-all-humans-at-almost-everything-shortly-after-2027\/\">claims<\/a> that we&#8217;re on the verge of artificial general intelligence (AGI) or superintelligence (ASI) have not disappeared. Still, there&#8217;s a growing awareness that such proclaimations are perhaps best viewed as venture capital marketing. And every commercial foundational model builder out there has to grapple with the reality that, if they&#8217;re going to make money\u00a0<em>now<\/em>, they have to sell practical AI-powered solutions that perform as reliable tools.<\/p>\n<p>This has made 2025 a year of wild juxtapositions. For example, in January, OpenAI&#8217;s CEO, Sam Altman, <a href=\"https:\/\/arstechnica.com\/ai\/2025\/01\/sam-altman-says-we-are-now-confident-we-know-how-to-build-agi\/\">claimed<\/a> that the company knew how to build <a href=\"https:\/\/arstechnica.com\/ai\/2025\/07\/agi-may-be-impossible-to-define-and-thats-a-multibillion-dollar-problem\/\">AGI<\/a>, but by November, he was publicly celebrating that GPT-5.1 <a href=\"https:\/\/arstechnica.com\/ai\/2025\/11\/forget-agi-sam-altman-celebrates-chatgpt-finally-following-em-dash-formatting-rules\/\">finally learned<\/a> to use em dashes correctly when instructed (but not always). Nvidia <a href=\"https:\/\/arstechnica.com\/ai\/2025\/10\/nvidia-hits-record-5-trillion-mark-as-ceo-dismisses-ai-bubble-concerns\/\">soared<\/a> past a $5 trillion valuation, with Wall Street still projecting high price targets for that company&#8217;s stock while some banks <a href=\"https:\/\/arstechnica.com\/ai\/2025\/10\/bank-of-england-warns-ai-stock-bubble-rivals-2000-dotcom-peak\/\">warned<\/a> of the potential for an AI bubble that might rival the 2000s dotcom crash.<\/p>\n<p><a href=\"https:\/\/arstechnica.com\/ai\/2025\/12\/from-prophet-to-product-how-ai-came-back-down-to-earth-in-2025\/\">Read full article<\/a><\/p>\n<p><a href=\"https:\/\/arstechnica.com\/ai\/2025\/12\/from-prophet-to-product-how-ai-came-back-down-to-earth-in-2025\/#comments\">Comments<\/a><\/p>\n<\/div>\n<p class=\"wpematico_credit\"><small>Powered by <a href=\"http:\/\/www.wpematico.com\" target=\"_blank\">WPeMatico<\/a><\/small><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Following two years of immense hype in 2023 and 2024, this year felt more like a settling-in period for the LLM-based token prediction industry. After more than two years of public fretting over AI models as future\u00a0threats\u00a0to human civilization or the\u00a0seedlings of future gods, it&#8217;s starting to look like hype is giving way to pragmatism: Today&#8217;s AI can be very useful, but it&#8217;s also clearly imperfect and prone to mistakes&#8230;.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","tve_updated_post":"","tve_custom_css":"","tve_user_custom_css":"","tve_globals":{},"tcb2_ready":0,"tcb_editor_enabled":0,"tve_landing_page":"","_tve_header":"","_tve_footer":""},"categories":[241],"tags":[],"class_list":["post-172135","post","type-post","status-publish","format-standard","hentry","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>From prophet to product: How AI came back down to earth in 2025 - UshopWell.com<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ushopwell.com\/ublog\/from-prophet-to-product-how-ai-came-back-down-to-earth-in-2025\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From prophet to product: How AI came back down to earth in 2025 - UshopWell.com\" \/>\n<meta property=\"og:description\" content=\"Following two years of immense hype in 2023 and 2024, this year felt more like a settling-in period for the LLM-based token prediction industry. 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