{"id":258630,"date":"2026-08-19T16:07:02","date_gmt":"2026-08-19T16:07:02","guid":{"rendered":"https:\/\/sports.runfyers.com\/index.php\/2026\/08\/19\/ai-could-reverse-cycling-2-0s-gains-why-artificial-intelligence-could-become-an-anti-doping-scientists-worst-nightmare\/"},"modified":"2026-08-19T16:07:02","modified_gmt":"2026-08-19T16:07:02","slug":"ai-could-reverse-cycling-2-0s-gains-why-artificial-intelligence-could-become-an-anti-doping-scientists-worst-nightmare","status":"publish","type":"post","link":"https:\/\/sports.runfyers.com\/index.php\/2026\/08\/19\/ai-could-reverse-cycling-2-0s-gains-why-artificial-intelligence-could-become-an-anti-doping-scientists-worst-nightmare\/","title":{"rendered":"&#8216;AI could reverse cycling 2.0&#8217;s gains&#8217; \u2013 Why artificial intelligence could become an anti-doping scientist&#8217;s worst nightmare"},"content":{"rendered":"<p><\/p>\n<div id=\"article-body\">\n<p id=\"elk-6a9a6fc6-97f8-11f1-9a5a-af7cedf62291\">&#8220;Is artificial intelligence the new doping?&#8221; asked former Movistar director of <a data-analytics-id=\"inline-link\" href=\"https:\/\/www.cyclingnews.com\/tag\/performance\/\" data-auto-tag-linker=\"true\" data-url=\"https:\/\/www.cyclingnews.com\/tag\/performance\/\" data-hl-processed=\"none\" data-article-category=\"pro-cycling\" data-mrf-recirculation=\"inline-link\" data-before-rewrite-localise=\"https:\/\/www.cyclingnews.com\/tag\/performance\/\" target=\"_blank\" rel=\"noopener\">performance<\/a> Mikel Zabala at this year\u2019s Science &amp; Cycling conference, held each year the week prior to the <a data-analytics-id=\"inline-link\" href=\"https:\/\/www.cyclingnews.com\/tour-de-france\/\" data-url=\"https:\/\/www.cyclingnews.com\/tour-de-france\/\" data-hl-processed=\"none\" data-article-category=\"pro-cycling\" data-mrf-recirculation=\"inline-link\" data-before-rewrite-localise=\"https:\/\/www.cyclingnews.com\/tour-de-france\/\" target=\"_blank\" rel=\"noopener\">Tour de France<\/a> Grand D\u00e9part. It\u2019s where cycling\u2019s most progressive academics, sport scientists and WorldTour staff present their work, featuring the latest research on training, nutrition and equipment.<\/p>\n<p>But Zabala\u2019s presentation stood out as the experienced Spaniard warns of parallels between the Armstrong era and the artificial era. Why? We\u2019ll come back to Zabala\u2019s psychosocial reasoning later. But Zabala did shine a spotlight on AI and why machine learning could be an anti-doping scientist\u2019s worst nightmare\u2026<\/p>\n<p><a id=\"elk-6a9a7048-97f8-11f1-9745-6beefd91791f\" aria-hidden=\"true\" class=\"kiosq-b\"\/><\/p>\n<h3 id=\"creating-new-drugs-3\" aria-hidden=\"true\" class=\"kiosq-b\">Creating new drugs<\/h3>\n<p><a id=\"elk-seasonal\" aria-hidden=\"true\" class=\"kiosq-b\"\/><\/p>\n<aside data-article-category=\"pro-cycling\" data-block-type=\"embed\" data-render-type=\"fte\" data-skip=\"dealsy\" data-widget-type=\"seasonal\" class=\"ecom-root\"\/>\n<p id=\"elk-6a9a70b6-97f8-11f1-967d-75fdf47c0e2d-0\" aria-hidden=\"true\" class=\"kiosq-b\">March 2025 could prove a pivotal date in the world of anti-doping, as the United States Adopted Names (USAN) Council granted biotech company Insilico Medicine\u2019s AI-designed drug to treat idiopathic pulmonary fibrosis (IPF) an official name: Rentosertib, formerly known as ISM001-055.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">Rentosertib marked a significant milestone in drug development: its target and molecule were identified and designed using generative AI, taking an AI-created drug into human trials. For the cycling chemists amongst you, Insilico used its Pharma.AI platform to accelerate the discovery of Rentosertib. That followed PandaOmics, an AI-powered biology engine, identifying the enzyme TNIK as a promising target for idiopathic pulmonary fibrosis. Finally, the platform\u2019s generative chemistry engine, Chemistry42, designed and optimised the compounds against it, ultimately leading to Rentosertib\u2019s selection as a pre-clinical candidate.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">It\u2019s impressive stuff and, for cycling, the implications are stark. If AI can rapidly design novel medicines, could it eventually create performance-enhancing substances that anti-doping laboratories have not yet detected?<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">\u201cWe haven\u2019t seen that yet,\u201d an anti-doping source told us, who wished to remain anonymous, \u201cbut we\u2019ve certainly seen existing drugs, like steroids, altered by AI for more specific performance benefits. It is a concern. And potentially dangerous.\u201d<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">Cycling has already seen athletes caught using experimental drugs such as GW1516. GW1516 is known by various names, including cardarine and endurobol, and was designed as a dietary supplement. However, it was pulled at the experimental phase because it was found to cause cancer. Despite that, it made its way to the black market via underground labs, which is why WADA banned it.<\/p>\n<figure class=\"van-image-figure full-width-layout kiosq-b\" data-bordeaux-image-check=\"\" id=\"elk-b543036a-9a7a-11f1-9113-33f48e798ea1\" aria-hidden=\"true\">\n<div class=\"image-full-width-wrapper\">\n<div class=\"image-widthsetter\">\n<p class=\"vanilla-image-block\" style=\"padding-top:66.72%;\"> <picture data-new-v2-image=\"true\"><source type=\"image\/webp\" srcset=\"https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-2500-80.jpg.webp 2560w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-1920-80.jpg.webp 1920w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-1440-80.jpg.webp 1440w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-1280-80.jpg.webp 1280w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-1200-80.jpg.webp 1200w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-1024-80.jpg.webp 1024w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-970-80.jpg.webp 970w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-650-80.jpg.webp 650w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-480-80.jpg.webp 480w, https:\/\/cdn.mos.cms.futurecdn.net\/TaVffjLtJosviJSjAqAJuN-320-80.jpg.webp 320w\" sizes=\"100vw\"\/>\n<\/picture><\/p>\n<\/div>\n<\/div><figcaption itemprop=\"caption description\" class=\" full-width-layout\"><span class=\"credit\" itemprop=\"copyrightHolder\">(Image credit: Getty Images)<\/span><\/figcaption><\/figure>\n<p id=\"elk-b5430400-9a7a-11f1-b3a5-6fde9c69658d\" aria-hidden=\"true\" class=\"kiosq-b\">Those toxicity concerns didn\u2019t deter a number of cyclists from experimenting with the experimental drug, including Russia\u2019s Valery Kaykov, who was part of Russia\u2019s successful team pursuit at the 2012 European Track Championships, the same year he joined Pro Continental team RusVelo. A year later, he became the first athlete to officially test positive for GW1516 and was subsequently sacked by his team.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">Ostarine\u2019s another drug that was never approved as a medicine but found its way into the sporting arena, with athletes tempted by its potential to support muscle mass. Italy\u2019s <a data-analytics-id=\"inline-link\" href=\"https:\/\/www.cyclingnews.com\/news\/matteo-spreafico-out-of-giro-ditalia-after-doping-positive\/\" data-url=\"https:\/\/www.cyclingnews.com\/news\/matteo-spreafico-out-of-giro-ditalia-after-doping-positive\/\" data-hl-processed=\"none\" data-article-category=\"pro-cycling\" data-mrf-recirculation=\"inline-link\" data-before-rewrite-localise=\"https:\/\/www.cyclingnews.com\/news\/matteo-spreafico-out-of-giro-ditalia-after-doping-positive\/\" target=\"_blank\" rel=\"noopener\">Matteo Spreafico tested positive for enobosarm<\/a> (ostarine) at the 2020 Giro d\u2019Italia and received a three-year ban. Italy\u2019s <a data-analytics-id=\"inline-link\" href=\"https:\/\/www.cyclingnews.com\/pro-cycling\/doping\/italian-racer-provisionally-suspended-following-enobosarm-positive-at-uae-tour-women\/\" data-url=\"https:\/\/www.cyclingnews.com\/pro-cycling\/doping\/italian-racer-provisionally-suspended-following-enobosarm-positive-at-uae-tour-women\/\" data-hl-processed=\"none\" data-article-category=\"pro-cycling\" data-mrf-recirculation=\"inline-link\" data-before-rewrite-localise=\"https:\/\/www.cyclingnews.com\/pro-cycling\/doping\/italian-racer-provisionally-suspended-following-enobosarm-positive-at-uae-tour-women\/\" target=\"_blank\" rel=\"noopener\">Linda Laporta returned an adverse analytical finding<\/a> for the same substance at this year&#8217;s UAE Tour Women and was provisionally suspended pending the outcome of her case, which is ongoing, and has not resulted in a confirmed anti-doping rule violation.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">With AI now capable of designing novel drug candidates, the next generation of performance-enhancing substances could potentially emerge faster than anti-doping science can identify them. AI has the capacity to take \u2018unknown science\u2019 and make drug development much more efficient and, seen through an anti-doping lens, arguably harder to detect.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">AI could also enable more personalised enhancement by analysing physiological and genetic data to identify interventions tailored to an individual athlete. This could shift doping from simply finding effective drugs to identifying the most effective intervention for each athlete, creating an increasingly sophisticated challenge for anti-doping authorities.<\/p>\n<p><a id=\"elk-6a9a7124-97f8-11f1-b223-3b6a7e010229\" aria-hidden=\"true\" class=\"kiosq-b\"\/><\/p>\n<h3 id=\"mimicking-for-good-and-bad-3\" aria-hidden=\"true\" class=\"kiosq-b\">Mimicking for good and bad<\/h3>\n<p id=\"elk-6a9a7192-97f8-11f1-a99d-3166e9e7a638\" aria-hidden=\"true\" class=\"kiosq-b\">\u201cThis extends to the idea of a digital twin,\u201d says Professor Yannis Pitsiladis, director of the Centre for Exercise and Medicine at Hong Kong Baptist University. He\u2019s also on WADA\u2019s health medical research committee.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">\u201cA digital twin is gaining traction in the medical world,\u201d he adds. \u201cIn essence, it\u2019s a virtual model of an individual that uses real-world data to simulate health, disease and treatment responses. It might combine genetic information, blood tests, medical history, imaging, medications, activity, heart rate, sleep, nutrition and other wearable data. Doctors could use it to predict outcomes and personalise treatment.\u201d<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">In cycling, a digital twin would be fed similar data, so power, heart rate, cadence, speed, sleep, training load, nutrition, environmental conditions and potentially physiological\/genetic information to create a model that behaves like the individual rider. The key is that it\u2019s continually updated with real-world data from the rider.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">In cycling, a sophisticated digital twin could potentially answer questions such as: &#8220;What happens if I increase training volume by 10%?&#8221; &#8220;How will riding at 2,000m affect my performance?&#8221; &#8220;What nutrition strategy is likely to work best on a hilly parcours at 10\u00b0C?&#8221; Rather than simply reporting what happened, the digital twin attempts to predict what will happen next.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">The idea of digital twins has already hit the WorldTour. At the start of 2026, Ineos Grenadiers (now Netcompany-Ineos) and Swansea University revealed they were developing digital twins to analyse riders\u2019 performance and development, aiming to identify overlooked talent and predict which young cyclists could become future professionals. The legal benefits of a digital twin are clear. But the same technology could theoretically personalise doping \u2013 identifying substances or strategies with maximum benefit and minimum detectable impact.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">\u201cOf course, if you have enough data, you might be able to ask what the best combination of testosterone, erythropoietin (EPO) and cortisone might be, and at what dose, for what specific outcome,\u201d says Pitsiladis. \u201cBut you\u2019d need good data.\u201d<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">Of which cycling has. In fact, cycling\u2019s so obsessed with data that even metabolomics is being used to study elite cyclists, including at UAE Team Emirates-XRG when Professor I\u00f1igo San Mill\u00e1n was heavily involved with the team. Metabolomics involves measuring hundreds or thousands of small molecules (metabolites) in blood or other biological samples to better understand a rider\u2019s metabolism for more accurate training prescription. It\u2019s a level or thousand up from measuring a rider\u2019s blood sample for iron before they train at altitude.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">\u201cWith the amount of data cycling has, of course it could happen,\u201d adds Pitsiladis, \u201cbut it could also benefit anti-doping by giving the agencies a clearer picture of the athlete.\u201d<\/p>\n<p><a id=\"elk-6a9a71f6-97f8-11f1-a93f-8b2323d41faa\" aria-hidden=\"true\" class=\"kiosq-b\"\/><\/p>\n<h3 id=\"strengthening-anti-doping-3\" aria-hidden=\"true\" class=\"kiosq-b\">Strengthening anti-doping <\/h3>\n<p id=\"elk-6a9a7264-97f8-11f1-a751-5bd69036ec82\" aria-hidden=\"true\" class=\"kiosq-b\">As could the work of Dr Michael Skinnider, assistant professor at the Lewis-Sigler Institute for Integrative Genomics at Princeton University, who\u2019s working on a chemical AI platform that focuses on discovering new doping agents.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">\u201cWe\u2019re developing an AI model that can predict the chemical structures of future performance-enhancing drugs,\u201d he says. \u201cThe second part of our work is working with the mass spectrometry data [mass spectrometry machines analyse an athlete\u2019s sample] to more accurately detect anomalies.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">Typically, there are thousands \u2013 sometimes tens of thousands \u2013 of signals that might be associated with one small molecule. If there is suspicion that a novel drug is in this sample, it\u2019s currently like finding a needle in a haystack. Our research aims to refine this work.\u201d<\/p>\n<figure class=\"van-image-figure full-width-layout kiosq-b\" data-bordeaux-image-check=\"\" id=\"elk-d10ba7d6-9a7b-11f1-b1be-4b6f0de5a190\" aria-hidden=\"true\">\n<div class=\"image-full-width-wrapper\">\n<div class=\"image-widthsetter\">\n<p class=\"vanilla-image-block\" style=\"padding-top:66.68%;\"> <picture data-new-v2-image=\"true\"><source type=\"image\/webp\" srcset=\"https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-2500-80.jpg.webp 2560w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1920-80.jpg.webp 1920w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1440-80.jpg.webp 1440w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1280-80.jpg.webp 1280w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1200-80.jpg.webp 1200w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1024-80.jpg.webp 1024w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-970-80.jpg.webp 970w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-650-80.jpg.webp 650w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-480-80.jpg.webp 480w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-320-80.jpg.webp 320w\" sizes=\"100vw\"\/><img decoding=\"async\" alt=\"An anti-doping testing kit materials displayed at the International Testing Agency (ITA) testing facility inside a truck at the finish line of the 7th stage of the 111th edition of the Tour de France.\" srcset=\"https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-2500-80.jpg 2560w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1920-80.jpg 1920w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1440-80.jpg 1440w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1280-80.jpg 1280w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1200-80.jpg 1200w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-1024-80.jpg 1024w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-970-80.jpg 970w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-650-80.jpg 650w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-480-80.jpg 480w, https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY-320-80.jpg 320w\" sizes=\"100vw\" loading=\"lazy\" data-new-v2-image=\"true\" src=\"https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY.jpg\" data-pin-media=\"https:\/\/cdn.mos.cms.futurecdn.net\/TUjJR5ByojhXMkKoN6WMoY.jpg\" class=\"rounded-[var(--image--border-radius,0)] full-width\"\/>\n<\/picture><\/p>\n<\/div>\n<\/div><figcaption itemprop=\"caption description\" class=\" full-width-layout\"><span class=\"credit\" itemprop=\"copyrightHolder\">(Image credit: Getty Images)<\/span><\/figcaption><\/figure>\n<p id=\"elk-d10ba84e-9a7b-11f1-8ce9-85f05e47d026\" aria-hidden=\"true\" class=\"kiosq-b\">Skinnider says the work is ongoing, but the signs are positive. \u201cThe first stage of the project involved curating a large database of 1,600 drugs that were either on the prohibited list or that we felt might have potential to enhance performance. It predicted two substances that were later added to the WADA banned list, plus it flagged up a number of novel substances of interest.\u201d<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">Skinnider sees his work as a decision-support tool and, if it ever fulfils its potential and is adopted by WADA, it\u2019d complement the biological passport. \u201cIf you saw some shift in a rider\u2019s blood values and there\u2019s talk that it might be down to some kind of novel performance-enhancing drug or substance, that\u2019s where our work would come in.\u201d<\/p>\n<p><a id=\"elk-6a9a72d2-97f8-11f1-b0c1-f7ee5d3ae158\" aria-hidden=\"true\" class=\"kiosq-b\"\/><\/p>\n<h3 id=\"avoid-a-return-to-the-past-3\" aria-hidden=\"true\" class=\"kiosq-b\">Avoid a return to the past<\/h3>\n<p id=\"elk-6a9a7336-97f8-11f1-a8ca-a75dd2e72210\" aria-hidden=\"true\" class=\"kiosq-b\">That\u2019s the scientific AI battle. But what about the psychosocial? Let\u2019s return to the start and Zabala\u2019s concerns that AI will send cycling back to the dark ages, namely Armstrong, Puerto\u2026 \u201cWe must never forget the past,\u201d he says. \u201cFrom Armstrong to Operation Puerto, cycling in the 1990s and 2000s was horrendous. It was a time when doctors ruled.\u201d<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">Zabala calls this period and the time before, \u2018Cycling 1.0\u2019. He says that cycling followed a hierarchy and training relied on random coaching wisdom rather than empirical evidence. The absence of structured scientific collaboration blurred medical, ethical and professional boundaries.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">\u201cThen \u2018Cycling 2.0\u2019 took over in around 2012,\u201d he adds. \u201cThis involved multidisciplinary co-operation between coaches, scientists, physicians and nutritionists. Now, experts were mainly in charge, not backroom staff who were dopers of the past. Importantly, the rider went from a passive subject \u2013 the knowledge is held by the doping doctor \u2013 to an informed collaborator. This enhanced compliance, motivation and accountability.\u201d<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">In short, Cycling 2.0 \u2013 deemed cleaner than ever \u2013 passed ownership to the rider. We\u2019re now onto \u2018Cycling 3.0\u2019 where AI can magnify potential through predictive modelling but, Zabala says, it must not replace human judgment. Over-reliance on AI without critical thinking can lead to poor decision-making and a loss of ownership.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">\u201cA rider must maintain their autonomy,\u201d he says. \u201cIn the doping days, coercion and fear of exclusion was very real. With unregulated AI, we have similar fears. Biometric over-monitoring and opaque decisions could leave a rider vulnerable. Without ethical governance, AI could reverse 2.0\u2019s gains.\u201d<\/p>\n<figure class=\"van-image-figure full-width-layout kiosq-b\" data-bordeaux-image-check=\"\" id=\"elk-1a90d312-9a7d-11f1-8300-77900f6e585b\" aria-hidden=\"true\">\n<div class=\"image-full-width-wrapper\">\n<div class=\"image-widthsetter\">\n<p class=\"vanilla-image-block\" style=\"padding-top:66.68%;\"> <picture data-new-v2-image=\"true\"><source type=\"image\/webp\" srcset=\"https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-2500-80.jpg.webp 2560w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1920-80.jpg.webp 1920w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1440-80.jpg.webp 1440w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1280-80.jpg.webp 1280w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1200-80.jpg.webp 1200w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1024-80.jpg.webp 1024w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-970-80.jpg.webp 970w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-650-80.jpg.webp 650w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-480-80.jpg.webp 480w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-320-80.jpg.webp 320w\" sizes=\"100vw\"\/><img decoding=\"async\" alt=\"The pack of riders pictured in action during the stage 12 of the 2026 Tour de France\" srcset=\"https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-2500-80.jpg 2560w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1920-80.jpg 1920w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1440-80.jpg 1440w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1280-80.jpg 1280w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1200-80.jpg 1200w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-1024-80.jpg 1024w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-970-80.jpg 970w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-650-80.jpg 650w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-480-80.jpg 480w, https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY-320-80.jpg 320w\" sizes=\"100vw\" loading=\"lazy\" data-new-v2-image=\"true\" src=\"https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY.jpg\" data-pin-media=\"https:\/\/cdn.mos.cms.futurecdn.net\/LhnFRnqiFM5ME63rhRXuY.jpg\" class=\"rounded-[var(--image--border-radius,0)] full-width\"\/>\n<\/picture><\/p>\n<\/div>\n<\/div><figcaption itemprop=\"caption description\" class=\" full-width-layout\"><span class=\"credit\" itemprop=\"copyrightHolder\">(Image credit: Getty Images)<\/span><\/figcaption><\/figure>\n<p id=\"elk-1a90d3a8-9a7d-11f1-ab9d-3132a76a4190\" aria-hidden=\"true\" class=\"kiosq-b\">To that end, Zabala proposes that riders and coaches must become AI literate. \u201cThat means they capitalise on its benefits and not be captured by it. As we enter this third evolutionary stage, cycling stands at an unprecedented crossroads between human wisdom and machine intelligence. Artificial intelligence will not replace the coach, the scientist or the athlete, but it will augment them.<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">\u201cThe success of Cycling 3.0 will depend not on how quickly we adopt new algorithms, but on how wisely we integrate them into a culture of shared knowledge, respect, transparency and responsibility,\u201d he says. \u201cIf the spirit of Cycling 2.0 remains our compass, then AI can become the next ally in a journey that should continue to be profoundly human. The challenge is not merely to predict performance but to protect meaning.\u201d<\/p>\n<p aria-hidden=\"true\" class=\"kiosq-b\">Ultimately, like every sector of life, AI has the potential to transform cycling for better or worse. It may uncover talent, personalise training and strengthen anti-doping, yet potentially accelerate novel drugs and sophisticated enhancement. The lesson from Cycling 2.0 is clear: technology works best when athletes remain informed participants. Cycling 3.0 must embrace AI without surrendering human judgement, transparency or the hard-won lessons of its past.<\/p>\n<\/div>\n<p><a href=\"https:\/\/www.cyclingnews.com\/pro-cycling\/doping\/ai-could-reverse-cycling-2-0s-gains-why-artificial-intelligence-could-become-an-anti-doping-scientists-worst-nightmare\/\" target=\"_blank\" rel=\"noopener\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#8220;Is artificial intelligence the new doping?&#8221; asked former Movistar director of performance Mikel Zabala at this year\u2019s Science &amp; Cycling conference, held each year the week prior to the Tour de France Grand D\u00e9part. It\u2019s where cycling\u2019s most progressive academics, sport scientists and WorldTour staff present their work, featuring the latest research on training, nutrition [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":258631,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"tdm_status":"","tdm_grid_status":"","footnotes":""},"categories":[6804],"tags":[],"class_list":{"0":"post-258630","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-cycling"},"_links":{"self":[{"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/posts\/258630","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/comments?post=258630"}],"version-history":[{"count":0,"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/posts\/258630\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/media\/258631"}],"wp:attachment":[{"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/media?parent=258630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/categories?post=258630"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sports.runfyers.com\/index.php\/wp-json\/wp\/v2\/tags?post=258630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}