{"id":2232,"date":"2025-11-26T16:04:52","date_gmt":"2025-11-26T16:04:52","guid":{"rendered":"https:\/\/leyton.majjane.agency\/ca\/post\/eligibility-and-impact-of-generative-ai-in-sred\/"},"modified":"2026-07-26T17:03:37","modified_gmt":"2026-07-26T15:03:37","slug":"eligibility-and-impact-of-generative-ai-in-sred","status":"publish","type":"article","link":"https:\/\/leyton.com\/ca\/en\/insights\/articles\/eligibility-and-impact-of-generative-ai-in-sred\/","title":{"rendered":"Eligibility and impact of Generative AI in SR&#038;ED"},"content":{"rendered":"<p>At Leyton, we work closely with innovative companies that are adopting Generative AI to accelerate research and development. The opportunities are immense, but when it comes to the <strong><a href=\"https:\/\/leyton.com\/ca\/tax-credits\/sred-scientific-research-experimental-development\/\">Scientific Research &amp; Experimental Development (SR&amp;ED) program<\/a><\/strong>, it is crucial to understand that not all <strong><a href=\"https:\/\/leyton.com\/ca\/insights\/articles\/sred-ai-eligibility-where-cra-draws-the-line\/\">AI activities are eligible<\/a><\/strong>.<\/p>\n<p>The distinction between experimental development and routine application is subtle for this emerging technology. Recognizing it ensures businesses maximize their claims while maintaining compliance.<\/p>\n<h2 class=\"wp-block-heading\">Training Data: The Critical Differentiator<\/h2>\n<p>One of the first questions to assess for eligibility is: <em>how is the data being handled?<\/em><\/p>\n<p>This often defines whether a project qualifies:<\/p>\n<ul>\n<li><strong>Eligible:<\/strong> Creating, curating, or engineering new datasets specifically for training or advancing AI models. This could involve cleaning raw, unstructured data, building synthetic datasets, developing novel labeling techniques, or constructing automated data pipelines. These activities demonstrate systematic experimentation and technological uncertainty, both required under SR&amp;ED.<\/li>\n<li><strong>Not Eligible: <\/strong>Simply applying publicly available datasets or using off-the-shelf data directly with a pre-trained model. This is considered routine application rather than experimental development.<\/li>\n<\/ul>\n<p>In short: training and refining your own data to solve a novel problem is eligible; relying on pre-existing data as-is is not.<\/p>\n<h2 class=\"wp-block-heading\">Model Creation and Iteration<\/h2>\n<p>Another key factor is the level of experimentation in model development:<\/p>\n<ul>\n<li><strong>Eligible:<\/strong> Designing models from scratch or iteratively experimenting with architectures and developing different approaches. These activities involve uncertainty and experimentation, for example, not knowing whether a model will perform as intended and systematically testing different iterations to overcome limitations.<\/li>\n<li><strong>Not Eligible: <\/strong>Integrating pre-trained generative models through APIs or using them \u201cout of the box\u201d without engaging in deeper experimentation. These are routine deployments, not SR&amp;ED.<\/li>\n<\/ul>\n<p><strong>Put simply: <\/strong>if the model is being treated as a black box, the work is not eligible. If it is being opened, modified, and pushed beyond its intended capabilities, then SR&amp;ED eligibility applies.<\/p>\n<h2 class=\"wp-block-heading\">Generative AI as a Supporting Tool<\/h2>\n<p>Generative AI does not need to be the primary focus of the <strong><a href=\"https:\/\/leyton.com\/ca\/insights\/articles\/how-to-differentiate-types-of-rd\/\">R&amp;D project<\/a><\/strong> to be eligible. It can also qualify when it supports other core SR&amp;ED activities.<\/p>\n<p>For example, consider a company conducting experimental development in biotech. If Generative AI tools are used to automate complex data cleaning, this supporting activity may also be claimed, because it directly enables the eligible R&amp;D.<\/p>\n<p><strong>This is a critical point: <\/strong>AI activities that contribute to advancing the experimental development, not just the business, can form part of an SR&amp;ED claim.<\/p>\n<h2 class=\"wp-block-heading\">Documentation and Evidence<\/h2>\n<p>Clear records are essential to distinguish experimental development from routine application.<\/p>\n<p>Leyton recommends capturing:<\/p>\n<ul>\n<li><strong>Iterations:<\/strong> Each attempt, including both successes and failures.<\/li>\n<li><strong>Training cycles:<\/strong> How datasets and models evolved over time.<\/li>\n<li><strong>Uncertainties: <\/strong>What was unknown at the start, and how the team resolved it.<\/li>\n<\/ul>\n<p>Strong documentation not only protects the claim but also builds a repository of internal intellectual property for future projects.<\/p>\n<h2 class=\"wp-block-heading\">The Business Impact<\/h2>\n<p>Generative AI offers organizations a chance to create defensible innovation. By training proprietary datasets, building custom models, and experimenting at the edge of what\u2019s possible, businesses unlock both:<\/p>\n<ul>\n<li>SR&amp;ED funding to support their R&amp;D.<\/li>\n<li>Strategic IP advantages that differentiate them in competitive markets.<\/li>\n<\/ul>\n<p>Conversely, companies that limit AI use to routine applications risk missing out on both financial support and long-term innovation benefits.<\/p>\n<h2 class=\"wp-block-heading\">Key Takeaways<\/h2>\n<p>Generative AI can qualify under <strong><a href=\"https:\/\/leyton.com\/ca\/sred-tax-credit-calculator\/\">SR&amp;ED<\/a><\/strong>, but only when approached as experimental development rather than simple implementation.<\/p>\n<ul>\n<li><strong>Eligible: <\/strong>Training datasets, designing and iterating on models, experimenting with architectures, or using AI to support core R&amp;D such as advanced data cleaning.<\/li>\n<li><strong>Not Eligible: <\/strong>Plug-and-play use of pre-trained models, off-the-shelf datasets, or deployments without systematic experimentation.<\/li>\n<\/ul>\n<p>At Leyton, we believe the bottom line is simple: eligibility depends on innovation, not application. Companies that experiment, iterate, and push technological boundaries are not only advancing AI but also unlocking the SR&amp;ED incentives designed to support this type of work.<\/p>\n<p>Contact our experts to find out if your AI project qualifies for SR&amp;ED! <\/p>\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<div class=\"wp-block-buttons\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/leyton.com\/ca\/contact-us\/\">Contact an expert<\/a><\/div>\n<\/div>\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<h3>Sources<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.canada.ca\/en\/revenue-agency\/services\/scientific-research-experimental-development-tax-incentive-program.html\"><strong>Government of Canada <\/strong>&#8211; Scientific Research and Experimental Development (SR&amp;ED) tax incentives<\/a><\/li>\n<li><a href=\"https:\/\/www.canada.ca\/en\/revenue-agency\/services\/scientific-research-experimental-development-tax-incentive-program\/sred-policies-guidelines\/guidelines-eligibility-work-sred-tax-incentives.html\"><strong>Government of Canada<\/strong> &#8211; Guidelines on the eligibility of work for scientific research and experimental development (SR&amp;ED) tax incentives<\/a><\/li>\n<li><a href=\"https:\/\/heqco.ca\/research\/consortia\/gen-ai\/\"><strong>HEQCO Consortium<\/strong> &#8211; Consortium on Generative Artificial Intelligence (AI)<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>At Leyton, we work closely with innovative companies that are adopting Generative AI to accelerate research and development. The opportunities are immense, but when it comes to the Scientific Research &amp; Experimental Development (SR&amp;ED) program, it is crucial to understand that not all AI activities are eligible. The distinction between experimental development and routine application [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2926,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[5243,131],"tags":[2457,457990,2288,115,109,113],"expertise":[774],"class_list":["post-2232","article","type-article","status-publish","format-standard","has-post-thumbnail","hentry","category-ict-en","category-rsde-2-en","tag-ai","tag-generative-ai-en","tag-rd","tag-sred-en","tag-sred-tax-credit","tag-sred-2","expertise-sred-tax-credits"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.1 (Yoast SEO v28.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Eligibility and impact of Generative AI in SR&amp;ED - Leyton Canada<\/title>\n<meta name=\"description\" content=\"Explore how Generative AI qualifies for the SR&amp;ED tax incentive in Canada, including official eligibility guidelines and policy advice\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/leyton.com\/ca\/en\/insights\/articles\/eligibility-and-impact-of-generative-ai-in-sred\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Eligibility and impact of Generative AI in SR&amp;ED\" \/>\n<meta property=\"og:description\" content=\"Explore how Generative AI qualifies for the SR&amp;ED tax incentive in Canada, including official eligibility guidelines and policy advice\" \/>\n<meta property=\"og:url\" content=\"https:\/\/leyton.com\/ca\/en\/insights\/articles\/eligibility-and-impact-of-generative-ai-in-sred\/\" \/>\n<meta property=\"og:site_name\" content=\"Leyton Canada\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-26T15:03:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/leyton.com\/wp-content\/blogs.dir\/3\/files\/2025\/11\/Canada-Website-inside-pictures-50.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"655\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/leyton.com\\\/ca\\\/en\\\/insights\\\/articles\\\/eligibility-and-impact-of-generative-ai-in-sred\\\/\",\"url\":\"https:\\\/\\\/leyton.com\\\/ca\\\/en\\\/insights\\\/articles\\\/eligibility-and-impact-of-generative-ai-in-sred\\\/\",\"name\":\"Eligibility and impact of Generative AI in SR&ED - 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