Kanz and Saudi HRSD bring AI Guinness World record to LEAP 2026

Riyadh — At LEAP 2026, Saudi Arabia’s Ministry of Human Resources and Social Development (HRSD) and AI recruitment copilot Kanz are showcasing a Guinness World Record for the most users in an artificial intelligence video lesson, citing 14,075 participants. The record was set on July 15 during an eight-day AI hackathon and is being positioned by the organizers as evidence that large-scale, practical AI training can be delivered at speed in support of Vision 2030 priorities. More consequential than the headline figure, the initiative produced 4,450 AI projects, with 3,428 published as functioning digital products by participants, many of whom did not come from technical backgrounds, according to the organizers’ releases and reports from Saudi outlets. The hackathon drew 51,693 registrants from 170 countries, with Saudi Arabia contributing the largest national cohort at more than 19,000 registrants. The program also issued 24,496 certificates jointly signed by HRSD and the Lebanese American University, underscoring the formal training component that sat alongside the build-focused format. Kanz is using the Riyadh stage to underline these outcomes while it competes as a shortlisted startup in LEAP’s Rocket Fuel pitch competition, linking the record to a broader argument for portfolio-based assessment in hiring. The claims and figures have been reported by regional media and the Saudi Press Agency, with the organizers framing the effort as a scalable template for skills development under Vision 2030’s digital ambitions. The July record for the most users in an AI video lesson is specific in scope and tied to a defined instructional format, rather than a loose measure of attendance. HRSD and Kanz presented the 14,075-participant milestone as a marker of their ability to convene and deliver instruction at volume, while the eight-day structure aimed to channel that scale into completed outputs rather than one-off exposure. Reporting on the program points to the record as a validation moment for the underlying delivery model, not just a promotional accolade, as the partners look to demonstrate measurable outcomes at LEAP 2026 in Riyadh. The participation data set a clear baseline. The 51,693 global registrants established international reach, and the more than 19,000 Saudi registrants indicate substantial domestic engagement. Organizers also emphasized that 24,496 certificates were issued, with HRSD and the Lebanese American University listed as co-signatories. In the context of Vision 2030, those numbers are being used to support the case that workforce-scale upskilling can be mobilized well beyond traditional classrooms, with public institutions and startups combining to drive outcomes. As with any organizer-supplied metrics, independent validation would depend on future audits or third-party studies, but the figures provide a concrete frame for assessing near-term impact. The most material data point from the initiative is not the record but the output: 4,450 AI projects submitted and 3,428 of those published as functioning digital products by participants, according to the organizers. This ratio suggests that a large share of participants advanced beyond prototypes to deployed tools, even if initial scope and polish likely varied. The organizers and Saudi media reports note that many participants came from non-technical backgrounds, highlighting the accessibility of current AI building blocks and coaching formats. From a market perspective, that volume of builds has several implications. First, it indicates that low-code and AI-assisted development can flatten early learning curves, enabling newcomers to assemble working systems within days. Second, the publication step implies that product scaffolding—such as hosting, integration templates, or guided deployment—was embedded in the hackathon format. Third, it yields a cohort of participants with live artifacts to share, which can be used to test the proposition that functional portfolios improve matching between talent and opportunity. Kanz, which is competing in the Rocket Fuel pitch competition at LEAP 2026, is explicitly advocating for that shift. As presented by the company and program partners, the goal is to move institutional recognition of talent away from static credentials and toward “proof of work” evidenced by functioning AI projects. Organizers and supportive coverage argue that such portfolios can make skills legible across borders and backgrounds, particularly when participants lack traditional computer science degrees. While that case remains to be proven at labor-market scale, the hackathon’s thousands of published builds offer an unusually dense data set for employers, educators, and policymakers to examine. For Saudi Arabia, the domestic registration lead and the record itself align with the government’s push to accelerate digital capabilities. If a fraction of the 3,428 published projects are refined into practical tools—whether internal aut