42 The Future is Tightening: Preparing for the Shift to AI for Businesses How will AI affect fastener & fixing businesses over the next few years? The Fasten.it team take a deeper look into the recent boom in artificial intelligence. We have all been influenced by artificial intelligence in some form or another in recent years, both in our personal lives and in the business environment. Some people will be hesitant and opposed to the changes, whereas others will be embracing the fast-paced change and using the technology to enhance existing processes. How has AI affected your business, and what have you noticed change for better or worse with the recent AI takeover? We were interested to see the online consensus with potential positives and negatives of AI within businesses, specifically within the fastener & fixing industry. On this page are some industry- specific predictions for the artificial intelligence impact in the near future. At Fasten.it, we are monitoring AI as it continues to develop and watching to see if it transforms the way that the fastener & fixing industry operates. Starting small, we use AI in various ways, from making marketing and daily processes more efficient, to idea generation, fact-checking, image generation, proofing, and more. Some of the AI tools we use include ChatGPT, Adobe Firefly, Microsoft Copilot, and Google Gemini. Fasten.it uses an integrated AI-driven search feature, enhancing the platform’s product and supplier search capabilities, 3 positives likely to come from AI 3 negatives likely to come from AI 1 2 3 1 2 3 42 Leaner inventory, faster fulfilment, fewer stockouts: Fastener distributors sit on huge SKU counts (sizes, grades, coatings, packaging variants) AI-driven demand forecasting plus replenishment can reduce ‘dead stock’ while keeping critical key items available for MRO and production customers. Better quality control and lower scrap in manufacturing: Computer vision is increasingly used to detect defects (head marks, thread damage, dimensional issues) at speed well- suited to high-volume fastener production where small defect rates become expensive very quickly. Faster quoting, product-data work, and customer support: Generative AI can speed up the ‘admin heavy’ parts of the business: turning customer drawings or specs into structured RFQs, drafting quote emails, translating technical content, normalising product descriptions, and pulling together compliance packs (where the underlying data exists). Wrong recommendations can create real-world liability: In fasteners, ‘almost right’ can be dangerous because grade, coating, heat treatment, embrittlement risk, torque, and environment all matter. If AI gets a standard, grade, or drawing note wrong, it can lead to product failure, warranty claims, and reputational damage, so human checks are still essential, especially for safety-critical applications. Cybersecurity and IP/data leakage risks increase: Fastener companies are part of wider supply chains, so AI can increase integrations, data sharing, and vendor access, raising cyber risk and the chance of wider disruption. Compliance costs and regional regulation complexity: If you sell into the EU, the AI Act brings risk-based rules and potential penalties, so fastener groups may need to manage different market requirements, contracts, and documentation.
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