Focus: AI and Distribution


AI has moved decisively beyond experimentation, into functioning products


Collaboration across silicon vendors, software providers and system integrators becomes essential to avoid bottlenecks and ensure compatibility. In this context, distribution becomes an enabler of ecosystem coordination.


Sustainability and responsible scaling As AI adoption accelerates, sustainability considerations become increasingly important. Energy consumption, system efficiency and component lifecycle management must be integrated into design decisions from the outset. EMEA engineers are approaching AI scaling with cautious optimism – balancing innovation with operational discipline. Distribution can reinforce this


approach by promoting energy-efficient architectures, supporting extended


Energy consumption, system effi ciency and component lifecycle management must be integrated into design decisions from the outset


product lifecycles and providing transparency across supply networks. The ability to combine performance


optimisation with environmental responsibility will influence competitive positioning across industrial and commercial sectors alike.


Looking ahead T e Avnet Insights 2026 fi ndings point to a clear trajectory: AI is becoming a standard element of product development. As adoption deepens, the distinction between digital innovation and supply chain execution will narrow. Distribution organisations that embed


intelligence into both their operations and customer engagement models will be best positioned to support this transformation. T e next phase of AI adoption is not


simply about more powerful algorithms. It is about scaling reliably, sustainably and effi ciently across complex industrial ecosystems. In that environment, distribution is


no longer a passive intermediary. It is a strategic contributor to how quickly and how successfully AI-driven innovation reaches the market.


www.electronicsworld.co.uk May 2026 09


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