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Help map the AI friction points - Survey

13 Aug 2026

Human and machine pointing at things, trying to work out where the pain points in AI adoption are image
In this moment: Rosie Sherry
Hello, MoTaversians πŸ‘‹

A moment for some friends doing genuinely useful research over at Eficode.

My friend Oskar Holm at Eficode, (AlsoΒ Sussex Digital & Brighton Data Forum) and his colleagues have learned a lot about helping their clients get real value out of AI - but they know far less about what's happening outside of their client pool.

Across industries, what actually blocks return-on-investment when teams adopt AI in the software development lifecycle? Is it people, process, or tech? The line between "Easy win" and "Overwhelming burden" is moving fast, and they're building a snapshot of where it sits right now.

So, if you build software anywhere in the world, could you spare two minutes to tell us where your AI adoption hits friction?

πŸ“ Survey: https://forms.gle/6CaBMDrp9fqxrLmb6

The anonymised, aggregate results will be made public and widely shared - so your two minutes come back to you as data everyone can use. Please share with your engineering colleagues, much appreciated! πŸ™
Justin Holsgrove profile image
Justin Holsgrove
Senior Test Engineer/ QA Manager
He/Him

πŸ€– Test automator, engineer and QA Manager
βœ’οΈ testtechie.co.uk -> testtechie9.wordpress.com
πŸ™†β€β™‚οΈ jholsgrove.github.io

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