As organisations race to realise the promise of AI, a growing problem is emerging: AI workslop. In this thought leadership article, Corndel's Head of AI Hayley Watson, PhD argues that workslop isn't fundamentally a technology problem, but a human one. Exploring the hidden impact on productivity, quality, trust and workplace relationships, she makes the case for a more thoughtful approach to AI adoption, grounded in judgement, empathy and patience. The antidote to AI workslop, she suggests, isn't better AI. It's better human adaptation.

Who should shape AI decisions? Hayley Watson argues that successful AI transformation depends on widening the room, involving the people who use, govern and support the technology.

Discover why Machine Learning Engineers are vital for modern business. Learn how they automate systems, scale AI projects and drive ROI through expert upskilling.

Discover why data engineers are essential for modern business success. Learn how to support your team, build robust infrastructure and drive innovation today.

Learn all about the Growth and Skills Levy, how it differs from the Apprenticeship Levy, and how Corndel can help you upskill your teams.

Discover how Corndel’s AI apprenticeships give individuals the technical mastery and skills to shape the future of business. Learn how we turn ability into impact.

Learn all about the Growth and Skills Levy, how it differs from the Apprenticeship Levy, and how Corndel can help you upskill your teams.

Discover what AI Apprenticeships are and how they work under the new Growth and Skills Levy. Explore Corndel’s fully funded AI Academy programmes, tailored pathways, and expert coaching designed to drive measurable business ROI.

Discover what AI Apprenticeships are and how they work under the new Growth and Skills Levy. Explore Corndel’s fully funded AI Academy programmes, tailored pathways, and expert coaching designed to drive measurable business ROI.

How to turn investment into real value

Learn all about Corndel's Data Analyst Apprenticeship programme, and how it benefits employers and participants.

Employers investing in AI training are increasingly presented with bold claims: productivity gains, cost reductions and ROI. What’s far less clear is how many of those claims stand up to scrutiny, and how many rely on optimistic assumptions rather than verifiable evidence.