02 Research evidence series
Our papers review research on AI in marketing, work and learning. Each one compares study findings, explains the methods and links to the original sources.
Task-based labour research and AI field experiments distinguish exposure, assistance, reallocation and observed employment outcomes.
15 references · 3 figures · 19 min read
A review of heterogeneous human–AI outcomes, separating access and reliance from productivity and independent capability.
14 references · 2 figures · 18 min read
Research on offloading, explanations, automation bias and interface design in human–AI decision-making.
16 references · 2 figures · 16 min read
A detailed review of the measurement evidence behind organisational AI readiness and the limits of composite scores.
20 references · 3 figures · 23 min read
A review of the engineering obligations that persist after an AI model is acquired or a working demonstration is built.
16 references · 2 figures · 16 min read
A review of inference systems and unit economics, separating token prices from the full cost of accepted work.
19 references · 4 figures · 18 min read
A technical review of inference memory, quantisation, serving performance and resource accounting for local and hosted systems.
20 references · 5 figures · 23 min read
Research on model scale, specialisation and compression, with a framework for testing quality-preserving substitution.
21 references · 4 figures · 20 min read
A review of indirect prompt injection, model-side defences and the permission boundaries around tool-using agents.
17 references · 3 figures · 17 min read
Technical evidence on memorisation and extraction, alongside the processing distinctions needed to assess marketing data flows.
15 references · 2 figures · 16 min read
Showing 11–20 of 30 papers
Dates show evidence cutoffs · Source references included in every paper
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