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.
Evidence on generated advertising, audience response and why creative ratings or clicks do not establish incremental sales.
17 references · 2 figures · 17 min read
Compares synthetic survey validation across averages, rankings, subgroups and individuals, including recent polling evidence.
19 references · 4 figures · 18 min read
A review of why task productivity, agency cost, contract price and client value require separate evidence.
15 references · 2 figures · 17 min read
A review of AI disclosure, credibility and trust, separating consumer experiments from technical provenance and legal categories.
15 references · 1 figure · 16 min read
Research on AI-supported strategic decisions, professional performance and the limits of inferring firm outcomes from rated plans.
18 references · 3 figures · 17 min read
How AI assistance affects creative quality, collective diversity and subsequent unaided performance.
18 references · 3 figures · 20 min read
A review of generative-search visibility research, citation quality and the limits of applying experimental gains across platforms.
16 references · 2 figures · 16 min read
Agent research distinguishes successful demonstrations from repeatable workflow completion under tool, policy and resource constraints.
20 references · 4 figures · 23 min read
Research on project failure, task fit and adoption explains why technical demonstrations and sustained organisational use differ.
17 references · 2 figures · 17 min read
A synthesis separating measured task gains, workflow productivity, realised cost savings and wider economic returns from AI.
18 references · 3 figures · 19 min read
Showing 1–10 of 30 papers
Dates show evidence cutoffs · Source references included in every paper
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