Government body launches tender for AI adoption impact research
Tender seeks research on how AI adoption affects sector businesses and which policy interventions genuinely support effective, evidence-based deployment.
Tender seeks research on how AI adoption affects sector businesses and which policy interventions genuinely support effective, evidence-based deployment.
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A new contract from the Department for Culture, Media & Sport seeks research partners to test what really works when businesses in its sectors adopt artificial intelligence, using ethnographic studies and randomised control trials to inform future policy.
Published on 24th September 2026, the AI Adoption Research for DCMS contract notice asks suppliers to design and deliver research on artificial intelligence adoption in sectors overseen by the Department for Culture, Media & Sport. According to the notice, the work must evaluate the effectiveness of AI adoption, with a clear focus on business experiences and on identifying effective policy interventions.
The brief points towards two central objectives:
To do this, the department specifies ethnographic studies and randomised control trials as the main research approaches. Ethnographic work can reveal how AI changes day-to-day tasks, workplace relationships and decision-making, while randomised control trials allow different interventions to be compared in a systematic way. Bringing these methods together suggests a demand for granular insight into what happens inside organisations, coupled with robust evidence on which levers government should pull.
The contract follows on from earlier market signalling. In a prior information notice published on 14th September 2026, the Department for Culture, Media and Sport outlined its intention to commission AI Adoption Research in DCMS, again stressing the need to understand business experiences and to evaluate different kinds of policy support. The new contract notice turns that intent into a live procurement, confirming that the department now aims to appoint a supplier or consortium to carry out the work.
This focus on evidence about “what works” in AI adoption sits alongside other government moves to shape the wider AI ecosystem. In a prior information notice issued on 17th April 2026, the Department for Science, Innovation & Technology set out plans for Sovereign AI R&D Support, seeking to back AI startups developing prototype capabilities linked to specific policy priorities. Where that initiative concentrates on new technologies and suppliers, the Department for Culture, Media & Sport contract focuses on how existing businesses actually adopt AI, and how policy can smooth or hinder that process.
Across Europe, other public bodies are commissioning similar analytical work. In May 2026, the European Foundation for the Improvement of Living and Working Conditions launched a contract for AI Technologies Case Studies, seeking firm-level evidence on the adoption and impact of AI across several Member States, with attention to productivity, work organisation, skills and employment conditions. The Department for Culture, Media & Sport research will add a sector-specific counterpart to this broader comparative picture.
Many recent procurements show public bodies grappling with the organisational side of AI rather than just the technology itself. On 24th April 2026, NHSBSA signalled its intention to buy AI Adoption Services to establish AI foundations, governance processes, a playbook and strategy, as well as to develop tangible products. On 10th September 2026, Transport for London, on behalf of the GLA Group, issued a prior information notice for AI Adoption Programme Support, seeking an external partner to help define AI principles, policy governance, training and an operating model.
Skills development is another clear theme. In April 2026, The King's Trust went to market for Digital & AI Skills Training Services aimed at young people facing digital exclusion, while Technology Ireland Digital Skillnet sought a provider to deliver an AI Workforce Development Programme to help organisations integrate AI into daily practice. In September 2026, Historic England followed with a call for Digital and AI Skills Training to raise workforce confidence and capability.
Governance and accountability are being addressed in parallel. On 11th August 2026, the BBC published a prior information notice for a Privacy and AI Governance Platform to improve the efficiency and effectiveness of its governance activities, including assessments and reporting. In July 2026, the Financial Reporting Council issued a contract notice for Research on XBRL Value in AI Reporting, seeking to benchmark how structured data formats perform against PDF and HTML in an AI-driven reporting environment.
Against this backdrop, the Department for Culture, Media & Sport contract stands out for its explicit insistence on tracking business experiences and policy interventions together. Rather than procuring training, governance tools or strategy support, the department is asking for research that can inform such initiatives in future, grounded in detailed observation and controlled experimentation.
Several other recent notices underline a growing appetite for rigorous evaluation of AI's effects on organisations, workers and public services. On 2nd September 2026, the Bundesministerium für Arbeit und Soziales launched a research contract on Utilizing Workforce Potentials through AI, examining how small and medium-sized enterprises can use digital technologies and AI to support employees with disabilities, improve inclusion and respond to an ageing workforce. On 31st August 2026, the Bundesministerium für Gesundheit sought support for AI Compliance in Healthcare through real-world laboratories designed to help developers navigate regulatory requirements.
In August 2026, the Administrative Office of the United States Courts launched a request for information on Cost Benefit Analysis RFI, seeking industry insight on commercial capabilities, pricing methodologies and contract structures for assessing AI use cases in the judicial system. Taken together with the European and national research projects, this points to a wider trend: public authorities want AI investments to be underpinned by evidence on costs, benefits, risks and distributional impacts, rather than by assumptions or vendor claims alone.
The Department for Culture, Media & Sport brief fits squarely within that trend. By specifying ethnographic studies and randomised control trials, the department is signalling that lived experience in workplaces and measurable policy outcomes both matter. The notice does not spell out details such as budget, precise sector coverage or reporting timescales, but it is clear about the need for robust, mixed-method evidence to inform future interventions.
For research organisations, evaluation specialists and consortia that can combine qualitative fieldwork with experimental design, the Department for Culture, Media & Sport contract offers a chance to shape how AI adoption is understood across culture, media and sport sectors. The requirement to focus on business experiences suggests that close collaboration with firms on the ground will be central to any successful proposal.
For policymakers and practitioners, the resulting studies should help clarify which types of support actually work for businesses adopting AI, and which do not. Placed alongside initiatives on AI skills, governance and compliance across other public bodies, the findings from AI Adoption Research for DCMS are likely to become a reference point in debates about how the state can encourage effective, responsible use of AI without losing sight of real-world practice.
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