Establish a lawful basis
Define purpose, necessity and lawful processing before supplying personal data to an AI system.
← Change selectionsAI industry outlook
AI uses for
Marketing Agencies
Use AI to multiply research and production capacity, then connect it to measurement and controlled campaign operations without outsourcing strategy or truth.
Small or medium strategy, creative, media and analytics agency- Country
- United Kingdom
- Industry
- Marketing Agencies
- Organization analyzed
- Small or medium strategy, creative, media and analytics agency
Complete possible AI utilization spectrum
Possible AI utilization
What today’s AI could practically be used for
Standard, Integrated and Advanced form one complete opportunity spectrum. Explore each depth below.Showing
Standard AI
Accessible assistance using mainstream tools, approved information and bounded workflows.
- 01
Develop brief and concept options
Generate structured territories, questions and early concepts from a client brief.
What people still decide
Strategists select the direction and challenge assumptions.
- 02
Produce channel variants
Adapt approved copy and creative concepts across formats, lengths and audiences.
What people still decide
Humans protect the idea, claims and brand voice.
- 03
Summarize research and reporting
Synthesize supplied sources, campaign results and meeting material with citations.
What people still decide
Analysts verify data, attribution and conclusions.
- 04
Prepare proposals and status updates
Draft scopes, timelines, recaps and next steps from approved information.
What people still decide
Account teams approve commitments and commercial terms.
Research basis and limitations
This is a qualitative capability outlook, not an adoption claim or a completed numeric baseline. Use cases are grounded in the industry's work and current general AI capabilities; scoring requires task weights and sector-specific validation.
- 11-2021.00 — Marketing Managers ↗O*NET OnLine / U.S. Department of Labor · Occupational basis for research, strategy, pricing, promotion, media and performance analysis.
- Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile ↗National Institute of Standards and Technology · Cross-industry basis for identifying generative-AI risks, testing, oversight and governance controls.
Deployment context · United Kingdom
Deployment context in United Kingdom
AI workflows using personal data need a lawful, fair and transparent design under the UK data-protection regime, with extra care around consequential decisions.
This context does not currently change the Possible AI Utilization analysis or any experimental score.
Minimise and explain
Use only necessary data and be able to explain significant AI-assisted processes and decisions to affected people.
Assess higher-risk uses
Use impact assessment, meaningful human review and documented controls where rights or freedoms may be affected.
Observed utilization · United Kingdom evidence · GB
Broader official sector proxy · not direct industry adoption
What the closest official sector reports
These are country-level broad-sector observations. Industry links are transparent mappings, not claims about every business in that industry.
42.1%
Professional, scientific and technical activities
Businesses currently using at least one listed AI technology
Scope and source
Period2025-12-15 to 2025-12-28
Industry mappingBroader than the selected industry: this sector also contains other professional, scientific and technical services.
EvidenceGrade B at the source-sector level · Medium confidence. The mapped AIBI industry is a broader-sector proxy.
CalculationOfficial weighted response table: 100% minus 52.2% not using AI and 5.7% not sure.
Utilization gap
Gap: Not yet quantifiable
The possible-utilization outlook describes tasks and workflows, while current country evidence measures broader sectors or differently defined forms of AI use. Missing or incompatible evidence is not treated as zero.
Possible utilizationTask-level opportunity spectrum
Observed utilizationPartial, differently defined evidence
Not comparable yet