Ensuring Equal Access to Artificial Intelligence for Small Businesses
Executive Summary
Artificial intelligence has the potential to transform productivity, innovation and economic growth across the UK. However, without deliberate policy intervention, the benefits of AI risk being concentrated among large organisations with the resources to invest in technology, skills and infrastructure.
Small businesses, microbusinesses and the self-employed make up the vast majority of the UK business population and are central to local economies, innovation and job creation. Government policy must therefore ensure that the AI transition is inclusive by design.
This paper outlines practical steps ministers can take to prevent a widening digital divide and to enable smaller firms to adopt AI safely, confidently and competitively.
The Risk of a Two-Tier AI Economy
AI adoption is already being shaped by access to capital, technical expertise and data. Larger organisations are better positioned to:
- Invest in proprietary tools
- Recruit specialist talent
- Integrate AI into workflows
- Manage regulatory compliance
- Absorb implementation risk
Without targeted support, smaller businesses risk becoming consumers rather than beneficiaries of AI-driven growth.
A two-tier economy would:
- Reduce competition
- Slow innovation
- Entrench market concentration
- Weaken local economic resilience
- Limit productivity gains across the wider economy
Inclusive AI adoption is therefore not simply a fairness issue – it is an economic necessity.
Guiding Principles for Government
We recommend that the UK’s AI strategy be underpinned by the following principles:
Accessibility – AI tools, infrastructure and support should be within reach of businesses of all sizes.
Affordability – Cost must not become a structural barrier to adoption.
Practicality – Support should focus on real-world business applications rather than theoretical capability.
Proportionality – Regulatory requirements must reflect the capacity of smaller firms.
Trust – Businesses need clarity and confidence to adopt AI responsibly.
Policy Recommendations
1. Create a National AI Adoption Programme for Small Businesses
Government should establish a dedicated programme focused on practical adoption rather than high-level awareness.
This should include:
- Funded AI advisory support
- Sector-specific guidance
- Implementation toolkits
- Access to trusted vendor frameworks
Delivery could build on existing local business support networks to avoid duplication.
2. Introduce Targeted Financial Support
Upfront cost remains one of the greatest barriers to adoption.
Ministers should consider:
- Time-limited AI adoption grants
- Enhanced tax relief for productivity-enhancing technology
- Voucher schemes for microbusinesses
- Support for AI-related training
Investment at this stage would accelerate productivity and strengthen long-term tax revenues.
3. Ensure Regulation is Proportionate
Overly complex compliance requirements risk discouraging adoption among smaller firms.
Government should:
- Conduct small business impact assessments for AI regulation
- Publish simplified compliance guidance
- Provide template risk assessments and policies
- Avoid duplicative reporting requirements
Regulatory clarity is particularly important for firms without in-house legal expertise.
4. Privacy & Security
AI providers must demonstrate a clear duty of care to users, grounded in transparency, accountability and data protection. Businesses, particularly small and micro
enterprises, are entitled to full clarity regarding how their information is accessed, processed, stored and shared when using AI tools. Without this transparency, businesses cannot make informed and proportionate decisions about adoption and risk.
AI providers should therefore clearly set out:
- The specific categories of data the AI application can access
- The purposes for which that data will be used, including whether it will be used for training, analytics, product improvement or other secondary purposes
- Whether data will be shared with third parties, affiliates or partners, and under what conditions
- Where and how data will be stored, including jurisdiction and security safeguards
- The process for permanently deleting data where the AI application is no longer required
- The mechanisms available to opt out of data sharing, secondary processing or model training
- The retention periods that apply to business data
Clear, accessible and plain language privacy information should be standard practice, enabling small businesses to assess commercial, legal and reputational risks before engaging with AI systems.
5. Expand Digital and Data Infrastructure
AI capability depends on reliable digital foundations.
Policy should prioritise:
- High-quality broadband and mobile connectivity
- Affordable cloud access
- Secure data-sharing frameworks
- Interoperability standards that prevent vendor lock-in
Infrastructure investment is essential to ensure that geography does not determine AI readiness.
6. Build National AI Skills at Every Business Size
Skills shortages disproportionately affect smaller employers.
We recommend:
- Flexible, modular training designed for time-poor business owners
- Short accredited courses focused on application rather than theory
- Integration of AI into existing business support programmes
- Leadership-level education to support strategic adoption
AI capability should not be limited to firms able to recruit specialists.
7. Use Public Procurement to Support Inclusive Growth
Government purchasing power can shape markets.
Procurement frameworks should:
- Avoid unnecessary scale requirements
- Encourage SME participation in AI supply chains
- Break large contracts into accessible lots
- Reward innovation from smaller providers
Inclusive procurement strengthens competition and reduces dependency on a small number of technology providers.
8. Promote Trusted Guidance and Reduce Market Noise
The pace of AI development has created a crowded and often confusing vendor landscape.
Government can help by:
- Curating a trusted directory of approved tools
- Publishing practical use cases
- Sharing productivity evidence
- Supporting independent evaluation
Clarity will help businesses invest with confidence.
The Role of Government
The UK has an opportunity to lead globally in responsible and inclusive AI adoption. Achieving this will require policy that recognises the structural differences between large organisations and smaller enterprises.
Small businesses do not need protection from AI – they need the capability to benefit from it.
By focusing on access, affordability and practical support, ministers can ensure that AI becomes a broad-based driver of growth rather than a force that widens economic gaps.
Conclusion
AI will shape the competitiveness of the UK economy for decades to come. Ensuring that smaller businesses can participate fully is not optional – it is fundamental to national productivity and economic resilience.
We urge ministers to place inclusive adoption at the centre of AI policy and stand ready to support the development of initiatives that enable smaller firms to thrive in an AI-enabled economy.