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European Commission · Stakeholder consultation

Questionnaire on AI adoption and future needs in the sector

Your input helps identify concrete challenges and opportunities from the perspective of organisations active in the sector. Answer only the questions within your area of expertise. Responses are stored securely in the EU.

The deadline to participate in the consultation is 30 October 2026.

~15 min · you can skip questions   •   Secure · responses stored in the EU   •   5 sections + open comments

Thank you for contributing to this consultation.

Following the structured dialogues and exchanges with stakeholders in the sector, the European Commission is gathering additional input to develop a better understanding of the current state of Artificial Intelligence (AI) adoption, the opportunities and challenges faced by organisations, and the actions that could further support the development and uptake of AI. The information collected through this questionnaire will contribute to the identification of:

  • the current level and key trends of AI adoption in the sector;
  • the main drivers and barriers affecting AI development and uptake;
  • existing initiatives and support mechanisms;
  • promising AI use cases and the conditions required for their successful implementation and scaling; and
  • potential future actions and policy recommendations to address existing gaps and accelerate AI adoption.

 

Your input will help us identify concrete challenges and opportunities from the perspective of organisations active in the sector.

You are welcome to answer only the questions that fall within your area of expertise. Where relevant, please provide concrete examples, evidence, reports or links to additional sources of information.

The deadline to participate in the consultation is 30 October 2026.

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Section 1 · About you and your organisation
Name
Organisation
Position / role
Email
So we can follow up if needed.
Type of organisation
If “Other”, please specify
Country / countries of activity
Area of expertise or activity
Section 2 · Current state of AI adoption in the sector
This section aims to better understand the current level of AI adoption in the sector, including relevant trends, differences between regions, sub-sectors or types of organisations, as well as the main factors driving or limiting AI uptake.
2.1 How would you describe the current level of AI adoption in your sector?
Please indicate, where possible, the types of AI solutions currently being used and their level of maturity or deployment. Please refer to the standard Technology Readiness Level (TRL) definitions (TRL 1–9) when assessing the maturity of the solution, and indicate the applicable TRL.
2.2 Which types of AI solutions are currently being adopted or used, and for which applications?
Please indicate the current level of adoption for each type of AI solution and, where applicable, its main application(s).
Types of AI
Please select all that apply.
If “Other”, please specify
For the AI solutions selected above, please indicate the main applications / use cases
If “Other”, please specify
2.3 What are the main factors driving organisations to develop or adopt AI?
For example, these may include productivity improvements, labour shortages, competitiveness, quality improvement, cost reduction, sustainability objectives or customer demand.
2.4 What are the main barriers to AI adoption in the manufacturing sector?
Where relevant, please consider barriers related to:
– access to or availability of data;
– computing capacity or infrastructure;
– access to skills and expertise;
– investment costs or access to funding;
– integration with existing systems;
– interoperability;
– legal, regulatory or intellectual property issues;
– organisational readiness or resistance to change; or
– other sector-specific challenges.
2.5 Are there any additional trends, opportunities or challenges related to AI adoption that should be taken into account?
Section 3 · Existing support mechanisms and initiatives
This section aims to identify existing initiatives, programmes and support mechanisms that contribute to the development or adoption of AI in the sector, as well as potential gaps in the current support landscape.
3.1 Which types of support mechanisms does your organisation currently use or have access to for AI development or adoption in manufacturing?
Please select all that apply.
If “Other”, please specify
3.2 What are the main gaps or unmet needs in the support available for AI development or adoption in manufacturing?
Please select up to three.
If “Other”, please specify
3.3 Are there examples of successful initiatives from other countries or sectors that could be replicated or adapted?
Section 4 · Promising AI use cases and solutions
This section aims to identify promising AI solutions and assess their potential impact, implementation requirements and potential for scaling. Please complete the following information for each AI use case or solution you consider particularly relevant. You may duplicate this section (“Add new”) if you wish to provide information on more than one use case.
AI Use Case / Solution
Section 5 · Future needs and policy recommendations
This section focuses on the future. Building on the challenges and opportunities identified above, we are interested in your views on the actions that could help address existing gaps and accelerate the development and uptake of AI in the sector.
5.1 What are the main barriers currently limiting wider AI adoption in the manufacturing sector?
Please select up to three.
If “Other”, please specify
5.2 How could existing support mechanisms or initiatives be improved?
Please indicate, where possible, specific changes or improvements that could make existing support more effective.
5.3 Are there specific AI solutions or use cases that would benefit from targeted support or investment?
Please explain why these solutions should be prioritised.
5.4 What infrastructure or enabling conditions would be needed to accelerate AI adoption?
This may include, for example:
– access to computing capacity;
– access to high-quality data;
– testing and experimentation facilities;
– interoperability frameworks;
– mechanisms for collaboration and knowledge exchange;
– regulatory support or guidance.
5.5 Are dedicated upskilling or reskilling initiatives needed?
If yes, please indicate which skills or target groups should be prioritised.
5.6 Would the sector benefit from new mechanisms for collaboration between different actors?
For example, mechanisms supporting exchanges between SMEs, larger companies, technology providers, research organisations or public authorities.
5.7 What would be your priority recommendations for future action?
Please indicate up to three priority recommendations that, in your view, could have the greatest impact on AI development and adoption in the sector.
Priority recommendation 1
Priority recommendation 2
Priority recommendation 3
Additional comments
Please use this space to provide any additional comments, examples or information that you consider relevant and that have not been covered in the questionnaire.
Additional comments
Data protection (GDPR) *
The personal data collected through this questionnaire, including participants’ names, organisations and, if provided, email addresses, will be processed in accordance with the General Data Protection Regulation (GDPR) and used solely for the purposes of this consultation and related follow-up. Individual responses and information will be anonymised and presented only in aggregated form in the final results, so that neither individual respondents nor their organisations can be identified. The final results of the consultation will be shared with participants. Personal data will be kept until the end of the AI-MATTERS project and then deleted.
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