Artificial Intelligence Begins to Reshape University Technology Transfer

Artificial intelligence (AI) is increasingly finding its way into university technology transfer offices (TTOs), supporting activities ranging from contract reviews and market research to innovation scouting and patent searches. While current applications are already delivering efficiency gains, experts suggest that AI could have a much broader impact on how knowledge transfer is organised in the future.

At Trinity College Dublin, for example, AI is being used to support routine activities such as reviewing non-disclosure agreements, comparing contracts against standard templates, assessing invention disclosures and conducting preliminary market and competitor research. This can free up TTO professionals to focus on more complex activities and relationships with researchers and industry.

AI is also helping universities identify previously overlooked innovation potential. Tilburg University has piloted an AI-based scouting tool to screen research outputs for potential inventions, related patents, industry partners and funding opportunities. According to the article, the pilot identified several promising opportunities within its first weeks.

However, the growing use of AI also raises questions about the future role of TTO professionals. While some experts envisage increasing automation, universities emphasise the continued importance of human expertise, judgement and relationships, particularly when supporting researchers on their journey towards commercialisation or negotiating complex licensing arrangements.

The emerging picture is therefore less about replacing technology transfer professionals and more about reconsidering where their expertise can create the greatest value. By automating routine processes and strengthening innovation discovery, AI could allow TTOs to dedicate more resources to strategic industry engagement, co-creation and the translation of research into real-world applications.