AI Competency for the Transport Sector
Call to Action in the Transport Sector
The UK transport sector faces significant skills gaps, particularly in AI and emerging technologies. These gaps threaten the sector's growth and competitiveness, with several key areas of concern identified across various sources.
The transport industry is experiencing a potential shortage of skilled workers, which could hinder the UK's overall objectives in AI adoption and digital transformation[1][2]. Only 50% of UK-based transport and logistics professionals utilise basic data analytics, and a mere 25% leverage AI technology, indicating a substantial skills gap[2]. The sector has also seen a 20% decline in productivity over the past five years, highlighting the urgent need for innovation and efficiency improvements[3].To address these challenges, several recommendations have been proposed:
1. The Department for Transport should publish a policy roadmap for addressing issues identified within its transport labour market and skills consultation[1].
2. Establish a cross-modal digital skills taskforce for transport, bringing representatives from significant trade bodies, industry, government, and local authorities[1].
3. Create a Transport Digital Champion Advisory Council to develop transport-specific resources for addressing the digital skills challenge[1].
4. Reform the Apprenticeship Levy to transform its impact and inject new life into the sector[2].
5. Develop an AI Transport Strategy that promotes collaboration with other industries for data sharing and AI ecosystem development[3].
Atlas based on [7] offers a scalable, cost-effective option for AI competency development in the transport sector, but it needs to be aligned with industry priorities. The anticipated Department for Transport's AI strategy exemplifies the forward-thinking required to future-proof the workforce[2].
To this end, in December 2024 and January 2025, industry leaders are hosting online meet-ups to discuss the sector's next steps in addressing the AI skills gap. Join the conversation to shape the future of AI skills development in transport calendly.com/josephconnor-carefulai/tuesday-1000-1030
Citations:
[1] https://www.techuk.org/resource/driving-the-future-of-transport-addressing-the-skills-gap.html
[2] https://www.capita.com/our-thinking/reimagining-transportation-path-digital-talent-and-diversity
[3] https://mag.publicsectorexecutive.com/articles/ai-for-transport-bridging-the-gap-between-the-hype-and-reality
[4] https://pixl8-cloud-techuk.s3.eu-west-2.amazonaws.com/prod/public/c457072f-c1c0-4f57-a2ec1b16de5b9a11/techUK-Driving-the-Future-of-Transport-Report.pdf
[5] https://www.ciht.org.uk/knowledge-resource-centre/resources/policy-technical/the-transportation-digital-skills-gap/
[6] https://www.connectedautomateddriving.eu/blog/ertico-white-paper-ai-perspectives-mobility/
[7] AI Skills for Business Competency Framework & Resources. Author Alan Turing Institute
https://iuk-business-connect.org.uk/opportunities/ai-skills-for-business-competency-framework-and-resources/
Citation: https://zenodo.org/records/11092677, https://creativecommons.org/licenses/by/4.0/legalcode
The UK transport sector faces significant skills gaps, particularly in AI and emerging technologies. These gaps threaten the sector's growth and competitiveness, with several key areas of concern identified across various sources.
The transport industry is experiencing a potential shortage of skilled workers, which could hinder the UK's overall objectives in AI adoption and digital transformation[1][2]. Only 50% of UK-based transport and logistics professionals utilise basic data analytics, and a mere 25% leverage AI technology, indicating a substantial skills gap[2]. The sector has also seen a 20% decline in productivity over the past five years, highlighting the urgent need for innovation and efficiency improvements[3].To address these challenges, several recommendations have been proposed:
1. The Department for Transport should publish a policy roadmap for addressing issues identified within its transport labour market and skills consultation[1].
2. Establish a cross-modal digital skills taskforce for transport, bringing representatives from significant trade bodies, industry, government, and local authorities[1].
3. Create a Transport Digital Champion Advisory Council to develop transport-specific resources for addressing the digital skills challenge[1].
4. Reform the Apprenticeship Levy to transform its impact and inject new life into the sector[2].
5. Develop an AI Transport Strategy that promotes collaboration with other industries for data sharing and AI ecosystem development[3].
Atlas based on [7] offers a scalable, cost-effective option for AI competency development in the transport sector, but it needs to be aligned with industry priorities. The anticipated Department for Transport's AI strategy exemplifies the forward-thinking required to future-proof the workforce[2].
To this end, in December 2024 and January 2025, industry leaders are hosting online meet-ups to discuss the sector's next steps in addressing the AI skills gap. Join the conversation to shape the future of AI skills development in transport calendly.com/josephconnor-carefulai/tuesday-1000-1030
Citations:
[1] https://www.techuk.org/resource/driving-the-future-of-transport-addressing-the-skills-gap.html
[2] https://www.capita.com/our-thinking/reimagining-transportation-path-digital-talent-and-diversity
[3] https://mag.publicsectorexecutive.com/articles/ai-for-transport-bridging-the-gap-between-the-hype-and-reality
[4] https://pixl8-cloud-techuk.s3.eu-west-2.amazonaws.com/prod/public/c457072f-c1c0-4f57-a2ec1b16de5b9a11/techUK-Driving-the-Future-of-Transport-Report.pdf
[5] https://www.ciht.org.uk/knowledge-resource-centre/resources/policy-technical/the-transportation-digital-skills-gap/
[6] https://www.connectedautomateddriving.eu/blog/ertico-white-paper-ai-perspectives-mobility/
[7] AI Skills for Business Competency Framework & Resources. Author Alan Turing Institute
https://iuk-business-connect.org.uk/opportunities/ai-skills-for-business-competency-framework-and-resources/
Citation: https://zenodo.org/records/11092677, https://creativecommons.org/licenses/by/4.0/legalcode
