Using AI to Map the AI Skills Gap. A New Collaboration with Frontier Economics.
Artificial intelligence (AI) is rapidly transforming industries and economies, making specialized AI skills increasingly vital for the UK's growth. To address the challenge of aligning the workforce's capabilities with the evolving demands of businesses, Frontier Economics, in collaboration with Glass.AI, has pioneered an innovative approach to analyze the UK's AI skills gap.
Understanding the AI Skills Gap
The UK's ambition to lead in AI hinges on a workforce proficient in relevant AI competencies. Identifying and bridging the gap between the AI skills employers seek and those imparted by educational institutions is crucial for sustained growth.
Leveraging AI for Insight
Frontier Economics leveraged our advanced AI capability to scrutinize job advertisements and university curricula. By comparing the AI skills employers prioritize with those taught in UK universities, they identified discrepancies that could hinder the development of a robust AI talent pipeline.
The analysis revealed specific AI competencies that are in high demand but are underrepresented in current university programs. Addressing these gaps is essential to ensure that graduates possess the skills necessary to thrive in an AI-driven landscape.
Key Findings:
Significant gaps exist between the AI skills demanded by employers and those taught in UK universities.
Machine learning, data science, and cloud computing are among the most sought-after AI skills.
There is a shortage of graduates with expertise in two key AI areas: Natural Language Processing (NLP) and Cloud Computing.
Some AI skills widely taught at universities are rarely mentioned in job descriptions.
AI-related job postings have surged, but the supply of adequately skilled graduates remains insufficient.
This study showed that a data-driven approach is crucial to aligning education with workforce demands.
Conclusion
By harnessing AI technology to evaluate the job market, Frontier Economics provided valuable insights into the existing AI skills gap. This approach not only highlighted areas for improvement in education and training but also exemplified how AI can be utilized to inform policy and strategic decisions in workforce development.
Our innovative approach to assessing the AI skills gap offers several important advantages:
Agility: Advanced AI research technologies can automate data collection and the analysis of job adverts and course descriptions, making skills mapping much faster.
Scalability: Our approach is not limited to AI. It can be effectively applied in other high-priority sectors such as green energy, cybersecurity and the creative industry.
Repeatability: This methodology can be replicated frequently and consistently, allowing real-time tracking of skills shortages.
See the full article here or contact us at info@glass.ai for more information.