Adapting Engineering Education for the Future: Exploring Generative AI Applications and Employer Expectations

As artificial intelligence (AI) drives innovation, creates career opportunities, and shifts required skills across industries, it also brings challenges, particularly in aligning educational programs with industry demands. This study explores how generative AI technologies are currently being applied in organizations and the use of generative AI within the engineering industry. Using a cross-sectional research design adapted from the Technology Acceptance Model (TAM), the study aims to explore employer’s perspectives on the importance and impact of generative AI on the future of engineering practice and the competencies employers expect from engineering graduates. Employers’ data was collected through a comprehensive online survey. The survey assesses stakeholders’ perceptions of generative AI’s utility, ease of use, and their behavioral intentions and actual use. By examining generative AI applications and employer expectations, the study offers valuable insights into the skills engineering graduates will need in a technology-driven workforce. The findings are expected to guide curriculum adjustments, ensuring that engineering programs produce graduates equipped to meet the demands of a rapidly changing technological landscape. This research aims to bridge gaps between academic preparation and industry needs, reinforcing the importance of generative AI in fostering a workforce prepared for innovative roles in engineering. The insights gained will shape engineering education strategies that align with industry trends, positioning future professionals to excel in AI-enhanced work environments and make significant contributions to engineering.