The rise of AI is transforming the engineering profession. Advancements in generative AI (GenAI) now enables creative design, idea generation, and optimization. Engineers are using these systems to develop and test solutions faster than ever. As this landscape evolves, engineers must gain the skills and awareness to harness AI’s benefits while managing its risks.
To address this need, Engineers Australia commissioned research to explore AI’s impact on engineering. Results – soon to be released to members – will focus on three areas: how AI is changing engineering roles, workforce development implications, and Engineers Australia’s role in supporting the profession through these changes.
The research highlights the evolving nature of engineering responsibilities as AI becomes integral to daily operations. Understanding tools like GenAI can enhance engineers’ work, but identifying and addressing skills gaps is crucial to staying relevant in an AI-driven world. Additionally, Engineers Australia is examining its own role in guiding engineers through this shift.
Initial findings show over 70% of engineers believe AI proficiency will soon be essential, but significant gaps in understanding remain, especially regarding AI’s limitations. Over-reliance on AI without recognising its risks could lead to inefficiencies, mistakes, or safety issues. This highlights the importance of education and training to ensure engineers use AI responsibly.
Engineers who embrace AI tools will drive future innovation but must also address ethical and societal considerations. Issues like transparency, accountability, and safety must be managed to apply AI responsibly. Findings from the research highlight the need for strong frameworks to safeguard the profession from risks.
A challenge lies in uneven AI adoption. Younger engineers, especially those under 25, are more likely to embrace AI but often lack experience to assess its implications. Older engineers, while slower to adopt new technologies, bring valuable skills and lived experience to manage risks effectively.
Currently, around 80% of engineers learn about AI through self-directed study. A more structured approach is needed to provide the training and support engineers require. Clear communication, a culture that embraces innovation, and proper guardrails will boost confidence and ensure effective AI use.
By adopting these principles, engineers and businesses can navigate an AI-driven future with greater skill and certainty.
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