What You’ll Learn

• How are artificial intelligence and machine learning (AI/ML) affecting engineers?
• What engineers think about AI/ML.
• Does AI/ML have an impact on new designs?

A number of questions in the annual salary survey focused on the impact of artificial intelligence and machine learning (AI/ML) on engineers and their perceptions of this technology.

To start with, the survey asked how AI/ML is affecting job roles in engineering. The *largest number of respondents* are still evaluating AI/ML technologies, while a notable fraction is not involved with it at all. Only a few utilize it in their products currently, though more engineers are integrating the technology into their development processes.

Understanding AI/ML Tools

One of the challenges encountered is defining the existing AI/ML tools and frameworks and understanding their practical applications. Many generative AI tools, such as ChatGPT, are still evolving and can be difficult to assess.

Successful uses of AI/ML often arise from models based on established technologies like convolutional neural networks (CNNs) and frameworks like TensorFlow, which offer proven performance and necessary support infrastructure. These systems typically face fewer issues compared to large language models that might lead to unintended outputs.

Engineers’ Perceptions of AI/ML

The survey revealed a mix of sentiments regarding AI/ML among engineers, as documented in the study. Some view it as a competitive advantage, while many feel that regulation is necessary for its application. Interestingly, only a small percentage have encountered problems using AI tools, but many remain hesitant to incorporate machine learning in their workflows.

The Scope of AI/ML in Practice

Responses varied greatly when engineers were asked about their use of AI/ML. About a third avoid utilizing any AI tools as of now, while another third makes use of AI via search engines. This is increasingly common given that many search engines implement generative AI by default.

Some engineers leverage tools to create text, images, and software, though limited detail was provided regarding the quality of these outputs. Future surveys aim to gather deeper insights into practical applications of these tools.

AI/ML’s Impact on Engineering

Currently, AI/ML ranks low in technologies significantly impacting engineers and designers, which aligns with earlier survey findings. However, the number of responses indicating AI/ML’s impact has slightly increased compared to last year.

Despite incorporating AI/ML into tools, a survey found that it does not significantly deter engineers from their profession, suggesting that these technologies will complement rather than replace the engineering workforce.