The Future of the Engineering Community: Equity, AI, and Real Connection

Engineers are spending less time on boilerplate and more time reviewing, integrating and validating AI-generated code. They can reduce the amount of work required and increase the speed for meeting common incentives for academic promotion and merit by producing as many research products (manuscripts, books, reports, grant proposals) as possible (Kwon, 2025). Researchers’ mission is to advance, innovate, and engage deeply in important problems; not report the median mediocrity and “torrential outpouring of unchecked, but convincing-sounding ‘information’” (Guest et al., 2025) of what is found on the Internet. We need to decide if the role of an academic is to produce a lot or to produce credible, innovative, and creative scholarship. If you’ve ever wondered how to grow both your professional equity and your impact, Angelie’s story is a blueprint for doing both with clarity and care. Angelie Vincent has spent more than two decades in aerospace engineering, but her real legacy might be the communities she’s built along the way.

The Evolving Role of Software Engineers

As we delve deeper, you’ll see how this tool can unlock new possibilities while challenging us to rethink the way we approach productivity and innovation. It’s easier to assess the impact of generative AI on individual skills than on entire jobs. For certain skills, including driving vehicles, construction skills and veterinary skills, It’s fairly useless. For others, like accounting skills, legal tasks and software development, it’s great. The ChatGPT Agent offers unparalleled convenience, empowering you to tackle complex tasks with greater efficiency and precision. Its integration of advanced tools into a single platform makes it a powerful resource for professionals and organizations alike.

The Future of the Engineering Community: Equity, AI, and Real Connection

• On the one hand, those in the 20 percent of jobs that are highly likely to be transformed by generative AI are in a position of privilege.
• Information engineers play a pivotal role in developing sophisticated algorithms and ensuring that AI technologies align with societal values.
• Before the rise of high-end graphics and user interfaces, most science and engineering students saw little need to study visual art and product design.
• Hosted by Jason Winningham, each episode unpacks the journey of professionals who’ve raised their PQ by intentionally growing and sharing their equity.
• The cybersecurity functions vary from cybersecurity governance to design and development, threat management, operations, analysis and investigation.

This intersectional expertise enhances both client trust and legal efficacy,” he added. At the same time, adversaries will use AI to make the profession more demanding. Action needs to be taken today to educate and upskill cybersecurity professionals and have the cybersecurity community start thinking about the future of the profession.

OpenAI has also announced plans to phase out the operator tool, replacing it with standalone features like deep research, which will further enhance the agent’s functionality and usability. Engineers in this field are adept at integrating software and hardware components, ensuring that AI systems function effectively within complex, interconnected environments. They are also responsible for optimizing the performance and efficiency of these models.

There is a need for cybersecurity professionals to understand the business context of the ecosystem they’re trying to protect in order for them to be targeted and relevant when applying or embedding cybersecurity. There is also a need to understand adjacent domains like audit, privacy, risk, and digital technology governance and management to ensure cybersecurity is integrated to the needs of those domains and not siloed. These are critical initiatives, as the cybersecurity profession may be considered as one. Cybersecurity expertise is critical per function, but looking into cybersecurity in a silo is causing many of the failures we see today. The most successful engineering teams are not those that automate everything but those that learn how to combine human insight with machine efficiency.

It’s also vital to make sure that aspects of human behavior that are critical to day-to-day well-being are not augmented out of society. A doctor’s ability to alleviate anxiety with their bedside manner is an important part of the healing process, for example. This could be lost if elements of the work that seem routine – like communicating non-urgent updates on how a patient is recovering – are delegated to AI.

AI provides an unmatched ability to identify threats and patterns, automate real-time responses, swiftly process entire datasets and speed up recovery operations. The next generation of cybersecurity professionals will need to prepare for a future in which the threat landscape will be more sophisticated, but thanks to AI, there also will be more robust tools to leverage to keep their organizations secure. The role of software engineers is undergoing a significant transformation rather than a decline.

The adoption of AI in software development mirrors the fantastic impact of spreadsheets on accounting. Before the advent of tools like Microsoft Excel, accounting was a labor-intensive, manual process. Spreadsheets transformed the field, allowing accountants to work more efficiently and focus on high-value tasks such as financial analysis and strategic planning. Angelie Vincent is an AI Integration Engineer at Boeing with more than two decades of experience in the aerospace industry. Starting her career on the military side at Boeing Wichita before transitioning to Spirit AeroSystems, Vincent has since returned to Boeing to support the commercial division.