Here's how you can navigate the impact of automation and artificial intelligence on Electronic Engineering.

AI plays a part in advancing automation to its next level as it will augment the way Electronics Engineers should think about their design process. This isn't the first time this has happened, this field has continuously evolved and adapted to optimize the relationship between mechanization efficiency and human ingenuity. The age old concept of specializing and focusing human attention on value added novel tasks applies now just as much as it always has, only now with AI it can be taken to the extreme. AI can be designed to offload simple thought processes for the first time, but mainly for similar and repetitive tasks. AI will help Electronics Engineers to focus more effort on meaningful work, the same as all machines have always done.

I do believe in the disruptive force of AI But, building a strong hands on experience to is now more than ever important. So

The application of AI can significantly improve operational-efficiency of Electronic Engineering (EE). There are cases where subject matter experts (SME) have observed more than 50% improvement in the time-to-result (T2R) achieved through AI. However, such improvement in T2R can only be realized if SME and their AI technology partners work in collaboration. SMEs shall allocate at least 10% of their bandwidth for such collaboration initially to gain >50% T2R in future. Automation is considered as a primitive skill in the world of EE. For example, it is literally impossible for an EESME to layout a 30billion transistor integrated circuit without Automation. So, Automation it is not something that an EESME would boast about today.

I would simply say giving to lifelong learning is indeed crucial for electronic engineers in the AI and automation revolution. Nevertheless, this poses more question as AI and Automation is so broad. What specific AI and data science skills are most in demand for electronic engineers? How can engineers determine which skills to prioritize based on their career goals? I would recommend employees to take, online courses, bootcamps, or university programs, however, which is best? How can engineers balance work, personal life, and learning? Hands-on projects and practical application can also help. Finally, organizations should foster a culture of continuous learning, and explore a system of mentorship and knowledge sharing.

Stay current with emerging technologies by taking relevant courses and earning certifications. Engage in continuous learning to understand how AI can optimize and enhance engineering processes. Collaborate with peers and industry experts to share knowledge and insights, ensuring you remain adaptable and proficient in this evolving landscape.

The world will no more be the same, and with new skill coming out everyday it is very important to but grade. Not only in places we are good at but also in new areas

Every engineer must reinvest in themselves, otherwise you will self manage your way out of work. Constantly seek written work or authors in subject matter expert domains.

This is one thing to keep in mind for those concerned about their careers and technological shifts - this is nothing new. Every technological age in human history has seen a drastic closing of roles and adoption of new roles/trades. Gatherers in hunter and gatherer tribes became farmers, lumberjacks became lumber mill operators, so on. Ask yourself the question, "How does my current career align with the predictions of careers in the future?" and start making those 1 degree shifts today to steer you towards success.

Collaboration is key in a landscape increasingly dominated by interdisciplinary projects. You should seek opportunities to work with professionals who specialize in AI and automation. These collaborations can provide valuable insights into how these technologies can be applied in electronic engineering. By working together, you can develop integrated solutions that leverage the strengths of both fields. This synergy not only enhances your own projects but also expands your professional network and opens up new career paths.

Focus on ways to save power to enable more on-device ML inference. And come up with innovative compute architecture to reduce latency of memory operations

While automation and AI can handle many tasks, creativity remains a uniquely human trait. As an electronic engineer, focusing on creative problem-solving and innovation is essential. Use automation as a tool to eliminate repetitive tasks, freeing up time for you to tackle more complex engineering challenges