In a world driven by economics and automation, concerns about artificial intelligence (AI) replacing human workers are on the rise. However, many experts argue that instead of taking jobs away, AI is actually revolutionizing the way we work, unlocking human potential, and driving innovation and productivity. This shift is particularly relevant in the field of engineering, where it is essential to identify roles that are susceptible to AI and automation, as well as those that are resilient to change. In this article, we will explore the impact of AI on the engineering industry and related disciplines.
Initially, there was an expectation that robots would replace low-skilled labor, especially in monotonous and dangerous tasks on factory floors. However, the reality is that human labor remains more cost-effective in most cases compared to the investment required for purchasing and programming robots. The cost of training is also significant, as traditional robots need to be re-trained every time a process is changed. It is only in large-scale production, such as smartphone assembly, that robotics has become practical due to the high volume. However, recent advancements in robotics systems, incorporating computer vision and AI, have the potential to revolutionize automation. With the ability to train themselves and understand generic commands in natural language, these robots can greatly increase automation capabilities.
Copywriting, which plays a crucial role in conveying official information and engaging potential customers, has also been impacted by AI. While AI cannot completely replace copywriters, it can empower engineers with specialized knowledge to write compelling articles without the need for additional personnel. However, AI may struggle to replicate the importance of high taste and the quality of the text, which are crucial factors in copywriting. Nonetheless, the significance of specific knowledge in particular domains is beginning to emerge.
In the realm of design, there is a stark contrast between graphic designers, who readily adopt AI technology, and industrial designers, who still rely on manual processes. However, this does not mean that industrial designers should shy away from the power of AI. For example, AI can be used to generate multiple product concepts quickly, providing valuable insights. It can also help generate a broader range of product sketches, facilitating the exploration of design possibilities. While AI-generated product renders may not be perfect or account for manufacturing limitations, continuous refinement through iterative prompts is feasible. While generative AI can aid less skilled designers and expedite the design process, high-end professionals still rely on their own processes and creativity.
The discussion around whether AI can replace large software engineering staff is a hot topic in Silicon Valley. While AI tools can assist website designers in creating great-looking web pages with simple prompts, programmers specializing in more advanced systems still hold significant value. The 80/20 rule suggests that some key members, even before the advent of AI, already created the most value. With AI, these 10x engineers can potentially drive even greater value by writing exponentially more lines of code. However, it is important to note that AI’s impact on software engineering jobs depends on the specific context.
When it comes to electrical engineering and physical product development, AI still has limitations. While it can augment and expedite certain aspects of the development process, the overall design of new products remains outside the capabilities of AI. AI can assist in generating diagrams outlining major components, compiling lists of manufacturers, and performing calculations and problem-solving tasks. However, the integration of electronics and mechanics, as well as the nuanced aspects of developing mechanical devices, still heavily relies on the expertise of skilled engineers.
In conclusion, while AI is transforming various industries, it is far from being able to fully replace highly skilled engineers. Creativity, effective communication, and the ability to devise innovative solutions are qualities that remain valuable and irreplaceable. While AI can enhance certain aspects of work, it is unlikely to overshadow the expertise and capabilities of skilled specialists. As our world evolves, technology will continue to play a significant role, but the human touch will always bring unique value to the table.
