The rise of artificial intelligence is reigniting an age-old debate about the future of engineering jobs, particularly among students and their parents. In a recent podcast, educator Khan Sir discussed the implications of AI on employment with entrepreneur Raj Shamani, addressing concerns about whether a career in engineering remains viable amid the automation of tasks such as coding and data analysis.
Khan Sir noted that fears of job loss due to technological advancements are not new. He drew parallels to the introduction of computers in India during the mid-1980s, a time when many believed that machines would render numerous jobs obsolete. “The same discussion happened in 1985,” he said. “People said, ‘Oh no, a computer can do the work of ten people alone.'” Over the years, rather than eliminating jobs, computers have transformed the workforce, creating roles that had not previously existed. Khan Sir suggested that a similar trend is likely with the increasing adoption of AI technologies.
According to Khan Sir, the nature of work is evolving, rather than disappearing. “A person does not work alone anymore. They work along with computers… and in the coming time, people will work along with AI,” he explained. While engineering, particularly in the IT sector, may face disruption, it will also lead to the emergence of new roles that currently do not exist. This evolution highlights the necessity for engineers to adapt rather than abandon their field.
Despite acknowledging that the transition phase may feel uncertain, Khan Sir pointed out that some jobs may indeed be lost in the short term. However, he also emphasized that new opportunities will arise within the AI landscape itself. “Right now, new kinds of code will be built for AI. There will even be a ‘super AI’ that controls other AI systems,” he stated, suggesting a significant shift in skill demand.
To illustrate his perspective, Khan Sir offered a simple analogy: “People have not stopped washing their faces. It’s just that instead of soap, facewash has come in.” This comparison underscores that while the core needs of engineering will remain, the methods and tools will change. As a result, engineering roles may not vanish but will instead evolve to embrace new technologies.
In the healthcare sector, where AI is increasingly deployed, Khan Sir pointed out that while AI assists doctors in diagnostic tasks, it does not replace them. “Ultimately, the decision will remain with humans,” he noted, explaining that AI tools can identify complex patterns, such as blood supply in a tumor, but the final authority rests with medical professionals. This scenario suggests that engineering roles related to AI technologies in healthcare may gain further importance.
For students contemplating a future in engineering, Khan Sir’s message is clear: rather than succumbing to fear, they should prepare for change. While AI may automate certain repetitive jobs, it will also create demand for new skills and competencies. Learning to collaborate with AI tools, rather than fearing their impact, could prove essential for future professionals.
In conclusion, engineering is not becoming irrelevant; rather, it is undergoing a transformation. As history has shown with past technological advancements, those who adapt to change are more likely to find opportunities than those who withdraw in fear. As the landscape of work continues to evolve, embracing the shift toward AI could pave the way for engineers to thrive in the future.
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