Former Google chief executive Eric Schmidt has cautioned that rapid advances in artificial intelligence could significantly disrupt traditional software development roles, particularly coding jobs, as AI systems become more capable of writing and managing code. His remarks reflect a broader debate unfolding across the global technology sector about how automation and generative AI tools are reshaping the nature of work.
Schmidt, who led Google during its formative years of global expansion, spoke about the pace at which AI systems are learning to perform tasks once considered the exclusive domain of highly trained engineers. According to him, the idea that coding is a permanently safe profession is increasingly being challenged as AI models demonstrate the ability to generate, debug and optimise code with growing accuracy. He suggested that software development, long viewed as a future proof career, may soon face the same pressures that automation has already brought to other industries.
The comments come at a time when generative AI tools are being rapidly adopted across technology companies, startups and enterprises. Large language models are now commonly used to write code snippets, suggest fixes, refactor legacy systems and even build basic applications. For many developers, these tools promise faster workflows and reduced manual effort. For others, they raise concerns about job security and the long term demand for entry level coding roles.
Schmidt acknowledged that AI driven coding tools are not yet fully autonomous and still require human oversight. However, he argued that the trajectory is clear. As models improve through training on vast amounts of data and real world usage, their ability to handle increasingly complex programming tasks is expected to grow. This, he noted, could reduce the number of engineers required for certain types of software development work, particularly routine or repetitive tasks.
At the same time, Schmidt emphasised that technological disruption does not necessarily mean the disappearance of all programming jobs. Instead, he suggested that the role of software engineers is likely to evolve. Developers may spend less time writing basic code and more time defining system architecture, solving higher level problems, ensuring security and ethics, and integrating AI generated outputs into real world products. In this context, AI could function as a powerful assistant rather than a complete replacement.
The former Google CEO’s remarks echo similar warnings from other technology leaders who have highlighted both the promise and the risks of AI adoption. Across the industry, executives are grappling with how to balance productivity gains with workforce implications. Companies are under pressure to remain competitive by adopting AI tools, while also addressing concerns from employees about reskilling and job displacement.
Schmidt also pointed to the broader economic implications of AI driven automation. He noted that productivity gains from AI could be substantial, potentially reshaping how value is created across industries. However, he cautioned that societies and governments need to prepare for the transition by investing in education, training and policies that support workers whose roles may change or diminish. Without such measures, the benefits of AI could be unevenly distributed.
In the software industry, this transition is already visible. Many organisations are experimenting with AI assisted development platforms to accelerate product cycles and reduce costs. Startups are emerging with smaller engineering teams but higher output, relying heavily on AI tools for coding and testing. This shift has prompted questions about how engineering teams will be structured in the future and what skills will be most in demand.
For India, which has built a large part of its technology and services economy around software development talent, the implications are particularly significant. The country produces a vast number of engineering graduates each year, many of whom enter roles focused on coding and maintenance. As AI tools become more capable, industry observers suggest that Indian tech professionals may need to focus more on system design, domain expertise, product thinking and AI oversight to remain competitive in the global market.
Despite his stark warning, Schmidt did not portray AI as an inherently negative force. He described it as a transformative technology that, if managed well, could unlock new forms of innovation and economic growth. He stressed the importance of aligning technological progress with human values and societal needs, especially as AI systems become more embedded in everyday work.
His remarks add to the growing conversation about the future of work in the age of AI. While fears about job losses dominate many discussions, there is also recognition that new roles and opportunities may emerge. The challenge, according to Schmidt and other industry leaders, lies in managing the transition responsibly and ensuring that workers are equipped to adapt.
As AI continues to advance at a rapid pace, debates around automation, employment and skills are expected to intensify. Schmidt’s comments serve as a reminder that even professions once seen as secure are not immune to technological change. For policymakers, educators and businesses, the task ahead will be to navigate this shift in a way that balances innovation with inclusion and long term workforce resilience.