Emad Mostak, the founder and CEO of Stability AI, predicts that the programmer's profession will become obsolete within five years, thanks to advancements in AI technology.



"We must accept AI as an inevitable part of our future. Already, 41% of code on GitHub is generated by AI, and in just six months, ChatGPT is capable of passing the exam for a mid-level programmer. In five years, the concept of programming as a profession will no longer exist," emphasizes Mostak. However, he believes that developers who are driven by a passion for exploring new technologies will still be in demand.

According to Mostak, the progress of AI will enable everyone to become a creator of products that improve people's lives while also providing an opportunity to earn income.

As for the development of AI models, Mostak envisions only a handful of industry leaders, such as Google, Microsoft, OpenAI, and his own company, taking on this responsibility. They will offer personalized AI systems to businesses and enterprises while prioritizing the security and privacy of internal information.

On the other hand, a study conducted by Stanford University in 2022 revealed that programmers using AI tools like GitHub Copilot tend to produce less secure code compared to those who work independently. Additionally, AI assistance often misleads developers about the quality of their outputs.

While it's true that AI tools are becoming increasingly sophisticated and capable of automating certain programming tasks, it's essential to consider the broader implications. From a philosophical standpoint, the potential displacement of programmers raises questions about the nature of work, the intrinsic value of human creativity, and the ethical considerations surrounding the integration of AI in the workforce.

We must also contemplate the profound societal and economic shifts that would accompany the widespread adoption of AI tools in programming. What does it mean for human identity and fulfillment if a significant portion of the population faces technological unemployment? How do we ensure equitable access to opportunities and resources in a rapidly changing job market?

Moreover, the advent of AI tools in programming challenges us to reevaluate the meaning of expertise and specialization. If routine coding tasks become automated, what new skills and capacities will programmers need to develop to remain competitive and fulfilled in their work?
The potential impact of AI tools on programmer careers invites us to engage in profound philosophical inquiries about the nature of work, the evolution of human labor, and the ethical responsibilities that come with deploying advanced technologies. It underscores the importance of considering the humanistic dimensions of technological progress and advocating for ethical frameworks that prioritize the well-being and dignity of individuals in the face of digital disruption.

AI's current capabilities are overhyped; it struggles with complex, nuanced tasks and security. Stanford's study on GitHub Copilot shows AI-assisted code is less secure, misleading developers about output quality. Moreover, AI models are black boxes, hindering explainability and debugging.