Scott asserts that while AI will not replace software engineers, it will significantly transform their roles and responsibilities.

The industry remains divided on AI's impact, with IBM CEO Arvind Krishna suggesting that AI will enhance productivity but will only handle 20 to 30 percent of coding tasks, highlighting the ongoing need for human programmers.

Microsoft CTO Kevin Scott predicts that by 2030, 95 percent of programming code will be generated by AI, indicating a major shift in software development.

Despite the rise of AI in coding, Scott emphasizes that human authorship will remain essential in the software engineering process.

AI tools are expected to empower smaller teams to manage larger-scale software projects more effectively, allowing developers to focus on higher-level tasks such as design and problem-solving.

The transition from manual coding to utilizing AI as 'prompt masters' allows developers to guide AI in producing code based on their specific instructions.

Scott aligns with other tech leaders in believing that AI-assisted coding will enable small teams to achieve the output of much larger teams, thereby enhancing efficiency.

He believes that AI will lower the barrier to entry for coding, making it more accessible to non-programmers, although complex problems will still require skilled computer scientists.

Scott acknowledges current limitations of AI, particularly in memory retention and personalization, describing AI systems as 'awfully transactional' but anticipates improvements in the near future.

Anthropic CEO Dario Amodei shares a similar perspective, predicting that AI could generate up to 90 percent of code within six months, underscoring the rapid advancement of these technologies.

Scott is optimistic that future AI tools will improve in providing personalized assistance by learning from past interactions.

He highlights that motivated, skilled teams equipped with powerful AI tools can achieve significant results.