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However, securing AI talent is a significant challenge for countries across the region as demand outpaces supply. Singapore’ s Economic Development Board( EDB) is already working with industry partners to train the local workforce in AI, intending to triple Singapore’ s AI talent pool to 15,000 by 2029.
These AI positions will be crucial in bridging the gap between traditional software development and AIdriven processes. In the early stages of this transition, organisations must define team members’ roles and responsibilities. While these roles may evolve, clear expectations will help both teams and leaders.
The emergence of more specialised roles within software development will give developers an exciting opportunity to enhance their skills, take on new challenges and expand their career paths.
Continuous learning will unlock AI’ s potential
As roles evolve, it will become even more critical for engineers to continue expanding their skill sets and stay current with software development trends. The need for continuous learning is not new to the industry, but the pace of change is accelerating dramatically.
Previously, changes such as new tools, processes, or standards for speed of delivery happened every 18 months to two years; today, that cycle is less than 12 months. Technology leaders should constantly challenge their teams to think about incorporating AI into their daily work to stay ahead of this curve and regularly share their learnings with others.
There are many ways to apply AI to software development workflows, from code generation and testing to project management and documentation. Over time, engineers will better understand how to support deep learning and AI development on their teams.
Continuous upskilling, adoption, and support are critical to responsibly unlocking AI’ s potential. Upskilling developers to ensure they can use and maintain AI systems effectively is critical to AI’ s sustainable adoption and evolution. Developers at all skill levels can learn prompt engineering techniques while maintaining coding skills. Junior developers, in particular, can benefit from an always-on coding partner to learn from, helping them grow into productive, efficient team members more rapidly than ever before.
Prioritising workplace culture
Leaders play a crucial role in guiding their organisations through this AI-driven transformation. They must incorporate flexibility within their organisations and encourage trial and error when using AI. Everything from how we evaluate and motivate our teams to how we measure success will need to change.
To foster innovation, leaders must invest in tools and processes that enable their teams to experiment with AI, find new ways to use it, and create innovative products. This investment goes beyond just acquiring technology; it includes creating a culture that embraces experimentation and learning from failure.
In APAC, where AI investments are projected to increase nearly fivefold from US $ 25 billion in 2022 to
76 INTELLIGENTCIO APAC www. intelligentcio. com