More Creation Than Contraction
The latest 'Asia Pacific Workplace Insights' report from Colliers brings a dose of reality to the AI discussion. Surveying corporate occupiers across 11 APAC markets, including India, the findings are clear. While 85% of companies expect AI to boost productivity,
and potentially lead to fewer traditional roles, a full 100% of respondents expect AI to create new, specialised jobs that require different skills. In India, this shift is viewed primarily through a human capital lens. Companies are prioritising new skills and collaboration models over simple footprint reduction, seeing the office as a critical hub for the high-value knowledge exchange that AI cannot replicate. The report underscores a crucial point: the biggest risk isn't AI itself, but failing to plan for its impact on the workforce.
The AI Implementation Strategist
One of the key emerging roles is the AI Implementation Strategist. Think of this person as the bridge between a company's business goals and its technological capabilities. An AI strategist is responsible for identifying opportunities where AI can improve processes, boost efficiency, or create new services. They devise the roadmap for integrating AI solutions across departments, ensuring these projects align with broader business objectives and deliver a real return on investment. This role requires a blend of technical understanding and sharp commercial judgment, making it crucial for any company looking to move from simply experimenting with AI to deploying it for strategic advantage.
The AI Ethics Officer
As AI becomes more powerful, the need for governance grows. This has given rise to the AI Ethics Officer, a role dedicated to ensuring that AI systems are developed and used responsibly. This professional is tasked with creating guidelines around fairness, transparency, and accountability in AI. They assess projects for potential ethical risks, such as inherent bias in algorithms or data privacy concerns, and work to mitigate them. The role involves developing policies, training teams on ethical best practices, and serving as the organisation's conscience to ensure that technological innovation aligns with human values and societal norms.
The AI Trainer and Data Curator
AI models are not born smart; they have to be taught. This is where AI Trainers and Data Curators come in. These roles are essential for the 'human-in-the-loop' processes that fine tune AI systems. An AI Trainer provides expert human feedback to improve a model's performance, guiding it to produce more accurate and relevant outputs. A Data Curator, meanwhile, is responsible for managing and preparing the vast datasets that AI models learn from. They ensure the 'fuel' for the AI is clean, high quality, and properly labelled, which is critical for preventing bias and ensuring reliable performance. These semi technical roles are growing rapidly as organisations realise the quality of their AI is directly tied to the quality of the human oversight and data they provide.
The AI Adoption Lead
Developing an AI tool is one thing; getting an entire organisation to use it effectively is another challenge altogether. The AI Adoption Lead, also known as an AI Transformation or Enablement Lead, focuses on exactly this. These professionals come from backgrounds in project management, education, or change management and are responsible for redesigning workflows, training teams, and driving the adoption of new AI tools. Their goal is to ensure that the investment in AI technology translates into real world productivity gains by helping employees integrate these new systems into their daily work. This role is less about coding and more about people, communication, and process engineering.
