McKinsey says artificial intelligence (AI) adoption (globally) increased dramatically in 2024 after years of little meaningful change. Marketsandmarkets forecasts the AI market to reach US$407 billion by 2027, experiencing substantial growth from its estimated US$86.9 billion revenue in 2022. A Forbes Advisory survey reveals that 64% of businesses believe that AI will help increase their overall productivity. Now its all well and good to try out a technology and get it to work in a department or business unit. But scaling it so that a large percentage of your workforce can use the technology effectively and efficiently is another story.

Scaling AI in the workforce involves integrating artificial intelligence technologies to enhance productivity, streamline processes, and create new job roles while addressing potential challenges related to human experience, trust, and job displacement.

In this PodChats for FutureCIO, Ricky Kapur, head of APAC for Zoom, shares his views on how CIOs can lead their organisations as they scale AI in the workforce.

1.       In Asia, how do you see enterprises, led by the CIO, are arming their workforce with AI-assisted tools to improve productivity and well-being?

2.       What strategies can organizations use to ensure AI integration does not undermine trust and empathy in the workplace?

3.       How can businesses address the potential for AI to perpetuate systemic bias in the workforce?

4.       What are some effective methods for fostering a culture of learning when introducing AI tools?

5.       How can companies ensure data privacy while using AI-driven feedback loops for workforce insights?

6.       How can companies balance the benefits of AI with the need to maintain human connections?

7.       Our topic is scaling AI in the workplace. Can you cite a couple of best practices for ensuring properly scaling their AI initiatives? Any pitfalls to avoid?