Companies Slow to Implement AI, Experts Push for Human-Centric Approach

Breaking News: Experts Urge Companies to Adopt Human-Centric Approach to AI Implementation Companies are still in the early stages of scaling AI across their workplaces, with roughly two-thirds of organizations still experimenting with AI and yet to implement it more widely, according to a 2025 report by McKinsey Company. To effectively integrate AI in the workplace, industry experts emphasize the need for a human-centric approach, which involves investing not just in technology but also in upskilling employees. Industry leaders, including Rowena Yeo, CTO and VP of technology services at Johnson & Johnson, and Gastón Carrión, managing director and APAC lead of talent and organization for Accenture, recently discussed the importance of AI literacy and adoption at a November 13 Fortune dialogue on generative AI at work. Yeo stressed that exposing organizations to what AI can do requires AI literacy, while Carrión noted that companies are not investing enough in transitioning employees from AI fluency to adoption. According to Carrión, for every dollar spent on technology, companies should allocate three more on people to help them transition into the future. This emphasis on human-centricity is crucial as companies seek to move from experimentation to implementation. The immediate impact of this approach will be seen in improved employee skills, increased productivity, and better decision-making. The need for a human-centric approach to AI implementation is rooted in the fact that AI tools are only as effective as the people using them. Without proper training and upskilling, employees may struggle to leverage AI to its full potential, leading to suboptimal results. By investing in AI literacy and adoption, companies can unlock the full potential of AI and drive business success. As companies continue to navigate the complex landscape of AI implementation, they must prioritize the development of their human capital. This involves not only upskilling employees but also creating a culture that encourages experimentation, innovation, and collaboration. By doing so, companies can stay ahead of the curve and reap the benefits of AI-driven growth and transformation.