AI at Work from Productivity Hacks to Organizational Transformation 2026

as a society, at producing powerful technologies. We are much less good at translating those technologies into broad-based productivity growth, higher wages and shared prosperity. That translation challenge is one of the reasons I helped start Workhelix. Our focus is to help companies identify specific workflows where AI can augment workers, boost measurable performance and create durable competitive advantage – not just cut short-term labour costs. The goal is empowerment, not hollowing out. It is also why skills are now the strategic currency of the firm. In my role co-chairing the World Economic Forum’s Future of Jobs efforts, we have emphasized that organizations cannot treat skills development as an afterthought or an HR talking point. It is core infrastructure. The firms that will lead in the AI era are those that build systems for continuous reskilling, internal mobility and human–AI collaboration. They recognize that the half-life of many technical skills is shrinking, but the value of adaptability, judgement and domain expertise is rising.Finally, we cannot navigate what we cannot measure. One of the reasons why data from payroll platform ADP and other high-frequency sources is so important is that they let us move beyond static, backward-looking averages. They let us see, almost in real time, where employment is tightening, where opportunity is expanding, and where pressure is building. That kind of visibility is essential for responsible leadership. It allows us to respond early, not after the damage is done. The story of AI and work is not prewritten. We can choose an outcome in which AI amplifies human capability, accelerates learning, improves service quality, raises productivity and supports broadly shared prosperity. Or we can choose an outcome in which AI quietly erodes access to economic opportunity and concentrates gains narrowly. The companies represented in this paper are showing us, right now, what both paths look like. Our responsibility – as executives, policy-makers and researchers – is to scale the path that creates more value for more people. The world is moving rapidly from theoretical debates about artificial intelligence to the lived reality of its impact on work. Today, organizations are no longer asking “if” AI will change how work gets done; they are experiencing at first hand how it is reshaping roles, workflows and the very fabric of their enterprises. This paper captures a unique front-line perspective from leaders across the sector who are not only developing the technology but also experimenting, learning and adapting their own workforces to an AI-augmented reality. Our experience, and those of our colleagues who contributed to this paper, shows that the promise of AI is not about replacing people with machines. Instead, it is about reimagining how human and digital capabilities work together. The examples highlighted here demonstrate that success in realizing AI’s full potential demands a fundamental redesign of workflows, a commitment to reskilling people and a deep focus on embedding trust and governance into every layer of the organization. As members of the World Economic Forum’s C&T Strategy Officers community, we are united by optimism about AI’s potential, but also by realism about the complexity of putting it into practice. We recognize that workers across industries are understandably anxious about what AI means for their jobs and futures. Therefore, as tech leaders, we have a responsibility to ensure this transition is inclusive, human-centred, and focused on creating meaningful, fulfilling work. Our technology development and deployment must go hand in hand with investing in digital skills, ethical standards and supportive organizational cultures. But the future of work is not a challenge for the C&T industry alone. It requires ongoing dialogue and partnership between business, government, academia and civil society. This paper is a contribution to that dialogue, providing a candid look at how the transformation of work is already unfolding, and what we must do to guide it wisely. What is clear from the experiences shared here is that leadership, learning and responsible innovation will determine whether AI becomes a driver of shared prosperity or division. We hope you enjoy reading this paper and find its insights valuable as you navigate the opportunities and challenges of the intelligent age.Ravi Kiran Kuchibhotla Chief Strategy Officer, Cognizant Ann Marie Lavigne Vice-President, Strategic Initiatives, Snowflake Foreword from the community AI at Work: From Productivity Hacks to Organizational Transformation 4