Nisha Verma is a veteran HR executive whose career has spanned continents, from the fast-paced tech hubs of the Asia-Pacific to the complex markets of the U.K. and Middle East. Currently leading as the Chief People Officer for Avanade, she navigates the high-stakes intersection of human talent and cutting-edge technology. Our conversation delves into the “AI dilemma”—the disconnect between the high-speed demands for financial returns and the slow reality of technical implementation—while exploring why a human-centric approach is the only way to move from a pilot program to a permanent profit driver. Throughout this discussion, we explore the necessity of a unified strategy, the technical hurdles of legacy modernization, and the vital role of socio-emotional support in the modern workplace.
Many leaders anticipate seeing a fourfold return on AI investments within a year, yet nearly half of those initiatives are stalled in the proof-of-concept phase. How can organizations break through this stalemate?
The pressure for immediate results is palpable, with 57% of business and government leaders expecting a 4x return on their AI investments in under 12 months. However, that enthusiasm often hits a wall because 41% of organizations are stuck at the proof-of-concept stage, essentially running experiments without a clear path to scale. To break through, leaders must shift from a mindset of experimentation to one of integration by building a robust business case from the very beginning. This means starting small with pilots that have clear, measurable impact and then using those wins to secure the resources needed for a full-scale rollout. We often find that when an organization partners with experts who understand the bridge between technical capability and employee enablement, they can finally move past the “trial” phase and start seeing the real-world value they crave.
With only 30% of organizations developing a visionary AI strategy, why is having a “North Star” so critical for long-term success?
Without a visionary strategy, AI adoption becomes fragmented and chaotic, which is exactly why we see 75% of organizations implementing these tools in isolated functions rather than as a cohesive whole. A “North Star” strategy provides the necessary clarity to ensure that every AI initiative, whether it is a copilot or an automated agent, aligns with the long-term goals of the company. This strategic alignment helps maximize existing investments in cloud, data, and security, creating a seamless framework rather than a collection of digital silos. For HR professionals, this strategy is the foundation for workforce readiness; it ensures that we are not just throwing tools at people, but moving the entire culture toward a shared technological future. It is about understanding the “why” behind the innovation, which ultimately prevents the skills gaps and missed opportunities that come with a disjointed approach.
The data shows that 98% of organizations are accelerating legacy modernization to prepare for AI. How does this massive technical shift impact the human side of the business?
The rush to modernize is intense, with 98% of leaders expediting legacy updates and 97% pushing for faster cloud adoption to support AI’s heavy data demands. From an HR perspective, this means the environment our employees work in is shifting beneath their feet almost overnight. We have to recognize that 96% of organizations see data security as a major reputational risk, and that anxiety trickles down to the staff who are handling sensitive information daily. As we modernize the “pipes” of the organization, we must also modernize the skills of the people using them, ensuring they feel secure and competent in this new infrastructure. It is a massive undertaking that requires us to balance the cold efficiency of cloud migration with the very human need for stability and clear communication.
Upskilling is a frequent talking point, but what specific actions are necessary to ensure that employees feel empowered rather than displaced by AI?
Successful AI adoption is 10% technology and 90% people, which is why we see 98% of organizations prioritizing workforce upskilling and creating new roles to offset potential displacement. True empowerment happens when AI fluency is woven into the very fabric of the corporate culture, addressing the socio-emotional fears that come with change. We are seeing 84% of organizations emphasize change management because they realize that an employee who understands how a tool like Microsoft 365 Copilot works is far more likely to be productive than one who fears it will replace them. It involves increasing investments in training—something 81% of companies are already doing—to ensure that the workforce is not just equipped with new software, but also with the confidence to use it creatively. By focusing on these human elements, we turn a period of potential disruption into a meaningful cultural shift that benefits everyone.
There is a significant fear among 81% of leaders that they will lose their competitive edge if they don’t move fast enough. How do you balance this urgency with the risk of creating a digital divide between AI-enabled and non-enabled employees?
The urgency is real, but moving too fast without considering the internal divisions can be catastrophic for company morale and productivity. HR leaders must be vigilant about how AI is rolled out to ensure we don’t create a “two-tier” workforce where only certain roles or departments reap the benefits of these tools. This requires a balanced approach where bold technical action is tempered by a thoughtful strategy that considers which roles are affected by generative AI and what support they need. We must proactively address potential divisions by ensuring that the “why” behind AI adoption is communicated clearly to every single person in the building. If we don’t bridge this gap, the competitive edge we gain through technology will be undermined by a fragmented and disengaged workforce.
What is your forecast for AI in the workplace?
I believe we are moving toward a future where the distinction between “digital work” and “human work” will blur, as AI becomes an invisible but essential collaborator in every department. We will see a shift where the “proof of concept” phase becomes much shorter as organizations stop viewing AI as a standalone project and start seeing it as the primary engine for revenue growth. However, the companies that will truly dominate the next decade are not just those with the best algorithms, but those that have achieved 100% AI fluency across their entire staff. We will likely see a massive rise in new role categories that we haven’t even named yet, specifically designed to manage the synergy between human creativity and machine efficiency. Ultimately, the workplace will become more personalized and data-driven, but its success will remain entirely dependent on the emotional intelligence and strategic vision of the people leading it.
