From AI Discovery to AI Adoption: HR and Talent Leaders Play a Major Role

Every AI journey is unique and tailored to fit an organization's initial position, situation, and goals. However, there's a common element shared by the trailblazers of widespread AI adoption, per insights from BCG. These pioneers commonly give 10% of their AI initiatives to algorithms, 20% to the fundamental data and technology infrastructure, and a predominant 70% to business and people transformation. Known as the 10/20/70 rule, it’s believed to be a best practice in your AI approach.

AI transformation also requires the mobilization of a wide range of stakeholders. It’s not surprising that chief technologists play a significant role in an organization’s AI oversight, while diligently working with other primary stakeholders.

Regardless of the use case you’re pursuing (cost reduction, speed to execution, reduced complexity, or fueled innovation), your AI initiatives may require deep business process changes; new skillsets, roles, and organizational structures; and new ways of working — all of which make your HR leaders critical stakeholders in the AI journey.

Provide input on the AI vision

Building an AI strategy inclusive of Gen AI requires a rigorous approach — from developing a business-driven vision to planning which initiatives to adopt and why. Organizations tend to develop their AI strategies primarily in collaboration with the chief analytics officer, chief data officer, chief digital officer, or their equivalent.

However, HR and talent leaders willingly provide input as you set Gen AI goals. They identify benefits and success metrics, tie your Gen AI vision to business impacts, assess and mitigate major AI risks, prioritize Gen AI initiatives, and navigate various AI adoption patterns.

Organizations typically work with their HR and talent leaders when creating a business case, thinking about what skills and investments they need to solve a specific problem. For example, HR leaders design and staff the AI cross-functional team, sketch major themes of workforce transformation, which quantify impacts, and align leadership on a change and culture narrative specific to AI.

Chief human resource officers (CHROs) and chief people officers (CPOs) at some organizations ask for ideas from their workforce as they decide to buy or build their AI applications and ensure they’re focused on the right problems.

The takeaway: Bring in your HR and people leaders early into your AI vision and roadmap development. This will ensure you have a diverse group of stakeholders who stand for various parts of your business. By involving your CPO or HR officer during the process, you will better understand and mitigate challenges associated with AI adoption, such as talent scarcity, employee resistance, and future work trends.

Drive AI talent strategy

A well-designed and robust AI talent strategy is essential for any organization to ensure it has the right talent in place to meet long-term business goals. HR and talent leaders must design the workforce of the future, transforming individual roles and skills, while rewiring the enterprise operating model.

Organizations with an AI talent strategy that evolves to keep pace with market or business needs around hiring, talent acquisition, and retention will hold a long-term AI advantage.

In a fiercely competitive AI environment, organizations must think proactively about how to attract talent. Some organizations use specialized AI recruiters, tailoring hiring processes and compensation packages to meet AI talent needs. Others ensure they articulate to AI candidates a detailed data strategy that highlights clear advancement opportunities.

HR and talent leaders understand that talent is at the heart of the AI journey for organizations. So, they work with the C-suite to ensure people are central to its AI strategy. As the adoption of AI increases, the value of skills that can’t be replicated by machines also increases. These include creativity, leadership, and emotional intelligence.

HR teams work with the business to make sure a proper mix of skills is developed by their employees. It also prepares organizations for a hybrid workforce, where AI and humans work side-by-side.

The takeaway: To capture the most value from your AI investments and stand above your competition, work with your HR and talent leaders to produce a clear and compelling AI talent strategy. It must address your approach to attract, develop, and keep your existing and potential AI talent.

Build the right AI culture

AI's transformative power is not just about the technology. It’s also the way organizations apply AI toward their unique goals. Organizational culture can accelerate the application of AI, amplify its power, and steer you away from risky outcomes. A healthy data culture and culture of innovation and agility is more crucial now.

Goldman Sachs economists predict that 300 million global jobs may be eliminated through Gen AI. This causes a lot of anxiety among workers. So, it’s essential to assess your organization's culture and readiness for change.

According to a Gallup survey, the workforce is unprepared for the coming AI transition, and most surveyed employees are skeptical of AI’s potential. Numerous studies show that the primary reason for employee reluctance toward AI is because of the time it takes to learn innovative technology. This is followed by the fear of job loss and bias in the content.

When asked about the biggest challenge they face in pursuing digital strategies, 46% of financial services executives pointed to the cultural and behavior change, according to McKinsey research.

Organizations must adequately prepare their employees for this transition. It will require a technological shift and a cultural one. Organizations’ HR leaders understand the culture and, thereby, set expectations about how jobs will be affected. And they support the implementation of innovative ideas and a unique way of doing things.

HR and people leaders support businesses in their AI culture evolution efforts by targeting specific behavioral changes that potentially drive desired business outcomes and ensure leadership delivers consistent messages and clarity across company channels.

The talent community shares that it’s equally important to build a culture of trust when designing, developing, and deploying AI. Employees of organizations that promote trust demonstrate agility, even if they do fear change. This translates into faster adoption and scaling of AI.

The takeaway: Trust, agility, and a culture of innovation develop the right AI culture. Your HR and talent leaders play a strategic role to build and sustain your AI culture that will encourage creativity, experimentation, and innovation while helping your workforce overcome anxiety. To find critical focus areas, HR leaders will distinguish between those segments of your organization that quickly transformed from AI, where cultural adjustment is urgent and where change is slow.

Conclusion

AI transformation delivers compelling business results. But to make the most of it, your organization must take a comprehensive approach. By blending strategy, process revamping, and both human and technical skills with a trusted AI technology partner like SoftServe, you will develop the foundation of an AI-powered organization with outcomes that drive your business forward.