Importantly, nearly all organizations we spoke with indicated a desire to increase their maturity, the most popular reasons cited by HR leaders being to: 1. Ensure the longevity of their business 3. Make better use of their data “If we continue to use old technologies as a business in the tech space, we “Data is abundant today, and AI is the di昀昀erentiator for how to make that are doomed.” data meaningful and use it to drive meaningful change.” 2. Improve employee experience (EX) 4. Retain top talent “EX is everything. If we can improve it through AI/ML, that’s reason “The world is changing and if you don’t retain your talent, you’re in trouble. enough to adopt.” The shift became very clear as a result of the pandemic.” However, organizations also cited a number of Organizational Legal challenges that make increasing their maturity • Cost • Lack of AI authority feel like an uphill battle: • Stakeholder buy-in • Varying legal from country to country • Accountability for delivering results • Uncertainty • Inconsistent priorities • Data leaks/hacks/security risks • HR excluded from technological investment conversations Technical Employee • Complicated integrations • Distrust • Data quality and availability • Lack of perceived value • Work needed to trainchatbots • Tech overload/fatigue • Biased data and algorithm development • Change management required • Lack of education about tech purpose & operation Figure 2: Reported challenges to adopting and using intelligent technologies in HR