AI is a complex and evolving technology, and the way forward with it – while exciting – will be difficult for talent practitioners unless they get the right foundations in place first. That means being strategic about using AI that drives outcomes at the business level – not just buying AI for its own sake. According to McKinsey, “AI high performers” (those who see the highest impact of AI on the bottom line) are more likely to follow all AI best practices, many of which we will outline here.
Ultimately, buying AI is not the primary goal of talent teams: hiring the right people and keeping them in the business is. Talent teams need to be crystal clear about what they’re trying to achieve, how their tech stack works, the right processes to have in place, and where to use AI (or not) in order to drive positive business outcomes and ROI. They also need to be ready to address the potential pitfalls of AI: answering important questions about bias, transparency and ethics.
