While leaders recognize that career development is crucial for retention, their actions often contradict this recognition. And while historically it was within their power to choose where they distributed growth and opportunity, the reality may have changed.
Our research shows that hiring managers are often eager for what’s "shiny and new"—the external candidate—while overlooking the talent they already have. Internal mobility is simply not keeping pace with company growth.
When you’re not actively promoting your own people and giving them new opportunities, you’re inadvertently encouraging them to satisfy their appetite for growth elsewhere.
And when recruiters aren’t leveraging internal data to help source candidates, the data disconnect becomes more obvious.
So how can you reverse this trend?
- Redefine what growth means at your organization. Move beyond rigid career ladders and create opportunities for lateral moves, project-based work (such as gigs), and upskilling. These alternative pathways allow your top talent to gain new skills and exposure without having to leave the company.
- Prioritize internal mobility. Use your people data to gain real-time visibility into the skills and potential of your workforce. Use AI-powered talent marketplaces to proactively match your people with new roles and projects before you even think about looking externally.
- Cultivate a culture of challenge and connection. Empower your managers to have ongoing conversations about career aspirations. Use talent data to connect employees with critical projects, cross-functional teams, and mentorship opportunities. This is how you foster the innovation and collaboration that keep your best people engaged.
Your AI Strategy Has a Communication Problem
As AI becomes a cornerstone of every business, you’d expect employees to be on board with the transformation. But our data tells a different story.
Nearly half of employee comments about AI and strategy carry a negative tone. Employees cite poor communication, uneven adoption, and added pressure.
This lack of AI clarity is eroding confidence and slowing down the very transformation leaders strive to achieve.
Indeed, leaders have a clear vision for AI, how it will drive value, and what they plan to do with the productivity surplus. But without a clear communication about AI strategy and how it will impact roles and team structures, employee trust is suffering.