5 AI-related workforce challenges every CEO must address in 2025

1. Acquire and retain talent

Skilled AI professionals – data scientists, machine learning engineers, AI product managers – are in short supply. Even when you recruit them, retention can be difficult. Build strong recruiting pipelines through university partnerships and specialized training programs. Offer compelling career paths and a culture of innovation to keep top talent engaged. If you can’t hire the talent you need, find the best external partners to work with.

2. Overcome cultural resistance

Implementing AI inevitably triggers fear and skepticism. Employees worry about losing autonomy or being replaced. To reduce resistance, communicate clearly how AI augments their work, share quick wins from pilot projects, and celebrate early adopters.

3. Foster cross-functional collaboration

Successful AI implementation requires cross-department coordination among IT, finance, marketing, and others. Siloed data and conflicting goals slow progress. Create and staff cross-functional teams with the right leaders. Pair domain experts with AI professionals to align solutions with real business needs.

4. Embrace upskilling and reskilling

Many roles will require at least basic AI literacy. Offer in-house academies, online courses, and hands-on workshops so employees can apply what they learn directly to their tasks. This democratization of AI skills boosts efficiency and morale.

5. Manage job loss and its implications

Automation will likely consolidate work and eliminate roles. Be transparent about the potential for displacement. Where possible, redeploy or reskill affected employees to retain institutional knowledge. Showing empathy – through career counselling or severance options – helps maintain trust with your remaining employees and preserves a positive employer brand.