Using AI as a Teammate Can Create Space for Skills Development

Why It Matters

Without dedicated space for learning, organizations risk widening the skills gap and failing to harness AI’s productivity gains, undermining future competitiveness.

Key Takeaways

• Only 26% feel ready for career advancement in three years
• Less than 20% say employers strongly invest in skill development
• AI is used daily by just 20% of workers
• Managers must create mental and cultural space for learning
• Patience and structured practice drive lasting skill growth

Pulse Analysis

The widening skills gap is a strategic threat for firms that rely on rapid innovation. ADP’s survey of more than 39,000 global employees reveals that just a quarter feel prepared for the next three years, and under 20% perceive meaningful employer investment in upskilling. Those numbers contrast sharply with the growing demand for AI‑augmented roles, where only one‑fifth of workers engage with AI daily and a mere 17% expect it to improve their jobs soon. This disconnect highlights the urgency of rethinking how companies allocate learning resources.

A practical illustration comes from nine‑time APGA champion Marcus Byrd, whose approach to golf mirrors effective corporate learning. Byrd first carves out dedicated mental and physical space before any practice, allowing time to flow naturally from the plan. He leans on a team of swing and mental coaches who provide structure, feedback, and the psychological safety needed for incremental improvement. Translating that to the workplace, managers must act as space‑builders—clarifying future skill needs, shielding employees from competing priorities, and fostering a culture where experimentation is encouraged.

For AI to become a true teammate rather than a novelty, organizations must embed space into their upskilling strategies. Providing employees with uninterrupted periods for hands‑on AI experimentation, paired with supportive mentorship, accelerates confidence and adoption rates. Companies that blend patient, structured practice with clear business objectives will not only close the skills gap but also unlock AI’s productivity boost, positioning themselves ahead of competitors in the evolving digital economy.