Tim Burke provides insight on the early-career skills gap shaping AI readiness across today’s organizations.
Dice Insights published a new feature examining the surge in demand for AI-skilled talent — even as overall tech hiring continues to slow. The article includes expert commentary from Quest’s CEO, Tim Burke, who highlights a trend many organizations are now facing as they move from AI experimentation to real deployment.
In the piece, Tim points to a growing gap between academic exposure and the hands-on capabilities needed to support operational AI. Early-career technologists are often well-versed in theory, but lack practical experience in key areas such as:
- Data engineering
- Model operations
- Security-aware development
- Connecting AI initiatives to measurable business outcomes
As organizations accelerate their AI ambitions, these capability gaps are becoming more visible — and more consequential for teams tasked with delivering secure, scalable AI systems.
Read the full Dice Insights article:
If you’d like to explore how these trends may intersect with your team, your roadmap, or upcoming initiatives, our team is always available for a conversation.
