AI strategies are everywhere. Productivity gains are not.
After supporting 500+ workforce transformations, one pattern became clear:
most talent strategies fail not because the strategy is wrong, but because the technology cannot execute it.
In this candid session, Austin Smith shares lessons from the field and explains how organizations are achieving
10X productivity improvements using AI-native talent systems rather than incremental gains from traditional tools.
Watch the webinar replay to learn how leading teams are redesigning work, learning, and performance around AI.
What You Will Learn in This Session:
-
The Three-Loop Framework for 10X Productivity
Discover how the Work Loop, Growth Loop, and Intelligence Loop create a self-reinforcing system
that compounds productivity gains. Learn why traditional linear talent systems struggle to deliver meaningful improvements in the AI era. -
Real Operational Proof Points
See how Infopro Learning deployed AI Workspace internally to accelerate execution across teams:
- Sales reduced proposal creation from 8 hours to 45 minutes (10.6X faster)
- Marketing accelerated campaign brief creation by 18X
- L&D reduced course development time by 40 percent while improving quality
These examples illustrate how AI becomes a productivity multiplier inside real workflows, not just another tool.
-
A Practical 90-Day Implementation Path
Understand a realistic roadmap to prove AI impact quickly:
- Month 1: Prove value with one team
- Month 2: Expand to three to five departments
- Month 3: Scale across the enterprise
The session also highlights the common implementation mistakes that stall AI initiatives.
-
Why AI-Native Architecture Matters
Learn the difference between bolt-on AI layered onto legacy platforms and systems designed
AI-native from the ground up. This architectural choice determines whether organizations achieve incremental gains or build exponential competitive advantage. - How Leading Organizations Are Approaching AI Adoption
One of the strongest insights from the session: successful adoption is rarely a tool problem.
It is a leadership and mindset challenge.
Austin shares practical guidance on how managers drive adoption through open conversations about AI, embedding AI into daily workflows rather than relying on formal training programs.
Key Takeaways from the Webinar
- AI adoption succeeds when it is embedded into daily workflows, not taught as standalone training
- Productivity gains come from system architecture, not isolated AI tools
- Teams that operationalize AI early are building 2–3 year competitive advantages
- Small pilots executed quickly outperform long transformation programs
Speaker:
Austin Smith Senior Director of Learning Technology & AI Innovation at
Infopro Learning
Austin Smith brings nearly 10 years of experience in learning technology combined with a decade of coaching high school football. This unique background shapes his approach to AI-powered talent development – believing the best learning happens in the flow of work, not as a single learning event.
As Senior Director of Learning Technology at Infopro Learning, Austin is leading the launch of OneGuru, an AI-native talent operating system that connects skills directly to performance outcomes. OneGuru detects skills from real work, amplifies employees with AI that learns your business, and compounds individual capability into institutional intelligence that creates competitive advantage.
Austin’s driving a fundamental shift: connecting skills directly to performance outcomes – not just tracking what people know, but amplifying what they actually do.