New research shows that 95% of AI pilots fail to show measurable ROI beyond experimentation (MIT).

It's not because the technology doesn't work. It's because most organizations haven't built the capability infrastructure required to operationalize it.

General Assembly's AI Academy offers a proven path forward: Building systems and training the leadership needed to scale AI with impact.

What you need to know: AI adoption often breaks down at the enterprise level.

• Leaders may lack a clear strategy for integrating AI into workflows.
• Teams often don't have the hands-on, role-specific skills to apply it.
• Many companies treat AI training as a one-off event — not as a sustained capability journey.

A new system for scaling AI across the enterprise

For organizations to succeed, they need to treat AI capability like core infrastructure. General Assembly's AI Academy is built around this principle — a system-level solution designed to embed AI into how work happens across the enterprise.

Rather than offering one-off training, the Academy is structured around a four-stage operating model that helps leaders:

• Diagnose and Learn (Literate): Readiness assessments, workforce segmentation and leadership alignment.
• Enable & Equip (Applied): Role-based upskilling, prompt engineering, with the outcome being shifting from knowledge to utility.
• Integrate & Automate (Operational): Governance models and a Champions Network, which can lead to process automation and faster time-to-market.
• Transform & Scale (Transformational): Leadership transformation, agentic AI systems, with the goal of measurable ROI and competitive advantage.

The results: When organizations take this approach, the impact is measurable — training paired with application drives 30-40% higher‑quality outcomes.

In a recent survey of 500 HR professionals across the U.S., U.K. and Singapore:

• 83% agree that upskilling internal talent is more cost-effective and sustainable than hiring new AI talent.
• Top capability areas include data analytics, AI development and applied AI literacy.

• Upskilling is increasingly focused on embedded models — not classroom learning.

Built for CLOs: Solving the 5 biggest barriers to enterprise AI learning

The AI Academy is designed with Chief Learning Officers in mind. It addresses five major pain points facing enterprise learning leaders:

• The Enablement Gap: Training that raises awareness but doesn't change how work is done.
• The One-Size Trap: Generic 101 courses that don't account for different levels of AI fluency — i.e. disengaging advanced users and overwhelming beginners.
• Pilot Purgatory: AI experiments that never scale operationally.
• Readiness Bottlenecks: No visibility into who is ready for what level of AI adoption.
• Sustainment Failure: Event-based training decays rapidly without reinforcement or application.

The takeaway: AI investment alone isn't delivering results and the companies that succeed won't just train for AI fluency. The organizations that will thrive will be the ones that build the capability infrastructure to operationalize AI.

General Assembly's AI Academy gives enterprise leaders the blueprint to build that capability infrastructure.

Learn more.