The AI Execution Gap

Why most companies are still struggling to operationalize AI initiatives, and what the companies succeeding are doing differently. Original research from HappyFunCorp.

92% of mid-market companies have an AI mandate.

But only 17% have scaled AI in their organizations.

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Get the complete set of findings, including:

What companies who successfully scaled do differently than companies who can't get past MVP
Which organizations are most likely to engage external AI engineering partners
Complete industry breakdowns for Travel & Hospitality, Retail & Ecommerce, Healthcare & Life Sciences, and Media & Publishing

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AI adoption is no longer the challenge - execution is

Across Healthcare, Media, Travel and Retail, organizations have mandate, budget, and momentum behind AI.

But most are discovering the same thing: starting is easy, finishing and scaling is not.

The result is a growing AI execution gap, where teams are building but not delivering meaningful outcomes.

Why Technology Leaders Say Their AI Initiatives Stall

Cannot quantify AI business value or ROI

Unable to operationalize after deployment

Able to launch, but unable to sustain

“Fragmented systems and unclear ownership prevent scaling AI beyond pilots, limiting real-time personalization, operational efficiency, and measurable business impact across the organization.” — Director, Engineering, Travel & Hospitality

What Prevents Organizations From Scaling AI?

“Management expects AI to deliver a quick return on investment, but realizing its clinical value requires long-term investment and process reengineering.” — SVP/VP, IT, Healthcare & Life Sciences

What Leaders Who Scaled AI Said Was Most Important

“We are still struggling to move beyond pilots. We have proven AI can work but scaling it across the organization is where things break down.” — Director, Data/AI/Analytics, Retail & Ecommerce