This is the hidden reason your AI investments are failing, according to Brené Brown

A BetterUp report reveals that AI investment success depends heavily on organizational culture, with leaders who combine AI deployment with trust-building and coaching achieving 17% greater team performance, while those neglecting these human factors risk performance declines.

The BetterUp research identifies a critical gap in how organizations approach AI implementation. Many leaders focus narrowly on technology adoption while overlooking the organizational dynamics that determine whether AI tools actually drive productivity. This finding challenges the common assumption that AI investments generate returns automatically, suggesting instead that human factors are essential infrastructure for realizing technological benefits.

This insight reflects a broader trend in enterprise technology adoption. Historical data from major digital transformations shows that companies investing heavily in change management and employee development alongside new tools consistently outperform those treating technology as a standalone solution. The research points to a fundamental misunderstanding: AI isn't a plug-and-play solution but rather a capability that requires organizational readiness, psychological safety, and trust between leadership and teams.

For investors and stakeholders in AI companies, this has material implications. Organizations may underestimate total implementation costs when they fail to budget for coaching, training, and cultural development. This could lead to project failures and reduced enterprise spending if vendors don't help customers address these dimensions. The finding also validates companies offering change management, employee coaching, and organizational development services as complementary to AI infrastructure.

Moving forward, the most successful AI deployments will likely be those where vendors package technical solutions with organizational readiness frameworks. Enterprises should demand that AI implementation includes clear metrics for cultural factors alongside performance metrics, and investors should evaluate AI companies based on their support for holistic adoption rather than pure technology capability.

• →Organizations pairing AI investments with trust-building and coaching see 17% greater team performance improvements
• →AI implementations without cultural and human development support risk declining performance outcomes
• →Technology adoption success depends as much on organizational readiness as it does on the technology itself
• →Enterprise AI spending may be underestimated when change management and coaching costs are excluded from budgets
• →Complementary services in coaching and organizational development represent significant value in AI deployment strategies