- Research from Harvard Business Review shows that the gap between senior leaders and middle managers is the biggest barrier when implementing AI.
- After 3 years of tracking, AI effectiveness has not met expectations despite large investments, mainly due to a lack of synchronization within the organization.
- Middle managers tend to be 64% more cautious than senior leaders regarding the progress and effectiveness of AI.
- Leaders often use AI for high-level strategy and analysis, where the technology performs well.
- Meanwhile, middle managers must implement AI into complex, error-prone actual processes that require high accuracy.
- When AI fails, middle managers are the ones who bear the direct pressure, leading to a reserved mindset.
- Difference in goals: leaders focus on long-term vision, while managers focus on current operations.
- The solution is not to invest in more technology but to support people: training, reducing workload, and co-constructing AI strategy.
- Businesses need to clearly identify the real problems that need solving instead of applying AI as a trend.
- A lack of clear responsibility when AI errors occur can lead to “blame-shifting” within the organization.
📌 AI implementation failure is not due to technology but to people and the organization. When leaders and middle managers are misaligned, large investments struggle to create real value. Businesses need to focus on processes, data, and people, while clearly defining business goals before applying AI to avoid waste and failure.
