Articles / uncategorized / New research: 77% of executives say managers are prepared to guide AI skills development, while 91% of employees disagree
New research: 77% of executives say managers are prepared to guide AI skills development, while 91% of employees disagree
Executives Preparedness
77%
Percentage of executives who believe their managers are prepared to guide AI skills development
Employee Disagreement
91%
Percentage of employees who disagree with executives regarding managers' preparedness for AI skills development
Ineffective Development Plans
58%
Percentage of organizations reporting that their development plans are ineffective at improving performance and building capability
⦿ Executive Snapshot
- What: A survey reveals a significant disconnect in organizational AI readiness between executives and employees.
- Who: Executives and employees from over 1,200 organizations, with insights from Acorn's CEO Blake Proberts and President Keith Metcalfe.
- Why it matters: The disparity in perceived AI competency preparedness highlights management failures that undermine effective AI implementation and employee confidence.
⦿ Key Developments
- 77% of executives believe their managers are prepared to guide AI skills development, while 91% of employees disagree.
- 58% of organizations report their development plans are ineffective at improving performance and building capability.
- 88% of companies may experience a disparity between reported and demonstrated AI capabilities among employees.
⦿ Strategic Context
- Organizations traditionally struggle to connect learning investments to measurable outcomes, a challenge now exacerbated by AI.
- The gap between executive confidence and employee skepticism reflects a broader issue in change management during technological transitions.
⦿ Strategic Implications
- The immediate consequence is a lack of effective AI deployment, leading to wasted resources and employee frustration.
- Long-term, organizations risk falling behind in AI integration and employee skill development, creating a workforce ill-prepared for future demands.
⦿ Risks & Constraints
- Regulatory or structural barriers may hinder the establishment of clear role-level capabilities for AI.
- The disconnect between management and employee perceptions could foster a culture of skepticism and disengagement.
⦿ Watchlist / Forward Signals
- Organizations should establish role-level AI competency definitions and measurement frameworks to track effectiveness.
- Future surveys will indicate whether companies are successfully bridging the gap between executive and employee perceptions regarding AI readiness.
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