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FAQ: MindFlare AI's Workforce Development Model for Closing the AI Skills Gap
TL;DR
Companies investing in AI training like MindFlare AI's workshops achieve triple revenue-per-employee growth and gain clear competitive advantage over unprepared peers.
MindFlare AI's approach integrates role-specific application with daily workflow reinforcement to overcome the Ebbinghaus Forgetting Curve and build lasting AI capability.
Closing the AI skills gap through practical training expands human capacity and creates more capable teams ready for the next era of work.
Only 22% of employees effectively use prompt engineering despite 94% of CEOs ranking AI skills as their top hiring priority.
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MindFlare AI is addressing the significant AI skills gap where 68% of executives report moderate to extreme AI skill shortages in their organizations, and only 22% of employees know how to use prompt engineering effectively, despite 94% of CEOs ranking AI skills as their top hiring priority.
The AI skills gap is costing companies up to $5 trillion globally and preventing them from achieving measurable ROI, with companies leveraging AI achieving up to three times higher revenue-per-employee growth than lagging peers.
Unlike traditional 'AI 101' seminars that focus on tools rather than transformation, MindFlare AI's workshops combine global AI literacy standards with role-specific application, hands-on workflow design, and real-time AI learning assistants that integrate into daily work.
The Ebbinghaus Forgetting Curve is a psychological principle showing people forget up to 90% of what they learn within days if not reinforced, which explains why one-time AI training sessions fail to create lasting capability.
Organizations should implement AI training now using remaining 2025 training budgets to build readiness before the new year, as companies that invest in AI capability now will enter 2026 with trained teams and competitive advantage.
The approach transforms AI education from theory into daily applied skill-building, resulting in higher adoption, faster productivity gains, measurable business value, and confident teams ready for AI-enabled workflows.
Both executives and employees are affected - executives see AI as essential but face skill shortages, while employees lack confidence and practical skills to use AI effectively in their specific job roles.
Between 60-70% of companies entering 2026 lack formal AI training programs, despite record spending on automation and generative tools.
Organizations can book a custom AI readiness workshop before year-end to close the skills gap and start 2026 ahead of the curve with trained teams and measurable ROI.
Curated from Reportable
