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Beyond the Prompts and Tools: Why Most AI Training Isn't Enough

Jason Flynn
Jason Flynn

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Rashid Smith
AI-Native  Framework Team
Rashid Smith & AI-Native Framework Team · Nov 30th, 2025
AI initiatives tend to fail not because of the technology, but because leaders don't see the real cost curve until it's too late. The role of leadership isn't to understand every model architecture. It's to ensure the organization is asking the right economic questions.
# Leadership
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Asim Javed
Asim Javed · Nov 14th, 2025
Success with AI isn't about what tools we buy, but how we think. This video explores the "AI-Native" mindset and the 7 success factors our organization needs to survive and thrive in the age of AI.
# Foundations
# Week 1
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Rashid Smith
Rashid Smith · Nov 10th, 2025
Discover what it means to be AI-Native — embedding AI deeply into business mindset and operations for competitive advantage in the Age of AI.
# Article
# Foundations
# Week 1
1
Rashid Smith
Rashid Smith · Nov 10th, 2025
An AI-Native Change Agent is the person or team responsible for ensuring that AI solutions do not just get built, they get adopted, integrated, and used to drive real business outcomes. They translate across domains, align incentives, and steward initiatives so ideas move from spark to production and realize value as quickly as possible.
# Article
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Many companies struggle with AI initiatives because they use a one-size-fits-all approach to AI training. This blog article argues that successful AI transformation requires tailored AI fluency development for each organizational level: Board & CEO, Executive Leadership Team, Business/Functional Leaders, and All Employees.
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In today's rapidly evolving technological landscape, many enterprise leaders are "AI aware," understanding that artificial intelligence is a significant business driver. However, awareness alone is proving insufficient for strategic success. This blog post highlights the critical distinction between AI awareness and AI fluency, revealing why a lack of the latter is costing organizations competitive advantage, leading to financial waste, and hindering talent acquisition.
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Organizations face a widening gap between AI innovation and practical adoption, with most struggling to scale projects beyond pilots. The solution isn't more technology but "AI-Native Change Agents" - leaders who translate innovation into measurable business value by addressing three critical blind spots in implementation strategy.
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