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BEGIN:VEVENT
DTSTART:20261007T170000Z
DTEND:20261007T190000Z
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SUMMARY:Community Event: Executive AI Leadership Forum: Keep Chasing AI. Or "Change" the Game.
DESCRIPTION:Keep Chasing AI. Or "Change" the Game.\n\nAI usage is nearly universal. AI maturity is not.\n\n88% of organizations report regular AI use in at least one team. Only 7% have scaled it across the entire organization. Only 39% can point to any measurable enterprise-level profit impact. (McKinsey\, State of AI: Global Survey\, 2026)\n\nNearly 70% of AI transformations fail to meet expectations. Culture\, governance\, and change management determine ROI more than the sophistication of the tool. Organizations that invest at least 10% of their AI budget in training and change management are 1.5x more likely to succeed.\n\nThe real risk in seeing and maintaining ROI on the AI investments made isn't AI literacy or slow adoption. It's what Deloitte calls "culture debt" the cost organizations accumulate when they scale AI without a strategic approach to leadership behavior and the workplace norms needed to build a culture where human and artificial intelligence are integrated to achieve business outcomes\, and people are developed to lead that norm.\n\nBy 2030\, nearly 40% of core job skills will change. Human-centered capabilities will rank alongside AI skills as most critical to the future workforce.\n\nTechnology isn't the problem. The change model underneath it is.\n\nEvery change management framework in use today was built on one principle: change has an end. Start it\, sustain it\, finish it\, move on.\n\nBut AI doesn't operate in this framework. AI doesn't refreeze. It doesn't anchor. AI learns and develops exponentially.\n\nPeople learn and develop sequentially. People must adapt to lead in a world where change no longer freezes.\n\nThe gap in AI adoption isn't about more AI tools or AI tool training.\n\nThe adoption is in changing leadership practices\, mindset\, and behaviors to lead in a human intelligence and artificial intelligence culture and preparing people to lead in a culture of continuous change.\n\nThe Distributed Intelligence Leadership Change Model is the only change management framework built for continuous change equipping people to use human intelligence to lead artificial intelligence.\n\nJoin us in October for a closed-door forum introducing any senior decision maker responsible for AI ROI\, AI Adoption or AI Transformation to the room where you'll learn more about Distributed Intelligence\, the integrator of Human Intelligence and Artificial Intelligence.\n\nLight lunch served. Attendance is not open registration.\n\nClick the link to submit the interest form. If you're fit\, our team will follow up with full event details.\n\nThe Link: https://api.leadconnectorhq.com/widget/form/lRv8xHd5KWlrRgesHVmu
X-ALT-DESC;FMTTYPE=text/html:Keep Chasing AI. Or "\;Change"\; the Game.
\n\nAI usage is nearly universal. AI maturity is not.
\n\n88% of organizations report regular AI use in at least one team. Only 7% have scaled it across the entire organization. Only 39% can point to any measurable enterprise-level profit impact. (McKinsey\, State of AI: Global Survey\, 2026)
\n\nNearly 70% of AI transformations fail to meet expectations. Culture\, governance\, and change management determine ROI more than the sophistication of the tool. Organizations that invest at least 10% of their AI budget in training and change management are 1.5x more likely to succeed.
\n\nThe real risk in seeing and maintaining ROI on the AI investments made isn'\;t AI literacy or slow adoption. It'\;s what Deloitte calls "\;culture debt&rdquo\; the cost organizations accumulate when they scale AI without a strategic approach to leadership behavior and the workplace norms needed to build a culture where human and artificial intelligence are integrated to achieve business outcomes\, and people are developed to lead that norm.
\n\nBy 2030\, nearly 40% of core job skills will change. Human-centered capabilities will rank alongside AI skills as most critical to the future workforce.
\n\nTechnology isn'\;t the problem. The change model underneath it is.
\n\nEvery change management framework in use today was built on one principle: change has an end. Start it\, sustain it\, finish it\, move on.
\n\nBut AI doesn'\;t operate in this framework. AI doesn'\;t refreeze. It doesn'\;t anchor. AI learns and develops exponentially.
\n\nPeople learn and develop sequentially. People must adapt to lead in a world where change no longer freezes.
\n\nThe gap in AI adoption isn'\;t about more AI tools or AI tool training.
\n\nThe adoption is in changing leadership practices\, mindset\, and behaviors to lead in a human intelligence and artificial intelligence culture and preparing people to lead in a culture of continuous change.
\n\nThe Distributed Intelligence Leadership&trade\; Change Model is the only change management framework built for continuous change equipping people to use human intelligence to lead artificial intelligence.
\n\nJoin us in October for a closed-door forum introducing any senior decision maker responsible for AI ROI\, AI Adoption or AI Transformation to the room where you&rsquo\;ll learn more about Distributed Intelligence\, the integrator of Human Intelligence and Artificial Intelligence.
\n\nLight lunch served. Attendance is not open registration.
\n\nClick the link to submit the interest form. If you'\;re fit\, our team will follow up with full event details.
\n\nThe Link: https://api.leadconnectorhq.com/widget/form/lRv8xHd5KWlrRgesHVmu
\n
LOCATION:Plano\, Texas
UID:e.854.25394
SEQUENCE:3
DTSTAMP:20260913T210936Z
URL:https://members.planochamber.org/events/details/community-event-executive-ai-leadership-forum-keep-chasing-ai-or-change-the-game-25394
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