AI in Action AI energy consumption: What it means for businesses and the power sector
12 snips
Aug 12, 2025 Kazi Kazzorkov, CEO of Kozer and a pioneer in decision intelligence, delves into the energy implications of AI. He discusses how AI's increasing energy demand correlates with productivity gains and explores innovative solutions for balancing energy consumption. Kazzorkov emphasizes the potential of nuclear power and efficient power generation as key strategies. Additionally, he provides valuable insights for leaders on navigating AI's challenges while ensuring grid stability, making for a thought-provoking conversation on AI's role in the energy sector.
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Data Changes Actions, Not Just Looks
- Kazi Kazzorkov: Data is only important when it changes our actions.
- Leaders must treat data as a tool that informs decisions, not as decoration.
Articulation Is The New Core Skill
- Kazi Kazzorkov: The key skill for generative AI is articulating what you want.
- Do not hoard raw data; focus on clear questions that models can answer.
AI Invites Complexity And Risk
- Kazi Kazzorkov: AI introduces complexity that leaders must manage.
- Expect unpredictability and treat AI deployments as high-responsibility decisions.
