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Are we caught in another tech hype cycle with AI? The promise of technology often clashes with financial and practical reality. This presentation cuts through the noise to offer a clear and balanced framework for thinking about the future of artificial intelligence in business and society.Join me for a thoughtful exploration of how to navigate the booms and busts of innovation. Using the "Could, Should, Might, and Don't" mindsets developed by futures designer Nick Foster, this talk dissects the different ways we approach the future—from the exciting, sci-fi visions of "Could Futurism" to the critical, ethical questions of "Don't Futurism."In this video, you will learn:How to recognize the phases of a technology hype cycle and avoid common pitfalls.The four key mindsets for engaging with the future of AI.Why user-centric design and adaptability are crucial for successful innovation, learning from past tech implementations.The importance of balancing optimism with a healthy dose of skepticism and ethical consideration.What are your thoughts on the future of AI? Which mindset—Could, Should, Might, or Don't—resonates most with you?
By Milan TomaAre we caught in another tech hype cycle with AI? The promise of technology often clashes with financial and practical reality. This presentation cuts through the noise to offer a clear and balanced framework for thinking about the future of artificial intelligence in business and society.Join me for a thoughtful exploration of how to navigate the booms and busts of innovation. Using the "Could, Should, Might, and Don't" mindsets developed by futures designer Nick Foster, this talk dissects the different ways we approach the future—from the exciting, sci-fi visions of "Could Futurism" to the critical, ethical questions of "Don't Futurism."In this video, you will learn:How to recognize the phases of a technology hype cycle and avoid common pitfalls.The four key mindsets for engaging with the future of AI.Why user-centric design and adaptability are crucial for successful innovation, learning from past tech implementations.The importance of balancing optimism with a healthy dose of skepticism and ethical consideration.What are your thoughts on the future of AI? Which mindset—Could, Should, Might, or Don't—resonates most with you?