Driverless cars are now operational despite past criticisms and inaccurate timelines.
The evolution of driverless cars highlights the significance of maturity models for informed business decisions.
Enterprise AI requires a model to map its advancement and adoption.
The fall of crypto in 2022 and the rise of generative AI with OpenAI's ChatGPT are significant events in the tech industry.
Technological progress does not follow a linear path but involves stages of stability and moments of revolution.
AI adoption for enterprises involves different models of change beyond extreme optimism or pessimism.
New technologies lead to adaptation and transformation in society and industries.
AI will bring significant changes to the world, akin to a paradigm shift or disruption.
Normalization of new technologies requires adaptation of old ways to new tools and vice versa.
Chip Morningstar's experience with hypertext illustrates the challenges of introducing new technologies to society.
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