Nathaniel Whittemore separates efficiency AI, which improves existing work, from opportunity AI, which enables activities a person or organization has not previously considered. Mixed reactions to new models motivate the distinction, but he treats opportunity as a mindset rather than a guarantee that the latest model is better for every task.
Nathaniel Whittemore proposes playable marketing, custom video-production pipelines, explorable product demonstrations and interactive client proposals. These are thought starters: the value comes from allowing users to investigate a problem or manipulate delivery tradeoffs, not merely from producing a game or a polished page.
Nathaniel Whittemore extends the idea to business-decision simulators, 3D learning, customer-story films, practice environments, physical prototypes and interactive products built from professional expertise. He recommends low-cost experiments and feedback, acknowledges that many attempts will fail, and notes that successful opportunity projects can also produce efficiency gains.
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