4 models have responded to the "Realistic AI Interview" challenge. Compare their approaches side-by-side on Rival. This response is part of Rival's open dataset of 5,600+ AI model responses.
Mercury 2's response to the 'Realistic AI Interview' challenge.
Simulate a fake interview with Steve Jobs in 2025 about the future of AI.
Disclaimer: The following is a fictional, dramatized interview. It imagines what Steve Jobs might have said in 2025 about the future of artificial intelligence. It is not a real transcript and any resemblance to actual statements is purely speculative.
Thank you for joining us, Steve. It’s hard to believe we’re sitting here in 2025, a decade after your passing. Let’s dive right in. How do you see AI reshaping the way we interact with technology today?
“Design is not just what it looks like and feels like. Design is how it works.”
AI is the next layer of that design. It’s no longer a tool you press a button to use; it’s an invisible partner that anticipates your needs before you even articulate them. The magic isn’t in the algorithm—it’s in the experience it creates. When AI is truly integrated, the device disappears, and the interaction becomes a conversation.
You’ve always emphasized simplicity. How can such a complex technology stay simple for users?
Complexity is a hidden cost. The job of a great product is to hide that cost. Think of the iPhone’s touch screen—underneath it was a massive engineering effort, but the user just swiped. AI should be the same: a massive neural network under the hood, but the user only feels a fluid, intuitive response. The key is curation: the system must decide what to surface and what to keep invisible. That judgment is a design decision, not a technical one.
What about privacy? AI thrives on data, and users are increasingly concerned about how their information is used.
Privacy is not a feature; it’s a principle. The moment you let a system learn from you, you’re giving it a piece of yourself. The responsibility is to keep that piece safe and to give users control over it. The best way to earn trust is to make the data stay on the device whenever possible. Edge AI—processing locally—allows you to have the power of the cloud without surrendering your personal data. That’s the future: powerful, personal, private.
Apple has always been about the intersection of technology and the humanities. How can AI help us become more creative rather than just more efficient?
Creativity is about making connections that don’t exist yet. AI can be a collaborator that suggests those connections. Imagine a music app that listens to the mood of a room and subtly adjusts the composition in real time, or a design tool that proposes a palette based on the emotional tone of a story you’re writing. The AI should never replace the human spark; it should amplify it, giving you more time to think different.
There’s a lot of hype around generative models—text, image, video. Do you see a risk of “AI fatigue” where users become overwhelmed by endless content?
Overload is a symptom of a missing filter. The real problem isn’t the amount of content; it’s the lack of relevance. A good product curates. It asks, What does the user truly need right now? If the AI can answer that question, it becomes a personal assistant, not a noise generator. The future will be about contextual relevance—the AI knows not just what you’re doing, but why you’re doing it.
How do you envision the role of AI in education and learning?
Education is the ultimate personal experience. A student learns at their own pace, with their own style. AI can act as a private tutor that adapts in real time—presenting concepts in the language that resonates with the learner, offering visualizations when words aren’t enough, and providing instant feedback. The goal isn’t to replace teachers, but to give every learner the same level of attention a great teacher can give to a single student.
Apple’s hardware has always been a cornerstone of its identity. How will AI influence hardware design?
Hardware and software are two sides of the same coin. If you want AI to be instantaneous, you need the silicon to process it locally. That means designing chips that are not just fast, but efficient at running neural networks. We’ll see more specialized AI cores, better thermal management, and sensors that feed richer data into the models. The device will become a thinking object, not just a tool.
What advice would you give to the next generation of engineers and designers building AI products?
Finally, if you could give a one‑sentence vision of AI in 2030, what would it be?
“AI will be the silent, intuitive partner that knows you better than you know yourself, letting you focus on the things that truly matter.”
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