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    Balancing human creativity with AI capabilities in product innovation?🤖 Thoughts?🤔

    Bilal Asif
    10 replies
    Personally, I believe the key is collaboration: using AI to manage repetitive or data-heavy tasks, while humans focus on creative and strategic thinking. This combination can lead to innovations that are both effective and meaningful. How do you see this balance working in your own experiences or projects? 🤔

    Replies

    xavi
    Yes, right now AI automates and assists us in many of these tasks and thus lead to faster innovation and execution. But this is at the current level of LLMs, and as it progress to new levels, the landscape will change and the balance as well.
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    Tim Hillison
    Fleak
    I agree @bilalasif. AI is a great way to speed up research intensive tasks to build hypotheses. The key is to keep a human in the loop and avoid mistakes. Hallucinations are real and when spotted externally, can be very embarrassing.
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    Simon Paul
    Exactly! Using AI for repetitive tasks frees up time for creative thinking and innovation. It’s all about using the tools effectively
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    Morgan Harriss
    That’s a smart approach. I’ve found that AI helps manage the details while I concentrate on innovative and strategic aspects
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    Allen Deck
    In my work, AI takes care of the data-heavy parts, while I focus on creative solutions and strategy. It’s a balanced approach
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    Sue Buist
    I use AI heavily for creative inspiration. I don't like the current capabilities of AI for fully creating things, however to give me a wide range of ideas is great. Sometimes I get stuck in a rut with my thinking and can't see beyond my own thoughts, AI is that wealth of ideas that is not bound by my experience of limited thinking.
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    Udaya Sri
    I totally agree with you. Using AI for the repetitive stuff while humans focus on creativity and strategy can lead to really great innovations. It’s a key idea that many of us need to understand in this AI era.
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    Karen Anderson
    I think the key is balancing machine learning capabilities with human intuition & creativity. AI is great for speeding up research, analyzing data, generating initial ideas/prototypes. But humans are still needed to provide strategic direction, validate outputs, spot issues, and add the creative spark. Symbiotic human-AI collaboration leveraging the strengths of both is the sweet spot for product innovation. Tools like GPT-4/Claude can help a lot but shouldn't fully replace people in the process.
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