When AI levels the playing field, speed won’t win. Learn how creative pros can use AI to go deeper, build original work, and push past average in the AI era.
Great post—really aligned with how I’ve been thinking about this shift. AI has actually helped me understand my own process better, and what I’m making now feels more like me than ever!
Thanks for reading, Matthew—I really appreciate it. I’ve had a similar experience lately, turning my own processes into visual systems and flowcharts with AI. Wild how these tools can give us new angles on things we thought we already knew inside out.
The Red Queen Effect and the Kano Model suggest that *all* improvements are only temporary wins. Today's better, cheaper, or faster is tomorrow's new baseline. Today's delightful new product features are tomorrow's standard requirements.
Going better, cheaper, and faster is essential, but it's all just improvement, not innovation. On top of that, also try to do something tomorrow that wasn't even possible today. That's how you'll make a real difference.
There is SO MUCH really great stuff here in every section.
I loved the idea of MegaDucking—and yes! That’s what I’m finding too! Thought-partnership with AI pushes my ideas further, making them better.
The value in AI is exactly this for me: “Here's the key: I refuse to let efficiency and speed dilute the value of my work. I've always been motivated. I've always had the drive. But friction, tedious steps, second-guessing, mental clutter—it slowed me down. Now that friction is gone, and what's replaced it is a consistent flow that leads to high-level output.”
Thanks Cat—your comment really made my day. That line about refusing to let efficiency dilute the value of work was almost left on the cutting room floor! I wasn't sure if taking such a definitive stance would connect.
Appreciate you taking the time to share what resonated. Helps me know what to keep exploring in future pieces!
This was a great read Stefan! I totally resonate with your overall point! This speaks to what I’ve been thinking about lately which is that AI gives us more room to be innovative with our ideas rather than relying solely on efficiency. Because innovation isn’t often made with efficiency but with effort and the desire for quality.💪💪💪
Great post—really aligned with how I’ve been thinking about this shift. AI has actually helped me understand my own process better, and what I’m making now feels more like me than ever!
Thanks for reading, Matthew—I really appreciate it. I’ve had a similar experience lately, turning my own processes into visual systems and flowcharts with AI. Wild how these tools can give us new angles on things we thought we already knew inside out.
I would phrase it differently:
The Red Queen Effect and the Kano Model suggest that *all* improvements are only temporary wins. Today's better, cheaper, or faster is tomorrow's new baseline. Today's delightful new product features are tomorrow's standard requirements.
Going better, cheaper, and faster is essential, but it's all just improvement, not innovation. On top of that, also try to do something tomorrow that wasn't even possible today. That's how you'll make a real difference.
There is SO MUCH really great stuff here in every section.
I loved the idea of MegaDucking—and yes! That’s what I’m finding too! Thought-partnership with AI pushes my ideas further, making them better.
The value in AI is exactly this for me: “Here's the key: I refuse to let efficiency and speed dilute the value of my work. I've always been motivated. I've always had the drive. But friction, tedious steps, second-guessing, mental clutter—it slowed me down. Now that friction is gone, and what's replaced it is a consistent flow that leads to high-level output.”
Thanks Cat—your comment really made my day. That line about refusing to let efficiency dilute the value of work was almost left on the cutting room floor! I wasn't sure if taking such a definitive stance would connect.
Appreciate you taking the time to share what resonated. Helps me know what to keep exploring in future pieces!
This was a great read Stefan! I totally resonate with your overall point! This speaks to what I’ve been thinking about lately which is that AI gives us more room to be innovative with our ideas rather than relying solely on efficiency. Because innovation isn’t often made with efficiency but with effort and the desire for quality.💪💪💪
Thank you so much for taking the time to read. I’m glad it connected with you. Efficiency is not the only game in town!