My site: https://natebjones.com
Full Story w/ Prompts: https://natesnewsletter.substack.com/p/executive-briefing-visual-ai-isnt?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
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What's really happening with AI image generation in the enterprise? The common story is that tools like Nano Banana Pro are for designers and marketers ā but the reality is more complicated.
In this video, I share the inside scoop on why visual AI is infrastructure, not a creative tool:
⢠Why the invisible fence around AI has been visual interpretation
⢠How the closed loop changes workflows that broke at visual touchpoints
⢠What separates 30% organizations from 300% organizations
⢠Where visual AI creates real leverage beyond the design department
A billion images generated in 53 days is not a story about artistic quality. It's about what happens when AI systems can finally see and show. Customer support can interpret screenshots. Product teams can receive visual triage reports. Documentation can update itself. The automation chains that broke at visual links can now run continuously.
For leaders assessing AI investments, the window of first-mover advantage is open ā but treating visual AI as a department tool will only capture point solution value.
Chapters
00:00 A billion images in 53 days is not the real story
01:59 The invisible fence that limited AI adoption
04:04 Visual bottlenecks are embedded throughout operations
05:18 Why AI gains have been limited to text-centric functions
06:45 Example: telecom router support without human bridge
09:11 The flywheel effect that accelerates AI adoption
11:34 You don't have to build your own image model
14:00 Calibrating trust through visual verification
16:05 Images as universal Lego brick connectors
17:49 Where visual AI creates the most leverage
20:09 Product management and communication artifacts
21:07 Training materials that update themselves
22:40 The 30% vs 300% organization distinction
24:50 Point solution vs infrastructure: e-commerce example
26:05 Five questions leaders should ask
27:43 What if visualization were instant and programmatic?
29:00 Are you treating visual AI as department tool or infrastructure?
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š Transcript
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Top Comments
@floriankrusch5014
There is a big difference between image generation and image interpretation
24 likes
@brjohow
If you're so good with nano banana, you might want to show the people in your videos, how you use it and the things you use it for
3 likes
@rudyrmn3043
This use case is a
gem for me as a csm !
3 likes
@deabyam
I use images to feed errors or documentation back into IDE with a short voice description i have found productive ! A picture says a thousand words
3 likes
@CraigHollabaugh
Your recent pieces have make me think. Thanks.
1 likes
@softcoda
Very deep insights. Thanks for sharing
@mattbrown2191
Recommendation for future videos, it would be great if you have links to any and tools that you reference within your video for ease to be able to access and evaluate them ourselves. Great job on the content!
@The_Streetlight_Newsletter
Interesting take.
6 likes
@medwsc123
Useful and relevant information from your channel š
1 likes
@matt.stevick
4:12 100%
its exciting as we await the discoveries from our meticulously documented human data
3 likes
@AlexisJemus
Funny to see this from my Gemini deep research while watching your video :
"Creating visuals for the report...
Words are great, but sometimes visuals tell a better story. So, Iām thinking about how to illustrate the most important points."
1 likes
@brjohow
Flywheel a word that gets used by someone who just doesn't understand the business that they're trying to automate and then they have to use this word flywheel like it's magic. Also, it's fun to hear about this visual superiority not months after the Sam Altman had an embarrassingly crap chart that was generated that had the accesses labeled long
@ItsWesSmithYoda
I rarely understand 50% but im inspired š
8 likes
@stefangunnarsson1189
Thank you Nate
@PencilParasite
In fact, it is difficult to imagine NB inside a production line that controls product uniformity, interesting...