Meaning is the New Game
The why and how
Hi friend,
Good to see you here.
It’s been four years since AI made its grand entrance, and we’ve already seen tremendous shifts in pretty much every sector.
In my last story, I covered the recent seismic waves that OpenClaw and Claude Code / CoWork have unleashed onto the SaaS-based software sector.
The impact, of course, is much broader.
These days, pretty much for any human activity you can think of, “there’s an AI for it.”
From coding, writing, researching, video-making, infographic-visualizing, photo-creating, to website developing, and the list goes on and on.
Human agency is getting eroded from experimenting with AI’s super capabilities, to gradually adopting and finally outsourcing activities to AI agents.
McKinsey and Deloitte indicate that 88% of large organizations now use AI in at least one business function.
At this rate, how would the world look 30 years from now?
Here is an attempt to visualize what a friendly future coffee meeting would look like:
Just looking at this list, where each activity used to require a specific job title of a programmer, analyst, videographer, photographer, graphic designer, or web developer.
All of a sudden, we reached a point where this reality descends:
The Bar for Production Falls — The Bar for Meaning Rises
Anyone can produce something now.
But not everyone can move an audience.
That’s where human craft still matters.
What will you do to make your next creation unforgettable?
Looking to boost your AI storytelling skills to max your brand’s impact?
Book a call!
Be a Meaning Builder
Because it’s so easy to produce anything today, the “AI rising tide” is bound to lift all creative boats; new and more refined design sensibilities will emerge.
Early signs include the emergence of the term AI slop to single out low-quality, meaning-lacking, high-volume, AI-generated digital content—such as fake images, articles, and videos—designed for quick, often deceptive, engagement or profit.
We’ll see more attempts to classify the quality of AI-generated content as volumes continue to increase.
To ensure your stories are meaningful, you need to attack them from both ends of the process:
Beginning: Your prompt should reflect your initial curation of what you’re trying to accomplish based on solid customer research foundations. Be as prescriptive as possible.
End: Iterate several times on AI’s outputs, modifying until you have ensured your brand voice, intent, and personal touch are clearly visible.
Why?
When every army on the attention battlefield is armed with the same weapons and firepower, the battle will be decided by strategy and skill.
YOUR STORY!
This is where the initial attention is transformed into empathy, and over time to trust and action.
This visual pretty much sums it up:
Over to you!
How are you keeping a meaningful line of communication with your audience at scale?
While you’re at it, complement your digital strategy by occasionally inviting your best customer/vendor/partner for lunch.
Giving your full attention to someone else, IRL, is still the ultimate experience for building meaningful relationships.
See you next time!
Best,
- Shlomi
Shlomi Ron
Founder, Visual Storytelling Institute
story > visual > emotion > experience
shlomi@visualstorytell.com
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