Let me be honest with you
I am a fashion designer. And for years, I was part of the problem.
Every season, I produced samples. A lot of them.
Colorways, fits, variations. Garment after garment prepared for buyer meetings that might lead to an order (or might not).
And then it would happen.
A buyer would look at a beautifully made ivory jacket and say the words that still make me wince:
“Can you make me that in black?”
Black.
As if the idea couldn’t exist without being physically produced. As if imagination wasn’t enough.
But in our industry, imagination has never been enough. The sample has to be made, shipped, handled and more often than not, discarded.
That cycle is exactly why I built my AI agency.
Because once you really look at the numbers behind it, it becomes impossible to ignore.
The industry we love is one of the most wasteful on earth
The fashion industry produces 92 million tonnes of textile waste every year.
That’s the equivalent of a garbage truck full of textiles being landfilled or burned every single second.
And it’s accelerating.
Global textile waste reached 120 million metric tons in 2024, and projections show it could exceed 150 million tons annually by 2030, with nearly 80% ending up landfilled or incinerated.
Overproduction alone accounts for 10–40% more garments than the market actually demands.
And the environmental cost goes far beyond waste:
- Fashion produces more carbon emissions than international flights and maritime shipping combined
- It is the second-largest consumer of water globally
- 87% of total fiber input used for clothing is ultimately discarded
- Less than 1% is recycled into new garments
But here’s what the industry rarely says out loud:
A massive portion of this waste happens before a customer ever touches the product.
It happens in the sample room, in buyer meetings, and every time someone says: “Can I see it in black?”
The sample problem nobody talks about
When you break down the traditional sampling process, it’s hard to justify.
Manual sampling typically requires 10 to 15 physical prototypes per style.
Each one costs between $50 and $200 and takes 2 to 4 weeks to produce.
Around 60% of those samples are never used.
For a 50-style collection, that can mean up to 500 physical samples. All requiring fabric, labor, shipping, and packaging.
Most of them will never be worn.
Many will never even be seen beyond a showroom.
And almost all of them end up as waste.
That’s before colorway iterations even begin.
On top of that, 15% of fabric is lost on the cutting floor alone during production.
That’s waste built directly into the process before overproduction, returns, or deadstock even enter the equation.
AI doesn’t just make this faster. It makes it unnecessary.
This is where the conversation around AI often gets oversimplified.
It’s not just about speed.
It’s about removing entire layers of waste from the system.
Virtual prototyping can reduce physical samples by up to 50%.
Designers can simulate garments in 3D, dramatically cutting down on fabric use and production cycles.
Machine learning models analyze historical sales and consumer behavior to refine designs before they’re produced, minimizing excess and improving accuracy.
And that moment “Can you show it in black?” completely changes.
Instead of weeks, it takes seconds.
A photorealistic render appears instantly, showing exactly how the garment will look, how the fabric will drape, how the color behaves under different lighting conditions.
No sample, no shipping, no waste.
Designers can test multiple materials, fiber compositions, and cuts before committing to a single physical prototype.
Waste isn’t just reduced, it’s avoided at the concept stage.
In one case, a manufacturer implementing AI-driven pattern optimization and virtual sampling reduced fabric waste from 15% to 2% per production run.
At the same time:
- Production speed doubled
- Margins increased by 18%
That’s not an incremental improvement.
That’s a completely different operating model.
Why I built this agency
I didn’t start an AI agency because AI is trending.
I started it because I’ve stood in too many sample rooms watching perfectly good fabric get cut into garments that would never exist beyond that space.
Because I’ve sat across from buyers who needed physical validation for ideas that were already fully formed.
Because the waste in this industry isn’t accidental, it’s structural. It’s built into the way we’ve always worked.
AI challenges that structure.
It turns a six-week request into a sixty-second response.
It allows smaller brands (without massive sampling budgets) to present complete, high-quality collections.
It removes the need for ideas to become physical waste before being validated.
The fashion industry has historically lagged behind in both workers’ rights and environmental responsibility.
AI isn’t a perfect solution.
But it is the most practical tool I’ve seen in over twenty years to start changing the numbers in a meaningful way.
I was part of the system that created those numbers.
I’m not interested in continuing that.
What comes next
This isn’t about replacing creativity.
It’s about removing friction, waste, and outdated processes so creativity can actually scale responsibly.
If you’re a designer, brand, or buyer trying to understand what this looks like in practice, this is exactly what we’re building.
And this is what the AIgency is for.
