95% of GenAI Projects Are Failing

95% of GenAI Projects Are Failing
(And why the survivors will be the ones building real businesses)

The Great AI Rush

In 2023, “AI” became the new “dot-com.” Every company wanted one. Every founder suddenly had a “copilot.” And every investor deck had the same promise: “Revolutionizing [insert industry] with GenAI.”

Two years later, the numbers are sobering.
MIT’s State of AI in Business 2025 report found that 95% of generative AI pilots fail to deliver measurable ROI. Another global survey from NTT DATA put the number between 70% and 85%. Most GenAI efforts never make it beyond a flashy demo or an internal pilot.

The reasons are always the same:

• Over-hyped expectations.
• Weak integration with real workflows.
• Poor data quality and feedback loops.
• No clear problem statement.
• And most fatally — no business model.

The result? Millions spent. Momentum lost. Teams burned out.

AI Startups That Promised the World — and Collapsed

It’s not theory anymore. We’ve already seen the fallout begin.

Once valued at over a billion dollars, Builder.ai claimed it could let anyone create apps using “AI that builds software.” In reality, much of the work was outsourced to human developers. By mid-2025, the company filed for insolvency after failing to deliver scalable automation and running out of cash. A textbook case of promise over product.

Hailed as the next iPhone moment, Humane’s AI Pin promised a screen-free, voice-driven future. It raised hundreds of millions, only to ship a device plagued by overheating, lag, and basic usability issues. Within a year, the company shut down — another symbol of how hype outpaced reality.

Beyond these headlines, thousands of enterprise “AI initiatives” have died quietly. Tools that nobody used. Dashboards that didn’t deliver. Chatbots that never learned. Companies spent months training models only to realize… no one cared.

The pattern repeats: the tech was impressive, but the use case wasn’t.

When the Dust Settles, Real Businesses Will Shine Again

At Yori, we saw this storm coming. And we made a conscious decision: don’t chase the noise.

We’re not here to sprinkle AI on top of our product. We’re here to embed intelligence where it actually matters — in routing, dispatch, pricing, fraud detection, and partner operations.
The kind of intelligence that doesn’t show off — it shows results.

We believe the next wave of winners will not be “AI startups.”
They’ll be real businesses that use AI quietly, efficiently, and meaningfully — to cut costs, improve margins, and scale sustainably.

Our Philosophy at Yori: Fearless, Visionary, Grounded

1. Problem-first, not AI-first.
   We don’t build features because they sound futuristic. We build what simplifies a user’s life or saves a partner’s minute.
2. Deep vertical expertise.
   We operate in real, physical industries — mobility, logistics, local services. These aren’t playgrounds for experimentation. They’re battlefields of precision, timing, and efficiency. AI here must earn its keep.
3. Continuous learning, not one-off models.
   Our systems evolve with every interaction. They adapt, measure, and self-improve. Static AI dies fast; adaptive AI survives.
4. Integration over imitation.
   We don’t build “wrappers” or gimmicks. Every intelligent system we create becomes a part of the workflow — invisible but indispensable.
5. Data discipline and humility.
   No shortcuts. No buzzwords. Just relentless iteration, measurable results, and honesty when things don’t work.

The Reckoning Has Begun

Right now, the AI space feels crowded. But give it a year.
When the investor dust settles and the marketing noise fades, the 95% built on hype will disappear. The 5% that remain will be those that treated AI not as a badge, but as a backbone.

That’s where Yori stands — fearless, visionary, and unshaken.
We’re not betting on trends. We’re building for the decade that comes after the hype.

Because when the noise dies down, only the builders will remain.
And real businesses will shine again.