ai reality check
The AI gold rush is real. The results aren't.
Billions are being spent. Boards are demanding AI strategies. Vendors are promising transformation. But behind the headlines, most AI projects are quietly failing, not because the technology doesn't work, but because the systems around it do.
Here's what the data actually shows ↓
The AI Landscape Isn’t Pretty
Over 80% of AI projects fail to reach production.
AI spend is at an all time high. Yet 80% of projects never make it from pilot to production. The gap isn't technical. It's human and it's fixable.
88% OF AI PILOTS STALL
AI works in the lab, but most projects get stuck in “Pilot Purgatory”. Cool demos fail because they lack the engine to survive the real world.
Only 12% of organisations have "AI Ready" data.
Strong AI starts with strong data. Without it, your project is like building a skyscraper on a swamp, doomed before it starts.
only 5% of companies are deriving value from GEN AI.
95% of organisations deploying generative AI saw zero measurable return. Not low return. Zero.
Sources: Dataconomy, Iterathon, The Economic Times, Gartner, McKinsey, BCG, MIT’s Media Lab and multiple industry analyses.
Sound familiar? Let's talk about your AI project.
