Only 1% of companies say their AI investments have reached full maturity.
That’s despite 92% planning to increase their AI spend.
(Source: McKinsey)
It’s not a tech problem. It’s an execution one.
What we’re seeing isn’t just a race to experiment, it’s a race to scale.
Because early movers are already seeing the flywheel effect:
Small wins → bigger buy-in → more data → better results → even faster progress.
The rest? Stuck in pilot purgatory. Trying to prove value.
This year, the real differentiator might not be whether you have AI…
…but whether you’ve figured out how to embed or scale it.
What’s the one thing holding back your AI progress?
