Viewed in McKinsey & Company Insights
Most companies have access to the same tools.
Same models. Same platforms. Same promises.
Yet the outcomes are wildly different.
The gap is not technology.
It’s how companies use it and how fast they move.
The leaders aren’t doing more experiments.
They’re rewiring how the business works.
AI is not a side project.
It reshapes products, operations, decisions, and speed.
And you can often see it in the org chart.
AI and data roles move closer to the CEO and closer to the business.
What sets them apart
They don’t spread efforts across dozens of use cases.
They go deep where it matters.
→ A few critical business levers
(pricing, supply chain, customer acquisition…)
→ A few big bets
that move revenue, cost, or risk
And they build real capabilities behind them.
They also shift ownership.
This is not driven by IT. Business leaders own technology, data, and AI outcomes.
They define the ambition.
They drive delivery.
They are accountable for results.
Then comes the real differentiator: speed
Same technology. Different pace.
Winning organizations:
- Move from idea → decision → execution faster
- Reallocate resources quickly
- Put tech and data talent inside business teams
The result: shorter cycles, faster learning, better outcomes
They simplify what slows others down.
Data is usable, not buried.
Platforms are reusable, not rebuilt.
AI is designed to scale from day one.
And critically: If it’s not adopted, it doesn’t exist.
One more thing
This is not just a tech shift. It’s a people shift.
Fewer layers.
More ownership.
Higher expectations.
Leaders who combine business and technology thinking are pulling ahead.
Bottom line
AI will not reward the companies that experiment the most.
It will reward those who focus, move fast, and build real capabilities.
Thanks to Alex Singla, Alexander Sukharevsky, Kate Smaje, Eric Lamarre, and Robert Levin, Senior Partners at McKinsey & Company, for their inspiring insights.
