---
title: "McKinsey Just Dropped Their 2025 AI Report — Here’s What It Really Means - In Parallel"
description: "AI is everywhere — 88% of companies now use it in at least one business function.But here’s the catch: 67% are still stuck in pilot mode. McKinsey calls out a widening gap between AI activity and AI impact."
url: https://www.in-parallel.com/insight/mckinsey-just-dropped-their-2025-ai-report-here-s-what-it-really-means
---

Opinion

# McKinsey Just Dropped Their 2025 AI Report — Here’s What It Really Means

90% of companies “use AI,” but only a handful are seeing real business results. The difference? Routines — not hype.

McKinsey Just Dropped Their 2025 AI Report — Here’s What It Really Means

Published

November 10, 2025

Kristian Luoma

Co-founder, CPO

kristian@in-parallel.com

[LinkedIn](https://www.linkedin.com/in/kluoma/)

Contents

### **The AI Reality Check**

McKinsey’s _State of AI 2025_ report is clear: AI is everywhere — **88% of organizations now use AI in at least one business function**, up from just 20% in 2017.

But behind the headlines, there’s a quiet truth: **most of it isn’t working.**

- **67%** of organizations are still stuck in “pilot mode.”
- **62%** are experimenting with AI agents, but only **23%** have scaled them.
- **64%** say AI drives innovation, yet only **39%** see measurable profit impact.
- **51%** have already seen AI backfire, often due to bad data or unclear processes.

AI adoption is mainstream — but transformation isn’t.

Most companies are still in what McKinsey calls _“corporate AI theater.”_

For the full McKinsey report, please see: [https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai](https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai)

### **What the Leaders Do Differently**

McKinsey identifies a small group of outperformers — roughly **6% of organizations** — that are pulling ahead.

They’re not winning because of better models. They’re winning because of **better systems.**

1. **They rebuild workflows, not just automate them.** They don’t tack AI onto old processes. They redesign how work gets done from the ground up.
2. **They think in growth loops, not tasks.** The goal isn’t just efficiency — it’s compounding learning and better decisions.
3. **They fund AI like strategy, not side projects.** No endless pilots. They commit, iterate, and operationalize.
4. **Their leaders are hands-on.** When executives personally use AI in their own routines, they’re 3× more likely to scale it successfully.

### **Why Routines Are the Missing Link**

At **In Parallel**, we believe the real bridge between AI and impact isn’t technology — it’s **routines**.

Work shouldn’t depend on memory or willpower. Most managers spend their days trying to remember what was said, who’s doing what, and whether anything actually happened after the meeting. Context lives across Slack threads, docs, and calendars — and by midweek, everyone’s already rebuilding the same picture of reality.

That’s not a lack of discipline. It’s that **management itself hasn’t evolved.**

AI routines change that.

They **connect AI to your existing ways of working** — your meetings, projects, and tools — and quietly create the connective tissue your organization is missing.

Before a meeting, AI routines surface the key updates and context you need. During, they capture decisions and next steps automatically. After, they follow up, update plans, and keep everyone aligned — without another status meeting.

Every routine compounds what your team learns. It builds shared memory. It reduces mental load. It transforms coordination from chaos into clarity.

That’s how AI stops being a side experiment — and starts becoming a **system that runs your business.**

### **From AI Theater to AI Rhythm**

The McKinsey data shows that even as AI agents become mainstream, few companies have rewired how work actually flows.

Routines are how you get there. They turn meetings into momentum. They let leaders lead instead of chase updates. They make AI something your team _feels_ — not just something the CIO reports.

It’s not about a transcriber that remembers what was said. It’s about a management system that remembers what matters — the decisions, dependencies, and progress that drive your strategy forward.

### **The Takeaway**

AI adoption is easy. AI transformation is hard. Routines make it doable.

They give teams rhythm, not just automation. They connect AI to reality — the messy, human, collaborative work that actually makes companies move.

If you’re ready to move from pilots to performance, start with a routine.

👉 **Let’s design your first AI routine.** [Book a 20-minute conversation →](https://in-parallel.com/)

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