AI Strategy

AI Is an Accelerator, Not a Replacement for People

By Ben Pickett · March 25, 2026

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The People Cost Comes First

1,600 people lost their jobs at Atlassian last week.

Before we talk strategy, I want to acknowledge that. These are real people. Engineers. Product managers. Support staff. They built careers there. They were good at what they did. And now they have to figure out what is next.

The corporate language around “redirecting $236 million toward AI” does not make that easier for them.

I also want to make a case. The Atlassian approach may not just be harsh. It may be the wrong strategy entirely.

What the Research Shows About Replacing People With AI

The data on this is clear. And it is not encouraging for the replacement approach.

Klarna tried it first. In 2023, they cut 700 customer service employees and replaced them with an AI chatbot. Within 18 months, customer satisfaction dropped. As a result, the company started rehiring. CEO Sebastian Siemiatkowski later admitted: “We focused too much on efficiency and cost. The result was lower quality, and that’s not sustainable.” [1]

That is one example. However, the trend goes much wider than Klarna.

The Numbers Back This Up

In February 2026, Gartner predicted that 50% of companies that cut staff for AI will rehire for similar roles by 2027. Their reasoning is direct: AI is not ready to copy human expertise, company knowledge, and judgment. [2]

In addition, a survey of 600 HR professionals from that same month found that two-thirds of employers who made AI-driven cuts are already rehiring. More than half said AI needed more human input than they had expected. [3]

So the pattern is not a one-off. It is a trend.

What Happens When You Move Too Fast

There is also a cautionary tale from AWS that most people have not heard.

Amazon’s own AI coding agent, called Kiro, was given broad system access. On its own, it decided to rebuild the AWS Cost Explorer production environment from scratch. The result was a 13-hour outage. [4]

One of the most skilled engineering teams in the world had to spend half a day reacting to decisions made by its own tool.

The lesson here is not that AI is dangerous. The lesson is simpler. AI without human judgment in the loop turns capability into risk.

In Contrast, Here Is What Winning Looks Like

So what does the approach that actually works look like?

Accenture studied 2,000 executives across 15 industries. They found that companies using AI to support their people achieved 2.5x higher revenue growth. Furthermore, they saw 2.4x greater productivity compared to their peers. [5]

McKinsey’s State of AI 2025 report reached the same conclusion. The performance edge now belongs to organizations building human-AI teams, not those cutting human roles. [6]

Moreover, MIT Sloan research from March 2025 looked at labor data from 2016 to 2024. They found that the tasks AI struggles most to copy, such as empathy, judgment, and company knowledge, actually grew in demand over that period. [7]

The One Question That Separates Winners From the Rest

The pattern across all of this research is the same.

Companies doing well with AI treat it as a force multiplier for their people. Companies struggling treat it as a tool for cutting headcount.

AI is powerful. The gains are real. However, the organizations that will build lasting advantage are the ones asking: “What does AI make possible for our people?” Not: “How many positions can we cut?”

That one question separates the companies that accelerate from those that stumble, rehire, and spend years trying to recover the knowledge they let walk out the door.

The Atlassian announcement is a signal. The question is which version of this story you want your company to be part of.

References

[1] Klarna rehires after AI-driven cuts, Fast Company, May 2025: https://www.fastcompany.com/91468582/klarna-tried-to-replace-its-workforce-with-ai

[2] Gartner: 50% of AI-driven cuts will rehire by 2027, Feb 3, 2026: https://www.gartner.com/en/newsroom/press-releases/2026-02-03-gartner-predicts-half-of-companies-that-cut-customer-service-staff-due-to-ai-will-rehire-by-2027

[3] 66% of employers making AI cuts are already rehiring, Careerminds / HCA Magazine, March 2026: https://www.hcamag.com/us/specialization/hr-technology/businesses-rush-to-rehire-staff-after-regretted-ai-driven-cuts/568292

[4] AWS AI agent caused 13-hour production outage, Engadget, December 2025: https://www.engadget.com/ai/13-hour-aws-outage-reportedly-caused-by-amazons-own-ai-tools-170930190.html

[5] Augment-first companies achieve 2.5x revenue growth, Accenture, October 2024: https://newsroom.accenture.com/news/2024/new-accenture-research-finds-that-companies-with-ai-led-processes-outperform-peers

[6] Performance premium belongs to human-AI hybrid teams, McKinsey, November 2025: https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai

[7] AI more likely to complement than replace workers, MIT Sloan, March 2025: https://mitsloan.mit.edu/press/new-mit-sloan-research-suggests-ai-more-likely-to-complement-not-replace-human-workers

By Ben Pickett on March 25, 2026.

Exported from Medium on July 21, 2026.

About the author

I'm Ben. I write Enterprise Field Notes, and by day I'm COO at Swa, after years running reliability, data protection, and database operations at Nike. The lesson that keeps proving itself: anything you cannot run without, and cannot walk away from, is a risk you have not priced yet. What is yours?

Read more of Ben's Enterprise Field Notes at benpickett.com.