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AI Is Creating New Winners and Losers. Here's How Smart Leaders Are Restructuring to Get Ahead.

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Key Takeaways Discover the hidden forces behind today’s tech layoffs — and what they signal about the shifting value of skills in the AI era.

Learn how forward-thinking leaders are reimagining roles and teams as intelligent systems reshape the future of work.

In 2025, the tech industry finds itself caught in a paradox. On one hand, we’re witnessing an AI gold rush. Companies are investing billions, betting that artificial intelligence will unlock the next wave of innovation. Meanwhile, over 22,000 tech workers have already been laid off this year — 16,000 in February alone.

Apparently, this signals a turning point in how companies structure teams and allocate talent. Intelligent systems are redefining how teams work, which skills are gaining value and where human roles still matter.

It’s not simply about whether AI is causing the layoffs. What matters is how firms respond. As layoffs accelerate across the tech industry, leaders now face a choice: restructure with purpose or fall behind.

What is driving the wave of job cuts

Tech industry layoffs have become a defining feature of AI-driven transformation since 2022, and the trend hasn’t slowed. Microsoft is cutting 9,000 jobs, following earlier rounds this year. HP is reducing its workforce by 2,000 people in October, expecting to save nearly $300 million. At first glance, these moves resemble classic downsizing during economic uncertainty.

But profitability doesn’t exempt companies from resetting. SAP, for example, despite strong performance, is letting go of up to 10,000 employees. The company is flattening management, consolidating teams and rebuilding platforms for AI-driven operations. Even younger firms are following suit. Scale AI, a major player in model training, recently laid off 200 employees and 500 contractors, just weeks after closing a $14.3 billion deal with Meta.

Look closer, and a pattern emerges. As firms rebuild around AI, roles tied to legacy systems, siloed processes or repetitive tasks are disappearing, making room for new capabilities, but not without disruption.

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