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These companies are actually upskilling their workers for AI - here's how they do it

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Why This Matters

Upskilling workers in AI is crucial for the tech industry to adapt to rapid automation and ensure job security, especially at entry levels. Companies that prioritize structured training can better navigate economic shifts and maintain organizational health. This proactive approach benefits both consumers and the industry by fostering a more resilient and skilled workforce.

Key Takeaways

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ZDNET's key takeaways

Employees need structured training to prepare for AI.

Companies should prioritize upskilling over layoffs.

Entry-level employees are still crucial to organizational health.

At Semafor World Economy this week, I watched moderator after moderator ask CEOs whether they think AI will eliminate jobs. While most CEOs responded with the augmentation argument -- that AI is helping workers do more, not replacing them -- new jobs, especially at the entry level, are dwindling. At the same time, AI could perform competitively on many work tasks by 2029.

Beyond regulation, upskilling workers in AI is a key solution for mitigating these economic impacts. But where has upskilling been primarily a talking point, and where is it actually happening, meaningfully?

Also: This AI expert says the job apocalypse isn't coming, even if you're a coder - here's why

I spoke with several leaders at Semafor's summit about what they're doing to retrain their employees for a very different near future, and what they find works best.

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