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• 开场白：

Good morning, friends!  Today is Thursday, April 18th.

I almost bailed on this week’s episode.  Long travel and bad weather are making me much less motivated. So, today’s episode is going to be a short one. I feel like the last one was a bit too long. I am skipping the translation part this time. Each section of the article will be followed by a brief description. If you need more detailed translation, please refer to the content in GHZ. The QR code is in the show notes.

• 文章：

In today’s episode,  I will continue on the topic of generative AI’s development in business.  AI is the hottest topic in business right now. But its adoption has been slow, at least much slower than many have expected. Today’s article looked at how AI has changed companies’ hiring practice.

Generative AI Is Changing the Hiring Calculus at These Companies - WSJ

Introduction:

Generative AI is reshaping the conversation around hiring at many companies as they realize that one way the pricey technology will pay off is if it helps them employ fewer people to do more work.

• Portend: be a sign or warning that (something, especially something momentous or calamitous) is likely to happen. 预兆

At KeyBank:

“We’re looking at a lot of interesting tools and they have a lot of promise—but then when you look at the cost of the tool you say, ‘Am I really going to realize that productivity internally or am I just going to increase my technology cost?’” said KeyBank CIO Amy Brady.

At Oshkosh:

Anupam Khare, senior vice president and CIO of specialty vehicle maker Oshkosh Corp., also sees generative AI changing the workforce conversation, with employee productivity gains reducing the need to hire

At Nationwide Insurance:

At insurance company Nationwide Chief Technology Officer Jim Fowler has guided the creation of a tool that analyzes the cost of a given generative AI use case across several different available proprietary large language models.

• Proprietary:relating to an owner or ownership. 所有权