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Countless Companies invest in AI tools without tying them to tangible business outcomes. Join McKinsey later to learn how leaders rewire their organizations for sustained impact and value.
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Here's your afternoon TNB Tech minute for Wednesday, July 22nd. I'm Julie Chang for the Wall Street Journal. Amazon has cut jobs in parts of its artificial general intelligence unit, marking the latest targeted workforce reduction at a major tech company as the industry continues to pour billions of dollars into AI. The company didn't disclose how many employees were affected. An Amazon spokesperson said building large AI models remains a priority for the business, but that the cuts are part of an effort to sharpen its focus on initiatives that matter most for customers. Earlier this year, Amazon announced broad corporate layoffs affecting about 16,000 employees as CEO Andy Jassy pushed to streamline the company while accelerating AI investments in earnings. Tesla's free cash flow fell for the first time in more than two years as the EV maker supercharged spending with $5.8 billion in capital expenditures to expand its footprint in artificial intelligence and robotics. The company reported negative free cash flow of $1.1 billion for the second quarter. Revenue grew to $28 billion, up 26% from the year before. Revenue from its Automotive business increased 23% from the year prior. Tesla's energy business revenue was $3 billion for the quarter, up 13% from the year before. Tesla's latest results come as the EV industry navigates the downturn in US Sales as well as continued competition from Chinese automakers. And in its second quarter earnings today, IBM confirmed the disappointing results that it previewed last week in a rare move that erased about $67 billion in stock. IBM earned $2.2 billion on revenue of $17.2 billion in the second quarter. The company's infrastructure revenue of $3.8 billion was down 7% from a year earlier. That unit was pulled down by lower than expected sales of data center mainframes, which fell 42%. IBM warned investors that its full year revenue growth will be lower than previously forecast, now expecting a range of 4 to 5%. But it still expects full year free cash flow to increase by about $1 billion from last year. And that's your TMB Tech minutes. Check back in the morning for another quick tech update.
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AI transformation is more than a tech initiative. It requires a broader rewiring of human skills and ways of working. Here's Dan Swan, senior partner at McKinsey
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one of the biggest unlocks we see is the human being capabilities around the technology, whereas before you may need to be really good at analysis. Now the skill might be how do prompt these tools to get the right answers and outcomes. And so for us, it's a really big priority to help companies to understand how do you need to change the operating model of your organization and change the underlying capabilities of the people that are interacting with the technology. And when you see that all humming together, it can be really, really Special.
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Discover how McKinsey helps organizations Rewire to out compete with AI@McKinsey.com TechMoves this content
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was created by Custom Content from WSJ, a unit of the Wall Street Journal. Advertising.
Date: July 22, 2026
Host: Julie Chang
This Tech Minute episode delivers a succinct but information-rich update on significant recent developments in the tech industry, with a focus on Amazon’s job cuts within its artificial general intelligence (AGI) unit. The news is contextualized within broader industry trends, including major financial updates from both Tesla and IBM, illustrating how leading tech companies are grappling with the costs and shifting priorities of rapid AI development.
[00:15]
Notable Quote:
"Building large AI models remains a priority for the business, but these cuts are part of an effort to sharpen its focus on initiatives that matter most for customers." —Amazon spokesperson [paraphrased by Julie Chang, 00:23]
[00:55]
Notable Quote:
"Tesla’s latest results come as the EV industry navigates the downturn in US sales as well as continued competition from Chinese automakers." —Julie Chang [01:40]
[01:50]
[02:39-03:18]
Notable Quote:
"One of the biggest unlocks we see is the human being capabilities around the technology... Now the skill might be: How do you prompt these tools to get the right answers and outcomes?" —Dan Swan, McKinsey [02:48]
"For us, it's a really big priority to help companies to understand how do you need to change the operating model of your organization and change the underlying capabilities of the people that are interacting with that technology. And when you see that all humming together, it can be really, really special." —Dan Swan [03:06]
The episode maintains a brisk, factual, and business-like tone, favoring concise reportage and expert commentary over speculation or editorializing.
This Tech Minute is a compact but insightful overview, highlighting major workforce and financial pivots as the world’s largest tech companies race to harness AI’s potential. The episode closes with a pointed reminder that true AI transformation is as much about retraining people as it is about retooling technology.