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Many companies are struggling to scale their AI deployments or even move them past the pilot stage. Often the problem isn't technology, but organizational misalignment around goals, processes and incentives. At the break, join Caroline Roach, senior Partner, IBM Consulting, to learn why.
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Here's your afternoon TNB Tech minute for Friday, May 29th. I'm Julie Chang for the Wall Street Journal. Venture capital firms in Silicon Valley are shifting investments from software to physical technologies and materials as they grow, desperate for that can survive the AI reckoning. Investors historically focused on firms like Snap and Uber are now targeting AI infrastructure like chips, power and manufacturing, as well as physical AI such as autonomous robotics. According to PitchBook data, venture capital investment in global robotics and physical AI grew to $26 billion last year, up from $4.2 billion in 2019. And this year, companies in those sectors have already raised more than $23 billion as of May 20. Chinese automaker BYD unveiled an autonomous driving chip and said it has already entered mass production. BYD said it aims to invest roughly $14.75 billion in intelligent technology R&D over the next three years. The launch marks the automaker's latest effort to showcase its edge in technology as growth in China's EV market slows and pricing pressure weighs on profitability across the sector. Chinese EV makers including Nio Li Auto and Xpeng, have also been developing their own autonomous driving chips. Finally, shares of space companies, which have been surging in recent weeks, fell today following Thursday night's Blue Origin rocket explosion. Shares tied to AST Space Mobile, which is building a cellular broadband network in space and has a launch agreement with Blue Origin, closed 14%. Voyager Technologies, which is helping develop a commercial space station with NASA funding, fell over 4%. Shares of Space exploration company Intuitive Machines also dropped more than 4%. And Rocket Lab, which is working to compete with Blue Origin and SpaceX, dropped 3%. And that's your TMB tech minutes. Check back Monday for another quick tech update.
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Scaling AI successfully requires more than the right technology. Here again is Caroline Roach, senior partner, IBM Consulting.
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The biggest that we were talking about a year ago is what model to use, and the biggest thing that I'm talking about with my clients now is how do I drive change within my organization?
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Companies able to identify correct and then avoid misalignment will be best positioned to deliver meaningful business value from AI.
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The organizations that are the most successful set very clear targets and have several priorities that are very clear across the enterprise. The technology is really good, but if you're not changing your organizational alignment not incentivizing your people correctly, not looking at workflows, you're not going to see real value with it.
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Visit IBM.com think leadership to learn how building organizational alignment can help deliver AI deployments that scale and drive growth.
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Date: May 29, 2026
Host: Julie Chang, The Wall Street Journal
This episode of the TNB Tech Minute spotlights a pivotal shift in Silicon Valley venture capital (VC) strategy: a move away from traditional software investments toward physical technologies, such as chips, manufacturing, robotics, and AI hardware. Julie Chang summarizes new investment trends, major industry moves, and recent market shakeups. The episode also briefly touches on organizational challenges for companies scaling AI, featuring insights from Caroline Roach, Senior Partner at IBM Consulting.
[00:16 – 01:10]
Julie Chang [00:25]:
“Venture capital firms in Silicon Valley are shifting investments from software to physical technologies and materials as they grow desperate for bets that can survive the AI reckoning.”
[01:10 – 01:42]
[01:42 – 02:10]
[02:20 – 03:06]
Caroline Roach [02:28]:
“The biggest thing that I’m talking about with my clients now is how do I drive change within my organization?”
Caroline Roach [02:45]:
“The organizations that are the most successful set very clear targets and have several priorities that are very clear across the enterprise. The technology is really good, but if you’re not changing your organizational alignment, not incentivizing your people correctly, not looking at workflows, you’re not going to see real value with it.”
This episode offers a snapshot of changing VC sentiment in tech and the crucial, often-overlooked importance of organizational alignment in realizing AI's business value. For tech industry watchers and strategists, these themes hint at the next frontiers in both investment and innovation management.