WSJ Tech News Briefing:

TNB Tech Minute: AI Boom Is Reshaping Commercial Real Estate, Per Census Data
Date: December 23, 2025
Host: Julie Chang

Overview

This brief episode examines how the artificial intelligence (AI) boom is profoundly influencing commercial real estate, employment within the marketing industry, and the future of infrastructure. It also touches on a significant acquisition in the automotive tech sector, and features expert commentary on the rising energy demands driven by AI.

Key Discussion Points & Insights

1. AI's Impact on Commercial Real Estate

[00:28]

Data center construction spending is rapidly overtaking office building construction, a shift supported by recent U.S. Census Bureau data.
Commercial real estate investors are increasingly exposed to risk if AI-driven demand for data centers falters, but current returns remain robust.
- “Data centers yielded an 11.2% return last year, higher than every other sector other than manufactured housing.” – Julie Chang [00:44]

Stats Highlighted

Data center investment returns: 11.2% in the past year, per the National Council of Real Estate Investment Fiduciaries.

2. AI-Driven Layoffs in Marketing

[01:12]

The marketing industry is poised for significant layoffs due to AI integration, with large firms leading the trend.
A survey by Spencer Stewart found:
- 36% of marketing leaders expect to reduce headcount over the next two years by using AI or cutting redundancies.
- Among marketing leaders at companies with $20B+ revenue, nearly 50% expect staff reductions, and about a third have already implemented AI-induced layoffs this year.

“Layoffs are expected across the marketing industry due to AI… almost half of respondents [at $20B+ revenue firms] saying they expect to cut staff, and about a third said they already did so this year.”
— Julie Chang [01:19]

Despite job cuts, most CEOs haven’t yet realized significant returns or savings from AI investments, according to a separate survey by Teneo.

3. Samsung’s Acquisition in Advanced Driver Assistance

[01:46]

Samsung Electronics is acquiring the Advanced Driver Assistance Systems (ADAS) business from Germany’s ZF Group.
This acquisition will be executed through Samsung’s Harman International subsidiary for approximately $1.76 billion.
Strategic intent: To enhance “safer, more intelligent and more intuitive in-vehicle experiences.”
The deal is set to close in the second half of next year, pending regulatory approval.

4. AI’s Energy Demands & Infrastructure Challenges

[02:20]

Expert Insights: Veren Marja of McKinsey discusses the infrastructure challenges accompanying AI expansion.
- “Our research shows that AI data center power could rise by 160% by 2030, and if you just put that within the US context, the US has increased grid capacity by 1 to 2%, and the need to do that at a rate of 3 to 5% is what's going to be needed.” — Veren Marja (McKinsey) [03:01]
- The expansion of energy capacity required to support AI has been described as “an absolutely massive undertaking given we haven't done it in the last 20 years.”
- Companies must approach scaling as both a technology and a system challenge, investing across compute, thermal, networking, and power domains.

Notable Quotes & Memorable Moments

On risk and return in real estate:
“So far, though, the reward outweighs the risk. Per the National Council of Real Estate Investment Fiduciaries, data centers yielded an 11.2% return last year, higher than every other sector other than manufactured housing.”
— Julie Chang [00:44]
On the scale of transformation needed for AI infrastructure:
“The need to do that at a rate of 3 to 5% [increase in grid capacity] is what's going to be needed. And that is just an absolutely massive undertaking given we haven't done it in the last 20 years.”
— Veren Marja (McKinsey) [03:11]
On the challenge of AI transformation:
“Companies that will be successful will treat AI scale as both a technology challenge and a system level challenge. You're going to have to invest in efficiency across compute, thermal, networking and power.”
— Veren Marja (McKinsey) [03:25]

Key Timestamps

00:28 — AI-driven data center boom overtakes office construction
01:12 — Marketing layoffs and AI-driven workforce changes
01:46 — Samsung’s acquisition of ZF’s ADAS business
02:20 — McKinsey commentary on AI energy demands and infrastructure

Summary Takeaway

This episode of WSJ Tech News Briefing succinctly captures the ripple effects of the AI surge—from shifting landscapes in commercial real estate and workforce restructuring in marketing, to major M&A action in automotive tech. The looming challenge: ensuring infrastructure, especially power grids, can keep up with AI’s exponential energy appetite, a feat industry experts call one of the decade’s largest undertakings.

Transcript

A (0:01)

The next frontier in artificial intelligence isn't just better models, it's better infrastructure. Join McKinsey at the break to hear why tomorrow's AI winners aren't focused only on the next big algorithms, but also on what's powering them. Here's your afternoon TNB Tech minute for Tuesday, December 23rd. I'm Julie Chang for the Wall Street Journal. Spending on data center construction looks poised to surpass office building construction as soon as next year, according to U.S. census Bure Bureau data. That's leaving commercial real estate investors vulnerable to any potential correction in AI that disrupts demand for data centers. So far, though, the reward outweighs the risk. Per the National Council of Real Estate Investment Fiduciaries, data centers yielded an 11.2% return last year, higher than every other sector other than manufactured housing. Meanwhile, layoffs are expected across the marketing industry due to AI. A new survey from executive search firm Spencer Stewart found 36% of marketing leaders expect to reduce headcount over the next two years by utilizing AI or eliminating redundancies at larger companies. With $20 billion or more in revenue. The outlook was grimmer, with almost half of respondents saying they expect to cut staff, and about a third said they already did so this year. Still, most CEOs have yet to see the desired returns or savings from their AI spending sprees, according to another poll by Advis firm Teno of more than 350 CEOs at public companies. And Samsung Electronics plans to acquire the advanced driver assistance systems business of Germany's ZF Group. Stepping up its push into vehicle components, Samsung announced today that its auto component and audio subsidiary Harman International will take over ZF's ADAS unit for about $1.76 billion in order to deliver safer, more intelligent and more intuitive in vehicle experiences. The acquisition is expected to close by the second half of next year, pending regulatory approvals. And a quick programming note before we go. We'll be off tomorrow and Thursday for the holidays, but we'll be back Friday morning with another tech minute. The energy demands of AI are staggering, and they're only growing. Here's Veren Marja of McKinsey again on what it will take to power the AI revolution. Our research shows that AI data center power could rise by 160% by 2030, and if you just put that within the US context, the US has increased grid capacity by 1 to 2%, and the need to do that at a rate of 3 to 5% is what's going to be needed. And that is just an absolutely massive undertaking given we haven't done it in the last 20 years. Companies that will be successful will treat AI scale as both a technology challenge and a system level challenge. You're going to have to invest in efficiency across compute, thermal, networking and power. And CES is a fantastic forum where companies can get together and really try and solve some of these toughest challenges. Discover how McKinsey is redefining AI transformation at CES and driving innovation and impact across industries@McKinsey.com CES custom content from WSJ is a unit of the Wall Street Journal Advertising Department. The Wall Street Journal news Organization was not involved in the creation of.