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Microsoft CEO Satya Nadella speaks at a company event on artificial intelligence technologies in Jakarta, Indonesia, on April 30, 2024. Microsoft will invest $1.7 billion to build out cloud computing and artificial intelligence infrastructure in Indonesia, betting on Southeast Asia’s biggest economy to spur growth.

Dimas Ardian | Bloomberg | Getty Images

As Microsoft investors get ready for quarterly earnings this month, there’s one particular metric that’s become increasingly important: finance leases.

A finance lease lets a company pay for an asset over years, rather than all upfront. For companies like Microsoft that are building massive data centers to handle artificial intelligence workloads, shareholders have to get used to some big numbers.

In July, Microsoft told investors in a footnote of its annual report that finance leases that had not yet begun had soared to $108.4 billion, up $20.6 billion from the quarter before, and nearly $100 billion higher than two years earlier. Leases will commence between the 2025 and 2030 fiscal years, and will run for up to 20 years, the filing said.

Overall, Microsoft made $19 billion in capital expenditures in the latest quarter. The total, which includes assets acquired under finance leases, was up from $14 billion in the March quarter and was as much as Microsoft shelled out in the entire 2020 fiscal year.

“It’s an insane ramp,” said Charles Fitzgerald, a former Microsoft manager who writes about capital expenditures on his blog Platformonomics.

Investors will get further clarity on Microsoft’s lease finances when the company reports fiscal first-quarter results in late October. Executives at Microsoft and other top tech companies have approved higher capital expenditures in the past two years, often to boost their performance in generative AI.

Last month Microsoft confirmed its participation in a fund to back the development of data centers and the necessary energy infrastructure, mainly in the U.S. It also signed a 20-year power purchase agreement to restart a reactor at the Three Mile Island nuclear plant in Pennsylvania.

Caught off guard

Microsoft’s higher costs in the June quarter weren’t a surprise to those who heeded finance chief Amy Hood’s guidance from April. She said for the third time in a year that Microsoft was expecting capital expenditures to grow “materially.”

Still, RBC Capital Markets’ Rishi Jaluria was caught off guard by the finance lease figure.

“I’m always on the side that capital leases and capital expenditures are going to be way higher than people think, but they exceeded my own expectations,” Jaluria said. “Frankly, I’m trusting Microsoft here.” A capital lease is another term for a finance lease.

Microsoft has said it achieves the best performance and the best cost when it’s building data centers from scratch. But sometimes the company needs additional capacity immediately, and finance leases can help Microsoft obtain it more quickly.

The pace has been frenetic since OpenAI introduced ChatGPT in late 2022. Microsoft supplies computing power to OpenAI, meaning the startup needs enough servers packed with Nvidia graphics processing units to keep ChatGPT online.

With ChatGPT and other OpenAI services becoming even more popular, Microsoft has signed up additional cloud providers, including CoreWeave and Oracle. UBS analysts wrote in a report in September that comments Hood made in January suggest that Microsoft’s finance leases include the relationships with CoreWeave and Oracle.

Microsoft declined to comment on where third-party cloud partnerships show up on its financial statements.

Jaluria said investors don’t pay attention to backlogs for capital leases. Microsoft doesn’t specify when they will kick in or how long they will last, making them less immediate than in-quarter capital expenditures.

CEO Satya Nadella normally defers to Hood when analysts ask financial questions on earnings calls. But in July, Nadella stepped up when an analyst asked about the strategy of forming partnerships with other cloud providers that supplement Microsoft’s direct data center spending.

“To me it’s no different than leases that we’ve already done in the past,” Nadella said. “You could even say sometimes buying from Oracle may be even more efficient leases because they are even shorter date.”

When it comes to the jump in capital expenditures and future finance leases, Jaluria said investors just have to accept that they will weigh on profitability.

“Naturally, margins are coming down,” said Jaluria, who has the equivalent of a buy rating on the stock. “The cost is here now, and the benefits are not here to offset it. And I think that’s OK.”

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Americans are heating their homes with bitcoin this winter

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Americans are heating their homes with bitcoin this winter

As winter’s chill settles in across the U.S., and electricity bills become a bigger budgeting issue, most Americans will rely on their usual sources of warmth, such as home heating oil, natural gas, and electric furnaces. But in a few cases, crypto is generating the heat, and if some of the nascent crypto heat industry’s proponents are correct, someday its use as a source within homes and buildings will be much more widespread.

Let’s start with the basics: the computing power of crypto mining generates a lot of heat, most which just ends up vented into the air. According to digital assets brokerage, K33, the bitcoin mining industry generates about 100 TWh of heat annually — enough to heat all of Finland. This energy waste within a very energy-intense industry is leading entrepreneurs to look for ways to repurpose the heat for homes, offices, or other locations, especially in colder weather months.

During a frigid snap earlier this year, The New York Times reviewed HeatTrio, a $900 space heater that also doubles as a bitcoin mining rig. Others use the heat from their own in-home cryptocurrency mining to spread warmth throughout their house.

“I’ve seen bitcoin rigs running quietly in attics, with the heat they generate rerouted through the home’s ventilation system to offset heating costs. It’s a clever use of what would otherwise be wasted energy,” said Jill Ford, CEO of Bitford Digital, a sustainable bitcoin mining company based in Dallas. “Using the heat is another example of how crypto miners can be energy allies if you apply some creativity to their potential,” Ford said.

It’s not necessarily going to save someone money on their electric bill — the economics will vary greatly from place to place and person to person, based on factors including local electricity rates and how fast a mining machine is — but the approach might make money to offset heating costs.

“Same price as heating the house, but the perk is that you are mining bitcoin,” Ford said.

A single mining machine — even an older model — is sufficient. Solo miners can join mining pools to share computing power and receive proportional payouts, making returns more predictable and changing the economic equation.  

“The concept of using crypto mining or GPU compute to heat homes is clever in theory because almost all the energy consumed by computation is released as heat,” said Andrew Sobko, founder of Argentum AI, which is creating a marketplace for the sharing of computing power. But he added that the concept makes the most sense in larger settings, particularly in colder climates or high-density buildings, such as data centers, where compute heat shows real promise as a form of industrial-scale heat recapture.

To make it work — it’s not like you can transport the heat somewhere by truck or train — you have to identity where the computing heat is needed and route it to that place, such as co-locating GPUs in environments from industrial parks to residential buildings.

“We’re working with partners who are already redirecting compute heat into building heating systems and even agricultural greenhouse warming. That’s where the economics and environmental benefits make real sense,” Sobko said. “Instead of trying to move the heat physically, you move the compute closer to where that heat provides value,” he added.

Why skeptics say crypto home heating won’t work

There are plenty of skeptics.

Derek Mohr, clinical associate professor at the University of Rochester Simon School of Business, does not think the future of home heating lies in crypto and says even industrial crypto is problematic.

Bitcoin mining is so specialized now that a home computer, or even network of home computers, would have almost zero chance of being helpful in mining a block of bitcoin, according to Mohr, with mining farms use of specialized chips that are created to mine bitcoin much faster than a home computer.

“While bitcoin mining at home — and in networks of home computers — was a thing that had small success 10 years ago, it no longer is,” Mohr said.

“The bitcoin heat devices I have seen appear to be simple space heaters that use your own electricity to heat the room … which is not an efficient way to heat a house,” he said. “Yes, bitcoin mining generates a lot of heat, but the only way to get that to your house is to use your own electricity,” Mohr said.

He added that while running your computer non-stop would generate heat, it has a very low probability of successfully mining a bitcoin block.

“In my opinion, this is not a real opportunity that will work. Instead it is taking advantage of things people have heard of — excess heat from bitcoin mining and profits from mining — and is giving false hope that there is a way for an individual to benefit from this,” Mohr said.

But some experts say more widespread use of plug-and-play, free-standing mining rigs, might make the concept viable in more locations over time. In the least, they say it is worth studying the dual use economic and environmental benefits based on the underlying fact that crypto mining generates significant heat as a byproduct of the computer processing.

“How can we capture the excess heat from the operation to power something else? That could range from heating a home to warming water, even in a swimming pool. As a result, your operating efficiency is higher on your power consumption,” said Nikki Morris, the executive director of the Texas Christian University Ralph Lowe Energy Institute.

She says the concept of crypto heating is still in its earliest stages, and most people don’t yet understand how it works or what the broader implications could be. “That’s part of what makes it so interesting. At Texas Christian University, we see opportunities to help people build both the vocabulary and the business use feasibility with industry partners,” Morris said.

Because crypto mining produces a digital asset that can be traded, it introduces a new source of revenue from power consumption, and the power source could be anything from the grid to natural gas to solar to wind or battery generation, according to Morris. She cited charging an electric vehicle at mixed-use buildings or apartment complexes as an example.

“Picture a similar scenario where an apartment complex’s crypto mining setup produces both digital currency and usable heat energy. That opens the door to distributed energy innovation to a broader stakeholder base, an approach that could complement existing heating systems and renewable generation strategies,” Morris said.

There are many questions to explore, including efficiency at different scales, integration with other energy sources, regulatory considerations, and overall environmental impact, “but as these technologies evolve, it’s worth viewing crypto heating not just as a curiosity, but as a small window into how digital and physical energy systems might increasingly converge in the future,” Morris said.

Testing bitcoin heat in the real world

The crypto-heated future may be unfolding in the town of Challis, Idaho, where Cade Peterson’s company, Softwarm, is repurposing bitcoin heat to ward off the winter.

Several shops and businesses in town are experimenting with Softwarm’s rigs to mine and heat. At TC Car, Truck and RV Wash, Peterson says, the owner was spending $25 a day to heat his wash bays to melt snow and warm up the water.

“Traditional heaters would consume energy with no returns. They installed bitcoin miners and it produces more money in bitcoin than it costs to run,” Peterson said. Meanwhile, an industrial concrete company is offsetting its $1,000 a month bill to heat its 2,500-gallon water tank by heating it with bitcoin.

Peterson has heated his own home for two-and-a-half years using bitcoin mining equipment and believes that heat will power almost everything in the future. “You will go to Home Depot in a few years and buy a water heater with a data port on it and your water will be heated with bitcoin,” Peterson said. 

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These underperforming groups may deliver AI-electric appeal. Here’s why.

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These underperforming groups may deliver AI-electric appeal. Here's why.

Reshoring and infrastructure products could be the next ETF play after AI, say ETF experts

Industrial and infrastructure stocks may soon share the spotlight with the artificial intelligence trade.

According to ETF Action’s Mike Atkins, there’s a bullish setup taking shape due to both policy and consumer trends. His prediction comes during a volatile month for Big Tech and AI stocks.

“You’re seeing kind of the old-school infrastructure, industrial products that have not done as well over the years,” the firm’s founding partner told CNBC’s “ETF Edge” this week. “But there’s a big drive… kind of away from globalization into this reshoring concept, and I think that has legs.”

Global X CEO Ryan O’Connor is also optimistic because the groups support the AI boom. His firm runs the Global X U.S. Infrastructure Development ETF (PAVE), which tracks companies involved in construction and industrial projects.

“Infrastructure is something that’s near and dear to our heart based off of PAVE, which is our largest ETF in the market,” said O’Connor in the same interview. “We think some of these reshoring efforts that you can get through some of these infrastructure places are an interesting one.”

The Global X’s infrastructure exchange-traded fund is up 16% so far this year, while the VanEck Semiconductor ETF (SMH), which includes AI bellwethers Nvidia, Taiwan Semiconductor and Broadcom, is up 42%, as of Friday’s close.

Both ETFs are lower so far this month — but Global X’s infrastructure ETF is performing better. Its top holdings, according to the firm’s website, are Howmet Aerospace, Quanta Services and Parker Hannifin.

Supporting the AI boom

He also sees electrification as a positive driver.

“All of the things that are going to be required for us to continue to support this AI boom, the electrification of the U.S. economy, is certainly one of them,” he said, noting the firm’s U.S. Electrification ETF (ZAP) gives investors exposure to them. The ETF is up almost 24% so far this year.

The Global X U.S. Electrification ETF is also performing a few percentage points better than the VanEck Semiconductor ETF for the month.

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How tariffs and AI are giving secondhand platforms like ThredUp a boost

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How tariffs and AI are giving secondhand platforms like ThredUp a boost

At ThredUp‘s 600,000-square-foot warehouse in Suwanee, Georgia, roughly 40,000 pieces of used clothing are processed each day. The company’s logistics network — four facilities across the U.S. — now rivals that of some fast-fashion giants.

“This is the largest garment-on-hanger system in the world,” said Justin Pina, ThredUp’s senior director of operations. “We can hold more than 3.5 million items here.”

Secondhand shopping is booming. The global secondhand apparel market is expected to reach $367 billion by 2029, growing almost three times faster than the overall apparel market, according to GlobalData.

President Donald Trump’s tariffs were billed as a way to bring manufacturing back home. But the measures hit one of America’s most import-dependent industries: fashion.

About 97 percent of clothing sold in the U.S. is imported, mostly from China, Vietnam, Bangladesh and India, according to the American Apparel and Footwear Association.

For years, Gen Z shoppers have been driving the rise of secondhand fashion, but now more Americans are catching on.

“When tariffs raise those costs, resale platforms suddenly look like the smart buy. This isn’t just a fad,” said Jasmine Enberg, co-CEO of Scalable. “Tariffs are accelerating trends that were already reshaping the way Americans shop.”

For James Reinhart, ThredUp’s CEO, the company is already seeing it play out.

“The business is free-cash-flow positive and growing double digits,” said Reinhart. “We feel really good about the economics, gross margins near 80% and operations built entirely within the U.S.”

ThredUp reported that revenue grew 34% year over year in the third quarter. The company also said it acquired more new customers in the quarter than at any other time in its history, with new buyer growth up 54% from the same period last year.

“If tariffs add 20% to 30% to retail prices, that’s a huge advantage for resale,” said Dylan Carden, research analyst at William Blair & Company. “Pre-owned items aren’t subject to those duties, so demand naturally shifts.”

Inside the ThredUp warehouse, where CNBC got a behind-the-scenes look. automation hums alongside human workers. AI systems photograph, categorize, and price thousands of garments per hour. For Reinhart, the technology is key to scaling resale like retail.

“AI has really accelerated adoption,” said Reinhart. “It’s helping us improve discovery, styling, and personalization for buyers.”

That tech wave extends beyond ThredUp. Fashion-tech startups Phia, co-founded by Phoebe Gates and Sophia Kianni, is using AI to scan thousands of listings across retail and resale in seconds.

“The fact that we’ve driven millions in transaction volume shows how big this need is,” Gates said. “People want smarter, cheaper ways to shop.”

ThredUp is betting that domestic infrastructure, automation, and AI will keep it ahead of the curve, and that tariffs meant to revive U.S. manufacturing could end up powering a new kind of American fashion economy.

“The future of fashion will be more sustainable than it is today,” said Reinhart. “And secondhand will be at the center of it.”

Watch the video to learn more.

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