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On Friday, the board of OpenAI, the buzzy AI company behind viral chatbot ChatGPT, suddenly and publicly ousted its CEO Sam Altman. The announcement came one day after he appeared publicly on behalf of his company at Thursday’s APEC CEO Summit.

OpenAI’s board said it conducted “a deliberative review process” and that Altman “was not consistently candid in his communications with the board, hindering its ability to exercise its responsibilities.”

“The board no longer has confidence in his ability to continue leading OpenAI,” the board’s statement continued.

As of this week, OpenAI’s six-person board included OpenAI co-founder and President Greg Brockman, who was also chairman of the board; Ilya Sutskever, OpenAI’s chief scientist; Adam D’Angelo; Tasha McCauley; Helen Toner; and Altman himself. The company began publicly posting its board’s member list on its website in July, after the departures of LinkedIn founder Reid Hoffman, director of Neuralink Shivon Zilis and former Texas congressman Will Hurd.

Here’s a rundown of the board behind the controversial shake-up:

Greg Brockman: An OpenAI co-founder, Brockman quit his role at the company on Friday in protest of Altman’s ousting, saying publicly, “Sam and I are shocked and saddened by what the board did today.” Brockman spent five years as CTO of Stripe before moving on to help launch OpenAI. In 2020, Brockman said OpenAI’s top obstacle in its first five years was the idea that making the full extent of the startup’s work public wasn’t necessarily beneficial for humanity, in his eyes. At the time, he said, “We realized that as these things get powerful, they’re dual-use…and that we as technology developers have a responsibility to not just say, ‘Hey, we built this thing, it’s up to the world to decide how to use it.'”

Ilya Sutskever: As of now, Sutskever is the sole remaining OpenAI co-founder on the board. After co-founding DNNResearch — an AI startup focused on neural networks — and selling it to Google, Sutskever joined Google as a research scientist and stayed for nearly three years before moving on to OpenAI as a co-founder and research director. Since November 2018, he’s been the company’s chief scientist.

Adam D’Angelo: The current CEO of Quora, a social platform for questions and answers, D’Angelo spent nearly four years at Facebook and was CTO of the tech giant from 2006 to 2008. He is not an employee at OpenAI.

Tasha McCauley: McCauley, who is not an OpenAI employee, is on the board of directors of both OpenAI and GeoSim Systems, a geospatial tech company. She is an adjunct senior management scientist at Rand Corporation and has been on the OpenAI board since 2018.

Helen Toner: Toner is a board member and non-OpenAI employee who spent time at the University of Oxford’s Center for the Governance of AI, and has been a director of strategy for Georgetown’s Center for Security and Emerging Technology for nearly five years. Last year, Toner told the Journal of Political Risk that, “Building AI systems that are safe, reliable, fair, and interpretable is an enormous open problem… Organizations building and deploying AI will also have to recognize that beating their competitors to market— or to the battlefield — is to no avail if the systems they’re fielding are buggy, hackable, or unpredictable.”

Earlier this year, Microsoft’s expanded investment in OpenAI — an additional $10 billion — made it the biggest AI investment of the year, according to PitchBook. In April, the startup reportedly closed a $300 million share sale at a valuation between $27 billion and $29 billion, with investments from firms such as Sequoia Capital and Andreessen Horowitz. Despite its significant investment, however, Microsoft has no board seat at OpenAI.

“While our partnership with Microsoft includes a multibillion-dollar investment, OpenAI remains an entirely independent company governed by the OpenAI Nonprofit,” OpenAI has publicly stated. “Microsoft has no board seat and no control. And… AGI is explicitly carved out of all commercial and IP licensing agreements. These arrangements exemplify why we chose Microsoft as our compute and commercial partner.”

Microsoft had no new comments to add on Saturday and requests for comments from board members weren’t immediately returned to CNBC.

OpenAI’s product feature announcements earlier this month showed that one of the hottest companies in tech has been rapidly evolving its offerings in an effort to stay ahead of rivals like Anthropic, Google and Meta in the AI arms race.

ChatGPT, which broke records as the fastest-growing consumer app in history months after its launch, now has about 100 million weekly active users, OpenAI said this month. More than 92% of Fortune 500 companies use the platform, up from 80% in August, and they span across industries like financial services, legal applications and education, according to Mira Murati, OpenAI’s CTO-turned-interim CEO.

The news of Altman’s ousting comes after OpenAI’s Dev Day, the company’s first in-person event, on Nov. 6, which also included a surprise appearance by Microsoft CEO Satya Nadella.

“The systems that are needed as you aggressively push forward on your road map require us to be on the top of our game, and we intend fully to commit ourselves fully to making sure you all… have not only the best systems for training and inference, but also the most compute,” Nadella told Altman while onstage together at Dev Day. He added, “That’s the way we’re going to make progress.”

On that day, Altman told Nadella, “I think we have the best partnership in tech and I’m excited for us to build AGI together.”

As recently as last month, OpenAI was reportedly in talks to close a deal that would lead to an $80 billion valuation. When CNBC asked OpenAI COO Brad Lightcap about that deal, he declined to comment.

At OpenAI’s Dev Day, in response to a CNBC question about GPT-5, Altman said, “We want to do it, but we don’t have a timeline.”

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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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