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Google’s plan to put data centers in the sky faces thousands of (little) problems: space junk

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The rapid expansion of artificial intelligence and cloud services has led to a massive demand for computing power. The surge has strained data infrastructure, which requires lots of electricity to operate. A single, medium-sized data center here on Earth can consume enough electricity to power about 16,500 homes, with even larger facilities using as much as a small city.

Over the past few years, tech leaders have increasingly advocated for space-based AI infrastructure as a way to address the power requirements of data centers.

In space, sunshine – which solar panels can convert into electricity – is abundant and reliable. On Nov. 4, 2025, Google unveiled Project Suncatcher, a bold proposal to launch an 81-satellite constellation into low Earth orbit. It plans to use the constellation to harvest sunlight to power the next generation of AI data centers in space. So, instead of beaming power back to Earth, the constellation would beam data back to Earth.

For example, if you asked a chatbot how to bake sourdough bread, instead of firing up a data center in Virginia to craft a response, your query would be beamed up to the constellation in space, processed by chips running purely on solar energy, and the recipe sent back down to your device. Doing so would mean leaving the substantial heat generated behind in the cold vacuum of space.

As a technology entrepreneur, I applaud Google’s ambitious plan. But as a space scientist, I predict that the company will soon have to reckon with a growing problem: space debris.

The mathematics of disaster

Space debris – the collection of defunct human-made objects in Earth’s orbit – is already affecting space agencies, companies and astronauts. This debris includes large pieces, such as spent rocket stages and dead satellites, as well as tiny flecks of paint and other fragments from discontinued satellites.

Space debris travels at hypersonic speeds of approximately 17,500 miles per hour (28,000 km/h) in low Earth orbit. At this speed, colliding with a piece of debris the size of a blueberry would feel like being hit by a falling anvil.

Satellite breakups and anti-satellite tests have created an alarming amount of debris, a crisis now exacerbated by the rapid expansion of commercial constellations such as SpaceX’s Starlink. The Starlink network has more than 7,500 satellites, which provide global high-speed internet.

The U.S. Space Force actively tracks over 40,000 objects larger than a softball using ground-based radar and optical telescopes. However, this number represents less than 1% of the lethal objects in orbit. The majority are too small for these telescopes to reliably identify and track.

In November 2025, three Chinese astronauts aboard the Tiangong space station were forced to delay their return to Earth because their capsule had been struck by a piece of space debris. Back in 2018, a similar incident on the International Space Station challenged relations between the United States and Russia, as Russian media speculated that a NASA astronaut may have deliberately sabotaged the station.

The orbital shell Google’s project targets – a Sun-synchronous orbit approximately 400 miles (650 kilometers) above Earth – is a prime location for uninterrupted solar energy. At this orbit, the spacecraft’s solar arrays will always be in direct sunshine, where they can generate electricity to power the onboard AI payload. But for this reason, Sun-synchronous orbit is also the single most congested highway in low Earth orbit, and objects in this orbit are the most likely to collide with other satellites or debris.

As new objects arrive and existing objects break apart, low Earth orbit could approach Kessler syndrome. In this theory, once the number of objects in low Earth orbit exceeds a critical threshold, collisions between objects generate a cascade of new debris. Eventually, this cascade of collisions could render certain orbits entirely unusable.

Implications for Project Suncatcher

Project Suncatcher proposes a cluster of satellites carrying large solar panels. They would fly with a radius of just one kilometer, each node spaced less than 200 meters apart. To put that in perspective, imagine a racetrack roughly the size of the Daytona International Speedway, where 81 cars race at 17,500 miles per hour – while separated by gaps about the distance you need to safely brake on the highway.

This ultradense formation is necessary for the satellites to transmit data to each other. The constellation splits complex AI workloads across all its 81 units, enabling them to “think” and process data simultaneously as a single, massive, distributed brain. Google is partnering with a space company to launch two prototype satellites by early 2027 to validate the hardware.

But in the vacuum of space, flying in formation is a constant battle against physics. While the atmosphere in low Earth orbit is incredibly thin, it is not empty. Sparse air particles create orbital drag on satellites – this force pushes against the spacecraft, slowing it down and forcing it to drop in altitude. Satellites with large surface areas have more issues with drag, as they can act like a sail catching the wind.

To add to this complexity, streams of particles and magnetic fields from the Sun – known as space weather – can cause the density of air particles in low Earth orbit to fluctuate in unpredictable ways. These fluctuations directly affect orbital drag.

When satellites are spaced less than 200 meters apart, the margin for error evaporates. A single impact could not only destroy one satellite but send it blasting into its neighbors, triggering a cascade that could wipe out the entire cluster and randomly scatter millions of new pieces of debris into an orbit that is already a minefield.

The importance of active avoidance

To prevent crashes and cascades, satellite companies could adopt a leave no trace standard, which means designing satellites that do not fragment, release debris or endanger their neighbors, and that can be safely removed from orbit. For a constellation as dense and intricate as Suncatcher, meeting this standard might require equipping the satellites with “reflexes” that autonomously detect and dance through a debris field. Suncatcher’s current design doesn’t include these active avoidance capabilities.

In the first six months of 2025 alone, SpaceX’s Starlink constellation performed a staggering 144,404 collision-avoidance maneuvers to dodge debris and other spacecraft. Similarly, Suncatcher would likely encounter debris larger than a grain of sand every five seconds.

Today’s object-tracking infrastructure is generally limited to debris larger than a softball, leaving millions of smaller debris pieces effectively invisible to satellite operators. Future constellations will need an onboard detection system that can actively spot these smaller threats and maneuver the satellite autonomously in real time.

Equipping Suncatcher with active collision avoidance capabilities would be an engineering feat. Because of the tight spacing, the constellation would need to respond as a single entity. Satellites would need to reposition in concert, similar to a synchronized flock of birds. Each satellite would need to react to the slightest shift of its neighbor.

Paying rent for the orbit

Technological solutions, however, can go only so far. In September 2022, the Federal Communications Commission created a rule requiring satellite operators to remove their spacecraft from orbit within five years of the mission’s completion. This typically involves a controlled de-orbit maneuver. Operators must now reserve enough fuel to fire the thrusters at the end of the mission to lower the satellite’s altitude, until atmospheric drag takes over and the spacecraft burns up in the atmosphere.

However, the rule does not address the debris already in space, nor any future debris, from accidents or mishaps. To tackle these issues, some policymakers have proposed a use-tax for space debris removal.

A use-tax or orbital-use fee would charge satellite operators a levy based on the orbital stress their constellation imposes, much like larger or heavier vehicles paying greater fees to use public roads. These funds would finance active debris removal missions, which capture and remove the most dangerous pieces of junk.

Avoiding collisions is a temporary technical fix, not a long-term solution to the space debris problem. As some companies look to space as a new home for data centers, and others continue to send satellite constellations into orbit, new policies and active debris removal programs can help keep low Earth orbit open for business.

Mojtaba Akhavan-Tafti, Associate Research Scientist, University of Michigan

This article is republished from The Conversation under a Creative Commons license. Read the original article.



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Gen Z fears AI will upend careers. Can leaders change the narrative?

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Good morning. Are you communicating the purpose of AI with your younger employees? According to new data from Harvard, most fear AI is going to take their jobs.

The Institute of Politics at Harvard Kennedy School released the fall 2025 Harvard Youth Poll on Thursday, which finds a generation under profound strain. The nationwide survey of 2,040 Americans between 18 and 29 years old was conducted from Nov. 3–7. For these respondents, instability—financial, political, and interpersonal—has become a defining feature of daily life. 

Young Americans see AI as more likely to take something away than to create something new. A majority (59%) see AI as a threat to their job prospects, more than immigration (31%) or outsourcing of jobs to other countries (48%).

Nearly 45% say AI will reduce opportunities, while only 14% expect gains. Another 17% foresee no change and 23% are unsure—and this holds across education levels and gender. 

In addition, young people fear AI will undermine the meaning of work. About 41% say AI will make work less meaningful, compared to 14% who say it will make work more meaningful and 19% who think it will make no difference; a quarter (25%) say they are unsure.

In my conversations this year with CFOs and industry experts, many have said that the goal of using AI is to remove the mundane and manual aspects of work in order to create more meaningful, thought‑provoking opportunities. However, that message does not yet seem to be resonating with younger employees.

There is a lot of public discussion and widespread fear that AI will mostly take away jobs, but research by McKinsey Global Institute released last week offers a different perspective. According to the report, AI could, in theory, automate about 57% of U.S. work hours, but that figure measures the technical potential in tasks, not the inevitable loss of jobs, as Fortune reported.

Instead of mass replacement, McKinsey researchers argue the future of work will be defined by partnerships among people, agents, and robots—all powered by AI, but dependent on human guidance and organizational redesign. The primary reason AI will not result in half the workforce being immediately sidelined is the enduring relevance of human skills. 

The Harvard poll also found young people have greater trust in AI for school and work tasks (52% overall, 63% among college students) and for learning or tutoring (48% overall, 63% among college students). But trust drops sharply for personal matters. 

Young employees are considered AI natives. However, it is important to recognize that they have not experienced as many major technology shifts as more seasoned employees—like the dawn of the internet. It’s not to say that AI won’t change the workforce, but there’s still room and need for humans. It’s up to leaders to clearly communicate how AI will change roles, which tasks it will automate, and also provide ongoing training and guidance on how employees can still grow their careers in an AI-powered workplace.

Have a good weekend. See you on Monday.

SherylEstrada
sheryl.estrada@fortune.com

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Fortune 500 Power Moves

Amanda Brimmer was appointed CFO of leasing advisory and head of corporatedevelopment at JLL (No. 188), a global commercial real estate and investment management company. Reporting to JLL CFO Kelly Howe, Brimmer will partner with business leaders globally to drive financial growth and performance. Brimmer brings more than two decades of experience from Boston Consulting Group, where she most recently served as managing director and senior partner.

Galagher Jeff was appointed EVP and CFO of ARKO Corp. (No. 488), one of the largest convenience store operators and fuel wholesalers in the U.S., effective Dec. 1. Jeff most recently served as EVP and CFO for Murphy USA, Inc. Before that, he spent nearly 15 years in senior and executive finance roles with retailers, including Dollar Tree Stores, Inc., Advance Auto Parts, Inc. and Walmart Stores, Inc., in addition to a decade-long career in finance and strategy consulting at organizations including KPMG and Ernst & Young. 

Every Friday morning, the weekly Fortune 500 Power Moves column tracks Fortune 500 company C-suite shifts—see the most recent edition

More notable moves this week:

Barbara Larson, CFO of SentinelOne, a cybersecurity company, will transition from her role to pursue an opportunity outside of the cybersecurity industry. Larson will continue to serve in her role through mid-January 2026. Upon her departure, Barry Padgett, chief growth officer, will serve as interim CFO. Barry has more than 25 years of experience in operational leadership at enterprise software companies, including SAP and Stripe. SentinelOne has initiated a search for its next CFO.
Jessica Ross was appointed CFO of GitLab Inc. (Nasdaq: GTLB), a DevSecOps platform, effective Jan. 15. Ross joins the company from Frontdoor, where she served as CFO. She has more than 25 years of experience in finance, accounting, and operational leadership at companies like Salesforce and Stitch Fix, and spent 12 years in public accounting at Arthur Andersen and Deloitte.

Michele Allen was appointed CFO of Jersey Mike’s Subs, a franchisor of fast-casual sandwich shops, effective Dec. 1. Allen succeeds Walter Tombs, who is retiring from Jersey Mike’s in January after 26 years with the company. Allen brings more than 25 years of financial leadership experience. Most recently, she served as CFO and head of strategy at Wyndham Hotels & Resorts. Allen began her career with Deloitte as an auditor. 

Nick Tressler was appointed CFO of Vistagen (Nasdaq: VTGN), a late clinical-stage biopharmaceutical company, effective Dec. 1. Tressler brings over 20 years of financial leadership experience. Most recently, he served as CFO of DYNEX Technologies, and before that, he was the CFO at American Gene Technologies, International, and Senseonics Holdings, Inc. Tressler has also held senior finance roles at several biopharmaceutical companies.

Mike Lenihan was appointed CFO of Texas Roadhouse, Inc. (NasdaqGS: TXRH), a restaurant company, effective Dec. 3. Keith Humpich, who served as interim CFO, was appointed chief accounting and financial services officer of the company. Lenihan has nearly 30 years of finance experience, including the past 22 years in the restaurant industry. Most recently, he served as the CFO at CKE Restaurants, Inc.

Big Deal

The ADP National Employment Report, released on Dec. 3, indicated that private-sector employment declined by 32,000 jobs in November. ADP found that job creation has been flat during the second half of 2025, while pay growth has continued its downward trend. In November, hiring was particularly weak in manufacturing, professional and business services, information, and construction.

“Hiring has been choppy of late as employers weather cautious consumers and an uncertain macroeconomic environment,” said Nela Richardson, chief economist at ADP, in a statement. “And while November’s slowdown was broad-based, it was led by a pullback among small businesses.”

ADP’s report is an independent measure of labor market conditions based on anonymized weekly payroll data from more than 26 million private-sector employees in the U.S. The next major U.S. Jobs Report (Employment Situation) for November is scheduled for release on Dec. 16 by the Bureau of Labor Statistics.

Going deeper

Here are four Fortune weekend reads:

Overheard

“The Fed no more ‘determines’ interest rates than a meteorologist determines the weather.”

—Alexander William Salter states in a Fortune opinion piece. Salter is a senior fellow with the Independent Institute and an economics professor in the Rawls College of Business at Texas Tech University. He writes: “The Fed doesn’t set interest rates. As powerful as America’s central bank is, it’s still just one player in a globe-spanning ocean of financial markets. Instead, the Fed sets targets for short-term interest rates. Those target rates indicate the Fed’s general monetary policy stance, but they are not the substance of monetary policy.”



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Four key questions about OpenAI vs Google—the high-stakes tech matchup of 2026

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Hello, Tech Editor Alexei Oreskovic, pitching in for Allie. We’ve been enjoying some crisp blue-sky days here in San Francisco in true December fashion. For the folks at OpenAI however, the days have been red — Code Red. 

In case you haven’t been following, OpenAI CEO Sam Altman on Monday declared a “Code Red” alert in a memo to employees, according to the Information and the Wall Street Journal. The alert, the highest level on OpenAI’s three-point scale, is essentially an all-hands-on-deck call to mobilize and defend against an imminent threat. That threat is Google and its latest version of the Gemini AI model, which competes with OpenAI’s GPT family of models, particularly its flagship ChatGPT product.

It’s a remarkable turn of events, almost exactly three years to the day that OpenAI released ChatGPT and put Google and the rest of the tech industry on the back foot. Now Google is on the ascent, hoping to turn OpenAI into MySpace. Of course, with its $500 billion valuation, OpenAI and its investors are not about to surrender. 

So, as the two AI superpowers roll up their sleeves for what’s sure to be a 2026 slugfest, we thought it would be interesting to tap into the wisdom of Term Sheet readers and ask for your perspectives on some of the key questions of this critical moment in tech history. Send your thoughts directly to me or to Allie G.

How can a company like OpenAI turn a first-mover advantage into a sustainable and long-lasting business that doesn’t get bulldozed by giants with more resources and capital? 

Is there a lesson—good or bad—from a first mover of the past (e.g. Netscape vs Microsoft; Blackberry vs iPhone) that OpenAI should heed?

What is the Google Achilles heel that OpenAI should exploit? 

What is the single most important thing that OpenAI needs to execute on right now – and what is the best metric to measure its success?

And of course, what other important parts of this story should we be thinking about?

Fire away!

Alexei Oreskovic
X:
@lexnfx
Email:alexei.oreskovic@fortune.com
Submit a deal for the Term Sheet newsletter here.

Joey Abrams curated the deals section of today’s newsletter.Subscribe here.

Venture Deals

7AI, a Boston-based agentic cybersecurity platform, raised $130 million in Series A funding. Index Ventures led the round and was joined by Blackstone Innovations Investments, as well as existing seed investors Greylock, CRV, and Spark

Fact Base, a Tokyo-based manufacturing SaaS startup and maker of drawing management system ZUMEN, raised $28.5 million in Series C funding from Insight Partners.

imper.ai, a New York City-based startup that prevents AI and cyber impersonation, emerged from stealth after raising $28 million in funding. Redpoint Ventures and Battery Ventures led the investment round and were joined by Maple VC, Vessy VC, and Cerca Partners.

pH7 Technologies, a Vancouver, British Columbia-based metal extraction company, raised $25.6 million in initial Series B funding. Fine Structure Ventures led the round with strategic investment from BHP Ventures and was joined Energy & Environment Investment, Siteground, Gaingels Fund, and Calm Ventures, along with existing investors including TDK Ventures, Pangaea Ventures, Rhapsody Venture Partners, and BASF Venture Capital.

Pine AI, a Palo Alto, Calif.-based startup that specializes in agentic AI for customer service applications, raised $25 million in Series A funding. Investors included Fortwest Capital

Lumia, an agentic AI security and governance platform, raised $18 million in seed funding. Team8 led the round and was joined by New Era.

Multifactor, a San Francisco-based agentic AI security platform, raised $15 million in seed funding. Nexus Venture Partners led the round and was joined by Y Combinator, Taurus Ventures, Honeystone Ventures, Flex Capital, Pioneer Fund, Ritual Capital, and Liquid2 Ventures.

Laigo Bio, a Utrecht, Netherlands-based biotech company specializing in novel membrane protein degradation, raised €11.5 million ($13.4 million) in seed funding. Kurma Partners and Curie Capital co-led the round and were joined by Argobio Studio, Angelini Ventures, Eurazeo, the Oncode Bridge Fund, ROM Utrecht Region, and Cancer Research Horizons.

Helmet Security, a Washington, D.C.-based agentic AI communication security startup, emerged from stealth after raising $9 million from SYN Ventures and WhiteRabbit Ventures.

Addis Energy, a Somerville, Mass.-based ammonia production technology developer, raised $8.3 million in seed funding. At One Ventures led the round and was joined by existing investors Engine Ventures and Pillar VC.  

Alinia AI, a Barcelona, Spain- and New York City-based startup that builds compliance tools for AI systems, raised $7.5 million in seed funding. Mouro Capital led the round and was joined by Speedinvest, Raise Ventures, and Precursor.

BuiltAI, a London, U.K.-based financial modeling platform for commercial real estate investment, raised $6 million in seed funding. Work-Bench led the round and was joined by Lerer Hippeau, Timber Grove Ventures, Emerald Pine, and angel investors.

Curvestone AI, a London, U.K.-based platform that reduces compound errors in automated workflows, raised $4 million seed funding. MTech Capital led the round and was joined by Boost Capital Partners, D2 Fund, and Portfolio Ventures.

Govstream.ai, a Seattle-based startup building AI-native permitting tools for local governments, raised $3.6 million in seed funding. 47th Street Partners led the round and was joined by Nellore Capital, Ascend, Kevin Merritt, and Andreas Huber.

Private Equity

Ares Management Corporation recapitalized MGT, a Tampa-based national technology and advisory solutions company serving state and local education institutions and governments, with a $350 million investment that values MGT at $1.25 billion. Existing investors include the Vistria Group, JPMorgan, and WhiteHorse Capital.

TRP Infrastructure Services, an Arlington Capital Partners portfolio company, completed its acquisition of Corpus Christi, Texas-based Highway Barricades & Services, a provider of pavement marking and traffic control services. Financial terms were not disclosed.

The Care Team, a Revelstoke Capital Partners portfolio company, acquired select hospice and palliative care operations from Traditions Health, a Tennessee-based hospice, palliative, and home health provider with operations in 16 states. Financial terms were not disclosed.

Inovara Group, an Ambienta portfolio company, acquired Guildford, U.K.-based IBL Lighting Limited, an LED engine design and architectural lighting provider. Financial terms were not disclosed.

People

Hunter Point Capital, a New York City-based investment firm, hired Jonathan Coslet as a senior partner. Previously, he was at TPG



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Treasury Secretary Bessent insists Trump’s tariff agenda is ‘permanent,’ saying the White House can recreate it even with a Supreme Court loss

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The Supreme Court is in the process of deciding the fate of President Trump’s tariffs, but even if the administration loses, it might not matter, said Treasury Secretary Scott Bessent.

At issue is the Trump administration’s use of the International Emergency Economic Powers Act (IEEPA) to justify some of its tariffs, including its baseline 10% duty on almost all nations. IEEPA, passed by Congress in 1977, gives the President “broad authority” on economic issues like tariffs after declaring a “national emergency,” for which the White House has pointed to elevated fentanyl imports from abroad.

Although not guaranteed, it’s possible the Supreme Court will decide the fentanyl crisis can’t be used as an emergency to justify broad tariffs on U.S. trading partners, which would make many of the administration’s tariffs invalid. In that case, the White House will just pivot to another justification to make tariffs permanent, said Bessent during the New York Times DealBook Summit this week. 

“We can recreate the exact tariff structure with 301’s, with 232’s, with the, I think they’re called 122’s,” he said, referring to several sections of various trade acts that could serve as alternatives to the administration’s current justification for its tariffs.

When interviewer and DealBook editor Andrew Ross Sorkin questioned whether these measures could exist permanently, Bessent replied “permanently.” He later clarified that tariffs under Section 122 of the Trade Act of 1974 would not be permanent.

In sum, the Constitution gives Congress purview over tariffs, but over the years it has given the executive branch more leeway to levy them through the trade acts mentioned by Bessent. 

Each of the sections Trump’s team may consider comes with its own set of pros and cons. Section 122 would be the quickest method to restore tariffs in the case of a Supreme Court loss because it doesn’t require an investigation on a trading partners’ practices. Using this justification would let the government levy tariffs up to 15%, with certain limits, but only for 150 days before congressional action is required.

The other two sections, as Bessent pointed out, have no time limit or limit on the tariff rate that can be levied, although they have other caveats. To justify tariffs under Section 301 of the Trade Act of 1974, the administration would need to conduct an investigation into practices by its trading partners it sees as “unjustifiable” or “unreasonable.” Trump did this successfully during his first administration to justify tariffs on China in 2017.

Alternatively, the administration could turn to Section 232 of the Trade of the Trade Expansion Act of 1962 and try to justify tariffs as an issue of national security. The White House is already using this justification to underpin its tariffs on steel, aluminum, and autos and those are not being scrutinized by the Supreme Court. 

Finally, experts have previously told Fortune, Trump could also ask Congress to pass a bill giving the president explicit authority to levy tariffs. Although it would require some caveats in terms of scope, and possibly duration of the tariffs, it would likely receive bipartisan support, international trade law expert and University of Kansas Law School professor Raj Bhala told Fortune

Despite the options in the administration’s back pocket, Bessent said he was optimistic about the White House’s chances at the Supreme Court. 

He also said a loss in court would be “a loss for the American people,” and pointed to the fact that China agreed to tighten control over exports of precursor chemicals used to make fentanyl earlier this year—a decision which he attributes to pressure created by the administration’s tariffs.

“I have been very consistent on this, that tariffs are a shrinking ice cube. The ultimate goal is to rebalance trade and to bring back domestic production,” Bessent said.



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