For decades, scientists have believed that the moon cooled rapidly after its formation around 4.5 billion years ago, when a massive protoplanet collided with early Earth. However, samples returned from China's Chang'e-5 mission revealed surprising evidence of volcanic activity on the moon, dating back to just 2 billion years ago.

This finding has left scientists puzzled, as it seems to defy the laws of physics that dictate how planets and moons cool over time. With a relatively small size, the moon should have lost its internal heat quickly after forming, rendering it geologically dormant.

A new study published in the journal Planet proposes an explanation for this phenomenon: tidal heating caused by Earth's gravitational pull on the moon. The researchers suggest that this force may have kept the moon's interior hot and active, allowing for volcanic activity to persist long after its formation.

The idea of tidal heating is not new, but it has been largely overlooked in previous studies of the moon's evolution. According to the research team, Earth's gravity would have caused the moon's interior to heat up due to friction generated by the tidal forces acting on its crust and mantle.

The age of the lunar basalts returned by China's Chang'e-5 mission has raised questions about the moon's volcanic activity in the distant past. Laboratory analysis revealed that these rocks are approximately 2 billion years old, which is puzzling given that traditional geological theory suggests volcanoes should not have existed on the moon at this time.

Scientists have proposed various explanations for this anomaly, but none of them seem to fit the available data. Radioactive elements, such as potassium and uranium, could potentially contribute to heat generation through their decay process. However, there is insufficient undecayed material remaining on the moon to account for the required amount of heat.

The researchers considered asteroid impacts as another possible source of thermal energy. These events can cause localized high-impact heating, but the period of intense bombardment that shaped the moon's surface had long since ended by the time the basalts were formed. This means that asteroid strikes are unlikely to be responsible for the observed volcanic activity.

Tidal forces have been identified as a potential alternative explanation for the heat generated within the early moon. These forces, which occur when a celestial body is stretched and compressed as it orbits its parent body in an elliptical path, may have caused frictional heating within the moon's interior. This phenomenon is well-documented in other systems, such as Jupiter's moon Io, which experiences frequent volcanic eruptions due to tidal activity.

The moon's orbit has undergone significant changes over its history, and two billion years ago it was much closer to Earth than it is today. It orbited our planet in just 16 days, compared to the 27 days it takes now, and its path was more oval-shaped than circular. As a result, Earth's gravity exerted strong tidal forces on the moon's interior during each orbit.

Astronomers have long understood the impact of these gravitational squeezes, but their models of the moon's interior have been simplified to assume a uniform spherical shape. However, scientists knew that this was not entirely accurate, as there is a layer of rock with low viscosity between the moon's core and mantle. This zone plays a crucial role in how the tidal forces affect the moon.

When researchers used a more realistic 3D representation of the mantle setup in their convection simulations, they noticed a significant amount of energy being directed towards two specific regions along the lunar core-mantle boundary. These areas are now known as tidal heating anomaly zones (THAZs), and they have a profound impact on the moon's internal dynamics.

The researchers calculated that around 3.2 billion years ago, these THAZs were subjected to an enormous amount of energy due to tidal strain. Despite making up only a small portion of the mantle, just 2.5% of its total volume, they absorbed over 150 gigawatts of power. This is equivalent to more than four times the amount of energy generated by radioactive decay.

This immense energy input would have had a profound impact on the moon's volcanic activity, potentially keeping its internal heat sources active and driving geological processes for extended periods. The significance of this phenomenon is not unique to Earth's moon, as other systems, such as Jupiter's moon Io, also experience similar tidal effects that drive frequent volcanic eruptions.

The moon's geological history has long been a topic of study and debate among scientists. A new theory suggests that Earth's gravity played a significant role in keeping the lunar core warm for an extended period, which in turn helped sustain a magnetic field.

This prolonged warmth allowed the moon to maintain its magnetic field longer than previously thought, a discovery that was initially puzzling given the findings from Apollo missions. The samples collected during these missions indicated that they formed in a strong magnetic field, contradicting earlier predictions.

The theory also proposes that Earth's gravity drove massive mantle plumes towards the lunar crust. These plumes eventually cooled and solidified, producing the basalts seen in the Chang'e-5 samples.

Despite offering some answers to long-standing questions about the moon's geological history, this new model is still just a theory and requires further validation. The next decade promises to bring numerous lunar missions that could provide more definitive data on the moon's evolution.

The success of these missions will depend on their ability to gather accurate and comprehensive information on the moon's composition and internal structure.

The study suggests that Earth's gravitational pull may have played a crucial role in maintaining the moon's volcanic activity during its early stages. This theory is based on simulations of tidal heating at the core-mantle boundary of the moon.

The researchers propose that Earth's gravity caused tidal heating, which would have kept the moon's volcanic heart active for millions of years. If this scenario holds true, it could provide a new explanation for the moon's geological history and its unique composition. The study's findings offer valuable insights into the complex relationship between our planet and its satellite.

Phys.org: https://phys.org/news/2026-11-earth-gravity-early-moon-volcanic.html

The researchers behind this experiment acknowledge that Mars is a very dusty planet, and any future mission to the Red Planet will need to take into account the potential damage caused by the abrasive dust. Scott VanBommel, a research assistant professor at Washington University in St. Louis, notes that astronauts will have to be prepared for the harsh Martian environment.

The data collected from these experiments is being used to assess the interaction between Martian dust and various materials, including Teflon. This information is crucial in understanding how spacesuits would hold up on Mars and whether they need to be modified or replaced with more durable fabrics.

As part of this research, a new paper has been published in the Proceedings of the National Academy of Sciences, led by VanBommel and co-authored by Abigail Knight, a staff scientist at Washington University. Both researchers are also fellows of the McDonnell Center for the Space Sciences.

Future Mars missions need to take into account the potential effects of Martian dust on equipment and human health. The experience of Apollo astronauts is a cautionary tale - lunar dust was found to be abrasive enough to scratch visors and degrade spacesuits. Moreover, when particles from their suits contaminated the air inside the lunar module, they caused respiratory issues similar to hay fever in some cases.

The latest research suggests that Martian dust may not be as harsh on equipment or human health as previously thought. Swatches of Martian dust samples showed minimal wear after an extended period of exposure, which is a promising sign for future Mars visitors. This finding could alleviate concerns about the potential impact of Martian dust on spacesuits and other essential gear.

A closer examination of the Martian dust particles revealed that they are smoother than those found on the moon. The researchers suggest that this is because the Martian particles have been shaped by billions of years of wind erosion, resulting in rounded shapes similar to pebbles in a river. This could mean that Martian dust is less likely to cause scratches or irritate human lungs.

The study also highlighted another issue with Martian dust: its extremely fine texture. Researchers used a method to estimate the size of individual particles, which revealed that some were as small as 100 nanometers - an incredibly tiny measurement equivalent to one ten-thousandth of a millimeter.

The microscopic hazards posed by Martian dust are a concern for engineers designing habitats and spacesuits for future astronauts. These tiny particles can penetrate deep into the lungs and enter the bloodstream on Earth, where they pose a significant health threat from air pollution. Although astronauts won't breathe the Martian atmosphere directly, these risks must still be accounted for in mission planning.

The electrostatic properties of Martian dust are likely causing it to stick preferentially to certain surfaces, according to researchers. This could have implications for the design and maintenance of equipment on Mars. The presence of electrostatic forces also suggests that Martian dust may behave differently from lunar dust, which has been studied extensively in laboratory settings.

Analysis of the particles' chemical composition using data from Perseverance's PIXL instrument revealed some significant differences between Martian and lunar dust. For instance, Martian dust contains perchlorates and other potentially toxic compounds, as well as higher levels of sulfur, iron, and silica. These substances may pose a risk to astronauts' health if they come into contact with them.

The presence of these substances adds another layer of complexity for mission planners to consider when designing protective gear and habitats for future Mars missions. While brief exposure is unlikely to cause serious harm, the cumulative effect of repeated exposures could still be a concern.

The study suggests that Martian dust may be less abrasive than lunar dust, as evidenced by samples collected from spacesuits. This finding could have significant implications for future crewed missions to Mars.

The researchers analyzed data from rovers that have been operating on the Martian surface for over 20 years and found that while dust is a challenge, it's one that can be prepared for and overcome.

Phys.org: https://phys.org/news/2026-10-mars-abrasive-lunar-spacesuit-samples.html

The survey of 843 CEOs worldwide highlights a growing reliance on personal networks in navigating complex business environments. Business alliances emerged as the most critical external relationship, cited by nearly nine out of ten CEOs. Informal CEO networks also gained prominence, with almost half of respondents stating that these relationships had become more important over the past year.

These informal connections provide executives with access to peers facing similar challenges across industries and geographies. This shared experience can facilitate early intelligence on market shifts, opportunities for collaboration, and a secure space to discuss sensitive information.

The shift towards prioritizing business relationships is evident in CEOs' responses, with many highlighting the value of trusted networks in helping their companies adapt to an uncertain operating environment.

As CEOs navigate an increasingly complex business landscape, they're turning to their inner circles for guidance and support. Informal networks and alliances are providing a vital source of practical information and risk assessment, helping executives make informed decisions on major investments such as AI or supply chain restructuring.

The need for trusted relationships is driven by the growing uncertainty and disruption in global markets. With 62% of CEOs anticipating greater geopolitical upheaval over the next year, they're seeking out peers who have already confronted similar challenges. This sharing of experience can help mitigate risks and accelerate decision-making.

CEOs are also recognizing that leading through uncertainty requires a unique blend of personal resilience and business acumen. In fact, 82% say the current environment demands greater leadership endurance than they ever imagined, while 85% believe future success hinges on strengthening both their own resilience and traditional business capabilities.

In response to mounting pressure, many CEOs are seeking support from a trusted circle of peers who can offer valuable perspective, experience, and guidance. This approach acknowledges that even seasoned leaders may struggle to find the necessary support within their own organizations, highlighting the importance of building strong relationships with others in their industry.

As CEOs navigate the ever-changing landscape of business and technology, many are recognizing the value of surrounding themselves with trusted peers who can offer guidance and support.

This approach is particularly evident in the way top executives are approaching new technologies like artificial intelligence (AI). For instance, Eric Schmidt, former CEO of Google, has spoken about the potential for AI to alleviate some of the burdens associated with leadership. According to him, his job used to involve sitting in meetings for up to 12 hours a day.

In addition to seeking advice from peers, CEOs are also focusing on staying ahead of the curve when it comes to technological advancements. This includes making strategic investments and leveraging data points to inform decision-making. Blackstone's CEO has highlighted the importance of paying attention to seemingly contradictory information, which can actually provide valuable insights into future market shifts.

Meanwhile, other industry leaders are preparing for a future where AI plays an increasingly prominent role. For example, Elon Musk announced that SpaceX had secured $40 billion in debt financing to purchase AI chips expected to arrive by 2027. This development is likely to have significant implications for the tech sector and beyond.

The tech sector is witnessing a significant shift in dynamics as companies like KFC opt for rival brands over long-standing partnerships. This move by KFC, which has ended its 40-year partnership with Pepsi to team up with Coca-Cola, highlights the latter's growing influence and Pepsi's declining brand power.

Meanwhile, other sectors are also experiencing changes, particularly in the realm of AI. While tech giants like those managed by Apollo Global Management are leveraging AI to drive growth, this trend is not being mirrored across industries. Instead, companies are struggling to replicate the same success with AI-driven initiatives.

As a result, companies are increasingly looking for leaders who can navigate these complex changes and make informed decisions. This has led to a growing emphasis on developing in-house expertise, particularly in areas like AI leadership, as seen in Wells Fargo's decision to shift one of its senior consumer banking executives into a full-time AI role.

Fortune: https://fortune.com/article/ceos-are-leaning-on-their-inner-circles-to-get-ahead-putting-trusted-peers-ahead-of-political-connections/

The slowdown in token spending growth is a key concern, according to Slok, who argues that most companies investing in AI have yet to see significant productivity returns. In fact, he suggests that AI is now more of a cost center than a driver of growth, with many firms struggling to justify the expense.

Slok's analysis highlights a fundamental flaw in the AI boom narrative: the marginal cost of producing compute far exceeds its marginal benefit for users. This raises questions about claims of unlimited demand for data centers and suggests that companies are reluctant to pay for AI services unless they see clear returns on investment.

The key determinant in data-center construction models is not physical capacity or power, but rather the price users are willing to pay for compute. Slok's warning comes as Wall Street retreats from the sector, sparking concerns about the sustainability of the AI boom.

The enthusiasm surrounding artificial intelligence (AI) has led many investors to believe that companies will pay top dollar for its adoption. However, this optimism is based on flawed assumptions about AI's potential to drive revenue growth and profits.

Slok warns that unless AI translates into tangible financial benefits, companies are unlikely to justify the high costs associated with it. At present, there is little evidence to suggest that AI is delivering substantial returns at scale.

The circularity of token spending in the AI sector has raised concerns about its sustainability. Companies are accused of financing deals where they provide funding or guarantee debt for other businesses, which are also major customers. This creates a web of interconnected relationships that blur the lines between investment and revenue generation.

A closer look at the venture capital landscape reveals that 80% of the top 1% of AI spenders are backed by venture capitalists. This raises questions about whether startups are using venture capital to cover their compute costs, rather than generating profits from organic earnings.

The lack of financial payoff from AI adoption is most pronounced outside of the hyperscaler companies. While these firms have seen rising profit margins and revenue per worker, the rest of the S&P 500 has not experienced similar improvements.

The AI industry's reliance on capital expenditure has been a key driver of growth in recent years, but this trend is starting to show signs of strain. The hyperscalers, which are leading the charge in AI development, plan to spend an estimated $800 billion this year, with capex next year expected to reach $1 trillion.

However, the ability of these companies to raise capital may be limited by their own financial metrics. For instance, Meta's plans to spend $135 billion-$145 billion this year have led to a significant increase in the cost of insuring its debt against default. The five-year credit default swaps for Meta touched an all-time high on Thursday, widening 7.6 basis points to 114.79 basis points.

The social media giant's financial situation is not unique, as many AI companies are struggling to justify their valuations and secure further funding. This has led some investors to doubt the sustainability of the current capital expenditure cycle, particularly in the chip sector where prices have been driven up by demand for AI-related technologies.

Meanwhile, Meta's decision to issue a new class of shares this week, partly to help CEO Mark Zuckerberg pay for a possible wealth tax in California, is another indication that the company may be facing financial headwinds. The move has added to concerns about the social media giant's ability to raise capital and meet its spending commitments.

The turmoil in the AI sector has spread to smaller companies, with CoreWeave's stock plummeting by over 30% this month and its five-year credit default swaps skyrocketing to 1,145 basis points.

This trend highlights concerns about interconnected financing structures between major players in the field, known as hyperscalers, and their data center projects or partnerships with smaller AI companies. These complex relationships can create hidden liabilities that are not always disclosed.

The opacity of these financial arrangements has raised questions about the accuracy of publicly available information, making it difficult to assess the true extent of debt within the sector.

Fortune: https://fortune.com/2026/10/24/ai-core-economic-flaw-bull-case-stock-bond-trades-credit-default-swaps-data-centers/

The involvement of these six financial giants - Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR - underscores the importance of capital in the AI race. As the competition for dominance in artificial intelligence intensifies, companies are increasingly recognizing that access to funding is a critical factor in determining success. The ability to mobilize significant sums of money will be key to staying ahead in this field.

Historically, technological revolutions have been remembered for their groundbreaking technologies - steam engines, railways, and the internet. However, it's equally important to acknowledge the financial machinery that made these innovations possible. For instance, joint-stock companies played a crucial role in dispersing the risk associated with trading voyages, while early bond and equity markets provided financing for railroads before they could generate returns.

The rise of venture capital also supplied high-risk funding to companies too new or unproven to attract traditional investors. This financial infrastructure has been instrumental in supporting technological progress throughout history. As the AI revolution continues to unfold, it's clear that access to capital will be a vital component of success.

Nvidia's move to establish these financing platforms is a significant milestone in the company's evolution from chip-maker to industry leader. By leveraging its relationships with major financial players, Nvidia aims to create a new ecosystem for funding AI infrastructure. This development has implications not only for the company itself but also for the broader landscape of artificial intelligence.

As the world continues to focus on model releases, chip capabilities, and data center capacity, it's becoming increasingly clear that access to capital will be the decisive factor in determining who leads the AI pack. The United States remains at an advantage due to its deep capital markets, but China and Europe are working to close the technological gap by developing their financial infrastructure.

The cost of developing cutting-edge artificial intelligence systems is becoming increasingly expensive for even the world's wealthiest companies. For decades, software could be created once and distributed widely at minimal additional expense. However, AI has shifted this dynamic, requiring vast resources to design, manufacture, and power the sophisticated hardware needed to support it.

The five largest American hyperscalers are projected to spend $730 billion on capital expenditures in 2026 alone. A significant portion of these costs will be financed through debt, rather than being paid for directly from their own revenues. This has raised questions about the sustainability of their business models and whether they can continue to invest at this level without compromising their financial stability.

If the most profitable companies in history are struggling to fund their AI ambitions, what hope is there for smaller players or those just entering the market? The burden of financing these enormous investments will likely fall on investors who may be wary of taking on such risks.

Nvidia's recent deal with a group of investors marks an innovative approach to addressing this challenge. By structuring the investment as a project finance arrangement, similar to those used for infrastructure projects like power plants or toll roads, Nvidia aims to make AI-related investments more attractive to pension funds and insurers. This would allow these institutions to invest in compute infrastructure, just as they already do in traditional assets.

However, this approach also carries inherent risks. Unlike traditional infrastructure projects, which are designed to last decades and generate predictable returns, the hardware required for AI development is relatively short-lived, and demand can be unpredictable. Moreover, it's too early to accurately forecast returns on these investments, making them a more uncertain proposition than traditional assets.

The financial structure of the AI market is taking on a new shape, one that could influence the outcome of the technology race. This shift was made apparent by Nvidia's recent announcement, which introduced a novel financing model that diverges from traditional circular financing arrangements.

In this new setup, capital comes not from the companies themselves or their partners, but from external sources such as pension funds, insurers, and sovereign wealth funds. Household savings are also being tapped into to fund the buildout of AI technology. This approach reconfigures the cost of supply for a broader range of competitors beyond just the hyperscalers.

The financial architecture is playing a crucial role in determining which companies will emerge victorious in the AI race. Rather than simply throwing more money at the problem, the optimal use of capital is becoming a key factor in deciding who will succeed. This shift highlights the importance of effective financial structuring in achieving technological advancements.

The issue of accessing funds is particularly acute in Europe, where a substantial pool of savings exists but remains underutilized. Despite holding approximately 10 trillion euros ($11 trillion) in bank deposits, European institutional investors are more likely to invest in U.S. tech bonds than back their own startups. The problem lies not with the availability of capital but rather with the lack of infrastructure to convert savings into investment.

This mismatch between available funds and effective deployment is a significant challenge for Europe's technology sector. With the financial architecture playing an increasingly important role in determining the winners of the AI race, addressing this issue will be crucial for European companies to remain competitive.

To stay ahead in the AI race, European companies must address the issue of access to capital, which is becoming increasingly crucial for success in the field. This means developing a comprehensive strategy that integrates Europe's capital markets and facilitates the flow of funds into AI-related projects.

China, on the other hand, faces a different challenge. While state funding can be effective in building large-scale infrastructure, it often struggles to match capacity with demand. According to reports from last year, as much as 80% of newly constructed computing capacity in China remained unused after a government-led construction spree.

The United States has an initial advantage in the AI competition due to its expertise in converting household and pension savings into long-term investments at scale. America's bond markets, private credit funds, and asset managers are already seeking out assets that can support the growth of the AI industry, such as large-scale financing deals for chipmakers.

The first phase of the AI boom was driven by technical breakthroughs, but the next phase will depend on the financial system's ability to fund the expansion of the industry beyond a small group of companies. To compete with Nvidia's innovative approach to reconfiguring the economics of AI, other competitors will need to develop equally imaginative and effective financial strategies.

For European companies to remain competitive in the AI market, they must adapt their financial architecture to meet the changing needs of the industry. This may involve integrating capital markets and creating new financing mechanisms that can support the growth of AI-related projects.

The success of a technological revolution is not solely dependent on the development of innovative ideas, but also on finding ways to finance them.

To address this challenge, Brainstorm Tech International has organized an event that will bring together key stakeholders from various industries to explore strategies for turning technological advancements into sustainable business and societal value. The conference, scheduled for December 3 in Macau, aims to facilitate a dialogue between CEOs and founders of AI-related projects, technologists, investors, thinkers, and doers.

Fortune: https://fortune.com/2026/10/18/nvidia-ai-financing-capital-markets/