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Kalshi CEO Says Most of Its 150 Employees Report Directly to the Founders, Embracing a Deliberately ‘Chaotic’ Management Style

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Kalshi Chief Executive Tarek Mansour says the company’s unconventional management structure, where most employees report directly to its two co-founders rather than layers of managers, is a deliberate strategy designed to keep the fast-growing prediction market highly adaptable as it expands.

Speaking on Sequoia Capital’s Long Strange Trip podcast, Mansour revealed that he and co-founder Luana Lopes Lara collectively oversee roughly 150 direct reports, an organizational model that breaks sharply from the traditional corporate hierarchy used by most technology companies.

Rather than building multiple layers of middle management as the company grows, Kalshi has chosen to maintain a relatively flat organizational structure that gives employees direct access to senior leadership and allows decisions to be made more quickly.

Mansour acknowledged that the approach is far from conventional.

“There’s some functions that like we sort of let them do like what they do, but pretty much most of the company reports to between the two of us,” he said.

Building Flexibility over Bureaucracy

Founded in 2018 after Mansour and Lara met as students at the Massachusetts Institute of Technology, Kalshi has grown into the largest regulated prediction market platform in the United States, allowing users to trade contracts on the outcomes of economic, political, sporting and geopolitical events.

As the company expands in a rapidly evolving industry, Mansour believes maintaining organizational flexibility is more valuable than adopting a rigid corporate structure.

He readily conceded that the management model can appear disorderly.

“I think you could build an organization that’s somewhat okay with that, because what you get out of chaos is like continuous, constant adaptability,” he said. “It’s very easy for a company to adapt, very easy.”

According to Mansour, minimizing layers of management enables teams to reorganize rapidly in response to changing market conditions, new business opportunities, or regulatory developments without becoming bogged down in bureaucracy.

His objective is to create an organization capable of continuously redirecting resources toward its highest priorities.

“You want to be able to do that with no friction that’s inherently chaotic,” he continued. “Your structure needs to be as adaptable as possible.”

Rejecting Traditional Leadership Models

Mansour also said he has intentionally avoided relying on conventional management theories or executive playbooks while building the company.

Asked about his leadership philosophy, he described his approach candidly.

“Making it up as I go,” he said.

He suggested that neither founder has been heavily influenced by traditional business literature or leadership frameworks.

“We haven’t read all the books, we haven’t watched all the podcasts,” he said, adding that he and Lara are “probably very sort of like entrepreneurially illiterate.”

The approach stands in contrast to many Silicon Valley founders who frequently cite management books, startup methodologies, or leadership philosophies as guiding principles for scaling their businesses.

Instead, Mansour said Kalshi’s operating model has evolved organically through experience rather than by following established corporate practices.

Although both founders remain deeply involved in the business, they divide responsibilities between long-term strategy and operational execution.

Mansour said he primarily focuses on the company’s broader strategic direction, including product development, growth initiatives, and positioning Kalshi within the rapidly expanding prediction market industry. Lara, meanwhile, oversees much of the company’s day-to-day operations, ensuring that the business executes effectively as it scales.

The pair also intentionally challenge each other’s thinking during decision-making.

“I actually think we kind of disagree by design,” he said.

He explained that constructive disagreement has become a defining feature of their partnership.

“Like we have this thing, this dynamic over time, it’s become a thing where like we essentially will always take the opposite side of the argument,” he added.

Mansour suggested that routinely testing opposing viewpoints helps prevent confirmation bias and leads to stronger strategic decisions before major initiatives are implemented.

A Startup Philosophy That Defies Convention

Kalshi’s leadership structure is seen as part of a broader philosophy shared by some fast-growing technology startups that prioritize speed, experimentation, and adaptability over formal organizational hierarchies.

Many young technology companies initially operate with flat structures to accelerate decision-making and improve communication. As they grow, however, most introduce additional management layers to coordinate larger workforces, improve accountability and reduce the burden on founders.

Kalshi has so far resisted that transition.

The company’s willingness to embrace what Mansour describes as “chaos” reflects its belief that maintaining direct founder involvement across much of the organization can preserve the agility that often diminishes as startups mature.

Whether that model remains sustainable as Kalshi continues to expand will likely become a key test of its long-term governance. Managing around 150 direct reports is highly unusual for a chief executive and can become increasingly challenging as organizations grow. However, Mansour argues that the benefits of faster decision-making, closer collaboration, and the ability to rapidly redeploy teams outweigh the inefficiencies associated with a less conventional management structure.

Federal Reserve Embraces AI With Marc Andreessen Appointment

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The appointment of venture capitalist Marc Andreessen as an artificial intelligence advisor to the U.S. Federal Reserve marks another significant step in the growing convergence between technology, finance, and public policy.

As AI rapidly transforms industries around the world, central banks are increasingly recognizing that the technology will play a critical role in shaping the future of monetary systems, financial stability, and economic competitiveness.

Marc Andreessen is one of Silicon Valley’s most influential figures. As the co-founder of Netscape and later the venture capital firm Andreessen Horowitz (a16z), he has been at the forefront of several technological revolutions, including the rise of the internet, social media, cloud computing, cryptocurrencies, and artificial intelligence.

His strong advocacy for technological innovation and his belief that software fundamentally reshapes every industry have made him a prominent voice in discussions about the future of the global economy.

The Federal Reserve’s decision to bring Andreessen into an advisory role reflects the increasing importance of AI within modern financial systems. Central banks worldwide are examining how machine learning and advanced data analytics can improve economic forecasting, detect systemic risks, monitor financial markets, and enhance regulatory oversight.

Traditional economic models often struggle to capture the complexity and speed of today’s digital economy, and AI offers tools that may significantly improve decision-making capabilities.

One area where Andreessen’s expertise could prove valuable is in the use of AI for macroeconomic analysis.

Financial markets generate enormous amounts of data every second, ranging from transaction flows and credit activity to consumer behavior and geopolitical developments. Advanced AI systems are capable of processing these datasets in real time, potentially allowing policymakers to identify emerging risks and respond more effectively to economic shocks.

The appointment also highlights America’s broader strategic competition in artificial intelligence. The United States is increasingly viewing AI as a critical national asset, comparable to the importance of nuclear technology or the internet during previous eras.

Policymakers are seeking ways to maintain leadership in AI innovation while ensuring that regulatory frameworks do not stifle technological progress. Andreessen has consistently argued that excessive regulation could hinder American competitiveness, particularly as countries such as China aggressively invest in AI infrastructure and talent.

Critics could question whether close ties between Silicon Valley investors and central banking institutions create potential conflicts of interest. Andreessen Horowitz has extensive investments across artificial intelligence, fintech, and digital asset sectors, all of which could be significantly affected by future Federal Reserve policies.

Ensuring transparency and maintaining the Fed’s independence will therefore remain essential. Andreessen’s involvement may accelerate discussions surrounding the future of digital finance. Artificial intelligence is increasingly intersecting with areas such as digital payments, algorithmic trading, tokenized assets, and even the potential development of central bank digital currencies.

The Federal Reserve’s engagement with leading technology figures suggests that future monetary systems may become far more data-driven and technologically sophisticated.

Marc Andreessen’s advisory role symbolizes a broader shift in how governments and financial institutions are adapting to the AI era.

As artificial intelligence continues to redefine economic structures, central banks can no longer remain passive observers of technological change. Instead, they are becoming active participants in shaping how these innovations influence financial stability, economic growth, and the global balance of power.

Whether this partnership delivers transformative insights or sparks new debates about technology’s influence on policymaking, it clearly demonstrates that artificial intelligence is becoming an increasingly central component of the future of finance and governance.

Robinhood Surpasses Hyperliquid as Crypto Posts Third Straight Quarterly Loss

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The digital asset industry is experiencing a period of rapid transformation, marked by shifting trading dynamics, expanding blockchain infrastructure, and persistent market volatility. Three recent developments capture this changing landscape.

Robinhood surpassing Hyperliquid in 24-hour decentralized exchange volume, Fomo launching support for the Robinhood Chain, and the crypto market recording its third consecutive quarter of negative returns. These events highlight both the growing institutionalization of crypto and the challenges facing the broader market.

Robinhood’s emergence as a dominant force in decentralized trading is particularly noteworthy.

Historically known as a retail brokerage platform for stocks and options, Robinhood has steadily expanded its cryptocurrency ambitions. By overtaking Hyperliquid in daily DEX volume, the company signals that traditional fintech firms are increasingly capable of competing with crypto-native platforms.

Hyperliquid had previously established itself as one of the leading decentralized perpetual trading venues, attracting traders with deep liquidity and efficient execution. Robinhood’s rise suggests that mainstream financial platforms are successfully integrating blockchain infrastructure while leveraging their existing user bases.

This development also reflects a broader trend of convergence between traditional finance and decentralized finance. Retail investors increasingly seek seamless access to digital assets without navigating the complexities often associated with decentralized protocols.

Robinhood’s familiar interface and regulatory positioning provide an attractive gateway for users who may have previously been hesitant to engage with DeFi directly. If sustained, Robinhood’s trading dominance could accelerate the migration of traditional investors into blockchain-based financial products.

Adding to this momentum, Fomo’s decision to launch support for the Robinhood Chain represents another significant milestone. Infrastructure support from third-party applications and ecosystems is often a critical indicator of a blockchain network’s potential longevity.

By integrating with Robinhood’s blockchain ecosystem, Fomo is effectively validating the chain’s growing relevance within the broader crypto landscape.

The launch of Robinhood Chain support may also encourage the development of additional decentralized applications, liquidity programs, and trading products built around the network.

Successful blockchain ecosystems thrive on network effects, where increased user activity attracts developers, and more applications subsequently attract even more users. Fomo’s integration could therefore become an early catalyst for the expansion of Robinhood’s blockchain ambitions.

These positive developments stand in sharp contrast to the overall state of the cryptocurrency market. The sector has now posted its third consecutive quarter of negative returns, underscoring persistent macroeconomic and structural challenges.

Elevated interest rates, regulatory uncertainty, declining speculative activity, and weaker retail participation have all contributed to subdued market performance. Three consecutive quarters of losses are significant because they suggest that the market’s difficulties extend beyond short-term corrections.

Investors remain cautious, with many institutions reducing risk exposure amid uncertain economic conditions. Trading volumes across many digital assets have declined compared to previous bull market peaks, and capital inflows into speculative crypto sectors have remained relatively weak.

Yet, periods of negative returns have historically served as important rebuilding phases for the crypto industry. Previous bear markets often created the conditions for infrastructure development and innovation that later fueled subsequent growth cycles.

The emergence of new blockchain ecosystems, increased institutional participation, and experimentation with tokenized financial products during downturns frequently lay the groundwork for future expansion.

The contrast between Robinhood’s growing influence and the broader market’s struggles illustrates the current state of crypto: while prices may remain under pressure, infrastructure development and institutional engagement continue to advance.

Robinhood surpassing Hyperliquid in trading volume, combined with ecosystem integrations such as Fomo’s support for Robinhood Chain, indicates that competition within digital finance is intensifying.

Although the crypto market remains trapped in a prolonged period of negative returns, the continued expansion of infrastructure and adoption may eventually position the industry for its next major growth phase.

Total Prediction Market Volume Reaches New Highs as Polymarket Expands and Wall Street Responds

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Prediction markets are experiencing a historic surge in activity, cementing their place as one of the fastest-growing sectors in finance and digital assets. Total trading volume across major platforms has climbed to new all-time highs, driven by growing interest in politics, macroeconomic events, sports, artificial intelligence, and cryptocurrency-related forecasts.

Institutional finance is beginning to grapple with the implications of these markets, as evidenced by Goldman Sachs reportedly restricting employee participation in prediction market activities.

The rise of prediction markets reflects a broader shift toward information-based financial products.

Unlike traditional betting platforms, prediction markets aggregate collective intelligence by allowing participants to trade contracts tied to future events. Prices fluctuate based on perceived probabilities, effectively turning public sentiment into a real-time forecasting mechanism.

Platforms such as Polymarket have become central players in this movement. Over the past year, user participation has expanded dramatically as traders increasingly rely on prediction markets to gauge election outcomes, central bank decisions, technological breakthroughs, and geopolitical developments.

Many analysts now view prediction markets as complementary tools to traditional research, often providing faster and more dynamic insights than polling data or analyst reports. The growing popularity of these markets has also attracted scrutiny from major financial institutions.

Goldman Sachs, one of the world’s largest investment banks, has reportedly introduced restrictions on employee participation in prediction markets. The move highlights increasing concerns around compliance, conflicts of interest, insider information risks, and regulatory uncertainty.

For large financial firms, employee involvement in markets tied to political outcomes or economic events can create complex legal and ethical questions. If prediction contracts are linked to events that employees may have privileged insights into, institutions must carefully manage potential reputational and regulatory risks.

Goldman Sachs’ cautious stance suggests that Wall Street recognizes prediction markets as increasingly significant financial instruments rather than niche speculative products. Meanwhile, Polymarket is taking major steps toward mainstream financial integration.

The company has reportedly filed for a margin trading license in the United States, a move that could dramatically expand its product offerings and attract a broader class of sophisticated traders.

A margin trading license would allow users to trade with borrowed capital, increasing leverage and potentially boosting market liquidity.

Such functionality is commonplace in traditional financial markets and cryptocurrency exchanges but remains relatively new within prediction markets. If approved, the license could position Polymarket as a hybrid platform combining elements of derivatives trading, forecasting markets, and digital asset infrastructure.

The filing also signals Polymarket’s intention to operate within clearer regulatory frameworks in the United States. Regulatory compliance has become increasingly important as prediction markets move from the fringes of the internet into mainstream finance.

Establishing a licensed and regulated structure could attract institutional capital that has thus far remained cautious due to legal uncertainties.

The broader implications are substantial. Prediction markets are increasingly being viewed as powerful information engines capable of efficiently aggregating dispersed knowledge.

Governments, corporations, investors, and researchers are paying closer attention to their forecasting accuracy. The sector faces challenges. Greater institutional participation will likely bring stricter compliance requirements, enhanced surveillance mechanisms, and more regulatory oversight.

Questions regarding market manipulation, insider trading, and the classification of prediction contracts remain unresolved. The sector’s momentum appears undeniable. Record trading volumes, institutional reactions from firms like Goldman Sachs, and Polymarket’s push for advanced licensing collectively indicate that prediction markets are entering a new phase of maturity.

What began as an experimental intersection of finance and collective intelligence is rapidly evolving into a significant component of modern market infrastructure. As adoption accelerates, prediction markets may increasingly influence how societies forecast and price future events.

Polymarket’s Margin Trading Plans Signal a New Era for Event-Based Investing

Prediction markets have rapidly evolved from niche internet experiments into major platforms that attract traders, political analysts, and investors seeking to profit from forecasting future events.

Among these platforms, Polymarket has emerged as one of the most recognizable names, particularly during major political elections and high-profile global events. Now, reports that Polymarket is seeking regulatory pathways to offer margin trading to American users could mark a significant turning point for both the company and the broader prediction market industry.

Margin trading allows participants to borrow funds to increase the size of their positions. In traditional financial markets, this mechanism is commonly used in stocks, futures, and cryptocurrency trading to amplify potential gains.

Leverage also magnifies losses, making it one of the riskiest tools available to traders. If Polymarket successfully introduces margin products to U.S. users, it could fundamentally reshape how prediction markets operate and attract a new wave of sophisticated participants.

The timing of this move is notable. Prediction markets have experienced explosive growth over the past two years, fueled by increasing public interest in political forecasting, economic events, sports outcomes, and even technology developments.

Platforms like Polymarket have demonstrated that collective market intelligence can often produce remarkably accurate forecasts. Trading volumes and open interest on these platforms have reached record highs, signaling that prediction markets are gradually moving into the financial mainstream.

For Polymarket, offering margin trading presents several strategic advantages. First, leverage typically increases trading activity and liquidity. Higher liquidity often leads to tighter spreads and more efficient price discovery, making the platform more attractive to institutional traders and professional speculators.

Second, margin products can create additional revenue streams through borrowing fees and increased transaction volumes. In a competitive digital asset environment, these factors could significantly strengthen Polymarket’s market position.

The proposal also raises important regulatory and ethical questions. U.S. authorities have historically taken a cautious approach toward both prediction markets and leveraged trading products. Regulators are concerned that excessive speculation can expose retail participants to significant financial risks, particularly when complex financial instruments are made widely accessible.

Prediction markets already occupy a unique regulatory gray area because they blend elements of gambling, derivatives trading, and information aggregation. Introducing margin trading may intensify scrutiny from agencies such as the Commodity Futures Trading Commission, which oversees many forms of derivatives activity in the United States.

Polymarket’s efforts to secure appropriate licenses suggest that the company recognizes the importance of operating within a clear legal framework.

Critics argue that allowing Americans to place leveraged bets on elections, economic indicators, or geopolitical developments could encourage excessive speculation and potentially undermine the informational value of prediction markets.

Supporters, on the other hand, contend that greater liquidity and participation could improve market efficiency and generate more accurate forecasts. The broader implications extend beyond Polymarket itself. If regulators eventually approve leveraged prediction market products, other platforms may quickly follow.

Polymarket’s ambitions reflect a broader trend toward the financialization of information and forecasting. As technology enables new forms of market participation, the line between investing, trading, and betting continues to blur.

Whether margin-enabled prediction markets become a widely accepted financial innovation or face significant regulatory resistance will depend on how effectively companies like Polymarket balance growth, consumer protection, and regulatory compliance in the years ahead.

The Impact of Continuous Trading on Energy Price Volatility

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The decision by the U.S. Commodity Futures Trading Commission (CFTC) to halt the launch of 24/7 oil futures trading marks a significant moment in the evolution of global commodity markets.

As financial markets increasingly move toward around-the-clock trading models, regulators are becoming more cautious about the risks associated with continuous market activity, particularly in strategically important commodities such as crude oil.

Oil futures are among the world’s most heavily traded financial instruments, serving as critical benchmarks for pricing energy products, managing risk, and gauging geopolitical tensions.

Extending trading to a 24/7 model was viewed by many market participants as a natural progression, especially as cryptocurrency markets have demonstrated the viability of nonstop trading and investors increasingly demand greater flexibility.

The CFTC’s intervention highlights concerns that continuous trading could introduce new vulnerabilities into an already volatile market. Regulators worry that around-the-clock access may amplify price swings during periods of low liquidity, increase susceptibility to market manipulation.

One of the central issues is market stability. Oil prices are highly sensitive to geopolitical events, natural disasters, supply disruptions, and macroeconomic data releases. In a 24/7 environment, sudden developments occurring during traditionally inactive periods could trigger sharp and disorderly price movements without sufficient market depth to absorb large trades.

Such scenarios could potentially lead to flash crashes or exaggerated volatility that may ripple through broader financial markets. Another major concern involves risk management and market oversight. Continuous trading requires exchanges and clearinghouses to maintain uninterrupted surveillance systems and operational resilience.

Regulators must ensure that market infrastructure can withstand cyber threats, technical failures, and unexpected trading surges at any hour. The complexity of supervising a market that never closes significantly increases the demands on regulatory bodies and market participants alike.

The decision also reflects broader debates about the future structure of financial markets.

While technological advancements have made continuous trading technically feasible, regulators remain divided on whether all asset classes should adopt this model.

Unlike digital assets, oil remains deeply connected to physical supply chains, production schedules, transportation networks, and geopolitical considerations. The physical nature of the commodity introduces constraints that do not necessarily align with perpetual trading.

Supporters of 24/7 oil futures argue that global energy markets are inherently international and never truly stop functioning. Major developments in the Middle East, Asia, or Europe can occur outside traditional U.S. trading hours, and continuous access would allow market participants to react immediately rather than waiting for markets to reopen.

They contend that such a system could improve price discovery and enhance hedging opportunities for producers, refiners, and institutional investors. CFTC’s decision suggests that regulators are prioritizing prudence over innovation.

The agency appears determined to thoroughly assess the potential consequences before permitting a fundamental shift in market structure. This cautious approach reflects lessons learned from previous episodes of market instability, where rapid technological changes occasionally outpaced regulatory safeguards.

The halt of 24/7 oil futures trading may only be temporary, but it underscores an important reality: innovation in financial markets must be balanced with stability and investor protection.

As global markets continue to evolve, regulators face the difficult challenge of embracing modernization while ensuring that critical financial infrastructure remains secure, transparent, and resilient.

The CFTC’s decision serves as a reminder that the transition toward always-open markets will not be straightforward. For commodities as strategically important as oil, regulatory caution may prove essential in preserving market integrity while preparing for the next generation of global trading systems.