WM Technology, Inc. Q4 & Full Year 2025 Results March 12, 2026 Disclaimer This presentation is provided for informational purposes only and has been prepared to assist interested parties in making their own evaluation with respect to WM Technology, Inc. ("WM", the "Company", "we", "us", "our") and for no other purpose. References in this presentation to the "10- K" refer to the Annual Report on Form 10-K for the period ended December 31, 2025 filed with the Securities and Exchange Commission (the "SEC"). No ...

Arthur Hayes: Bitcoin Is Warning of a Massive Credit Destruction Event Triggered by AIOn March 7, 2026, Arthur Hayes explained in a Cointelegraph interview that Bitcoin serves as an early warning for credit destruction caused by AI.As AI agents replace expensive SaaS services and high-paid jobs, resulting debt defaults will threaten bank solvency. Hayes concluded that Bitcoin is tracking the struggling SaaS sector (IGV) rather than the broader equity market supported by hardware giants. （Cointelegraph） ...

Industry Overview - The data center and hyperscaler space is characterized by significant interest and controversy, particularly regarding funding and growth metrics [1]. Analyst Background - The analyst has over a decade of experience in financial markets, primarily in hedge funds, with a focus on technology sectors such as SaaS and cloud businesses, as well as energy and minerals sectors [1]. - The analyst emphasizes a rigorous research approach and high investment standards [1]. Investment Opportunities - The energy and minerals sectors are highlighted as areas offering substantial growth opportunities, alongside the tech sector [1]. - The analyst finds these sectors engaging and actively follows the latest developments, indicating a dynamic investment landscape [1].

⚡️ NEW: Arthur Hayes warns Bitcoin has yet to decouple from US SaaS tech stocks, cautioning that the recent rally could be a dead cat bounce. https://t.co/5dCaAB6EEO ...

Core Insights - MultiSensor AI Holdings, Inc. has appointed Todd McKellar as Vice President, Global Sales, effective February 23, 2026, to enhance its sales strategy and revenue growth [1][3]. Group 1: Leadership Appointment - Todd McKellar brings over 20 years of experience in revenue growth and strategic partnerships within AI-driven and SaaS technology platforms [2]. - His role will focus on leading the global sales organization to build a scalable revenue engine for MultiSensor AI's solutions [3]. Group 2: Strategic Goals - The appointment aligns with the company's strategic priorities to convert market demand into durable bookings and long-term revenue performance [4]. - MultiSensor AI aims to increase subscription-driven revenue and expand its global commercial footprint, supported by enhanced leadership across various functions [4]. Group 3: Company Overview - MultiSensor AI develops integrated condition monitoring and early threat detection solutions using a unified edge-to-cloud software architecture [6]. - The platform utilizes multiple sensing modalities to detect various modes of asset failure, enhancing safety and extending the useful life of critical assets [6].

Investors spill what they aren’t looking for anymore in AI SaaS companies https://t.co/nkoAacFwmu ...

Core Viewpoint - The report titled "2028 Global Intelligence Crisis" suggests that if AI continues to advance, it could lead to an economic crisis where human consumption declines despite rising corporate revenues, creating a paradoxical "ghost GDP" [1][9][10]. Group 1: Impact on Companies - Companies like Visa, DoorDash, and ServiceNow have seen significant stock price drops following the report's release, indicating the immediate market reaction to the potential implications of AI [2][3]. - The report highlights that as AI becomes more capable, it will replace human roles in various sectors, leading to cost reductions for companies but also resulting in widespread job losses and reduced consumer spending [7][9]. - SaaS companies, traditionally benefiting from subscription models, may face challenges as clients explore AI alternatives, leading to price negotiations that could undercut their profitability [12][14]. Group 2: Economic Implications - The report outlines a cycle where increased corporate efficiency through AI leads to job cuts, reduced consumer spending, and ultimately a contraction in economic activity, which could spiral into a financial crisis [9][10][19]. - The concept of "ghost GDP" is introduced, where corporate revenues appear healthy while actual economic activity declines, creating a disconnect that could destabilize the financial system [9][10]. - The report suggests that the concentration of wealth and resources in the hands of a few could exacerbate economic inequality, leading to a stagnant economy where the majority lack purchasing power [15][30]. Group 3: Potential Solutions and Human Adaptation - The report discusses the idea of implementing an "AI tax" to redistribute wealth generated by AI, ensuring that the benefits of increased productivity are shared among the population [17][19]. - Historical perspectives, such as Jevons Paradox, suggest that increased efficiency from AI could lead to greater overall consumption rather than a decline, indicating that human adaptability may mitigate some negative impacts [21][23]. - The report emphasizes that the future economic landscape will depend not solely on AI's capabilities but also on the rules governing wealth distribution and responsibility in the face of technological advancement [30][31].

Core Viewpoint - The report titled "2028 Global Intelligence Crisis" suggests that if AI continues to advance, it could lead to an economic crisis where human labor becomes obsolete, resulting in reduced consumer spending and a downward economic spiral [2][10]. Group 1: Impact on Companies - Companies like Visa, DoorDash, and ServiceNow experienced significant stock price drops following the report's release, indicating the immediate market reaction to the potential implications of AI on their business models [2]. - The report highlights a scenario where companies initially benefiting from AI may face declining revenues as consumer spending contracts due to job losses and reduced disposable income [8][10]. - A case study in the report illustrates how a Fortune 500 company's negotiation for a contract renewal resulted in a price reduction due to competition from AI solutions, showcasing the disruptive potential of AI on traditional business practices [10][12]. Group 2: Economic Implications - The report describes a phenomenon termed "ghost GDP," where corporate revenues may appear healthy while actual economic activity declines, leading to a vicious cycle of layoffs and reduced consumer spending [8][10]. - Financial institutions could face significant risks as rising defaults on loans and mortgages lead to asset devaluation, creating a broader financial crisis [10][12]. - The report suggests that the concentration of wealth among those controlling AI technology could exacerbate economic inequality, potentially leading to a stagnant economy where consumer spending halts [12][15]. Group 3: Future Considerations - The report raises questions about how society can adapt to an AI-driven economy, emphasizing the need for new distribution rules to ensure that wealth generated by AI benefits the broader population [15][25]. - Historical perspectives, such as Jevons Paradox, suggest that increased efficiency from AI could lead to greater consumption rather than a decrease, challenging the report's more pessimistic predictions [17][19]. - The potential for AI to create new job opportunities and the importance of human oversight in critical sectors like healthcare, finance, and law are highlighted as factors that could mitigate the negative impacts of AI [23][24].

Core Viewpoint - The report by Citrini Research highlights potential risks of artificial intelligence (AI) to the global economy, triggering significant discussions and panic selling in the U.S. stock market, particularly affecting delivery, payment, and software stocks, as well as major private equity (PE) firms like Blackstone and KKR [1][3]. Group 1: AI Impact on the Economy - The report titled "2028 Global Intelligence Crisis" suggests that uncontrolled deflationary forces from AI could lead to an economic plague targeting "intermediaries" and "white-collar wages," with a collapse in the private credit market being a core trigger for a financial crisis [3][7]. - AI's evolution is expected to erode the competitive advantages of the Software as a Service (SaaS) industry, leading to a collapse in pricing and the failure of business models reliant on Annual Recurring Revenue (ARR) [7][9]. - A hypothetical scenario in the report predicts a $5 billion private credit default by Zendesk in 2027, which could trigger a chain reaction affecting the entire SaaS pricing structure and leading to widespread defaults in private credit [7][9]. Group 2: Market Reactions and PE Firms - The liquidity crisis at Blue Owl Capital, which announced asset sales to meet investor redemption demands, has exacerbated market tensions and contributed to stock price declines for major PE firms [9][10]. - Following the announcement from Blue Owl, stocks of firms like Blackstone and Apollo Global Management dropped significantly, with Blackstone's stock falling over 15% from February 19 to 23 [10][13]. - The private credit market, which has rapidly expanded to $1.8 trillion, is now facing structural risks, with an expected increase in default rates due to AI disruptions, particularly in the technology and business services sectors [13][14]. Group 3: Future Considerations - The U.S. market is reassessing the long-term impacts of AI on finance and the real economy, leading to heightened scrutiny on risk pricing and liquidity management within the private credit industry [14]. - Citadel Securities argues that the rapid expansion of AI is unlikely to cause massive job losses, countering the fears raised by the Citrini Research report [14].

Group 1 - Citrini Research's report highlights potential risks of AI to the global economy, leading to significant discussions and panic selling in the US stock market, particularly affecting delivery, payment, and software stocks [1][3] - The report suggests that uncontrolled deflationary forces from AI could trigger a collapse in the private credit market, which may serve as a core catalyst for a financial crisis [3][6] - The report predicts that by 2027, a major default in private credit from a well-known CRM provider could lead to a chain reaction affecting SaaS pricing and private equity models [6][10] Group 2 - Blue Owl's liquidity crisis, which involved asset sales to meet investor redemption demands, has exacerbated market concerns about risks in the private credit sector, leading to stock price declines for major private equity firms [10][11] - The private credit market, currently valued at $1.8 trillion, is facing structural risks due to AI disruptions, with expected default rates rising significantly, particularly in the technology and business services sectors [13][14] - The recent stock declines of firms like Blackstone and KKR are attributed not only to the hypothetical report but also to real liquidity pressures and fundamental concerns in the private credit market [14][15]