The AI Valuation BubbleSpeaking on the Inside Economics podcast alongside Moody’s chief economist Mark Zandi, Galloway cast heavy doubt on the sky-high expectations surrounding AI-centric companies.He noted that the sector now represents roughly 40% of the S&P 500. For these companies to justify their astronomical revenue multipliers, Galloway argued they either need to drive unprecedented job destruction to create corporate efficiencies or face a severe market correction.Galloway strongly believes the latt ...

Not many tech companies can boast that they’ve been around for a century, but then again, not many companies are IBM (IBM). (Its tagline on TikTok, humorously, is “Yes, we’re still in business.”) The mainframe computing giant has undergone a remarkable transformation in the past decade, emerging as a leading force in hybrid cloud and AI technology, particularly following its 2019 acquisition of Red Hat, which added open-source software to its portfolio and helped shares climb 78%. In fact, its software ...

About this content About Emily Jarvie Emily began her career as a political journalist for Australian Community Media in Hobart, Tasmania. After she relocated to Toronto, Canada, she reported on business, legal, and scientific developments in the emerging psychedelics sector before joining Proactive in 2022. She brings a strong journalism background with her work featured in newspapers, magazines, and digital publications across Australia, Europe, and North America, including The Examiner, The Advocate, ...

Core Insights - AMD has established itself as a legitimate competitor in the AI technology sector, indicating its growing influence and capabilities in this area [1] Investment Strategy - Pythia Research focuses on identifying multi-bagger stocks, particularly in the technology sector, by combining financial analysis with behavioral finance and alternative metrics [1] - The approach aims to uncover breakout opportunities before they gain mainstream attention, leveraging both traditional and unconventional insights [1] - The strategy emphasizes understanding market sentiment and identifying emerging trends to invest in transformative businesses poised for exponential growth [1] Market Behavior Analysis - The company recognizes that markets are influenced not only by fundamentals but also by perception, emotion, and bias, which creates persistent inefficiencies [1] - Psychological factors such as herd mentality and panic selling can lead to mispricing, marking the beginning of potential breakouts [1] - The analysis of volatility is crucial, assessing whether it is driven by emotional responses or fundamental changes [1] Opportunity Evaluation - The focus is on conviction plays rather than safe bets, evaluating each opportunity based on its risk/reward profile, aiming for limited downside and explosive upside [1] - The belief is that the best returns come from recognizing where investor belief lags behind reality [1] - The process includes deep research and signals that others may overlook, such as shifts in narrative and early social traction [1]

Core Insights - Over the past three years, AI stocks have significantly outperformed the market, with the S&P 500 rising over 78%, but recent volatility has raised concerns among investors [1][2] - The current market sentiment is cautious, as indicated by the spike in the fear gauge, the CBOE Volatility Index (VIX), which recently reached 24, suggesting expectations of increased volatility ahead [2][6] Group 1: Market Performance and Sentiment - AI stocks have been a major driver of market gains, with notable companies like Nvidia, Palantir Technologies, and Meta Platforms leading the charge [2][3] - Investors have recognized the transformative potential of AI, which can enhance various sectors, leading to lower costs and increased revenues over time [3][4] - Despite high demand for AI, there are concerns regarding whether current spending levels are justified, particularly in light of geopolitical tensions and economic uncertainties [5] Group 2: Investment and Spending Trends - Major tech companies have committed nearly $700 billion in capital spending this year, much of which is directed towards developing AI infrastructure [4] - The ongoing geopolitical issues, such as the war in Iran, and uncertainty regarding U.S. interest rate cuts have contributed to market instability and investor apprehension [5]

Core Insights - Microsoft is currently the cheapest stock in the "Magnificent Seven" based on price-to-earnings ratio, with a P/E of 25, the lowest since the bear market in 2022 [1] - Despite being inexpensive, there is no guarantee of a stock rebound, raising questions about whether investors should buy or remain cautious [2] Financial Performance - Microsoft faces challenges due to its significant partnership with OpenAI, with 45% of its $625 billion backlog linked to this relationship, creating revenue uncertainty [5] - The company has invested heavily in AI, spending $49 billion in the first half of fiscal 2026, and is projected to reach $100 billion in capital expenditures for the fiscal year [6] - Microsoft maintains strong financial health, holding $89 billion in liquidity and generating over $97 billion in free cash flow in the last 12 months, indicating capacity to support its investments [7] - Revenue for the first half of fiscal 2026 reached $159 billion, an 18% year-over-year increase, while net income rose by 36% to $66 billion, reflecting effective expense management [9] Market Outlook - The AI industry is projected to grow at a compound annual growth rate (CAGR) of 31% through 2033, potentially reaching a size of $3.5 trillion, suggesting that Microsoft's investments may yield significant returns [8] - Despite recent stock price declines, Microsoft's stock has remained flat over the past year, contributing to its current P/E ratio of 25, prompting investors to evaluate the stock's attractiveness [10]

Artificial intelligence (AI) stocks have sold off in recent months. Elevated valuations and staggering capital expenditures (capex) spending have spooked some investors. Fortunately, that means many of these stocks trade at a significant discount from their highs. Since AI growth is on track to continue, rising revenues and lower valuations could put these AI stocks on track to double. Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an ...

Core Insights - Alibaba's net income experienced a significant decline of 66% year-over-year (YOY) in the fourth quarter of 2025, indicating substantial financial pressure on the company [1] - The company has been making substantial investments in artificial intelligence (AI), which may be a strategic move to enhance its competitive position in the market despite the current financial downturn [1] Financial Performance - The net income for Alibaba in the fourth quarter of 2025 fell by 66% compared to the same quarter in the previous year, highlighting a sharp decrease in profitability [1] Strategic Investments - Alibaba is heavily investing in AI technologies, suggesting a focus on innovation and long-term growth potential, even amidst short-term financial challenges [1]

Wednesday's trading session holds a heavy atmosphere of caution. A triple threat of intensifying geopolitical conflict, stubborn inflation data, and an imminent Federal Reserve decision keeps investors on the defensive today. With the Federal Reserve set to take center stage at 2:00 p.m. ET, investors aren't exactly in a buying mood. Instead, the major indexes are nursing losses as a string of troubling headlines hits the tape. Will AI create the world's first trillionaire? Our team just released a report ...

Core Insights - Gradient, an early-stage venture fund focused on AI companies, has closed its fifth fund at $220 million, reflecting the significant growth and interest in the AI sector since its inception in 2017 [3][6] - The number of companies fitting Gradient's investment thesis has surged from 100 per year to 1,500-2,000 annually post-ChatGPT, indicating a booming interest in AI startups [4] - Gradient has shifted its due diligence process to leverage engineering skills, emphasizing the importance of product functionality in potential investments [4] Fund Performance and Strategy - Gradient has backed notable companies such as Lambda, Oura, and Streamlit, with successful exits including CentML, Prepared, and Streamlit, which was acquired for approximately $700-$800 million [3] - The firm has taken on outside limited partners (LPs) for the first time, indicating a strategic shift to diversify funding sources and respond to increased institutional interest [6] - Gradient's management team expresses caution regarding large seed rounds exceeding $100 million, citing a lack of historical success for startups raising such amounts in seed funding [5] Market Context - The AI sector has evolved from a niche market to a mainstream focus, with widespread recognition of its potential for value creation, described as the largest platform shift in history by Gradient's team [7] - Initial skepticism about AI investments has transformed into a competitive landscape where nearly every firm is now AI-focused, highlighting the rapid change in market perception [2][3]