Microsoft’s Energy Tab, OpenAI Goes Super Bowl, Ellison Makes His Move | Marc Benioff, Brian Chesky, Baiju Bhatt, Gabriel Carafa, Alfred Wahlforss
Microsoft’s Energy Tab, OpenAI Goes Super Bowl, Ellison Makes His Move | Marc Benioff, Brian Chesky, Baiju Bhatt, Gabriel Carafa, Alfred Wahlforss
Podcast3 hr 39 min
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Oracle (ORCL) is a key "picks and shovels" investment for the AI infrastructure boom, providing essential computing power to major AI players. Consider Salesforce (CRM) a strong buy due to its successful AI product integration and financial strength for making strategic acquisitions. Microsoft (MSFT) is effectively managing the major risk of high energy costs, reinforcing its leadership position in the AI sector. View the recent dip in JPMorgan (JPM) stock as a buying opportunity, as its acquisition of the Apple Card program is a long-term strategic positive. Finally, prepare for a wave of mega IPOs around 2026 from companies like OpenAI and SpaceX by watching for their public financial filings.

Detailed Analysis

AI & Data Center Power Consumption (Investment Theme)

  • The massive power consumption of AI data centers is a major topic, identified as the "biggest issue for AI companies to contend with in 26."
  • Demand for electricity is surging while supply in the US has been flat for decades, leading to price increases. This is a basic supply and demand issue.
  • A Bloomberg report mentioned a 267% increase in wholesale electricity prices for consumers living near data centers.
  • This is causing significant backlash from local communities, leading to $64 billion in data center projects being delayed or canceled due to local opposition (NIMBYism - "Not In My Backyard").
  • The opposition is bipartisan, with one group claiming it's 55% Republican and 45% Democrat.
  • New power infrastructure, like nuclear plants from companies like General Matter and Radiant, is years away from coming online, with timelines stretching to the "end of the decade."

Takeaways

  • The growth of the entire AI industry is facing a major bottleneck: energy. This is a primary risk factor for investors in AI-heavy companies like hyperscalers (MSFT, GOOGL, AMZN) and data center operators.
  • Investors should monitor how companies are mitigating this risk. Microsoft's proactive strategy to pay more for power is a key example of managing this political and social challenge.
  • This theme creates opportunities for companies involved in power generation, grid infrastructure, and energy efficiency solutions. The discussion highlights that new nuclear power is a long-term solution, but there are significant hurdles.

Microsoft (MSFT)

  • Microsoft is taking a "first mover" approach to address the political backlash from high energy costs associated with their data centers.
  • They have publicly committed to paying higher electricity rates to ensure the costs of their data centers "aren't passed on to consumers." This was framed as a smart PR and political move.
  • The financial impact is considered manageable. A potential 50% premium on their electricity costs would amount to about $1 billion, which is less than 1% of their operating income.
  • The company has ambitious environmental goals, planning to be carbon neutral by 2030 and so carbon negative by 2050 that they will have offset all emissions since the company's founding.

Takeaways

  • Bullish Sentiment. Microsoft is effectively managing a key business risk associated with the AI boom. By absorbing the extra energy costs, they are mitigating political and community opposition to data center expansion.
  • This move strengthens their leadership position in AI by demonstrating social responsibility and ensuring their growth path is not derailed by public backlash, a risk that affects the entire industry. The cost is minor relative to their overall profits.

Salesforce (CRM)

  • CEO Marc Benioff discussed the successful launch of Slackbot, an AI assistant powered by Anthropic that provides summaries and answers questions using a company's internal Slack data.
  • Benioff highlighted the importance of "context engineering"—using a company's own proprietary data to get useful AI responses, which he sees as a key differentiator.
  • The company is seeing massive productivity gains from AI. Engineering headcount has been held flat, while they have hired 20% more account executives, showing where they see value shifting.
  • Salesforce recently acquired data management company Informatica for $9 billion to strengthen its data capabilities, reinforcing the idea that "if you don't have your data right, you don't have your AI right."
  • The company is highly profitable, with over 34% operating margins, and is generating significant cash flow ($15-16 billion a year), which will be used for buybacks, dividends, and more M&A.

Takeaways

  • Bullish Sentiment. Salesforce is successfully integrating AI into its core products to create a strong competitive moat. Their strategy is centered on leveraging each customer's unique data, which is a powerful lock-in mechanism.
  • The company's strong financial position gives it significant firepower to acquire other companies in a market where many smaller software companies are struggling (the "SaaSpocalypse"). This makes Salesforce a strategic acquirer to watch.

Mega IPOs (Investment Theme)

  • The year 2026 is being positioned as potentially the "year of the mega IPO."
  • Specific companies expected to go public include SpaceX, OpenAI, and Anthropic.
  • An investor from Morgan Stanley was quoted saying, "we're going to get into a period of potentially unprecedented IPO deal sizes" due to the scale and impact of these private companies.
  • There is tremendous investor excitement to see the S-1 filings for these companies, which will reveal their true financial performance, including revenue, growth, and gross margins for the first time.

Takeaways

  • This is a major upcoming market catalyst. The IPOs of OpenAI, Anthropic, and SpaceX will be landmark events, attracting huge amounts of capital and attention.
  • For investors, the release of the S-1 filings will be a critical moment to perform due diligence and understand the underlying business models and profitability of these AI and space leaders before they become publicly traded.

OpenAI (Private)

  • OpenAI is running another Super Bowl ad, signaling a major push for mainstream consumer adoption. The ad is expected to be more pragmatic and focused on everyday use cases than their previous, more abstract ad.
  • The company's reported 800 million weekly active users figure is considered "woefully out of date" and is likely much higher, suggesting they are sandbagging their true growth numbers.
  • They signed a massive, multi-billion dollar deal with AI chipmaker Cerebras for compute capacity, reportedly worth $10 billion through 2028. This is likely for AI inference (running the models).
  • The ongoing lawsuit from Elon Musk is a notable headline risk.

Takeaways

  • Bullish Sentiment. OpenAI continues to dominate the AI landscape. Their massive marketing spend and strategic hardware deals indicate a focus on both consumer growth and securing the long-term compute power needed to stay ahead.
  • The Cerebras deal is significant as it shows OpenAI is diversifying its hardware suppliers beyond NVIDIA, a crucial step to de-risk its supply chain and scale operations. Their eventual IPO is one of the most anticipated in history.

Cerebras (Private)

  • Cerebras, an AI chip company, signed a massive agreement with OpenAI to provide compute infrastructure.
  • The deal is reportedly worth $10 billion and extends through 2028.
  • This news is fueling rumors that Cerebras is raising $1 billion in new funding at a $22 billion valuation.

Takeaways

  • Extremely Bullish Sentiment. This partnership with the world's leading AI company is a monumental validation of Cerebras's technology. It positions them as a serious player and a viable alternative in the AI chip market, which is currently dominated by NVIDIA.
  • This makes Cerebras a top company to watch for a potential IPO. The deal significantly de-risks their business model and signals strong demand for their specialized hardware.

JPMorgan Chase (JPM) & Goldman Sachs (GS)

  • JPMorgan's stock was down after reporting a 7% drop in Q4 profit, partly due to costs from its deal to take over the Apple Card.
  • Despite the quarterly dip, JPM is strategically strengthening its ties with Apple (AAPL) by acquiring the Apple Card program and its roughly $20 billion in balances from Goldman Sachs.
  • Goldman Sachs is exiting the partnership, ending its "failed venture into consumer lending" that resulted in billions of dollars in losses.

Takeaways

  • For JPM: A strategic positive. While the deal caused a short-term hit to profits, acquiring the Apple Card program is a long-term win that deepens its relationship with a tech giant and expands its consumer credit business.
  • For GS: A necessary retreat. Exiting the Apple Card deal allows Goldman to cut its losses from a struggling consumer business and refocus on its core strengths. This is a positive move for shareholders who want the firm to shed unprofitable ventures.

Oracle (ORCL)

  • The profile of Larry Ellison's son, David, highlighted Oracle's increasingly critical role in the AI boom.
  • Oracle is described as providing "back-end computing power for OpenAI and others looking to build LLMs."
  • The transcript notes that after an AI-related report, Oracle's stock rose so much that Larry Ellison's net worth increased by $89 billion in a single day.

Takeaways

  • Bullish Sentiment. While sometimes viewed as a "boring" tech giant, Oracle is a crucial and highly leveraged player in the AI infrastructure build-out.
  • The stock's massive reaction to AI news indicates that the market recognizes its potential for significant growth from this theme. It represents a "picks and shovels" play on the AI gold rush.

Other Notable Mentions

  • Google (GOOGL): Introduced "Personal Intelligence" for its Gemini AI, which connects to a user's personal data in Google apps (Gmail, Photos, etc.). This is a key strategic advantage to create a more personalized and "sticky" AI product.
  • Anthropic (Private): A strong competitor to OpenAI, particularly in the enterprise market. Their Claude chatbot powers the new Salesforce Slackbot. They are also spending heavily on advertising to build consumer brand awareness ahead of a likely IPO.
  • Taiwan Semiconductor (TSM): Is expanding its US manufacturing presence, having spent $200 million on 900 acres of land in Arizona for a new facility. This is a bullish signal for de-risking the global semiconductor supply chain.
  • Aetherflux (Private): A deep-tech startup founded by Robinhood co-founder Baiju Bhatt. Their mission is to build a power grid in space to power in-orbit data centers. This is a high-risk, high-reward bet on the future of AI infrastructure and the space economy.
  • Luxury Retail (Saks, Neiman Marcus): The bankruptcy of these major luxury department stores is a strong bearish signal for the traditional, multi-brand retail model. The trend favors direct-to-consumer (DTC) and brand-owned stores.
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Episode Description
Sign up for TBPN’s daily newsletter at TBPN.com (03:01) - Microsoft and the AI Power Backlash (30:44) - OpenAI's Superbowl Ad (48:55) - Google Launches Personal Intelligence (01:04:36) - David Ellison Eyes Hollywood Throne (01:29:51) - Brian Chesky, co-founder and CEO of Airbnb, discussed the company's strategic focus on integrating artificial intelligence (AI) to enhance user experiences. He emphasized the importance of developing AI interfaces that go beyond traditional chatbots, aiming for more intuitive and visual interactions. Chesky also highlighted the potential of AI to revolutionize consumer applications, particularly in the travel and living sectors, by offering personalized and seamless services. (01:54:01) - 𝕏 Timeline Reactions (02:04:03) - Baiju Bhatt, co-founder of Robinhood and founder of Aetherflux, discusses his new venture's mission to build a power grid in space by deploying satellites in sun-synchronous orbits to collect continuous solar energy and beam it to Earth using infrared lasers. He highlights the advantages of space-based solar power, such as consistent energy generation and the ability to provide power to remote or contested areas, with initial applications targeting Department of Defense needs. Bhatt also reflects on the challenges of transitioning from finance to aerospace, emphasizing the importance of rapid iteration and learning in developing innovative technologies. (02:38:31) - Gabriel Carafa, co-founder and CEO of Noise Labs, discusses the development of Noise, a trading platform that allows users to long or short trends, brands, and ideas by integrating market activity with social data from platforms like TikTok, Instagram, and Twitter to objectively measure cultural relevance. He highlights the platform's ability to identify emerging trends, such as the rise of indie rock music over the past 18 months, and emphasizes the importance of markets in predicting future shifts in relevance, moving beyond traditional social media metrics. Carafa also addresses challenges like distinguishing genuine interest from manipulated data, underscoring the platform's reliance on market-based relevance where users invest capital, thereby reflecting authentic engagement. (02:47:04) - Alfred Wahlforss, co-founder and CEO of Listen Labs, discusses how their AI platform conducts large-scale, personalized interviews to help companies like Chubbies develop better products by understanding customer preferences. He highlights the challenges consumer brands face in gathering meaningful insights and explains how Listen's AI overcomes these by engaging with thousands of customers, providing nuanced feedback that informs product development and marketing strategies. Wahlforss also shares the company's growth, including a 15x revenue increase and raising $100 million, emphasizing their focus on scaling and hiring top talent to meet demand. (03:00:53) - Marc Benioff, the co-founder, chairman, and CEO of Salesforce, is a pioneer in cloud computing and a prominent philanthropist. In the conversation, he discusses the integration of AI into Salesforce's products, highlighting the enhanced capabilities of Slackbot, which now offers advanced reasoning and personalized responses, aiming to significantly boost workplace productivity. Benioff also addresses the broader implications of AI in the enterprise, emphasizing the importance of context-aware AI agents and the need for responsible AI deployment to ensure positive outcomes. (03:32:51) - 𝕏 Timeline Reactions TBPN.com is made possible by:  Ramp - https://Ramp.com AppLovin - https://axon.ai Cognition - https://cognition.ai Console - https://console.com CrowdStrike - https://crowdstrike.com ElevenLabs - https://elevenlabs.io Figma - https://figma.com Fin - https://fin.ai Gemini - https://gemini.google.com Graphite - https://graphite.com Gusto - https://gusto.com/tbpn Labelbox - https://labelbox.com Lambda - https://lambda.ai Linear - https://linear.app MongoDB - https://mongodb.com NYSE - https://nyse.com Phantom - https://phantom.com/cash Plaid - https://plaid.com Public - https://public.com Railway - https://railway.com Restream - https://restream.io Shopify - https://shopify.com Turbopuffer - https://turbopuffer.com Vanta - https://vanta.com Vibe - https://vibe.co Sentry - https://sentry.io Cisco - https://cisco.com Follow TBPN:  https://TBPN.com https://x.com/tbpn https://open.spotify.com/show/2L6WMqY3GUPCGBD0dX6p00?si=674252d53acf4231 https://podcasts.apple.com/us/podcast/technology-brothers/id1772360235 https://www.youtube.com/@TBPNLive
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