SaaSpocalypse Cancelled, Palantir’s $17M Jet Bill, WBD x Netflix Latest | Dylan Field, Saagar Enjeti, Sigil Wen, Peter Morales, Erik Palitsch, Ljubisa Bajic
SaaSpocalypse Cancelled, Palantir’s $17M Jet Bill, WBD x Netflix Latest | Dylan Field, Saagar Enjeti, Sigil Wen, Peter Morales, Erik Palitsch, Ljubisa Bajic
Podcast3 hr 27 min
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

A bidding war for Warner Brothers Discovery (WBD) presents a merger arbitrage opportunity, with Paramount (PARA) offering $30 per share and Netflix (NFLX) bidding $27.75. Consider Shopify (SHOP) as a resilient e-commerce leader poised to benefit from AI, a view supported by a new investment from Altimeter's Brad Gerstner. A potential disconnect exists in Roblox (RBLX), whose stock is down significantly despite strong user growth, suggesting a possible value opportunity. Ethereum (ETH) is presented as an undervalued asset, trading below $2,000 even as major AI labs build tools for its ecosystem. Finally, freelance platforms like Fiverr (FVRR) and social media laggard Snap (SNAP) face strong headwinds from AI disruption and internal turmoil, signaling caution.

Detailed Analysis

SaaS (Software as a Service) Sector

• The podcast declares the "SaaSpocalypse"—the idea that AI will destroy all traditional SaaS businesses—is being canceled, or at least is not affecting all companies equally. • The hosts believe a bifurcation is occurring between "sloppable" companies that will be disrupted and "unsloppable" companies that are resilient or will even benefit from AI. • The core threat to SaaS was that agentic AI and foundation models are "counter-positioned against traditional seat-based SaaS pricing." Pivoting a business model, culture, and organizational structure is extremely difficult for legacy companies. • However, earnings season is showing that many SaaS companies are still growing and are not seeing revenue declines, which would be the ultimate signal of disruption.

Takeaways

• The indiscriminate selling of all SaaS stocks due to AI fears may have been an overreaction. • Investors should look for "unsloppable" companies with strong business models, network effects, and clear strategies for integrating AI without cannibalizing their existing revenue. • Pay close attention to how CEOs on earnings calls explain their AI strategy and its impact on their pricing models. As seen with Shopify, a clear explanation can reassure the market.


Shopify (SHOP)

• Shopify is presented as a prime example of an "unsloppable" company that will benefit from the AI era. • The threat of someone "vibe coding" an e-commerce website is dismissed because Shopify is not a major cost driver for most businesses (around $1,000/month), and it solves a lot of headaches. • Bullish points mentioned: - It is a very full-featured platform, making it difficult to replace. - It has a massive amount of context and data across its platform that AI tools can leverage. - An "Agent of Commerce" would likely act as a front-end that still uses Shopify Checkout, meaning the economics for Shopify would remain the same or even improve by driving more activity. • The CEO, Harley Finkelstein, is praised for effectively explaining on their earnings call how agentic checkout happens on top of Shopify's existing infrastructure, preserving their economics. • Prominent investor Brad Gerstner (Altimeter) was mentioned as having bought a new position in Shopify.

Takeaways

• The podcast presents a strong bullish case for Shopify, suggesting its business model is defensible against AI disruption and may even be enhanced by it. • The core of Shopify's business, particularly its checkout and payment infrastructure, is viewed as a durable asset.


Roblox (RBLX)

• Roblox had a fantastic year in a gaming industry that otherwise had a bad year. It captured 67% of global non-China spending growth in gaming. • Despite this strong performance, the stock is noted as being down approximately 50%. • The platform is seen as a potential beneficiary of AI, as "vibe coding" a video game could lead to more content and experiences within the Roblox ecosystem. Roblox acts as the aggregator and filter for this new content. • Monetization is 5 times lower than platforms like TikTok or Instagram on a per-minute basis, suggesting significant room for growth through ads or other in-game purchases. • Risk factor mentioned: A key question remains whether users will "age out" of Roblox or if the platform can attract and retain an older demographic.

Takeaways

• There appears to be a disconnect between Roblox's strong business performance and its stock price, which could represent an opportunity. • The company has significant upside potential if it can increase its monetization per user to levels closer to other social platforms. • The long-term growth story depends on its ability to retain users as they get older.


Warner Brothers Discovery (WBD), Netflix (NFLX), & Paramount (PARA)

• A major bidding war is underway for Warner Brothers Discovery (WBD) between Netflix (NFLX) and Paramount (PARA). • Netflix has bid $27.75 per share (approx. $82.7 billion) for WBD's studio and streaming businesses, but does not want the linear TV assets (CNN, HGTV, etc.). • Paramount has offered $30 per share (approx. $108 billion) for the entire company. • The podcast notes that Netflix has ample cash ($9 billion) and could increase its offer. • The deciding factor will likely be price, but the deals are not "apples to apples" because of the different assets each bidder wants. The value of the linear TV networks that Netflix would leave behind is a key variable. • Risk factor mentioned: One host expressed skepticism that a Netflix acquisition of WBD would get regulatory approval, especially if the Trump administration is souring on it.

Takeaways

• This is a classic merger arbitrage situation. The final price for WBD will likely be determined by this bidding war. • Investors in WBD, NFLX, and PARA should monitor the situation closely, as the outcome will have significant implications for all three companies and the broader media landscape. • Regulatory approval is a major risk, particularly for the Netflix bid, which could create a media giant that regulators might see as anti-competitive.


Palantir (PLTR)

• The discussion focused on a Financial Times report about CEO Alex Karp's use of the company's executive aircraft. • The company incurred $17.2 million in expenses for his travel in 2025, more than double the $7.7 million from 2024. • An analyst calculated this could equate to between 1,147 and 2,400 flight hours, or 13% to 28% of the year spent in the air. • While an analyst from Jefferies called the expense "elevated relative to peers," the podcast hosts defended it, arguing that Karp is a "global deal maker" and international travel is essential for securing the large contracts that are driving Palantir's growth.

Takeaways

• This is more of a corporate governance observation than a direct investment thesis. • The high travel expense can be viewed in two ways: as excessive executive spending or as a necessary cost of doing business for a company reliant on securing large, international deals. Investors should decide if they believe the return on this travel investment is justified by the deals being signed.


NVIDIA (NVDA)

• The sentiment around NVIDIA in the podcast is overwhelmingly bullish. • It was mentioned humorously in a fake wedding registry, featuring high-end GPUs like the B200 and H100, highlighting their desirability. • Prominent investor Brad Gerstner (Altimeter) was noted as having added to his already existing position in NVIDIA. • The CEO was quoted as preparing "new chips the world has never seen before," signaling continued innovation and market leadership.

Takeaways

• NVIDIA continues to be positioned as the dominant leader in the AI hardware space. • Strong signals from major investors and the company's own forward-looking statements suggest continued confidence in its growth trajectory.


Other Public Companies & Cryptocurrencies

Google (GOOGL)

• Mentioned as a "comeback" story and an early victim of the "SaaSpocalypse" that has since recovered. • Its core search business is "surviving and thriving," partly because Gemini AI helps it deliver better ads on more complex search queries. • Takeaway: Google has successfully integrated AI to defend and enhance its core advertising business, demonstrating its resilience.

Meta (META)

• Described as "unsloppable" because its transformer-based ad models are "absolutely destroying ad targeting" and re-accelerating revenue growth. • This business strength exists even before the full rollout of its new frontier AI models, suggesting a strong underlying foundation. • Takeaway: Meta's use of AI in its core ad business is a massive driver of value, making it a key AI beneficiary regardless of its consumer-facing AI product success.

Fiverr (FVRR) & Upwork (UPWK)

• A new paper from Ramp was cited, showing businesses are shifting spending from freelancers to AI, with some saving up to 97%. • This trend is presented as a direct threat to freelance marketplaces. • Fiverr's stock is down 96% over the last five years, and Upwork is down 30% year-to-date. • A "billion-dollar business idea" was floated to take Fiverr private and pivot it into a data labeling company. • Takeaway: The sentiment is highly bearish. These platforms face significant disruption from AI, which is automating many of the one-off tasks their freelancers traditionally performed.

Amazon (AMZN)

• The company's AI chatbot, Rufus, was reportedly used by 300 million customers and drove $12 billion in incremental annualized sales in 2025. • Investor Brad Gerstner also added to his Amazon position. • Takeaway: This is a concrete example of a large tech company successfully using AI to drive significant revenue, showcasing the tangible business impact of AI applications.

Ethereum (ETH)

• OpenAI announced EVM Bench, a new benchmark for testing AI agents on smart contract vulnerabilities. • This is seen as a bullish signal for the Ethereum ecosystem, as it shows a major AI lab is taking the platform seriously. • A host noted that despite this, ETH is "still below $2,000," implying a potential disconnect between its technological importance and its market price. • Takeaway: Increased attention and tool-building from top AI companies could be a long-term positive catalyst for the Ethereum ecosystem and its valuation.

Snap (SNAP)

• The company's stock is at an "all-time low." • The head of its augmented reality glasses ("specs") division is out after a reported "blow-up" with CEO Evan Spiegel over strategy. • This turmoil is happening right before the launch of what Spiegel called a "crucible moment" for the company. • Takeaway: The sentiment is bearish. Internal conflict and leadership departures in a critical division ahead of a make-or-break product launch are significant red flags.


Private Companies & Investment Themes

Brad Gerstner's (Altimeter) Portfolio Moves

• The podcast highlighted recent moves by the prominent tech investor, which can be a signal for retail investors. • New Positions Bought: CoreWeave (Private), Shopify (SHOP)Positions Sold: Arm (ARM), Alibaba (BABA)Added to Existing Positions: NVIDIA (NVDA), Microsoft (MSFT), Amazon (AMZN), TSMC (TSM), Google (GOOGL)Takeaway: Gerstner's moves show a clear, concentrated bet on the AI supply chain (NVIDIA, Microsoft, TSMC, Google, Amazon) and a belief in specific "unsloppable" application companies like Shopify.

AI Hardware & Data Centers

Talos (Private): A new company building model-specific AI chips. They "cast a model straight into silicon," making it extremely fast and cheap for inference, but inflexible (a new chip is needed for a new model). They raised $220 million. • Code Metal (Private): An AI verification company that helps translate high-level software to low-level hardware for mission-critical systems. They just raised a $125 million Series B. • Data Center Backlash: The podcast noted a growing "populist backlash" in local communities against the construction of new data centers due to concerns about power consumption and land use. • Takeaway: While the demand for AI compute is exploding, investors should be aware of the physical-world constraints and potential for local political opposition to data center construction, which could impact the buildout plans of major cloud providers. New, more efficient hardware solutions from companies like Talos could become critical.

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Episode Description
Sign up for TBPN’s daily newsletter at TBPN.com (00:59) - We're Cancelling the the SaaSpocalypse (16:47) - 𝕏 Timeline Reactions (38:37) - Palantir Jet Costs $17M Annually (46:16) - WBD x Netflix Bid Update (59:21) - eBay to Buy Depop (01:01:42) - 𝕏 Timeline Reactions (01:16:56) - Elite Lawyer Fees Hit Record Highs (01:22:30) - Older Consumers Drive 2026 Growth (01:27:24) - 𝕏 Timeline Reactions (01:41:51) - Sigil Wen discusses his concept of Web 4.0, envisioning an Internet where AI acts as the end user, capable of autonomously performing tasks and making payments without human intervention. He introduces the "automaton," a self-sufficient AI model that can self-edit its code, manage its own compute resources, and generate income to sustain its operations. Wen emphasizes the importance of building this new Internet openly to ensure safety and transparency as AI becomes increasingly integrated into digital ecosystems. (01:59:33) - Saagar Enjeti is an American journalist and political commentator, best known as the co-host of the independent news program "Breaking Points" alongside Krystal Ball. In the conversation, Enjeti discusses the impact of social media and technology on children, emphasizing the addictive nature of devices like iPads and the challenges parents face in regulating screen time. He highlights the importance of setting boundaries and the potential benefits of government regulation to mitigate the negative effects of technology on youth. (02:33:04) - Dylan Field, co-founder and CEO of Figma, a web-based vector graphics editing software company, discusses the company's impressive 2025 performance, highlighting a 40% year-over-year revenue growth to $1.046 billion and the successful launch of four new products, including Figma Make, an AI-powered prototyping tool. He emphasizes the importance of design in product development and the role of AI in enhancing creativity, noting that 60% of Figma Make users are non-designers, reflecting the platform's accessibility and broad appeal. Field also shares insights on the evolving design landscape, expressing excitement about increased innovation and diversity in digital product aesthetics and user experiences. (02:54:04) - Peter Morales, CEO of Code Metal, discusses his journey from defense and AI research to founding the company, highlighting his work on AI algorithms for the F-35 fighter jet and at MIT Lincoln Laboratory. He explains Code Metal's mission to automate the translation of high-level code into hardware-optimized, production-ready code, addressing challenges in deploying AI on edge devices. Morales also announces a $125 million Series B funding round and the appointment of Ryan, former CEO of Tableau, as President and COO to support the company's growth. (03:03:02) - Erik Palitsch, CEO and Co-Founder of Freeform, discusses the company's development of Skyfall, an advanced laser melting platform, and their recent $67 million Series B funding led by Linz Capital, with participation from NVIDIA, Founders Fund, Threshold, and Two Sigma Ventures. He highlights the growing demand across various sectors, emphasizing the importance of flexible manufacturing in today's geopolitical climate and the acceleration of product design driven by AI advancements. Palitsch also notes that Freeform is currently producing mission-critical parts for multiple frontier programs and plans to expand their team significantly over the next year. (03:12:11) - Ljubisa Bajic, a seasoned chip designer and CEO of Taalas, discusses his company's innovative approach to AI hardware by embedding AI models directly into silicon, resulting in ultra-fast, cost-effective responses. This method sacrifices flexibility for performance, enabling immediate, large-scale outputs at minimal cost. Bajic also highlights the simplicity and efficiency of their chips, which integrate seamlessly into standard servers without the need for complex cooling systems or high-speed I/O, making advanced AI capabilities more accessible and affordable. 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