Software companies' business models are 'under assault' from AI

Key Concepts

• AI-Driven Productivity: The core argument revolves around the significant increase in productivity enabled by AI, impacting software demand and employment.
• Legacy Software Repricing: Existing software companies are facing a re-evaluation of their market value due to the changing landscape.
• Terminal Value Shift: The long-term potential (terminal value) of established software firms is diminishing as AI-native companies emerge.
• Crypto Treasury Management: The development of a new generation of crypto treasury systems focused on hedging and risk management.
• Bitcoin Volatility & Capitulation: Discussion of Bitcoin’s recent price action, potential for further decline, and the concept of full market capitulation.

Software Stocks & the AI Revolution

The conversation centers on a pessimistic outlook for legacy software stocks despite overall bullishness on Artificial Intelligence (AI). The speaker believes the recent decline in software stock multiples is a “repricing” reflecting a fundamental shift in the market, not a temporary dip for a V-shaped recovery. This repricing is directly linked to increased productivity driven by AI, reducing the need for extensive hiring and, consequently, the demand for software licenses based on per-seat pricing.

He specifically cites Salesforce as an example, noting its historical reliability in consistently increasing per-seat pricing and expanding its reach is now threatened. The “terminal value” of these established software companies is decreasing as new investment flows towards AI-native businesses built from the ground up with AI tools. He states, “The terminal value on all these legacy software names have changed. It’s the going to be the AI names coming up uh building from the ground up with the with the AI tools that are going to uh attract the the the new investment dollars.”

The speaker argues that companies like Salesforce, Workday, and ServiceNow are effectively “in limbo” and are not viable investment options. While they may attempt to integrate AI to improve internal productivity, their core business models are fundamentally challenged by the AI revolution. He frames their situation as attempting to “slow the melting ice cube.”

The Productivity Paradigm Shift

A key point is the dramatic increase in productivity enabled by AI. The speaker illustrates this with his own venture, EMJX, a next-generation crypto treasury with hedging and risk intelligence. He explains that building a billion-dollar business with a team of only 10-12 engineers is now feasible, a scenario previously unimaginable. He emphasizes, “You know, in the past, it would have been preposterous to me to imagine building that size business with that size team. you would have had to you know envision adding hundreds of engineers, hundreds of you know product people and so forth and the game has changed.”

This individual example is extrapolated to the broader economy, suggesting a significant reduction in the need for both jobs and legacy software tools. The increased productivity will reduce the demand for software “seats” as fewer employees require licenses.

Bitcoin & Crypto Market Analysis

The discussion shifts to Bitcoin, acknowledging a recent stabilization but cautioning against premature optimism. Compass Point’s analysis is mentioned, highlighting the possibility of another price decline despite the recent rebound. Conflicting perspectives are presented, with Bernstein maintaining a bullish outlook of $150,000 by year-end, while others predict a drop into the $50,000 range, potentially not bottoming out until summer.

The upcoming earnings reports from Robinhood and Coinbase are viewed as critical indicators. While Robinhood has diversified beyond crypto, the market will be closely watching whether its other businesses can offset potential weakness in crypto revenue. The speaker notes the high number of buy ratings on Robinhood (24 buy vs. hold) suggesting an expectation of positive performance from its diversified portfolio.

Regarding Bitcoin specifically, the speaker expresses skepticism about the recent price increase, labeling it a potential “deadcat bounce.” He emphasizes the importance of observing market positioning, noting significant short positions and unresolved long positions in the futures market, which could indicate further downside risk. He states, “I think you want to be cautious about jumping into the pool.” He also points out that a true market capitulation hasn’t occurred yet, as many long-term bulls haven’t sold their positions.

EMJX & the Future of Crypto Treasuries

The speaker details his motivation for building EMJX, a second-generation crypto treasury. He identifies a gap in the market for treasury management systems capable of handling the recent volatility experienced in cryptocurrencies. He criticizes existing “generation one” treasuries for lacking effective mechanisms to address such volatility, relying instead on a long-term “wait and see” approach.

EMJX aims to provide a more sophisticated system with detection and hedging capabilities, allowing investors to be bullish on Bitcoin and Ethereum while mitigating the risk of steep drawdowns. He draws a parallel to Google’s founding during the dot-com winter, suggesting that challenging times often present opportunities for innovation. He explains, “The market is hungry for a treasury that does have a more sophisticated uh detection system uh and hedging system to kind of allow you to be bullish on Bitcoin and Ethereum uh but to do so in a less volatile way that doesn't see as steep draw downs.”

Logical Connections & Synthesis

The conversation establishes a clear connection between the rise of AI, the decline of legacy software, and the evolving landscape of crypto. The increased productivity driven by AI reduces the demand for traditional software, while simultaneously creating opportunities for innovative solutions in areas like crypto treasury management. The speaker’s own venture, EMJX, exemplifies this trend. The cautious outlook on Bitcoin is presented as a separate but related point, highlighting the inherent volatility of the crypto market and the need for sophisticated risk management tools.

Main Takeaway: The future of software and investment lies in AI-driven innovation, not in clinging to outdated business models. While AI presents opportunities, investors should exercise caution and avoid chasing short-term rallies in either legacy software or volatile crypto assets. A focus on productivity, risk management, and building solutions for the new AI-powered economy is crucial.