AI is Destroying the Market?

Key Concepts

• Agentic AI: AI systems capable of autonomously breaking down complex tasks, utilizing tools (plugins), and executing actions without constant human intervention. Specifically, Anthropic’s Claude Co-work is highlighted.
• Large Language Models (LLMs): AI models like Claude and GPT, trained on massive datasets to understand and generate human-like text.
• Intrinsic Value: An estimation of a company’s true worth, based on its future cash flows, used for investment analysis.
• Dollar-Cost Averaging: An investment strategy of buying a fixed dollar amount of an investment at regular intervals, regardless of price.
• Mode (in business context): A company’s competitive advantage, often referring to its strong brand, network effects, or unique technology.
• Hallucinations (in AI context): Instances where an AI model generates incorrect or nonsensical information.

Market Panic & The AI Narrative

Recently, a broad market downturn has affected not only Software-as-a-Service (SaaS) stocks but also sectors like finance, cybersecurity, payment technology, and even private credit. This decline is driven by widespread panic regarding the potential disruptive impact of Agentic AI, specifically Anthropic’s Claude Co-work, on established businesses. The fear is that AI’s increasing ability to automate tasks will render many existing companies obsolete.

Claude Co-work & Its Capabilities

Anthropic, a major competitor to OpenAI (backed by Microsoft, Amazon, and Google), released Claude Co-work. This agentic AI tool can read and write to computer files, autonomously break down complex tasks, and generate outputs like Excel spreadsheets, PowerPoint presentations, and formatted documents. Crucially, it launched with pre-built plugins for HR, design, engineering, operations, and financial analysis.

• HR: Autonomous resume screening, onboarding document drafting, employee record organization.
• Financial Analysis: Data extraction from sources like FactSet, S&P Global, and Bloomberg, report synthesis, and Excel model creation in seconds. The speaker notes generating an Excel table that would normally take hours took less than 5 minutes.
• Operations: File organization, status report generation, document processing.

Investors are concerned that this level of automation will diminish the need for software companies like Salesforce, ServiceNow, and Adobe, as individuals can achieve similar results for a fraction of the cost (around $50/month).

Spillover Effects & Expanding Fears

The initial panic surrounding software companies spread to financial data providers (Bloomberg, S&P Global, Moody’s, FactSet) as Claude’s ability to gather and analyze financial data raised questions about the necessity of these services. This fear extended to private credit companies (BDCs) lending to software firms, as concerns arose about loan repayment. Most recently, cybersecurity companies (Palo Alto, CrowdStrike, Fortinet) have been affected due to the release of Claude Code Security, which can scan and patch code vulnerabilities. The speaker draws parallels to past technological advancements (microwave ovens and restaurants, home alarm systems and police forces), arguing that these fears are overblown.

Citrini Research Report & Macroeconomic Concerns

A viral article by Citrini Research amplified these fears, predicting massive white-collar job displacement, an unemployment rate exceeding 10%, a resulting economic depression, and a shift towards AI-driven autonomous purchasing, ultimately collapsing company margins and bypassing traditional payment rails like Visa and Mastercard. This led to a significant drop in Visa, Mastercard, and American Express stock prices.

Counterarguments & The Narrative vs. Reality Gap

The speaker strongly disagrees with this pessimistic outlook, characterizing it as “fantasy.” He argues that while AI can accelerate certain tasks, human oversight remains crucial. He cites a study by METR (Model Evaluation and Threat Research) showing that experienced developers took 19% longer to complete coding tasks when using AI tools due to the bottleneck created by code review. Google’s internal research indicated a 1.5% dip in delivery speed and a 7.2% drop in system stability with a 25% increase in AI adoption. He also points to companies like Clarona and IBM quietly rehiring employees after initial AI-driven layoffs due to declining quality and the inability of AI to handle tasks requiring empathy.

Real Culprits of Weak Job Growth

The speaker contends that the weak job growth is not primarily due to AI, but rather to three factors: trade policy uncertainty (tariffs), a collapse in immigration, and cuts in government spending. He notes that job growth in 2025 was significantly lower than in 2024 (181,000 vs. 1.4 million jobs created).

Investment Strategy & Specific Company Analysis

The speaker views the current market downturn as an irrational sell-off, presenting a buying opportunity. He emphasizes the importance of focusing on companies with strong fundamentals and long-term potential. He has been actively buying stocks, employing a dollar-cost averaging strategy.

• Microsoft: He is bullish on Microsoft, believing it will benefit regardless of the outcome of OpenAI, as he also owns Amazon and Google (which owns Anthropic). Microsoft’s intrinsic value is estimated at $557, while the current price is $400.
• Palo Alto Networks: He views Palo Alto as a leader in cybersecurity, a growth industry, and is actively looking to increase his position.
• CrowdStrike: While he owns CrowdStrike, he considers it currently overvalued and is selling cash-secured puts to potentially acquire shares at a lower price.
• ServiceNow: He highlights ServiceNow as a company poised to benefit from AI and currently trading at a significant discount (selling at $104 against a $206 valuation).
• Nvidia: Mentioned briefly, with the speaker noting recent positive results and a slight stock increase.

Notable Quotes

• “The reason we are so rich is because people are so often wrong.” – Charlie Munger (attributed by the speaker)
• “AI will not replace you, but someone who knows AI will replace you in your job.”
• “There's always a big gap between narrative and actual real world deployment results.”

Conclusion

The speaker believes the current market panic driven by fears of Agentic AI is largely unfounded. While AI will undoubtedly transform the workplace, it is unlikely to cause the widespread job displacement and economic collapse predicted by some. He advocates for a rational, long-term investment approach, focusing on fundamentally strong companies trading at discounted prices. He is actively buying stocks, particularly in Microsoft, Palo Alto, CrowdStrike, and ServiceNow, and emphasizes the importance of dollar-cost averaging to mitigate risk. He concludes by urging viewers to stay safe, stay rational, and remember that market corrections often present lucrative investment opportunities.