u/Fatloh ·
Reddit — r/investing
· March 12, 2026 at 02:28
· ⬆ 243 pts
· 💬 425 comments
| View on Reddit ↗
AI Summary
Summary
The post author, u/Fatloh, questions the "AI bubble" narrative, arguing that the real-world application and monetization potential of AI make it fundamentally different from the dot-com era.
The author's thesis is that AI companies are poised for profitability due to cost savings for their customers and direct service fees, suggesting the current high valuations are justified.
Quality assessment: This is speculation and a request for advice, not well-researched due diligence. The author's understanding of market bubbles is superficial, as pointed out by the community.
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I’m pretty young and already am investing into AI companies. I see a lot of people saying it’s like the dot com pop from the 2000s. But I don’t understand that. I already see AI being used at fast food chains, and companies using them for simple task management. These companies will likely save a lot by not having to hire workers to do these tasks. And the bigger companies who produce these AI models I would assume they would charge for their services. So how would there not be profit? I need some real advice on how much I should focus on AI investments
The current AI race requires unsustainable capital expenditure, even for giants like Google and Microsoft. Apple is taking a more measured approach, avoiding the massive upfront cash burn of being first and instead focusing on developing the "best" implementation, learning from competitors' mistakes. This strategic patience could position Apple to be a long-term winner in AI by entering with a more refined and potentially more profitable product, making it a stock to watch for a better entry point. Apple's slower approach could cause it to fall too far behind competitors, ceding critical market share and data advantages in the AI space.
AI is already being implemented in real-world applications like fast food and task management, demonstrating tangible utility. This utility will lead to significant cost savings for adopting companies and direct revenue for AI service providers, ensuring long-term profitability and growth for the sector. The author believes the AI sector's growth is sustainable and not a bubble, justifying long-term investment in leading AI and technology companies. QQQ serves as a proxy for broad exposure to this theme. The market may be overvaluing future profits, leading to a valuation-driven correction (a "bubble pop") even if the technology succeeds long-term. Profitability may take longer to achieve than expected.
During the dot-com bubble, Cisco (CSCO) traded at a peak market cap of nearly $600B, a P/FCF multiple of ~150x. Despite being a fundamentally good company that tripled its profits over the next 25 years, it took the stock a quarter-century to recover its peak price because the initial valuation was excessively high. This serves as a cautionary tale for investing in high-flying AI stocks. Even a great company is a poor investment if bought at an extreme valuation, making similarly valued stocks an "avoid" until prices rationalize. The growth potential of today's top AI companies could be exponentially larger than Cisco's was, potentially justifying higher-for-longer valuations.
This Reddit post, published March 12, 2026,
features u/Fatloh
discussing AAPL, QQQ, CSCO.
3 trade ideas extracted by AI with direction and confidence scoring.