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AI Rally Is Not a Repeat of the Dot-Com Boom, Franklin Templeton Argues

Summary
According to Franklin Templeton, the current AI-driven market rally is supported by profitable companies with high barriers to entry, distinguishing it from the speculative internet boom of the late 1990s.
The market rally fueled by artificial intelligence has stronger foundations than the dot-com boom, with today's leading companies demonstrating greater profitability and more sustainable business models, according to an analysis by Franklin Templeton.
Contrasting Fundamentals
Marcus Weyerer, Director of ETF Investment Strategy at Franklin Templeton, stated that while comparisons are being made, the current environment is fundamentally different. "We understand the questions surrounding whether today’s AI rally resembles the late-1990s internet boom, but in our view the comparison is imperfect," Weyerer said.
He noted that many companies hyped during the internet era "lacked profitability, cash flow and sustainable competitive advantages." In contrast, today's AI leaders often operate across the entire ecosystem—including chips, cloud infrastructure, and software—which helps them maintain pricing power and margins.
A More Measured Advance
The analysis also pointed out that the current bull run, while significant, remains smaller in magnitude than its historical counterpart at the same stage. Key figures include:
Ad- The S&P 500 has gained 108% from its 2022 low through week 188 of the rally.
- This compares to a 127% gain for the index during the equivalent period of the late-1990s cycle.
High Barriers and a Maturing Cycle
A key distinction is the immense capital investment required for AI infrastructure, which creates high barriers to entry. This includes massive spending on semiconductors, data centers, memory, and electricity.
Weyerer also observed a shift in investor behavior. "Investor attention has shifted from the hyperscalers building AI applications towards the picks-and-shovels businesses supplying the infrastructure that makes them possible," he said. Franklin Templeton views this not as a sign of a fading theme, but as evidence of a "maturing of the AI investment cycle."
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