Why the Nasdaq 100's AI-driven stock boom still looks tame compared to the dot-com era

LPL Financial’s chief equity strategist Jeff Buchbinder compared the Nasdaq 100’s AI-driven rally to the dot-com bubble, emphasizing key differences. Since ChatGPT’s launch, the index has surged over 140%, but this pales in comparison to the 1,090% peak in March 2000. Buchbinder highlighted that today’s AI leaders rely on internal cash flow rather than speculative funding, with valuations at roughly 25 times forward earnings—far lower than the 58x multiple of 2000. Their business models are also more diversified, and IPOs now feature larger revenue streams and clearer profitability paths. The AI boom is centered on infrastructure, with adoption still in early stages, according to Buchbinder. He noted that strong balance sheets among infrastructure builders could fuel future AI adoption winners. However, some analysts caution that debt issuance by hyperscalers has ballooned, with $725 billion in projected capital expenditures for 2026 raising credit supply risks. Global AI spending is expected to grow from $340 billion in 2025 to $3 trillion by 2035, accounting for 23% of total tech spending, up from less than 4% today, per Oxford Economics. UBS analyst Karl Keirstead observed that 42% of respondents now say AI will reduce hiring, up from 31% in October 2025, signaling labor displacement concerns. Buchbinder dismissed fears of a repeat dot-com crash, stating the current trajectory resembles 1997 more than late 1999. BNP credit analysts acknowledged that AI hyperscaler credit risks are already priced in, suggesting markets may have accounted for some volatility. While the AI-driven rally appears more disciplined than past tech bubbles, rising debt and labor displacement trends remain watchful areas. Buchbinder’s assessment suggests a measured outlook, but market risks persist amid rapid AI adoption and spending growth.