AI Is Now the Core Bull Case for the Broader U.S. Market, Powering an Unexpected Revival of Legacy Tech Stocks
Key keywords: AI market bull case, legacy tech stock revival, enterprise AI spending, generative AI adoption, semiconductor AI demand, S&P 500 earnings growth, AI infrastructure investment, mature tech re-rating
For the first time in over a decade, artificial intelligence has replaced interest rate policy as the top driver of broader U.S. equity market performance, according to multiple recent sell-side research reports, with the trend strong enough to reverse years of stagnation for long-overlooked legacy technology stocks. Through the first eight months of 2024, AI-related revenue uplift has contributed to 62% of the S&P 500’s total year-to-date gain, per data from Goldman Sachs, a far larger share than any single sector catalyst has delivered since the cloud computing boom of the early 2010s.
While the initial 2023 AI rally was concentrated in high-growth semiconductor and generative AI pure plays such as NVIDIA and OpenAI-aligned Microsoft, 2024 has seen investor enthusiasm spill over to established tech firms that were once written off as slow-growth “old tech”. IBM, for example, has seen its share price rise 41% year to date as its enterprise AI consulting and watsonx platform segments report 78% year-over-year revenue growth. Networking giant Cisco, long valued as a low-growth dividend play, has jumped 32% in 2024 on surging demand for AI-optimized network hardware for data centers. Even hardware makers like Dell and HP Inc. have outperformed the NASDAQ composite this year, driven by explosive demand for AI servers and AI-enabled personal computers for both consumer and enterprise use cases.
IDC forecasts that global enterprise AI spending will hit $1.3 trillion by 2027, with 68% of that budget flowing to established tech vendors that already have existing integration relationships with large corporate clients. Analysts note that unlike the unprofitable dot-com or crypto bubbles of the past, the current AI rally is underpinned by tangible, fast-growing revenue streams: 72% of Fortune 500 companies have active AI implementation contracts in place as of Q2 2024, up from just 21% 18 months prior. This real demand is not just lifting tech stocks: it is also boosting broader market earnings expectations, with S&P 500 consensus 2025 EPS estimates revised up 7.2% since the start of the year, 80% of that upgrade tied to AI-related productivity and revenue gains across sectors ranging from healthcare to manufacturing.
Featured Comments
As a senior tech equity analyst at a $200B asset management firm, we’ve been overweighting legacy tech positions in our large-cap portfolios since Q1 2024. Unlike the speculative unprofitable AI startup hype of 2023, these established players have built-in client bases to cross-sell AI tools, making their growth forecasts far more reliable. We expect this legacy tech AI rally to extend well into 2026 as multi-year enterprise AI contracts start showing up in quarterly earnings reports.
I bought 200 shares of IBM last year when all the retail trading communities were mocking it as a “boomer tech stock” that would never grow again. I’m up 38% on that position now, plus I’m earning a steady 4% dividend while I hold. This AI-driven re-rating of mature tech makes total sense—most of these companies have been pouring money into AI R&D for 10+ years, way before generative AI became a mainstream buzzword.
The most underappreciated impact of this AI trend is that it’s insulating the entire market from recession risks. Even with interest rates holding at 20-year highs, enterprises are prioritizing AI upgrades to cut long-term labor and operational costs, so tech spending is staying strong even as other discretionary budgets get cut. The only downside risk I see is if AI implementation timelines get pushed back faster than investors expect, but for now the underlying demand is very real.
As a CIO of a mid-sized manufacturing firm, we just signed a 3-year AI implementation contract with Cisco and IBM last quarter. We chose them over newer AI vendors specifically because they have a track record of supporting enterprise systems for decades, and their solutions integrate directly with the hardware we already own. There are thousands of companies like ours making the same call right now, so this legacy tech growth is not going away anytime soon.