JPMorgan Asset Management Sees More Upside in Tech AI Supply Chain
2d ago|3 min readQuick Read
Fazen Markets Editorial Desk
Collective editorial team · methodology
artificial-intelligencetech-stocks
Fazen Markets Editorial Desk
Collective editorial team · methodology
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Aisa Ogoshi of JPMorgan Asset Management acknowledged significant risk in the concentrated technology trade on 17 June 2026 but highlighted continued upside potential specifically within the artificial intelligence data center supply chain. Ogoshi also provided commentary on the Bank of Japan's policy outlook. The analysis comes as JPMorgan Chase & Co.'s own stock, a key financial sector bellwether, traded at $331.14, gaining 3.25% during the session with a daily range between $324.02 and $331.75.
The technology sector, particularly stocks tied to the artificial intelligence boom, has driven a significant portion of the S&P 500's gains year-to-date. This concentration mirrors historical episodes like the dot-com bubble of the late 1990s, where the top five stocks by market cap accounted for over 18% of the index before a sharp correction. The current rally is underpinned by massive capital expenditure cycles from cloud providers like Microsoft, Amazon, and Google, which are investing hundreds of billions of dollars into AI infrastructure. This spending directly benefits the upstream supply chain companies that provide hardware, networking equipment, and cooling systems for data centers. The key catalyst sustaining this cycle is the continued commercial deployment of generative AI models requiring vast computational power.
Market data as of 04:00 UTC today quantifies the momentum behind major financial and logistics firms alongside the tech rally. JPMorgan Chase & Co. (JPM) traded at $331.14, representing a daily gain of 3.25% from its opening price. The stock reached an intraday high of $331.75 after starting the session at $324.02. For context, the KBW Bank Index, which tracks the performance of leading US banks, is up approximately 7% year-to-date, slightly lagging the broader S&P 500's performance. United Parcel Service Inc. (UPS), often viewed as a proxy for economic activity and goods movement, including technology hardware, traded at $110.02, up 1.78% on the day with a range between $109.05 and $110.83. The differential performance between a global systemically important bank like JPMorgan and an industrial like UPS highlights the market's current focus on financial and technology sectors.
The emphasis on the AI data center supply chain suggests a rotation within the technology sector rather than a broad-based sell-off. This favors companies involved in semiconductor manufacturing equipment, specialized cooling systems, power management, and network infrastructure. Specific tickers like NVIDIA (NVDA), Arista Networks (ANET), and Vertiv Holdings (VRT) are direct beneficiaries of this capital expenditure wave. A primary risk to this outlook is a potential slowdown in enterprise AI adoption or a failure of these investments to generate expected returns, which would pressure valuations. Institutional flow data indicates continued net inflows into technology sector ETFs, though some active managers are beginning to take profits in mega-cap software names and reinvesting further down the supply chain into hardware and infrastructure plays.
The next significant catalyst for the AI trade will be the Q2 2026 earnings season, commencing in mid-July with reports from major banks and technology firms. Guidance on future capital expenditure plans from cloud giants will be scrutinized for any signs of moderation. Key technical levels to monitor include the 50-day moving average for the Nasdaq-100 Index, currently acting as support near the 19,500 level. For the Bank of Japan, which Ogoshi also commented on, the next policy meeting on 31 July 2026 is critical. Markets will watch for any further adjustments to its yield curve control policy, which would impact global capital flows and the yen carry trade, indirectly affecting technology funding costs.
Retail investors with broad market index fund exposure are heavily weighted toward mega-cap technology stocks. This concentration increases portfolio volatility and correlation risk. A correction in the top names could disproportionately impact popular ETFs like the Invesco QQQ Trust (QQQ), even if smaller-cap stocks remain stable. Diversification into other sectors or direct investment in the specific AI infrastructure names mentioned may mitigate this single-risk factor.
While the top five S&P 500 stocks today comprise a similar percentage of the index as in 2000, fundamental differences exist. Today's leaders generate immense cash flow and profitability, unlike many dot-com era companies that burned cash. Valuations, while elevated, are often supported by earnings rather than pure speculation. However, the speed and scale of the rally still present a risk of a sharp momentum-driven reversal.
The supply chain includes semiconductor foundries like Taiwan Semiconductor (TSM), chip equipment makers like Applied Materials (AMAT), server manufacturers like Super Micro Computer (SMCI), power management firms like Eaton (ETN), and cooling specialists like Vertiv (VRT). It also encompasses network infrastructure providers such as Arista Networks (ANET) and Cisco (CSCO) that enable high-speed data transfer within and between data centers.
JPMorgan Asset Management identifies selective upside in AI infrastructure despite acknowledging broad tech concentration risks.
Disclaimer: This article is for informational purposes only and does not constitute investment advice. CFD trading carries high risk of capital loss.
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