Major institutions forecast that the overall size of the U.S. economy will exceed $32 trillion by 2026, with GDP growth projected between 2.0% and 2.8%. Market statistics indicate that capital expenditures by the five largest hyperscale data centers this year will surpass $790 billion, accounting for approximately 2.5% of this year's U.S. GDP.

Jamie Dimon, CEO of JPMorgan Chase, stated that the market may be underestimating the impact of AI infrastructure investment on the U.S. economy. He predicts that AI infrastructure development will contribute 1.0% to GDP growth in both 2026 and 2027. Based on current institutional GDP growth forecasts for the U.S., this represents a contribution of 35% to 50%.

According to a recent report by Goldman Sachs, AI will drive U.S. economic growth, with widespread AI adoption expected to increase labor productivity by approximately 15% over the next decade, boosting global annual GDP by as much as $7 trillion. The U.S. core inflation rate is expected to approach 3% by December 2026 and return to around 2% by 2027. Capital is expected to rotate among AI software and hardware, hyperscale data centers, and infrastructure suppliers, with the S&P 500 index projected to reach a 12-month target of 8,300 points.

While major investment institutions differ in their forecasts for the scale of AI investment and its share of U.S. GDP growth, they agree on the direction of sustained growth through 2030 and a high contribution to U.S. GDP. With continued growth in U.S. GDP and corporate earnings, the bullish trend in U.S. equities is expected to persist.

By 2027, AI-related capital expenditures by the five major hyperscale data centers are expected to exceed $1 trillion, with Morgan Stanley forecasting as high as $1.2 trillion. AI capital spending is expected to remain large-scale and high-growth, benefiting Taiwan's supply chain. For example, due to increased AI server shipments and higher specifications, the market forecasts a supply shortage of ABF substrates exceeding 20% next year, with some estimates exceeding 30%. ABF substrate suppliers are expanding production capacity, leading to rising prices and volumes, with sustained revenue growth expected. Investors should not miss out on related supply chain opportunities.

Stocks with pricing potential include ABF substrates and memory. Additionally, four key themes—AI high-performance stocks and semiconductor stocks with explosive July revenues—are seen as leading indicators for Taiwan's market strength. Notable stocks include: On Thursday and Friday last week, Taiwan stocks pulled back on reduced volume, signaling the emergence of a 'second buying opportunity.' Investors who don't want to miss out again are encouraged to join https://user225916.pse.is/money668.

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Semiconductors: TSMC (2330-TW), Creative Electronics (3443-TW), MediaTek (2454-TW), Aptina (6531-TW), Innolux (3481-TW), Syscom (6139-TW), Seng Mag (8091-TW)

AI High-Performance Stocks: Delta Electronics (2308-TW), Lite-On Technology (2301-TW), New Strong (4931-TW), Chuan-Hu (2059-TW), Qioptiq (3017-TW), Ken Tech (3653-TW), Eclat Textile (2486-TW), Wistron NeWeb (6669-TW), Foxconn (2317-TW)

ABF Substrates: Nanya PCB (8046-TW), Unimicron (3037-TW), Kinsus (3189-TW), Zhen Ding Tech-KY (4958-TW)

Memory: Nanya Technology (2408-TW), Winbond Electronics (2344-TW), Macronix (2337-TW)

More industry trend forecasts and real-time market updates are available on Professor Yeh's LINE@:

LINE@ ID: @money668 (remember to include @)

https://user225916.pse.is/money668

After joining, leave a message saying 'CNBC' so I know where you heard about me. You'll be prioritized for promotions and giveaways!

Source: Moore Investment Consulting – Analyst Jason Yeh

The securities recommended and analyzed by our company have no improper financial interests. Past performance does not guarantee future profits. Investors should make independent judgments, conduct careful evaluations, and assume investment risks on their own.

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  • Source: PR Times
  • Category: Survey