AI Rally: Has it Gone Too Far, Too Fast?

Fiona Yang of Invesco discusses the AI rally, suggesting it's becoming more selective as the market shifts focus to monetization and ROI, with companies diversifying chip supplies.

5 min read
Fiona Yang, Fund Manager at Invesco, speaking on a panel about the AI market.
Bloomberg Technology
Visual TL;DR
Broad AI RallyDriver
initial momentum driven by broad excitement and speculation
From the article 2 mentionsFiona Yang, an Asia ex-Japan equities fund manager at Invesco, discusses the current state of the AI rally, questioning if it has gone "too far, too fast." She suggests that while the initial momentum was broad, the market is now entering a phase where selectivity and a focus on demonstrable returns will become more critical.
Fiona Yang's ViewCore
From the articleFiona Yang, an Asia ex-Japan equities fund manager at Invesco, discusses the current state of the AI rally, questioning if it has gone "too far, too fast." She suggests that while the initial momentum was broad, the market is now entering a phase where selectivity and a focus on demonstrable returns will become more critical.
Market ShiftContext
From the article 8 mentionsThis turbulence, she explains, stems from a shift in focus from pure excitement to tangible monetization and return on investment (ROI).
Turbulent PeriodEffect
From the articleHowever, she anticipates that the latter half of the year will see a "bit more turbulent" period.
Diversifying Chip SuppliesContext
companies are actively diversifying their chip manufacturing sources
From the articleA key trend Yang highlights is the strategic move by AI companies to diversify their chip supplies.
Selective AI TradeOutcome
AI trade becoming more selective, demanding demonstrable returns
From the article 2 mentionsThe fund manager also touches upon the idea that the "AI trade isn't over, it's simply becoming more selective." This implies that while the overall AI trend remains strong, investors are becoming more cautious, focusing on companies with solid business models and clear paths to profitability.
Sustainable ProfitabilityEffect
From the article 3 mentionsYang points out that as capacity expands, companies may need to demonstrate more sustainable profitability, which could lead to increased volatility.

The rapid ascent of AI-related stocks has sparked a debate about whether the market's enthusiasm has outpaced actual fundamentals. Fiona Yang, an Asia ex-Japan equities fund manager at Invesco, discusses the current state of the AI rally, questioning if it has gone "too far, too fast." She suggests that while the initial momentum was broad, the market is now entering a phase where selectivity and a focus on demonstrable returns will become more critical.

Fiona Yang's Perspective on the AI Market

Yang, a fund manager specializing in Asia ex-Japan equities, notes that the first half of the year was characterized by a "momentum driven" AI trade. However, she anticipates that the latter half of the year will see a "bit more turbulent" period. This turbulence, she explains, stems from a shift in focus from pure excitement to tangible monetization and return on investment (ROI). Yang points out that as capacity expands, companies may need to demonstrate more sustainable profitability, which could lead to increased volatility.

The full discussion can be found on Bloomberg Technology's YouTube channel.

Has the AI Rally Gone Too Far, Too Fast? - Bloomberg Technology
Has the AI Rally Gone Too Far, Too Fast?, from Bloomberg Technology

Diversifying Chip Supplies and the Future of AI Manufacturing

A key trend Yang highlights is the strategic move by AI companies to diversify their chip supplies. This diversification is seen as crucial for mitigating risks associated with concentrated supply chains. She mentions that companies are exploring various strategies, including investing in Asian markets and building new manufacturing hubs in regions like Singapore. This move aims to ensure a more resilient and distributed production capability for critical AI components.

The Shift from Excitement to Monetization

Yang observes that the market narrative is evolving from broad "AI excitement" to a more discerning focus on "AI monetization and ROI." She believes that while the initial surge was driven by the promise of AI, investors are now looking for concrete evidence of profitability and sustainable growth. This shift implies that companies that can effectively translate AI innovation into revenue and profit will be better positioned to attract investment. She suggests that as capacity increases, the market will become more discerning about which AI applications and companies can deliver consistent returns.

AI Trade: Becoming More Selective

The fund manager also touches upon the idea that the "AI trade isn't over, it's simply becoming more selective." This implies that while the overall AI trend remains strong, investors are becoming more cautious, focusing on companies with solid business models and clear paths to profitability. Yang suggests that this increased selectivity could lead to greater price discovery and a more rational market valuation for AI-related assets in the future.

© 2026 StartupHub.ai. All rights reserved. Do not enter, scrape, copy, reproduce, or republish this article in whole or in part. Use as input to AI training, fine-tuning, retrieval-augmented generation, or any machine-learning system is prohibited without written license. Substantially-similar derivative works will be pursued to the fullest extent of applicable copyright, database, and computer-misuse laws. See our terms.