# Invesco's Fiona Yang on AI, Korea & Asia's Markets _Invesco Fund Manager Fiona Yang discusses the AI market, the volatility in Korea, competition from Chinese LLMs, and investment opportunities in Asia._ **Published:** 2026-07-20 **Source:** https://www.startuphub.ai/ai-news/investors-news/2026/invesco-s-fiona-yang-on-ai-korea-asia-s-markets --- In the latest episode of Merryn Talks Money, fund manager Fiona Yang of Invesco joins host Merryn Somerset Webb to discuss the dynamic markets of Asia, with a particular focus on the impact of Artificial Intelligence (AI) and the unique opportunities and risks present in countries like South Korea, China, and India. Fiona Yang (Invesco)Core fund manager discussing AI's impact and investment opportunities across AsiaFrom the articleIn the latest episode of Merryn Talks Money, fund manager Fiona Yang of Invesco joins host Merryn Somerset Webb to discuss the dynamic markets of Asia, with a particular focus on the impact of Artificial Intelligence (AI) and the unique opportunities and risks present in countries like South Korea, China, and India.AI Market VolatilityDriverKorean market heavily exposed to AI stocks, experiencing surges and significant lossesFrom the article 8 mentionsYang opens by acknowledging the significant volatility observed in the Korean market, which she notes is heavily exposed to AI-related stocks.AI SupercycleContextglobal AI growth driving market dynamics, with Chinese LLMs as key competitorsFrom the articleThe conversation delves into the concept of a memory supercycle, driven by the immense demand from AI applications.High Market ExpectationsDriverFrom the articleThis volatility, she explains, is partly due to extremely high market expectations for memory prices, where even fantastic earnings cycles struggle to meet the inflated outlook.Shifting InvestmentEffectadapting strategies amidst market dynamics, focusing on specific Asian economiesFrom the article 2 mentionsShe highlights Shri Ram, a non-bank financial company, as a favorite due to its focus on underserved segments and its recent investment from a major Japanese financial institution.Korean Market RiskDriverFrom the article 3 mentionsA key risk identified in the Korean market is concentration, with a few major AI-related stocks dominating the landscape.Chinese LLM CompetitionDriverlocal large language models posing a significant challenge in the AI spaceEmerging MarketsOutcomeidentifying opportunities in India, China, and Australia for strategic investmentFrom the article 8 mentionsA key risk identified in the Korean market is concentration, with a few major AI-related stocks dominating the landscape. ## Navigating Korea's AI-Driven Volatility Yang opens by acknowledging the significant volatility observed in the Korean market, which she notes is heavily exposed to AI-related stocks. She highlights the recent surge driven by major AI players, followed by a stumble, and the considerable losses experienced by highly leveraged retail investors. This volatility, she explains, is partly due to extremely high market expectations for memory prices, where even fantastic earnings cycles struggle to meet the inflated outlook. A key risk identified in the Korean market is concentration, with a few major AI-related stocks dominating the landscape. Yang also points to the Korean government's "value-up initiative" aimed at boosting shareholder returns and improving corporate governance. She sees this as a positive long-term development, drawing parallels to similar reforms seen in Japan previously. The full discussion can be found on **Bloomberg Podcast**'s YouTube channel. ![](https://img.youtube.com/vi/0UdKsWc36LU/maxresdefault.jpg) Invesco's Fiona Yang on Korea, China and the Next AI Investment Wave | Merryn Talks Money, from Bloomberg Podcast ## The AI Supercycle and Chinese Competition The conversation delves into the concept of a memory supercycle, driven by the immense demand from AI applications. Yang traces this back to a period of underinvestment in the memory industry a few years prior, which, combined with the sudden surge in demand from generative AI, has led to shortages and price increases. She believes this cycle could last for a couple of years, but cautions that share prices might not sustain their high levels if supply catches up faster than anticipated or if demand falters. A significant risk to this demand narrative is competition, particularly from China. Yang notes that Chinese large language models, built on cheaper power, electricity, land, and hardware producers, can offer significantly lower production costs. While the technology might currently be generations behind, she warns that once Chinese models reach a certain technological threshold, their cost advantage could present a substantial challenge to developed market players. She cites anecdotal evidence of companies switching between Western and Chinese models based on task requirements and cost savings. ## Shifting Investment Strategies Amidst Market Dynamics Given these factors, Yang suggests that for active, bottom-up fund managers, diversification away from the pure-play AI hardware companies is becoming increasingly important. Instead, she advocates for looking at companies that can structurally benefit from AI by using the technology to enhance their own productivity, customer service, and operational efficiency. She also touches upon the potential economic boost from employee bonuses in Korea, which could drive consumer spending in sectors like luxury goods and travel. ## Emerging Markets: India, China, and Australia The discussion then shifts to other key Asian markets. India, once highly popular, has fallen out of favor, with questions surrounding the long-term survivability and growth of its internet companies. Despite this, Yang believes there are still select parts of the Indian market that offer value, particularly companies with strong compounding power. She highlights Shri Ram, a non-bank financial company, as a favorite due to its focus on underserved segments and its recent investment from a major Japanese financial institution. China, despite remaining inexpensive and unpopular, presents opportunities. Yang notes that capital has flowed out of popular Chinese holdings into AI hardware plays in Korea and Taiwan, depressing market values. She acknowledges the macroeconomic concerns but believes there are companies that can thrive irrespective of broader economic conditions. She also touches upon the importance of looking beyond pure AI plays to companies that can adapt and benefit from the broader technological shifts. Finally, Yang discusses Australia, praising its corporate governance and shareholder returns. She sees potential in resources and construction, especially given the global push for energy independence and onshoring, which is driving demand for materials like copper and investment in energy infrastructure. --- Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.