(C): Twitter
The future of Asia in 2026 has an excellent combination of both opportunities and risks: a fresh wave of IPO deals in the major markets and the growing worry that AI-related valuations have become a high-risk business. Strong pipelines are being experienced in stock exchanges of Hong Kong, India, Japan and Southeast Asia as companies in tech and consumer sectors are also in green sectors flock to list. Meanwhile, investors are putting money into anything that has anything to do with artificial intelligence, whether it is chipmakers or software platforms, and there are fears of an artificial intelligence bubble akin to past technological manias. One should be aware of the two forces in case they are planning to invest, raise capital or time market entries next year.
The IPO momentum is being driven by a number of factors in Asia. New offerings are supported by post-pandemic earnings recovery, pent-up listing plans put off in previous years, and comparably robust domestic demand in new markets such as India and Southeast Asia. Capital-market development is also promoted actively by governments and regulators with easier listing standards of growth companies and tech and startups sector boards. To founders, public markets are more valued and visible than are private funds in a higher-interest-rate world.
Some of the most active sectors that are preparing to list are technology, consumer internet, financial services, green energy and manufacturing. The transactions within India remain open to digital platforms, fintechs and specialty manufacturers to find tapping into an increasingly substantial retail investor base. The supply-chain resilience and strategic tech independence demands of governments are attracting chipplayers, auto-tech players and industrial-AI players in North Asia. The ASEAN markets are also being followed by regional investors where infrastructure, logistics, and consumer narratives are contributing to smaller though dynamic IPO waves.
It is against this background that AI-associated stocks are at the heart of the valuation controversies. Capital is pouring into businesses that sell themselves as artificial intelligence or AI enabled, when the business models or profitability remain unproven. This brings a classic bubble risk: skyrocketing prices on more a narrative and a lack of missing out than cash flows. Historically, transformative technologies are over- and under-rated in the short and long term; investors must be able to distinguish between real productivity-enhancing AI plays and rebranded or hypothetical narratives.
Discipline is the secret of investors and not avoidance. That applies in the IPO space, in which the key variables are fundamentals such as the quality of revenue, profitability trends, governance, and lock-up mechanisms, and not hype or grey-market talk. In AI-related names, it implies that it stress-tests the valuations, seeks obvious moats (data, infrastructure or specialised models), and it does not have a highly levered exposure to one theme. A 2026 might provide good windows to companies that intend to list, though again only with clear accounts, good unit economics, and realistic AI boldness will continue to attract investor confidence once the original hype dies.
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