Asiatische Softwareaktien fallen nach US-Verlusten wegen KI-Befürchtungen
As fears over artificial intelligence-driven disruption spread from Wall Street to Asia, software stocks across the region plunged on Wednesday, mirroring steep losses in U.S. tech equities. The sell-off was triggered by growing investor concerns that rapid AI advancements could undermine traditional software business models, particularly those reliant on human-driven services and legacy systems. Japanese IT firms were hit hardest: TIS, a leading systems integrator, dropped over 15%, Trend Micro shed more than 8%, and NS Solutions declined nearly 7%. In India, the Nifty IT index fell nearly 6%, with major players Tata Consultancy Services and Infosys dropping 5.8% and 6.2% respectively, while HCL Technologies lost 5.5%. Despite strong gains the previous day on the announcement of a U.S.-India trade deal, Indian IT stocks reversed course amid broader AI-related anxiety. Chinese tech stocks also declined, with Kingdee International Software plunging over 15%, Tencent down 3.27%, Alibaba losing more than 1%, and Baidu slipping over 2%. The root of the turmoil lies in recent developments from U.S. AI innovators. Ed Yardeni of Yardeni Research noted that Anthropic’s launch of new tools for its Cowork platform sparked investor unease, even though the practical utility of these tools remains uncertain. Investors reacted by slashing valuation multiples across the software sector, fearing that AI could automate or replace large portions of current software services. This sentiment was amplified by sharp declines in U.S. peers: ServiceNow tumbled nearly 7%, pushing its year-to-date losses to 28%; Salesforce fell about 7%, down almost 26% in 2026; and Intuit, owner of TurboTax, dropped nearly 11% and is now down over 34% year to date. These moves dragged the Nasdaq Composite down 1.4% on Tuesday. Industry analysts suggest a strategic shift is underway. Ling of UBP emphasized that infrastructure software—where AI disruption risks are lower—now offers more resilience. Cybersecurity, in particular, is seen as a defensive play, with strong pricing power and opportunities for AI-driven upselling. As AI reshapes the tech landscape, investors are increasingly favoring companies whose core offerings are less vulnerable to automation and more aligned with long-term infrastructure needs. The sell-off underscores a broader market reassessment: while AI promises transformative potential, its near-term impact on software revenues and margins is causing significant volatility. Companies that can demonstrate AI integration without undermining their existing business models are likely to outperform. The current downturn reflects not a rejection of AI, but a recalibration of expectations around its economic implications.
