Will AI job fears hurt China’s housing market as they have in the US and India?

Growing public anxiety over artificial intelligence-driven job loss, especially in technology and other white-collar sectors, has weighed on housing sentiment in the US and India. Yet data remains insufficient to quantify the direct impact of AI-related job fears on China’s sluggish home-buying sentiment, though analysts expect such concerns to make households more cautious about long-term housing purchase decisions. China’s rapid AI adoption to boost automation and productivity had implications for labour markets, according to analysts. There was lower employment demand for areas that faced automation, and entry-level workers might face a period of disruption as the labour market adjusted and AI matured, said Vishrut Rana, senior economist at S&P Global Ratings. “Under evolving economic conditions, households increase preference for more liquid savings over more illiquid housing assets,” Rana said. “Over a longer horizon, labour markets will stabilise around technology and underlying housing preferences will play a significant role as households choose between lifestyle spending and housing.” James Macdonald, head of research for China at Savills, said that from a China perspective, the transmission of these concerns into the property market was limited so far. One reason was structural, Macdonald said. Compared with economies such as the US and India, China retained a relatively strong manufacturing and industrial base, which might be less immediately exposed to AI-driven displacement than service-oriented white-collar sectors, he added. “While AI may increase productivity and create new areas of economic activity, it may also alter employment structures over time,” Macdonald said. “The net impact on income and housing demand will depend on how these effects are distributed across sectors and households – something that remains difficult to predict with confidence.” Meanwhile, as AI displaces jobs, its impact on commercial real estate is likely to become more visible in the near term in China. For instance, it could affect office demand through changes in headcount and workspace utilisation, while also supporting capital reallocation towards digital infrastructure like data centres, said Tyran Kam, senior director of Asia-Pacific corporate ratings at Fitch Ratings. “By contrast, the transmission to residential property demand is likely to be more indirect, gradual and difficult to isolate from other structural and cyclical factors,” Kam said. So far, subdued housing demand still appeared to be driven mainly by broader macroeconomic and property-sector factors, including weak income expectations, uncertainty over employment, declining home price expectations in many cities, and still-fragile confidence in developers and project delivery, Kam added. “Against that backdrop, AI-related job anxiety may be an additional headwind, especially for younger, higher-income urban households that are more exposed to the technology, internet and professional services sectors, but it is unlikely to be a primary nationwide driver at this stage,” he said. The concern comes as AI-related job insecurity is emerging as a quiet drag on housing sentiment in the US and India. A recent survey of 4,000 US residents by real estate platform Redfin found that roughly 59 per cent of respondents believed AI advances would eliminate jobs and make housing less affordable, while just 30 per cent expected AI to strengthen the economy and improve housing affordability. “Housing affordability has become a lens through which people are processing every major economic debate,” said Daryl Fairweather, chief economist of Redfin. “And right now, the mood is more pessimistic than optimistic.” Concerns over AI-driven workforce optimisation in India’s IT services sector, a major white-collar employer in big cities, had raised questions about potential spillover effects on residential and commercial property demand, according to a report by Citi Research in March. India’s residential markets in Bengaluru, Pune and Hyderabad showed strong correlation with the IT sector performance, with focus on the affordable and mid-income segments, while the risk was more nuanced and contained than market fears implied, the report found. “For commercial real estate, the short-term impact is limited by long lease tenures, or those lasting from five to nine years, with expected IT demand reduction offset by new AI-related demand,” said Anusha Madireddy, an analyst at Citi Research. While China’s property sector has been relatively slow to adopt new technologies, more players are now integrating AI into daily operations. Midland Realty, a Hong Kong property agency, upgraded its systems and developed several AI tools last year, including an AI copywriting assistant, AI-generated daily market highlights and news summaries, significantly boosting productivity. Despite the rapid development of AI, the company continues to hire. Its total headcount rose to 4,781 at the end of last year, up from 4,640 in June, according to its earnings reports. “Looking ahead, AI is poised to play an even more critical role in the home-buying process,” said Angela Wong, deputy chairman of Midland Holdings, the parent of Midland Realty.

Will AI job fears hurt China’s housing market as they have in the US and India?

.css-1c6uqr6{color:inherit;font-weight:inherit;font-size:inherit;font-family:inherit;line-height:inherit;overflow-wrap:break-word;}AI’s impact on China’s housing market remains limited for now due to manufacturing strength, but younger tech workers may face headwinds

AI’s impact on China’s housing market remains limited for now due to manufacturing strength, but younger tech workers may face headwinds