Techub, citing Tech in Asia, reported that AI labs in Asia had hoped local-language capabilities would give them an edge against major technology companies. The data cited in the report points the other way on the business side: users have shown little willingness to pay for those products. As a result, many of these projects are being kept alive through philanthropy and corporate social responsibility, or CSR, support rather than clear commercial demand. The report centers on a gap between technical positioning and revenue reality, with local language specialization failing to translate into meaningful paid adoption. That has left a number of AI initiatives in the region leaning on outside support to continue operating.
According to Tech in Asia, as cited by Techub, AI labs in Asia had previously hoped that local-language capabilities would serve as an advantage in competing with major technology companies. The data cited in the report shows that users have little willingness to pay, leaving many projects dependent on philanthropy and corporate social responsibility, or CSR, to stay afloat.
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