Taiwanese companies looking to expand into the US amid the artificial intelligence (AI) boom face mounting challenges, including high costs, infrastructure gaps, and legal and talent constraints, although experts say such expansion is increasingly unavoidable.
Speakers at the AIForecast forum in Taipei yesterday said Taiwanese firms should invest in the US, but stressed that execution, rather than timing, would determine success.
Panelists outlined several barriers to establishing operations in the US.
Photo: CNA
Stanford University School of Engineering professor Philip Wong (黃漢森) said some of Taiwan’s key competitive advantages are difficult to replicate overseas.
“The most difficult thing to take overseas is corporate culture,” Wong said, adding that such change “is very hard and a gradual process.”
He highlighted the importance of Taiwan’s deep research and development base, saying that manufacturing requires continuous innovation.
“Manufacturing is not just making a fixed product. It requires continuous improvement and development of the next generation,” he said.
Taiwan Electrical and Electronic Manufacturers’ Association vice chairman Hu Hui-sen (胡惠森) said infrastructure and administrative hurdles were major obstacles.
“In Taiwan, if you want to build a factory, you go to an industrial park where everything is ready, but in the US, the location you choose may not even have a stable power supply,” Hu said.
Delays in securing work visas for engineers have further complicated expansion efforts, he added.
International Artificial Intelligence and Law Research Foundation chairman Chu Chao-min (朱兆民) said companies have to navigate complex regulatory risks.
“If you don’t understand US laws, you may face prosecution,” he said, citing cases involving export controls and cross-border transfers of sensitive technologies.
Despite these challenges, panelists said US expansion is becoming increasingly necessary for Taiwanese firms in the AI era, although success would depend on careful planning and risk management.
“You have to go, but you must find a way to survive first,” Hu said.
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