Big Tech companies use 'AI for good' claims to obscure market consolidation that destroys smaller competitors in Africa, Asia and Latin America, according to AI Now Institute researchers.
When Meta released its No Language Left Behind model in 2022 claiming coverage of 200 languages including 55 African languages, investors told African NLP startups to shut down. "Facebook has solved it, so your little puny startup is not going to be able to do anything," investors told the organizations, according to researcher Timnit Gebru.
OpenAI has approached similar language technology organizations with acquisition pitches offering minimal compensation. "You're better off collaborating with us and supplying us data for which we're going to pay you peanuts," according to OpenAI representatives.
Researcher Abeba Birhane argues the framing allows multinationals to avoid accountability amid grassroots resistance movements emerging across regions. "It's a way to paint a positive image of AI technologies, especially in light of a lot of the backlash," she said.
The pattern follows historical resource extraction models, Gebru argues. "People came along and decided that they want to build a machine god. And then they end up stealing data, killing the environment, exploiting labor in that process."
Medical AI systems deployed internationally have generated clinical hallucinations, while voice cloning technology enables unauthorized reproduction of performers' work without compensation across markets. Companies provide minimal empirical evidence supporting benefit claims for these general-purpose systems.
Market concentration accelerates as announcement strategies trigger capital flight from regional technology projects. Critics question whether current development paradigms can achieve safety without well-defined tasks, yet scaling of general systems continues across global markets.