Don't want AI to be one-size-fits-all: Meta's chief AI officer Alexander Wang

Meta said its personal superintelligence, set to be launched in the next few months, will go beyond routine administrative tasks. It will help users manage health goals, plan events, pursue hobbies and engage more meaningfully with their communities, the company’s newly appointed chief AI officer and leader of its Superintelligence Labs, Alexandr Wang, said on Thursday.

Speaking at the India AI Impact Summit in Delhi, Wang said he doesn’t envision AI technology to be uniform across markets. “I don’t want AI to be one-size-fits-all. It should be designed for the unique challenges and opportunities of countries like India and the global south,” he said.

Wang, who founded data annotation company Scale AI before moving to Meta, said he wants the technology to serve everyone as an individual, “no matter who you are, where you live, what language you speak, or what culture you’re a part of”.


Meta’s platforms, he said, reach 3.5 billion people globally, including more than 500 million users in India, giving the company a unique opportunity to deploy AI at scale.

“This gives us an opportunity to develop AI tools that are locally relevant and embedded into everyday use cases, from small businesses and creators to education and healthcare,” he said.

Wang said language remains a major focus area for Meta. The company recently open-sourced omnilingual speech models supporting more than 1,600 languages. Real-time voice-to-voice translation across languages is now within reach, a development that could be especially transformative for multilingual countries like India, he added.

Addressing concerns regarding safety and misuse, Wang said Meta’s incentives are aligned with responsible AI development. “If people don’t trust our AI, they won’t use it,” he said, pointing to transparency measures such as model cards, benchmarks, risk assessments and red-teaming.

Wang also called for closer collaboration between governments and industry, stressing four key building blocks for AI growth: talent, energy, data and compute. He warned against fragmented regulation and called for policies that enable innovation while keeping citizens’ needs at the centre.

During his address Wang also highlighted several India-based use cases, including accessibility tools for people with disabilities, AI-powered cancer imaging developed by researchers at Ashoka University and agriculture startups using Meta’s open-source models to assess crop health.

Meta is also working with the Indian government on its AI coach platform, providing datasets in 10 major Indian languages to help developers build models tailored to local contexts.