AI Summit 2026

Reframing "Data Rich"

with
Karen Hao

Dominant narratives label under-resourced regions as “data rich” to signal strategic importance and promise a path out of poverty, but in practice this reinforces colonial dynamics, extracting value while excluding the Global Majority from meaningful economic participation. Alix reframes “data rich” with Karen Hao, showing how the concept preemptively subjugates these economies.

Frame
The current narrative frames under-resourced regions and communities as “data rich,” signaling their strategic importance and suggesting that they hold untapped potential for economic growth, innovation, and global market integration.
Flip
Reframe
In practice, this framing reinforces colonial dynamics by treating under-resourced regions as sources of value rather than as full participants, funneling the Global Majority into patterns of extraction, exploitation, and exclusion from meaningful economic and technological engagement.
The path forward
“Data-rich” centers the Global North’s need for data, preemptively subjugating Global Majority economies to extraction. But large-scale AI is not inevitable — community-based approaches can replace one-size-fits-all models, prioritizing investment in students and researchers over empty promises.

KAREN HAO – DATA RICH

Karen Hao is a bestselling author and award-winning reporter covering artificial intelligence. She was the first journalist to profile OpenAI and wrote a book, EMPIRE OF AI, about the company and the AI industry. 

In this interview, Hao argues that framing Global South countries as “data rich” reinforces colonial dynamics by enabling the extraction of data, minerals, and labor, thereby facilitating increased inequality and exploitation. Hao shows how tech giants are using historical empire playbooks to promote a resource-intensive model for AI development – a model, she says, that the Global South should reject. She cautions against the emerging model of corporations “taking the data and trying to sell it back” to communities. Instead, she highlights examples of specialized, small-scale AI projects that better care for local data, and prioritize community needs, cultural preservation, sovereignty, and public interest over extraction.

Read the full essay

 "Wealthy countries get to come into poorer countries and do whatever they want, extract whatever data, minerals, and labor they want, to get even richer. It’s just repeating history under the guise of technology that's supposed to level the playing field globally."

Karen Hao
Author and award-winning reporter

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