Tag Archives: AI decolonization

AI or Just Bots: the Truth about Artificial Intelligence

Americans are becoming increasingly convinced that artificial intelligence is actually thinking like humans do…This fuels narratives about a future in which AI takes over the economy, leading to heightened insecurity for all of us while providing cover for companies that might be laying off workers for other reasons. It leads us to accept as true answers that are frequently made up or incorrect, even when we are repeatedly told that chatbots can’t stop delivering this kind of misinformation…Our cognitive biases developed to help us survive in complex social environments… We have evolved to view linguistic fluency as a proxy for intelligence, and engagement and helpfulness as indicators of trustworthiness. Builders of AI tools lean in to this deliberately. The humanlike qualities of chatbots are a calculated effort by designers and engineers to make AI more useful, but also more compelling and stickier [i.e. addictive]—just like social media.

Microsoft AI chief Mustafa Suleyman… warned that today’s seemingly conscious AIs [consists of a bunch of] highly accelerated information processors. “These systems are not waking up,” he wrote. “They are retracing and mirroring the contours of human drama and debate, as documented in their vast training data.” He recommends a solution: “Developers must actively engineer the illusion of consciousness out of the products.”…

Humans have a tendency to anthropomorphize animals and even inanimate objects, says Ayanna Howard, dean of Ohio State University’s College of Engineering and a robotics….Humans’ trusting nature makes sense for social creatures who must cooperate with members of their own tribe to survive. With AI and robots, however, this same tendency leads us to trust any system that appears to listen, understand and want to help, a phenomenon Howard calls “over-trust.” Today’s AIs are engineered to actively induce us to over-trust them, she adds. They do this by behaving in ways that are friendly and helpful, mimicking us through memory and personalization.

Excerpt from Christopher Mims, Why Even Smart People Believe AI Is Really Thinking, WSJ, Mar. 20, 2026

Let them Eat Data! Decolonizing Artificial Intelligence

Tap water isn’t drinkable. Power outages are common. The national average annual wage is $2,200. Yet rising on Jakarta’s outskirts are giant, windowless buildings packed inside with Nvidia’s latest artificial-intelligence chips. They mark Indonesia’s surprising rise as an AI hot spot, a market estimated to grow 30% annually over the next five years to $2.4 billion.

The multitrillion-dollar spending spree on AI has spread to the developing world. It is driven in part by a philosophy known in some academic circles as AI decolonization. The idea is simple. Foreign powers once extracted resources such as oil from colonies, offering minimal benefits to the locals. Today, developing nations aim to ensure that the AI boom enriches more than just Silicon Valley.  Regulations effectively require tech companies such as Google and Meta to process local data domestically. That pushes companies to build or rent data facilities onshore instead of relying on global infrastructure. These investments add up to billions of dollars and create jobs that foster national talent, or so developing nations hope.

AI decolonization is a twist on data sovereignty, a concept that gained traction after Edward Snowden revealed that American tech companies cooperated with U.S. government surveillance of foreign leaders. The European Union in 2018 pioneered data-protection laws that other nations have since mimicked.

Regulations vary by country and industry, but the principle is this: If a developing-nation bank wants an American tech giant to store customer data and analyze it with AI, the bank must hire a company with domestically located servers… Nvidia Chief Executive Jensen Huang championed “sovereign AI” during a visit to Jakarta in 2024

“No country can afford to have its natural resource—the data of its people—be extracted, transformed into intelligence and then imported back into the country,” Huang said…

Excerpt from Stu Woo, It’s Not Just Rich Countries. Tech’s Trillion-Dollar Bet on AI Is Everywhere, WSJ, Oct. 26, 2025