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Hello readers,

Welcome to the AI For All newsletter! Today, we’re talking the potential for AI-powered “planetary intelligence”, how AI is reinventing the telecom industry in 2026, and more!

When AI starts thinking like Earth

At the 2026 World Economic Forum, leaders are exploring how “planetary intelligence” — a new approach that combines large-scale AI models with space-based sensing and compute — could reshape how we understand and respond to global risks. For decades, AI has been trained largely on internet data. But as climate change, disaster response, and security challenges grow more complex, real-world models that incorporate live Earth data are becoming essential.

The core idea is to pair advanced AI with satellites that don’t just observe the planet, but also process and analyze data in orbit. These systems can run continuously, comparing expectations against real-time events — much like the human brain does through predictive coding. This shift allows AI to detect when something is off (e.g., unexpected troop movements or failing crops), turning deviations into insight and enabling faster, more targeted responses.

Planetary intelligence can reframe satellite imagery from a passive archive into an active diagnostic tool. The most valuable signal is not what looks normal, but what violates our best understanding of how the world works. In effect, the planet and humans would gain something like proprioception, or an awareness of our own state.

World Economic Forum

By turning raw satellite imagery into actionable intelligence, planetary intelligence could power early disaster warnings, guide climate adaptation, and inform economic and security planning. It represents not just an evolution of AI, but a step toward anchoring machine learning in the physical systems that shape our lives — offering a way to anticipate global disruptions before they cascade.

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📖 What We’re Reading

IoT generates an ocean of data, but without intelligence, it’s just noise. AI transforms this data into actionable insights. Advanced machine learning models and generative AI are now embedded into telecom infrastructures, enabling dynamic service personalization and proactive maintenance.

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