Robbie Schingler’s TED talk explores how satellite imagery and artificial intelligence could help humanity respond to threats before they become disasters. From military build-ups to Amazon deforestation and drought in Kenya, his message is clear: seeing change is no longer enough. The real challenge is turning information into coordinated action.
Key takeaways
- Satellites can create a shared, up-to-date view of events on Earth.
- AI can analyse huge amounts of environmental and human activity data quickly.
- Early warnings only matter when institutions are ready to respond.
- “Planetary intelligence” could support better decisions across security, finance, farming and conservation.
- The future depends on trust, coordination and governance, not technology alone.
The bridge that became an early warning
On Valentine’s Day in 2022, a pontoon bridge appeared near the border of Belarus and Ukraine. Satellite images captured the change almost immediately. The images were shared widely, giving governments, researchers, journalists and non-governmental organisations access to the same basic facts.
Ten days later, Russia invaded Ukraine.
The satellites had done their job. They detected a visible sign of military preparation and helped the world understand what was happening. But the wider system struggled to act quickly enough. Military activity and tanks had been gathering for months, yet the institutions responsible for responding were not designed to process such a fast-moving stream of information.
Schingler describes this as the difference between having an eye and having a functioning body. An eye can see danger, but it cannot respond on its own. It needs a nervous system and muscles connected to it.
From Earth observation to planetary intelligence
Schingler’s company began with a straightforward ambition: image the whole planet every day. The next step was to use AI to understand how the planet is changing.
That combination of satellite data, computing power and AI is what he calls planetary intelligence. Instead of simply storing images, these systems can identify patterns and changes across vast areas in close to real time.
This could include changes to:
- Forest cover and land use
- Soil and grass health
- Roads, buildings and infrastructure
- Water systems and riverbeds
- Military movements and border activity
For Power AI Media readers following the development of AI, this is an important shift. AI is often discussed through chatbots, image generators or workplace tools. Planetary intelligence points to another role: helping society understand complex physical systems and make decisions based on evidence.
Fighting illegal activity in the Amazon
The Brazilian Amazon covers around 5 million square kilometres and contains vital biodiversity, Indigenous communities and a large share of the world’s freshwater.
Illegal activity can be difficult to detect on the ground. Roads may be built without permission, forests cleared for illicit crops, runways created for trafficking and riverbeds mined in ways that pollute downstream communities.
Manual patrols alone cannot cover such a large area. Satellite monitoring, supported by AI, can scan the region every day and look for signals such as new roads or sudden forest loss.
According to Schingler, the system developed with Brazilian partners is now used across government, from field rangers to federal courts. Over three years, authorities seized billions of dollars’ worth of illegal equipment, while deforestation fell by more than half in areas where the system was deployed.
The wider lesson is simple: better information can make enforcement more focused and timely.
Supporting herders during drought
In Kenya and across the Horn of Africa, livestock can represent a family’s income, savings and long-term security. When rains fail, grass disappears, cattle weaken and families can lose their economic foundation within weeks.
A satellite-based drought insurance programme offers a practical example of AI-linked action. Satellites measure the condition of the grass. When it falls below a set level, an automatic payment is sent to affected pastoralists through mobile money.
The herder does not need to interpret a satellite image or submit a claim. The system detects the risk, releases the payment and gives families a chance to buy feed or move their animals before the crisis becomes worse.
More than 1.5 million herders are reportedly covered by programmes of this kind. It is a useful example of technology operating quietly in the background, where the best result is that a disaster does not happen.
The gap between knowing and acting
Schingler’s central argument is not that AI will solve every global problem. In fact, he warns that technology without good governance could create new risks.
AI systems need to understand more than human activity. They also need to account for water, trees, soil and the wider living systems that support society. That raises difficult questions about privacy, ownership, accountability and who gets to use sensitive information — issues that sit at the heart of responsible AI coverage at Power AI Media.
Satellite data can show what is changing, but decisions still require people and institutions. Governments need to trust the data. Communities need a say in how systems affect them. Alliances need ways to coordinate quickly without creating new forms of control or surveillance.
Building the body
Schingler says he once believed information would save us. Now, he believes coordination is what makes information useful.
Satellites have given humanity a powerful set of eyes. AI is helping connect those eyes to a kind of planetary brain. The missing piece is the body: the trust, alliances and institutions able to move when the signal arrives.
That idea applies far beyond climate and conservation. It could shape how societies respond to conflict, financial risk, infrastructure failures and public health threats.
The promise of planetary intelligence is not simply to watch the Earth more closely. It is to help humanity become a better steward of the place it shares — provided it builds the systems, safeguards and cooperation needed to act in time.