Rimma Boshernitsan is founder of DIALOGUE, an interdisciplinary strategic advisory for leaders aiming to shape the zeitgeist. She writes and speaks on co-intelligence — the integration of human, machine and planetary systems.
Beneath the surface of the Santa Barbara Channel, a blue whale calls out, its voice rippling through water in low, pulsing waves. Miles away, a hydrophone registers the call. The vibration travels upward, emerging as a point of light on a digital map. Cargo ships slow their engines in response, their paths adjusting in a coordinated pace of restraint. No command is given; the system moves to a rhythm older than our species.
This is Whale Safe, a collaborative project headed by the University of California, Santa Barbara’s Benioff Ocean Initiative, to reduce whale-ship collisions. Leading whale scientists use hydrophones, visual sightings and habitat models to create a living risk map that ports and shipping lines use to adjust speed when whales are present. The signal completes a circuit: detection becomes a shared decision, the shipping pattern changes in response, and the updates reflect new detections and conditions as they come in.
The result: Participating fleets have reduced fatal strike risk, lowered underwater noise, and reduced emissions — without interrupting commerce. What emerges is more than technology. It’s what happens when sensors, models and human judgment collectively act like a single nervous system.
Here is one way civilization might meet the interwoven crises of our time — by aligning human, machine and planetary intelligence into a working whole. The notion of intelligence as merely a central processor is behind us. When these three strands align, we gain more than information; we gain coherence, the synchronization that emerges when signals, rhythms and thresholds harmonize across domains. This kind of attunement is the state in which intelligence becomes more than the sum of its parts.
If we think of satellites, soil probes, buoys and bioacoustics as “nerve endings” that take in information, the “reflexes” are machine forecasts that fire on patterns at speed, and the “cortex” is human intuition, integrating senses to understand what matters and why. This is what the Berggruen Institute’s Benjamin Bratton calls “planetary sapience”: the capacity of the terrestrial system — through its technical and cultural infrastructures — to know something about itself and to act accordingly.
In their paper, “Intelligence as a Planetary-Scale Process,” the co-authors, planetary scientists David Grinspoon and Adam Frank, and astrobiologist Sara Walker, describe a “mature technosphere,” as one in which our technical systems integrate so coherently with the biosphere that the whole can self-regulate rather than just react.
We’ve been separating signal from judgment, letting speed outrun significance, and ignoring our bodies until alarms blare. We, as a species, are grimly out of tune. Reimagining civilization’s cognition is no longer optional — it is the design imperative for a world that must learn to steer, not spin.
More computation alone will not solve this. Aligning computation with human and planetary intelligence will allow for a new kind of wisdom to emerge — a triad of intelligences forming a planetary nervous system:
- Human Intelligence — The Integrative Cortex
Human intelligence is beyond mere calculation. What makes us uniquely human isn’t our processing power, but our capacity to discern what matters — to sense the whisper beneath the data. Our intuition is our oldest inheritance, emerging from the quiet place technology can never reach: a consciousness capable of care.
This knowing lives in the body, not merely the mind. Psychiatrist and philosopher Iain McGilchrist explains that the brain’s right hemisphere frames reality in terms of salience before the left hemisphere attempts to label it. In ambiguity, that framing becomes essential. Attention isn’t trivial — it’s where selection happens, where meaning emerges from noise. Where pause isn’t absence, but rather a different kind of presence.
Intelligence begins with choice. As the philosopher Forrest Landry argues, it’s not how much we know, but what we choose to care about amid complexity. That is the ethical function of human intuition: to choose alignment, to decide what matters in the moment when information overwhelms us and the stakes shift beneath our feet.
This intuitive attention becomes infrastructural when embedded in practice. Political scientist Elinor Ostrom’s research shows that communities that iteratively refine rules governing land and seasons often outperform centralized models — especially when governance is rooted in local knowledge and mutual accountability. And Robin Wall Kimmerer reminds us that Indigenous practices — whether tending sweetgrass or reading fire patterns — encode centuries of attunement as collective wisdom. This isn’t mystical; it’s strategic. Global assessments confirm that this isn’t just a cultural preference, but a measurable practice.
Intuition grounded in place already functions as infrastructure, as the quiet coherence between signal and response.
“This is what happens when sensors, models and human judgment collectively act like a single nervous system.”
- Machine Intelligence — The Rapid Reflex
Over Africa’s Okavango Delta, Earth-observing satellites capture the seasonal flood pulse, making a living wetland legible from orbit. On the ground, field observations add what orbit cannot; they track how water, animals and human life move together through the seasons. Researchers translate these streams into maps, using automated analysis of satellite imagery alongside field observations to guide their conservation choices. No single platform holds all of this at once. The work is in the synchronization of vantage points processed together until the system can perceive across multiple scales.
This is machine intelligence at its most vital: not replacing judgment, but extending our senses. From wetland rhythms to weather patterns to civic discourse, these approaches illuminate hidden structures at speeds that allow human and planetary intelligences to respond in unity.
When Taiwan faced a deadlock in debates over ride-sharing regulations, the vTaiwan process used the Polis system to map voting patterns. It wasn’t the words themselves that revealed “islands of agreement” across seemingly unbridgeable divides. Once that convergence was visible, it became usable: it shaped the agenda for deliberation and drafting, helping translate polarization into actionable regulatory design.
Audrey Tang, Taiwan’s first digital minister and creator of vTaiwan, has described Polis as civic infrastructure that surfaces convergence instead of conflict. It clusters people by feeling, blocks the attention economy of replies, and makes consensus legible enough to move deliberation offline and into policy. In the case of Uber, that transparency highlighted common ground across factions and gave the debate a common map to work from, breaking a years-long stalemate.
Our relationship with weather similarly transforms when machines function as reflexes rather than oracles. DeepMind’s GraphCast, having absorbed decades of atmospheric data, predicted Hurricane Lee’s unusual northward turn three days before conventional models, giving coastal communities a critical head start. In a nervous-system frame, that’s what a reflex is: pattern recognition arriving in time to change behavior. This isn’t merely faster prediction; it’s a fundamentally different way of aligning machine perception with planetary rhythms that communities can act upon.
In each case, machine intelligence serves as civilization’s reflex arc, detecting signals that are too complex or too subtle for unaided human perception. As computer scientist Norbert Wiener once observed, these computational systems don’t “think” for us — they extend our capacity to sense and respond to a world whose complexity increasingly outpaces our biological limits.
- Planetary Intelligence — The Foundational Body
Walk the Arctic shoreline with an Inuit elder, and you’ll learn to read ice through generations of embodied knowledge. Now imagine this elder working alongside researchers with thermal imaging equipment, both reading the same ice through different senses yet contributing to protocols that guide travel and food security as the Arctic transforms.
In the boreal forests of Quebec, Sentinel North, a Université Laval research program backed by the Canadian government through last summer, used optical instruments and thermal sensors alongside Indigenous knowledge-bearers to read the language of snow and ice. Together, researchers used these tools to create protocols that translate planetary signals into human action. When an elder pointed to ice formations that indicated dangerous conditions and then instruments confirmed changing temperature gradients, they collectively formed a complete circuit of understanding.
This is planetary intelligence in action — the body of the system with its cycles, systemic thresholds and interconnections setting the terms that all other forms of intelligence must respect.
The planet speaks through cadence and boundaries. Its voice can be found in carbon and water cycles, jet streams and ocean currents, migration corridors and nutrient flows. For billions of years, Earth has self-regulated through such coupled feedback. Environmentalist James Lovelock framed this self-regulating system as “Gaia”; Scientists Tim Lenton and Bruno Latour updated this concept to “Gaia 2.0” by equipping Earth with reflexivity through coupling sensors, computation and institutions so that deliberate self-regulation became possible.
If planetary intelligence has a nervous system, it also requires memory. The Global Biodiversity Information Facility (GBIF), a global network and open-access infrastructure funded by governments worldwide, functions precisely like this: A distributed memory weaves millions of records from field notes, museum collections, citizen observations and satellite traces into a living archive, one where signal becomes legible at the timescale where planetary shifts actually unfold.
When researchers track monarch butterfly migration routes through this system, they show how climate shifts are rewriting ancient flight paths that are only visible when traced across decades. The butterflies themselves become messengers, their changing routes speaking volumes about the planetary boundaries we are crossing.
“Here is one way civilization might meet the interwoven crises of our time — by aligning human, machine and planetary intelligence into a working whole.”
Europe’s Destination Earth, a European Commission initiative, takes this planetary sensing to new levels by building digital twins of the Earth system. When civil protection teams use these models to simulate how a predicted heat dome might stress power grids, they’re allowing Earth to preview possible futures before critical thresholds are crossed. The models serve as Earth’s anticipatory imagination, expanding the range of futures we can perceive and respond to.
Across these examples, planetary intelligence manifests as signals and limits that guide action. Ice phenology, soil moisture, atmospheric rivers, biodiversity indices — this is Earth’s language, communicating boundaries that we must respect.
Thought Experiment: Wildfire With A Nervous System
During the summer of 2023, Canada recorded the largest area burned in its modern record. On government dashboards, risk indicators showed “manageable” conditions — until they didn’t. Winds shifted suddenly. Dry lightning ignited multiple sites. Fires vaulted ridgelines. Communities had minutes, not hours, to evacuate as flames consumed homes, forests and memories.
After-action studies illuminate a familiar pattern: The data were evident. Satellites had tracked the hotspots, weather models had run their simulations, and experts had issued warnings. Yet these signals never cohered into timely action. Information was abundant, yet alignment was missing. The failure wasn’t technological; it was neural. Our civilization’s nervous system misfired at precisely the moment attunement was most needed.
In contrast, across northern Australia, Indigenous-led savanna burning programs show what becomes possible when traditional fire knowledge and technology find symbiosis. In Australia’s Northern Territory, the West Arnhem Land Fire Abatement (WALFA) program was an early model at the landscape scale covering nearly 7 million acres, with Aboriginal fire practitioners conducting early-season burns guided by generational practice, while satellite data tracks changing fire patterns. Large-scale studies of Indigenous fire management show a pronounced shift from late- to early= dry-season fire regimes, with fewer destructive late-season wildfires across much of the managed landscape.
In WALFA itself, the share of country burned late in the dry season dropped from roughly a third to about a tenth in its first years of operation. This isn’t a one-off intervention. It’s a maintained circuit — practice, sensing and accountability — that holds the system in a different rhythm. The difference lies in the integration: a unified loop that forms when human stewardship, machine sensing and planetary cycles align.
Now reimagine the Canadian wildfire with a functioning planetary nervous system.
A Gitxsan elder walks the forest edge in early June, noting how the sap runs in cedars, how the soil crumbles between her fingers, how birds call with unusual urgency. This embodied knowledge registers subtle cues that no satellite can detect. Her observations are fed into a regional fire management system alongside moisture readings from networked soil sensors and infrared imagery from orbit.
The data flows to GraphCast-class AI models trained on decades of fire behavior data. Unlike conventional risk indicators, these systems produce living maps that visualize not just current conditions, but uncertainty gradients and timing thresholds. Most crucially, outputs flow back to local crews and communities that have the authority to act on edge signals before centralized dashboards even register concern.
When winds begin shifting in early August, integrated sensing reveals patterns hours before conventional systems would detect them. Indigenous fire practitioners initiate strategic burns to create natural breaks. Community evacuation protocols are activated in a gradual sequence to prevent panic.
The fire still comes; planetary cycles of burn and renewal cannot be eliminated. But its path and impact transform when human, machine and planetary intelligence align. The event still occurs, but the difference lies in how the system responds: with anticipation rather than reaction, and with coordination instead of chaos.
This circulation across dimensions prioritizes what is salient at the edge rather than only what is legible at the center. Local knowledge and agency become foundations, supported rather than supplanted by technical systems. The goal isn’t control, but coherence — aligning human choice with planetary rhythms at speeds that matter.
The tragedy of the 2023 wildfires wasn’t just their unprecedented scale. It was that we possessed all the pieces of a functioning nervous system but failed to integrate them in time. The nervous system was present, yet fragmented — machine intelligence detected patterns, planetary intelligence provided signals, human intelligence held wisdom — and everything remained in isolated streams rather than a harmonious flow.
What the wildfire exemplifies today, however, is an invitation to reimagine how these intelligences might function together before the next crisis arrives.
“Machine intelligence serves as civilization’s reflex arc, detecting signals that are too complex or too subtle for unaided human perception.”
Changing Practice
What’s changing is not only how we use technology but also how we relate to one another and to a living world. No longer seeking the illusion of perfect foresight, we are moving from prediction to participation, learning to sense and respond with the wisdom that comes from being in dialogue with living systems.
The architecture of our attention transforms as well, flowing from central command to distributed coherence. In the body’s wisdom, the fingertips don’t wait for the brain’s permission to pull back from heat. Similarly, signals at the edge — in communities, in ecosystems, at boundaries — often register shifts long before they become legible to models at the center. We are learning to listen to what the margins know first.
Perhaps most fundamentally, we are shifting from optimization, the restless hunt for the highest peak on a single metric, to attunement, where success means keeping elements in balance. Fire, water, carbon, attention: these elements ask not to be maximized, but to be held in reciprocal maintenance.
And finally, we are walking away from extraction and toward relationship. Knowledge no longer flows in one direction — from subject to observer or from resource to extractor. Instead, it circulates. Communities and ecologies transform from data sources into partners and from resources into teachers. In this relational paradigm, intelligence doesn’t reside in any single node, but rather it emerges in the sacred space between them.
The power is in the interconnection: when planetary constraints, machine signals and human judgment form a circuit. Planetary sapience won’t come from an all-knowing AGI, but from more-than-human intelligence cultivated in symbiosis. As biologist Lynn Margulis reminds us in her book “Symbiosis in Cell Evolution,” evolution advances by mutualistic coupling. In the same way, satellites, sensors and models become organs of sensation only when paired with cultures, ethics and governance that honor living thresholds.
The planetary nervous system is a design brief for this century. Fires and floods make clear that the technosphere and biosphere are already entangled; our work is to make that entanglement generative — capable of producing new forms of coherence, care and adaptive intelligence — rather than reactive or extractive. That means treating tools as organs of sensation, building governance that honors shared consent, and keeping natural limits — like fire, water, carbon and biodiversity — in view.
Above all, this design brief requires moral maturity: that we exercise power with care, curiosity and accountability — a planetary adulthood practiced as reciprocal maintenance.
We already hold enough intelligences to finish wiring the nerves of land, code and culture. The task now is to grow into coherence.
