A new analysis of Stonehenge, carried out with the help of artificial intelligence, suggests the famous monument is part of a much larger network of buried structures than previously understood. Researchers fed years of ground-penetrating radar and magnetometer data into an AI program designed to identify patterns in the landscape. The program produced a three-dimensional map of the area and identified 17 previously unknown monuments, including ceremonial circles, as well as 20 large shafts near the nearby Durrington Walls site.
The shafts at Durrington Walls are each over 16 feet deep and roughly 65 feet across. According to the AI’s analysis, they form a circle more than half a mile wide. The new map also linked the shafts, the monuments, and other buried features into what researchers describe as a single connected landscape. The findings expand the understanding of Stonehenge from a standalone stone circle into the center of a much larger ceremonial complex.
The analysis also incorporated geological and chemical data about the stones themselves. The findings confirmed earlier research that the stones were brought to the site from distant locations. The altar stone, a six-ton block at the center of the monument, has been traced to northeast Scotland, over 500 miles away. The larger sarsen stones came from West Woods, about 15 miles north of the site, and the smaller bluestones originated in the Preseli Hills in Wales, over 140 miles to the west.
Isotopic analysis of human remains buried at Stonehenge indicates that nearly half of those individuals spent their early years outside the Salisbury Plain. Ancient DNA and analysis of animal bones suggest people traveled from Wales, northwest England, and other regions for gatherings at Durrington Walls. Archaeologist Mike Parker Pearson has argued for years that Stonehenge was a monument of unification for the peoples of Britain. The new data appears to support that interpretation.
The AI program also cross-referenced the locations of the buried structures against known movements of the sun, moon, and stars. The results indicate that the complex aligns with solar and lunar cycles in ways more elaborate than a simple seasonal calendar. Two pits identified near a feature called the Greater Cursus, one north and one south of the monument, appear to mark the positions of the midsummer sunrise and sunset relative to Stonehenge’s heel stone. The AI’s mapping suggests these points form a geometric triangle across the landscape.
The program also compared the Stonehenge data with information from other ancient megalithic sites, including G\u00f6bekli Tepe in Turkey, Avebury and Silbury Hill in England, and the Great Pyramid in Egypt. The AI flagged similar patterns of large stones, astronomical alignments, and coordinated construction at these sites. Some researchers have speculated that these monuments may have been built in response to a shared cosmic event, such as a comet strike. The Younger Dryas impact hypothesis, which suggests a cosmic event triggered a period of cooling roughly 12,000 years ago, has been proposed as a possible explanation for the similarities. This remains a theory rather than a confirmed finding.
The AI also ran acoustic simulations on the site. The bluestones at Stonehenge are known to produce a metallic ringing sound when struck, similar to a lithophone. The program modeled how sound generated at the center of the monument might interact with the surrounding landscape. Its simulations suggested that the layout of the stones and the large pits at Durrington Walls could create a low-frequency resonating effect across the surrounding area. Some researchers have proposed that such infrasound could produce altered states of consciousness in large groups of people. This remains speculative.
Further analysis examined the electromagnetic properties of the stones. The sarsen stones contain quartz, which can generate an electric charge under pressure, and the bluestones have conductive crystalline structures. The AI’s models raised the possibility that the site was designed to interact with the Earth’s natural electromagnetic field. Some have suggested the complex could have functioned as a kind of energy-focusing device. No direct evidence confirms this theory.
The AI also flagged microscopic tool marks on the stones that do not match known Neolithic tools. The program compared the marks against its database and found a match with modern ultrasonic drilling technology. This has led to speculation that the stones may predate the Neolithic builders who assembled them. No excavation or physical testing has confirmed this claim, and it remains highly speculative.
Project Kronos, the program behind the analysis, has not released the model’s full data set. The project’s findings have not been published in a peer-reviewed scientific journal, and the claims should be treated with caution. Some of the broader interpretations, including the possibility of an advanced earlier civilization or an electromagnetic portal, go far beyond what the fieldwork data can support on its own.
The research has, however, drawn renewed attention to the scale of the Stonehenge landscape. The site is not an isolated structure but part of a dense network of monuments and earthworks spanning several miles. The AI’s contribution is the speed and scale at which it can connect isolated features into a coherent map. That map, combined with ongoing fieldwork, may continue to reshape understanding of how the monument was built and why. The full purpose of the complex remains unknown.
