The scientific community continues to follow the ambitious project of biotechnology startup Colossal Biosciences, which has set out to bring woolly mammoths back to life thousands of years after their extinction. However, these ambitious plans have collided with harsh genetic reality: the timeframe for the appearance of the first calves has been officially postponed to the early 2030s. Initially, back in 2024, developers expected to demonstrate a living result of their work in just four years, but the complexity of biological processes has adjusted the research calendar.
According to company CEO Benjamin Lamm in an interview with TIME, the key reason for the delay is the colossal complication of genome-editing tasks. While in the early stages of the project scientists assumed that transforming an ordinary elephant's cell nucleus into a mammoth's would require targeted changes to about 60 genes, in-depth DNA analysis from frozen Siberian remains discovered in 2018 revealed a fundamentally different picture. To recreate the key anatomical and physiological features of the ancient giant — such as thick fur, the ability to endure extreme cold, skull shape, and reduced ear size — geneticists had to adjust over 150 unique genes.
The Role of Artificial Intelligence in the Genetic Breakthrough
To cope with the colossal volume of data and accelerate the DNA modeling process, researchers are actively utilizing artificial intelligence capabilities paired with advanced CRISPR gene-editing technology. Neural networks and machine learning algorithms analyze massive arrays of information, identifying hidden evolutionary differences between modern Asian elephants and their extinct Pleistocene relatives. Without advanced AI software, processing such complex nucleotide combinations would take scientists decades.
Contradictory Data
Discussions and discrepancies regarding the project's real prospects and implementation timelines regularly emerge in the expert community and media around Colossal Biosciences. While early press releases in 2024 confidently claimed embryo readiness by the end of the current decade, current leadership statements in 2026 shift the planning horizon to an indefinite period in the early 2030s. Additionally, some independent biologists express skepticism about the viability of hybrid animals in modern ecosystems, whereas project creators insist on the successful experience of partially reviving extinct species, citing progress with other animals, including the successful completion of extinct wolf restoration projects in 2025.
Despite all technological challenges and inevitable delays, the startup team remains completely optimistic. The integration of biology, genetics, and artificial intelligence opens a new era in de-extinction — bringing back lost species. Scientists are confident that human-machine collaboration will overcome the final barriers in the DNA structure, create a viable embryo, and return majestic mammoths to the Siberian tundra-steppes in the coming decade.
