[DigitalToday reporter Jinju Hong (홍진주)] Google is pushing ahead with a field trial in Florida to release male mosquitoes carrying Wolbachia bacteria on a large scale. It would use mosquitoes selected using artificial intelligence and automation to cut mosquito populations and curb the spread of mosquito-borne diseases such as West Nile virus.

U.S. Environmental Protection Agency (EPA) public documents cited by BeInCrypto on May 31 (local time) show Google life sciences project Debug applied for approval for field trials to release up to 32 million Wolbachia-treated male house mosquitoes in Florida and up to 32 million in California. In Florida, it plans to release 16 million in the first year and 16 million in the second year.

The application is included in an EPA public document (EPA-HQ-OPP-2025-3951), and the public comment period runs until June 5. The EPA will then review it and decide whether to approve it.

The trial targets male house mosquitoes carrying Wolbachia pipientis (wAlbB). House mosquitoes are known as a species linked to the spread of West Nile virus. Google plans to use the experiment to secure field data needed for future product registration under the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA).

The term "pesticide" here does not mean spraying typical chemicals. The EPA classifies population-suppression technology using Wolbachia as a biological control method and is reviewing it as a regulated field trial. The key is reducing pest populations through biological methods instead of chemicals.

The mechanism is relatively simple. When male mosquitoes carrying Wolbachia mate with wild females that do not carry the bacteria, the eggs do not hatch normally. Repeating such releases can gradually reduce mosquito populations in the area. Google explained it plans to release only male mosquitoes, which do not bite humans.

Google's strength lies less in mosquito biology than in mass-scale operating systems. Large-scale releases require accurate, industrial-scale separation of males and females, and Debug uses AI and automation to sort mosquitoes by sex and manage mass rearing and release processes.

The company explained that sex classification is a key bottleneck for scaling the program. If females are mixed in and released, safety issues can arise, so the accuracy of AI-based automated sorting determines whether the business succeeds, it said.

There are real-world deployments as well. Debug has been running "Project Wolbachia" with Singapore's National Environment Agency (NEA) since 2018. In Singapore, it has continuously released Wolbachia male mosquitoes targeting Aedes aegypti, a major vector of dengue fever.

Official data show Aedes aegypti populations fell 80 to 90 percent in areas where the program was applied, and residents' risk of dengue infection dropped by more than 70 percent. Debug is currently releasing more than 10,000,000 male Wolbachia mosquitoes a week in Singapore, and its local research and development hub uses AI-based sex classification and robotics technologies.

The industry views the application as an example showing the use of AI technology expanding beyond software services into physical, on-the-ground operations. It is not just an experiment in control technology, but a new type of operating platform combining AI, robotics, biology and logistics systems undergoing regulatory review.

Depending on the EPA's final decision, Google could move ahead with its first large-scale field trial in the United States. If approved, trials will run for two years in Florida and California, and are expected to have a significant impact on the commercialisation of biological control technologies and the establishment of regulatory standards.

Google's next product launch is 32 million mosquitoes. California and Florida are the test markets. The goal is disease control through mass sterile mosquito release, a proven method, but this is the first time a tech giant has deployed it at this scale. Google went from… pic.twitter.com/raHRzjfAu9