The technology reshaping conservation is moving at breakneck speed for traffickers and those working to stop them. What began a decade ago as the Buckingham Palace Declaration, a pledge by transport and logistics firms to disrupt the illegal wildlife trade, has become an AI-powered ecosystem of detection, intelligence and enforcement.

“The pace of technological advancement has been incredibly fast, which is good news for wildlife,” says Dr Tom Clements, Executive Director of The Royal Foundation. “But criminals are advancing too, so it’s a race to keep up. AI and responsible tech adoption need to be funded, alongside capacity building in the field.”

The scale of change in the last ten years is striking. Environmental crime now generates hundreds of billions of dollars a year, among the fastest-growing transnational criminal economies but so have the countermeasures. Predictive systems like PAWS, developed at the University of Southern California, use machine learning and game theory to anticipate poaching and generate randomised patrol routes that keep rangers unpredictable. Elsewhere satellite monitoring catches illegal land clearing in near real-time: Global Forest Watch issues weekly alerts precise enough to spot a clearing half the size of a football pitch. Google’s Wildlife Insights classifies species from camera-trap images up to 3,000 times faster than human experts, and its SpeciesNet model is now open-source, putting that capability within reach of any conservation group.

Following the money

For business, the financial dimension is the most direct. The illegal wildlife trade is worth billions a year, and the Financial Action Task Force now treats environmental crime as a money-laundering offence, obliging banks to flag suspicious transactions. FinTech tools analysing transaction patterns are being piloted across Southeast Asia to detect trafficking payments. This work that is central to the United for Wildlife Financial Taskforce’s decade-long push to treat wildlife crime as seriously as drug trafficking.

Crypto is however emerging as an unexpected ally. Traffickers have turned to cryptocurrency to move funds, but its defining feature works against them: every transaction is recorded on a permanent, public ledger. Blockchain-analytics tools can trace those flows across borders, giving investigators a forensic trail that cash never leaves. The same distributed-ledger technology is hardening supply chains, too. Platforms like OpenSC, launched by WWF and BCG Digital Ventures, track products from catch to consumer using tags, GPS and blockchain, making it far harder to pass illegal goods off as legal an – approach now being extended to timber and other high-risk commodities.

The traffickers innovate too

Online marketplaces are now the dominant channel for live animals and wildlife products. GI-TOC’s April 2026 report, Wildlife Has a Facebook Problem, found over 266,000 wildlife products in nearly 22,000 adverts on 61 platforms in under two years, with sellers using coded language and multiple accounts to avoid detection. The Coalition to End Wildlife Trafficking Online 50-plus members including Alibaba, eBay and Google has blocked 63.3 million prohibited listings since 2018, up from 24.1 million in September 2024. The leap reflects better AI detection, but also how much previously slipped through.

But technology alone isn’t enough. Acoustic sensors, thermal drones and environmental-DNA forensics all depend on trained rangers, customs officers and prosecutors to act on what they find. That human infrastructure needs investment at the same pace as the tech.

What business can do

As the Buckingham Palace Declaration enters its second decade, the ask of business has sharpened. It’s no longer simply about signing pledges. It’s about embedding conservation intelligence into supply chains, compliance frameworks and investment decisions. It’s about treating the billion illegal wildlife economy not as a distant conservation issue but as a material business risk.

With the Taskforce on Nature-related Financial Disclosures moving to fold environmental crime into its framework, companies that invested early in traceability and AI monitoring will be best placed. Those that didn’t will find the gap increasingly hard to close.