Why do I say that? AI benefits conservation not by directly "solving problems" or conducting analysis, but by empowering humans to undertake those exact tasks. Nowadays, data capturing and entry have become standard practice for researchers. Those tasks are monotonous and not the primary motivation for which most ecologists or conservationists pursue their degrees in the first place. They want to get down to business, they want to do the work, figure out the solutions and create! So here's my take; let the AI platforms take care of the boring stuff, the data analysis, the readings and pattern finding - then let the humans use that information to start building projects. The theory is that the entire process of wildlife conservation will become far more effective  and exciting - and cost effective mind you.

So now there is a lot of talk on this topic, but I think Tuan Le summarizes this very well. After reading Tuan Le’s article, it’s clear that the tech movement in wildlife conservation is a game-changer. Contrary to fears of technology displacing jobs, it’s actually freeing conservationists from the chains of data entry and admin tasks, allowing them to dive into decision-making and hands-on project work.

Le’s article does a great job highlighting the transformative power of technology in wildlife conservation. Here are the key takeaways from his article:

1. Enhanced Research and Monitoring:

Smarter tech like AI, cloud computing, and IoT are revolutionizing how we collect and analyze data. These tools lift the burden of manual tasks, making research and monitoring more efficient and less costly. Tēnaka’s use of AI-based data analysis is a perfect example. It enables real-time monitoring, allowing conservationists to respond quickly to changes, thus boosting the overall efficiency of their efforts.

2. Minimizing Environmental Disruptions:

 Leveraging advanced technologies like 5G, AI, and robotics helps reduce human interference in natural habitats. Le’s mention of underwater monitoring devices with AI algorithms shows how we can track marine life without disturbing ecosystems. This approach ensures that our conservation efforts are as non-invasive as possible.

3. Operational Efficiency:

Automating tedious tasks such as data entry and processing allows conservationists to focus on more strategic activities. Le highlights how Tēnaka has streamlined its operations through tech solutions, freeing up valuable time and resources. This shift enables conservationists to concentrate on achieving their conservation goals more effectively.

4.Collaborative Synergy:

The article emphasizes the importance of cross-industry collaboration in conservation. By partnering with tech experts, organizations like Tēnaka can tap into specialized skills and resources. This collaboration results in more robust and secure data management and innovative solutions for biodiversity preservation.

In essence, Le’s article underscores that technology, when used ethically and inclusively, can be a powerful ally in biodiversity conservation. It improves efficiency and effectiveness, creating opportunities for conservationists to engage more deeply in strategic planning and on-the-ground projects. By alleviating administrative burdens, technology allows conservationists to focus on what truly matters—protecting our planet’s biodiversity.