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Beyondmonitoring, AI plays a role in risk forecasting and compliance.
CEO and Co-founder at Treefera.
How does AI technology improve the accuracy and reliability of carbon offset measurements compared to traditional methods?
Historically, carbon markets have relied on manual verification and estimates based on projections rather than real-world impact.
This has led to concerns about credibility and market integrity.
AI-powered analysis of soil carbon sequestration ensures that carbon farming and regenerative agriculture credits are measurable and defensible.
One of the biggest challenges isdataintegrity.
Another challenge is the time and cost ofprojectverification.
Traditional methods can take years for a carbon credit project to be audited and approved.
AI-powered automation is now reducing project registration times from multiple years to just weeks, significantly accelerating climate action.
Regulation is also catching up.
How will AI shape the fight against climate change over the next 5-10 years?
AI can also enhance climate risk forecasting, helping businesses and governments anticipate disruptions and adapt before crises hit.
We are also seeing a growing intersection of AI and blockchain in sustainability.
How has technology directly contributed to more effective decarbonization efforts or improved sustainability practices?
Transparency has long been a challenge in sustainability efforts.
While satellites and AI can provide visibility into environmental impact, the real issue is verification and accountability.
This acceleration is critical because it increases the speed at which capital can flow into high-impact climate projects.
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The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
