The Role of Data Analytics and Artificial Intelligence in Addressing Climate Change

One such source contributing to the understanding of climate technology and analytics is The Economist’s series of articles related to artificial intelligence and climate change. In a series of articles, The Economist identifies how analytics and AI can make a difference in dealing with climate issues, such as using them for increased efficiency, forecasting, and decision-making in a system involving a large degree of complexity. Such an approach views analytics not as a technology with the capacity to resolve climate change but rather an enabler for dealing with climate change.

Economist magazine highlights how climate change is a data challenge in essence. Climate Earth comprises a massive amount of information, such as weather systems, usage of energy, agricultural production, emission statistics, and inf rastructure performance, which is very hard to make sense of without using analytics. Through using climate modeling using AI, predictive analysis, and optimization solutions, Economist magazine tells how analytical solutions can aid in better risk and uncertainty management. For instance, better climate models enable policymakers to predict heavy weather with higher accuracy, thus allowing early warning systems and better disaster readiness.

Additionally, the source links analytics with mitigation of climate change based on efficiency gains. The Economist regularly highlights how AI-powered analytics can smoothen electricity consumption in power grids by increasing efficiency in energy usage, in addition to optimizing logistics in supply chains. Such examples prove that by making decisions based on analysis of data, emissions can be reduced without necessarily relying on major behavioral shifts. Therefore, analysis can be approached for making climate mitigation more feasible.

Worth noting, too, is that The Economist does not come across as if climate analytics is a risk-free or foolproof technology. The magazine recognizes that climate analytics using AI is a very resource-intensive process in terms of computation and energy, and this can be a source of greenhouse gas emissions if these energy sources are fossil fuels. Of course, this lends a degree of credibility to this stance because it recognizes that climate analytics need to be used in a responsible manner.

Instead, by emphasizing practical application over pure innovation, The Economist informs public perception of climate technology being application-centric and focused on delivering results. Analytics are presented in the magazine as a tool for making decisions in a way that enables better resource allocation and a better understanding of climate risk, which in turn affects how policymakers, investors, and students view climate technology not in terms of experimental research but rather a necessity. In summary, The Economist series relates climate change and analytics in a manner which highlights how analytics can increase understanding, efficiency, and resilience in a world under climatic uncertainty. Although this series of articles does not assert a solution for climate change through analytics, it definitely promotes the growing need for making smarter decisions with climate change using data.

Reference: The Economist. (2023). How artificial intelligence could help to fight climate change. https://www.economist.com

"Robert Keepers: Why JPMorgan Hired a Head of Climate Tech"

 

One of the world’s largest financial institutions is creating a new position in its leadership to better invest in climate technologies and to accelerate the growth of clean energy and climate analytics. In addition, JPMorgan has already deployed $900 billion toward its $2.5 trillion sustainable financing commitment. In my climate technology course, we study climate impacts through data, mapping, and geospatial analysis. But this article adds a valuable dimension to the climate‑technology conversation by highlighting the growing role of major global financial institutions in climate‑tech investment and demonstrating just how significant this industry is becoming. It underscores how influential private‑capital firms are in determining the trajectory of the climate‑tech sector and its potential to become a core industry. It indicates that major financial institutions are accelerating their engagement with the climate‑tech industry, signaling a broader shift in investment priorities. 

This article highlights the major shift in the major financial institutions in how they are valuing and taking the climate technology industry as an important sector. This is signaling to the financial investment sector that the climate technology industry is a future core sector for economic growth. This reflects a notable shift in thinking, as the climate‑technology industry has historically been perceived as a risky space with no guaranteed returns, which has limited investor interest. It further reflects a shift toward valuing positive climate impact, pushing for other major corporations to evaluate and reduce the environmental effects of their activities. JPMorgan's creation of a dedicated position for the Head of Climate Tech is a message to the industry of its commitment to invest in the climate technology sector. It’s a strong stance that commitment is a long-term implementation rather than after thought to the industry. It recognizes the climate technology industry as a fast-moving investment opportunity along with its climate-beneficial impact. It demonstrates that when major financial institutions decide to invest and support the new climate technologies, it often accelerates the expansion of the sector. 

This article highlights the private capital aspect of climate tech being an investment opportunity. But it overshadows the climate technology core value of creating solutions to help with the climate crisis the world is facing. It raises questions about whether the climate‑tech industry will be driven by profit margins in the future in ways that may sideline need‑based, innovative solutions. It does not address how this shift in position will assess the risks associated with climate technologies or evaluate the real‑world impact of such a long‑term commitment. It further highlights that all eight major banks have withdrawn from the Net‑Zero Banking Alliance, effectively abandoning their 2030 net‑zero goals, which raises broader questions about the credibility and durability of voluntary climate‑finance frameworks. A major financial institution such as JPMorgan plays a pivotal role in shaping the economic trajectory of the climate‑technology sector. The establishment of a dedicated climate‑tech division signals to the broader market that this industry represents a strategically significant and financially viable investment. Such a move not only legitimizes the sector but also increases the likelihood that other major financial institutions will follow suit, amplify capital flows, and accelerate industry‑wide growth.

Reference: 

Robert Keepers: Why JPMorgan Hired a Head of Climate Tech | Sustainability Magazine

Understanding Zillow’s Climate-Risk Score Removal: Market Pressures vs. Consumer Transparency

Beginning in September 2024, Zillow displayed climate-risk scores generated by First Street, a New York–based startup that analyzes property-level exposure to hazards such as floods, fires, wind, air quality, and heat. Using historical and publicly available data, First Street aimed to give homebuyers a clearer understanding of the environmental risks tied to each property.

However, just over a year after launching the feature, Zillow removed the scores from more than one million listings. The change followed significant pushback from the California Regional Multiple Listing Service (CRMLS) and real estate agents across several states. Some agents argued that the risk labels introduced concerns that buyers wouldn’t otherwise have had, potentially harming sales. Although Zillow no longer shows the scores directly, it now provides a link directing users to First Street’s external site, ultimately making climate-risk information less prominent and less transparent than before.

The removal of Zillow’s climate-risk scores genuinely surprised me because they offered a level of transparency that homebuyers rarely had access to. When exploring First Street’s website, it’s clear their analysis goes far beyond a simple 1–10 rating. They provide risk maps, histories of past weather-related events, projected insurance cost changes, and other meaningful data that help buyers understand long-term exposure. It’s reassuring that the information still exists, but disappointing that it has been reduced to a link that many buyers may overlook.

I strongly believe Zillow should prioritize transparency for buyers over real-estate agents’ sales concerns. As Mathew Eby pointed out, “The risk doesn’t go away; it just moves from a pre-purchase decision into a post-purchase liability.” That statement captures the core issue. Investors, insurers, and cities already use climate-risk analytics to make decisions, and insurance companies often raise premiums or withdraw coverage entirely when properties become too risky. We’ve already seen lawsuits from Los Angeles homeowners whose wildfire-related claims were denied after the Eaton and Palisade fires. While some question the accuracy of climate-risk models, First Street’s analysis identified over 90% of the homes that eventually burned — suggesting the models are more reliable than critics assume.

Ultimately, this feels like a battle between real-estate agents and the average homebuyer. As the article notes, “In offering homebuyers’ access to the same data, Zillow helped level the playing field. But thanks to the objections of real estate agents, consumers have one more hoop to jump through.”, and it’s a hoop they shouldn’t have to deal with. In an era where climate risks are increasing, access to clear information is essential for making responsible financial decisions. For that reason, Zillow should reinstate First Street’s climate-risk data directly on listings rather than hiding it behind a link.

References: 

912 LIGHTHOUSE DR, NORTH PALM BEACH, FL 33408 | Climate Risk Report | First Street

LA homeowners are suing insurance companies for not covering damages from the fires : NPR

Zillow drops climate risk scores after agents complained of lost sales | TechCrunch

"They Held a Climate Summit in the Amazon. They Didn’t Account for the Rain."

The article that I chose to read for the 3^rd blog was from The Wall Street Journal, titled “They Held a Climate Summit in the Amazon. They Didn’t Account for the Rain.” In this article, that talk about the summit, COP30, held in Belém, Pará, Brazil. The chosen area for the summit is significant in this article because this is the gateway city to the Amazon rainforest. While the delegates were there to negotiate climate action, they experienced a taste of what vulnerable regions are currently experiencing with storms and heavy rainfall. The article describes that they had many issues, such as tents leaking, roof holes, water seeping into ventilation, and not being able to hear themselves over the rain. One of the bigger impacts from the weather was a fire breaking out as well. Overall, the article highlights that this summit was one big disaster for all of the attendees. As states in the article, “The high temperatures do help frame conversation on the reality of what we’re dealing with.”

              I thought this article was a perfect example of what we’re researching in this class. As the article highlights, we’re starting to see how the climate is starting to get much worse, especially in places like the Amazon rainforest where it’s becoming more extreme and unsafe to live in. I brought this article up in particular because it’s a perfect example of how people aren’t taking climate change into account yet. For setting up a summit in near the Amazon rainforest, you’d think they would take the weather into consideration when planning to put people in tents. However, for those who aren’t living in these extreme weather situations, they aren't prepared for the harsh reality when it comes for them. Another example I have for this is what happened to Long Beach Island in New Jersey, which is what I’m doing for my final project. When Hurricane Sandy hit the island, a lot of home owners weren’t prepared for the flooding or harsh weather. The storm ended up wiping out a lot of the houses on the island that weren’t above ground. Now, years later, you can see that most of the houses on the island are above ground, especially near the shore, because they don’t want the same thing to happen again.

              Overall, I thought this article gave some perfect insight of how people are currently reacting to the climate crisis. In the future, I hope we are more advanced with predicting our weather so accidents like this one don’t happen again and so we can help keep people safe in cases of extreme weather.

 

Article: https://www.wsj.com/us-news/climate-environment/they-held-a-climate-summit-in-the-amazon-they-didnt-account-for-the-rain-19373680?mod=environment_news_article_pos4

MIT Explained: Generative AI's Environmental Impact

After reading the MIT News article on the environmental impact of generative AI, I found myself thinking a lot about the hidden side of “the cloud.” I usually picture AI as this clean, digital thing, type a question, get an answer, but the article is a reminder that there’s a very real physical cost behind it. Massive data centers, huge energy demand, tons of water for cooling, all of that is part of the story every time generative AI is used. And I completely agree with the author on this point, AI isn’t magical. It runs on electricity, and right now, that energy usually comes with a carbon footprint attached.

I also appreciated the way the article pushed back against the idea that only training these big models is the problem. The environmental impact continues every single time someone runs a prompt. Inference, the part we interact with, is happening constantly and everywhere. It’s easy to forget that because the burden is invisible to the user. I think the article makes that point really well, and it’s something most people probably don’t realize.

That said, there were a few things I wish the article had gone deeper on. For example, the piece focuses heavily on the costs of generative AI, but it barely touches on the benefits. AI isn’t just about writing essays, it’s also being used to optimize supply chains and model climate scenarios, and improve efficiency in ways that could reduce emissions. I’m not saying that cancels out the environmental footprint, but I do think a fair discussion needs to look at the full picture, not just the downside.

Another point where I felt the article oversimplified things is around energy sources. Yes, data centers use a lot of power. But not all data centers are equal. Some run on mostly renewable energy, some use advanced cooling systems, and the efficiency of AI hardware is improving really quickly. The article acknowledges this a little, but it mostly sticks to a “things are getting worse” narrative. In reality, there’s a lot of innovation happening right now.

I also wish the article had talked more about accountability. Who should be responsible for managing AI’s environmental footprint? The companies building these models? Governments? Users? Without clear reporting standards for energy use, water consumption, and emissions, it’s almost impossible to know whether we’re actually making progress. Transparency is a huge missing piece in this conversation.

But overall, the article made me think, in a good way. It highlights a problem that’s easy to ignore because it feels distant and abstract. It’s a reminder that digital tools still have real-world consequences. At the same time, I’m hopeful. If we push for better standards, better reporting, and better technology, AI doesn’t have to be at odds with environmental goals. It can actually help us reach them. The challenge is making sure we’re honest about the trade-offs, and willing to design systems that don’t hide the cost.

Reference: Explained: Generative AI’s Environmental Impact,  https://news.mit.edu/2025/explained-generative-ai-environmental-impact-0117