New Climate Study Seeks To Punish AI Companies For Their Excellence
Just when you think the climate alarm industry could not possibly get any more absurd than it has already become, they go and prove you wrong again.


Just when you think the climate alarm industry could not possibly get any more absurd than it has already become, they go and prove you wrong again. This week’s example of this enduring phenomenon comes from a glaring headline attached to a story from the leftwing billionaire-funded media operation, Inside Climate News: “AI Applications for Oil and Gas Companies Worsen Climate Pollution.”
This story details the findings of a study recently published in the journal Nature conducted by the Enabled Emissions Campaign (EEC), which was founded a pair of artificial intelligence developers turned climate activists. As is sadly typical of such “studies,” about 2 minutes of web searching reveals that the EEC — through its own funders at the Oil & Gas Action Network — is also funded by leftwing billionaires and their various foundations and NGOs, including Rockefeller Philanthropy Advisors.
Oh. How tiresome and completely unsurprising.
All that background having been stipulated, the central finding in the EEC leftwing billionaire-funded study is that “AI tools used by oil and gas companies have made production faster, cheaper and more profitable, expanding output that otherwise wouldn’t happen.” In other words, the AI tools deployed in the oil and gas industry are turning out to be highly effective at doing the jobs they are supposed to do.
So, you might ask if you possess common sense, how is this a bad thing? Naturally, it all boils down to the mania about what they deem to be too much carbon dioxide — plant food, the fundamental building block for all life forms on Planet Earth — in the atmosphere. The study says that, because these AI tools are so amazingly good at their assigned tasks, the rising oil and gas volumes they’ve helped stimulate will increase global carbon emissions by 0.47 to 1.8 gigatons every year.



