Trending Now
We have updated our Privacy Policy and Terms of Use for Eurasia Group and its affiliates, including GZERO Media, to clarify the types of data we collect, how we collect it, how we use data and with whom we share data. By using our website you consent to our Terms and Conditions and Privacy Policy, including the transfer of your personal data to the United States from your country of residence, and our use of cookies described in our Cookie Policy.
{{ subpage.title }}
Startup Cerebras System's new AI supercomputer Andromeda is seen at a data center in Santa Clara, California, U.S. October 2022.
Hard Numbers: Electricity drain, Coal in demand, Ignoring AI, Deal for Palantir, China’s chip fund
9.1: The nonprofit Electric Power Research Institute estimates that data centers will drain up to 9.1% of US electricity by 2030. Last year it was just 4%, but the rise of artificial intelligence has placed newfound demands for easily accessible computing power.
54: The increased energy demands from AI have even slowed US plans to close coal plants. 54 gigawatts of coal-based power generators are expected to be retired by 2030, a number that has fallen 40% from last year’s estimate from S&P Global Commodity Insights.
2: Only 2% of Brits say they use ChatGPT or another AI technology every single day, according to a new survey from Reuters Institute and Oxford University. “Large parts of the public are not particularly interested in generative AI, and 30% of people in the UK say they have not heard of any of the most prominent products, including ChatGPT,” the report’s lead author said.
480 million: Palantir won a $480 million deal with the US Army for a computer vision project. The Peter Thiel-founded company already works extensively with the military and has worked with allied militaries, including Ukraine’s in the war against Russia.
47.5 billion: In the face of stringent US export controls that limit China’s ability to gain access to important semiconductors, the Chinese government announced its third chip fund after similar investments in 2014 and 2019. This fund is a $47.5 billion investment into chip companies, aimed at getting a stronger foothold on the chips necessary for training and running AI models.
Use AI and data to predict and prevent crises - Melinda Bohannon
Data-driven humanitarian efforts are revolutionizing crisis response, says Melinda Bohannon, a prominent expert in international development. She highlights the significance of using data for better targeting and foreseeing global issues, , speaking in a Global Stage livestream event at UN headquarters in New York on September 22, on the sidelines of the UN General Assembly.
Bohannon notes, "In conflict and crises, we've used AI-driven models to track media and conflict events and human rights abuses and understand where conflicts are likely to break out. So we have that element of predictability in our policy and our program responses," underscoring the power of data to predict and preempt crises, enhancing humanitarian efforts significantly.
The discussion was moderated by Nicholas Thompson of The Atlantic and was held by GZERO Media in collaboration with the United Nations, the Complex Risk Analytics Fund, and the Early Warnings for All initiative.
Watch the full Global Stage conversation: Can data and AI save lives and make the world safer?
- Use new data to fight climate change & other challenges: UN tech envoy ›
- How AI can be used in public policy: Anne Witkowsky ›
- Scared of rogue AI? Keep humans in the loop, says Microsoft's Natasha Crampton ›
- AI plus existing technology: A recipe for tackling global crisis ›
- Can data and AI save lives and make the world safer? ›