We created Earth in Action to provide a lens into what's happening on our planet, as it happens. Whether it's something typical, like the current air temperature, or an extreme event like a major dust storm, we wanted to provide an opportunity for people to see them.
Data on legal services usually comes from the consumer index. But the Bureau of Labor Statistics, which has struggled with budget cuts and staff attrition, hasn't been able to collect enough data in recent years to publish the legal services index consistently. It has continued to provide the data to the Bureau of Economic Analysis, but the monthly readings have been volatile.
We are making sure that we have renewable energy powering all of our datacentre footprint. We have 100% renewable power today that is powering all of Azure, and we're very proud to build that base and essentially stimulate renewable energy around the world and in the UK.
I'll be talking about holistic engineering or the practice of factoring in your technical decisions, designs, strategies, all the non-technical factors that are actually forces that influence your organic socio-technical problem space. As much as you can see in this canyon how natural forces have influenced the shape of the earth, so you can see the color. You can see all the different layers.
Completely free and open source (view our licence here). data_object Supports export for integration with frameworks including React, Vue, and Angular. Fully configurable, featuring custom triggers and adjustable text to support multiple language locales. 60 languages supported by default (view the languages here). Includes multiple views, including Map, Line, Chart, Days, Months, and Color Ranges. export_notes Export data to multiple file formats (view the supported types here), with system clipboard setting support.
As water-intensive data centres expand worldwide, their impact on sanitation, inequality and disease is emerging as a serious and under-examined threat. Bubble is probably the word most associated with AI right now, though we are slowly understanding that it is not just an economic time bomb; it also carries significant public health risks. Beyond the release of pollutants, the massive need for clean water by AI data centres can reduce sanitation and exacerbate gastrointestinal illness in nearby communities, placing additional strain on local health infrastructure.
The US is now leading a global surge in new gas power plants being built in large part to satisfy growing energy demand for data centers. And more gas means more planet-heating pollution. Gas-fired power generation in development globally rose by 31 percent in 2025. Almost a quarter of that added capacity is slated for the US, which has surpassed China with the biggest increase of any country.
In 2020, Microsoft President Brad Smith announced that the company would reduce its water consumption and even become "water positive" by 2030. This means that Microsoft would replenish more water than it consumes. At the time, this goal seemed achievable, but the rapid rise of generative AI has completely changed the playing field. The construction of new data centers has accelerated, and with it the need for water for cooling.
