As AI moves along, the issues reporters and commentators are most likely to discuss have changed. For a year or two, there was much talk about where AI would get its data, and if there was even enough to support future releases. Lately, we have heard much more about power, water, and the public’s reaction to data centers being built near where they live.
First, we
have “Data centers rapidly transforming small-town America” (Sumner Park, Fox
Business, December 6th).
The Newton County, Georgia one described here isn’t primarily even for
AI, but “where data for Facebook, Instagram, WhatsApp and Meta’s other
platforms is processed and pushed at record speeds.” Despite “creating hundreds of jobs,
supporting local contractors and generating long-term tax revenue for schools
and public services,” “not everyone is thrilled about it.” A county commissioner called it “all pie in
the sky” with “lucrative promises,” making it “the biggest smoke-and-mirror
thing you’ve ever seen,” especially considering “what happens years from now if
the industry’s footprint shifts and the massive buildings are no longer
needed.” Other concerns from local
people centered around water, electricity, and percussive damage from
construction blasting.
Elsewhere, an
“Arizona city unanimously rejects AI data center after residents’ outcry” (Alex
Nitzberg, Fox Business, December 12th). The place, surprisingly, was Chandler, where
locals gave blessings to other front-line technology in the form of autonomous
vehicles, which I saw in 2019 developing capability on their streets. This time though, its “city council voted
unanimously… against clearing the way for construction of an AI data center,”
and “cheers and applause erupted after the unanimous vote outcome was
announced.” According to a related story
in Fox News, worries about water and energy use were the reasons.
On one of
those factors, we saw “Senators Investigate Role of A.I. Data Centers in Rising
Electricity Costs” (Ivan Penn and Karen Weise, The New York Times,
December 16th). “Three
Democratic senators” sent letters “to Google, Microsoft, Amazon, Meta and three
other companies,” saying that “the energy needs of data centers used for
artificial intelligence were forcing utilities to spend billions of dollars to
upgrade the power grid,” and “tech companies are passing on the costs of
building and operating their data centers to ordinary Americans,” which “has
caused residential electricity bills to skyrocket in nearby communities.” This issue does not seem likely to go away
soon, as the “Data center boom powering AI revolution may drain US grids – and
wallets” (Arabella Bennett, Fox Business, January 13th). Bennett mentioned water, but power prices and
jobs, as “while about 1,500 workers may be needed to build a data center, fewer
than 200 typically stay once operations begin,” were her main contention points.
More on that
other resource came up in “Microsoft Pledged to Save Water. In the A.I. Era, It Expects Water Use to
Soar” (Adam Satariano, Paul Mozur and Karen Weise, The New York Times,
January 27th). At that firm, while
last year’s “internal forecasts… show(ed) the company expected its annual water
needs for roughly 100 data center complexes worldwide to more than triple this
decade to 28 billion liters in 2030,” more recent estimates, using “new
water-saving techniques,” show 18 billion liters instead, though they fail to
“include more than $50 billion in data center deals that the company signed
last year.” Other problems mentioned
here include Amazon’s abandoning of “a planned Arizona complex over water
concerns,” Google’s 2024 withdrawal of “plans for one in Chile,” and, possibly
referring to the Newton County effort above, “residents have also blamed a Meta
data center in Georgia for harming supplies of drinking water.”
Along with
fossil products and conventional nuclear, per Bret Baier in Fox News on
February 2nd, “Artificial Intelligence helps fuel new energy sources.” Chicago’s power provider Commonwealth Edison
has asked for a $15.3 billion “grid update as potential data center projects
total more than 30 gigawatts through 2045.”
Through Commonwealth Fusion Systems, it “is working to add a new form of
nuclear energy to the grid – fusion.”
The piece also mentions geothermal energy as a possibility if current
drilling research is successful.
Accordingly,
the issues of finding both suitable and accepted locations, powering them, and
fulfilling their water needs are no longer, for AI data centers, matters of
straight logistics. This large area will
need plenty of attention this year. If
overall costs get much higher, it may aggravate another growing problem – a
shrinking pool of venture capital. If
there are still enough places to build the capability artificial intelligence
companies need at viable prices, they will get through this growing set of
impediments. If not, their impact could
be severe. We will see.
No comments:
Post a Comment