The Japan Times - The AI revolution has a power problem

EUR -
AED 4.121845
AFN 72.380179
ALL 91.461825
AMD 404.477538
ANG 2.008512
AOA 1030.187345
ARS 1734.544678
AUD 1.620062
AWG 2.022781
AZN 1.894695
BAM 1.961461
BBD 2.260123
BDT 139.37222
BGN 1.961431
BHD 0.423294
BIF 3378.970171
BMD 1.122209
BND 1.436245
BOB 13.33631
BRL 6.187189
BSD 1.122138
BTN 105.321953
BWP 15.418497
BYN 3.359997
BYR 21995.289057
BZD 2.256913
CAD 1.584587
CDF 2570.979996
CHF 0.919599
CLF 0.027658
CLP 1088.531204
CNY 7.488274
CNH 7.484761
COP 3679.65475
CRC 508.266827
CUC 1.122209
CUP 26.931723
CVE 110.677843
CZK 24.335117
DJF 199.438761
DKK 7.475177
DOP 68.062211
DZD 152.66299
EGP 60.468302
ERN 16.833129
ETB 180.896133
FJD 2.526428
FKP 0.840299
GBP 0.834805
GEL 2.912115
GGP 0.840299
GHS 13.113016
GIP 0.840299
GMD 83.043172
GNF 9945.569235
GTQ 8.574708
GYD 235.247863
HKD 8.800399
HNL 30.383836
HRK 7.596241
HTG 147.084477
HUF 362.122693
IDR 20291.776364
ILS 3.544821
IMP 0.840299
INR 105.089058
IQD 1699.023859
IRR 2134761.219536
ISK 137.313761
JEP 0.840299
JMD 178.26446
JOD 0.795636
JPY 177.220871
KES 145.842481
KGS 98.137042
KHR 4584.222231
KMF 496.015853
KPW 1009.987719
KRW 1504.118278
KWD 0.348816
KYD 0.935191
KZT 503.462963
LAK 25255.305476
LBP 100493.782176
LKR 373.115125
LRD 191.108694
LSL 18.583762
LTL 3.31359
LVL 0.678813
LYD 7.215948
MAD 10.94995
MDL 20.227194
MGA 5156.548602
MKD 61.554925
MMK 2356.028074
MNT 4041.259556
MOP 9.063256
MRU 45.168408
MUR 52.833791
MVR 17.28467
MWK 1949.276163
MXN 20.822022
MYR 4.554818
MZN 71.707157
NAD 18.583439
NGN 1511.614981
NIO 41.084377
NOK 10.542578
NPR 168.515325
NZD 1.992268
OMR 0.431497
PAB 1.122239
PEN 3.863199
PGK 5.040964
PHP 70.789038
PKR 310.459367
PLN 4.38572
PYG 7014.242675
QAR 4.088167
RON 5.343396
RSD 117.659066
RUB 92.582187
RWF 1655.257722
SAR 4.219971
SBD 9.032189
SCR 15.623069
SDG 675.019877
SEK 10.993279
SGD 1.435153
SHP 0.840448
SLE 25.754353
SLL 23532.158705
SOS 641.341166
SRD 42.141205
STD 23227.452815
STN 24.997197
SVC 9.819338
SYP 14590.956193
SZL 18.584279
THB 37.498655
TJS 10.301383
TMT 3.92773
TND 3.350359
TOP 2.702009
TRY 56.31176
TTD 7.610965
TWD 36.778701
TZS 2968.239571
UAH 51.121935
UGX 4595.261644
USD 1.122209
UYU 45.250388
UZS 13466.503672
VES 1005.853999
VND 28633.71418
VUV 133.836923
WST 3.12852
XAF 655.957
XAG 0.021049
XAU 0.000271080273
XCD 3.032825
XCG 2.022437
XDR 0.79346
XOF 655.957
XPF 119.331742
YER 265.542618
ZAR 18.387053
ZMK 10101.226587
ZMW 22.807822
ZWL 361.35072
SSP 6447.349269
MXV 2.340764
  • RYCEF

    0.1000

    19.81

    +0.5%

  • VOD

    -0.2500

    16.33

    -1.53%

  • CMSC

    -0.2800

    20.12

    -1.39%

  • RBGPF

    -2.0000

    65

    -3.08%

  • RIO

    -0.2500

    94.16

    -0.27%

  • BTI

    -1.2000

    54.85

    -2.19%

  • NGG

    -0.3000

    74.94

    -0.4%

  • GSK

    -0.3500

    49.35

    -0.71%

  • BCE

    -0.4200

    20.14

    -2.09%

  • CMSD

    -0.3400

    19.93

    -1.71%

  • BP

    -0.9100

    43.52

    -2.09%

  • RELX

    0.1700

    33.24

    +0.51%

  • BCC

    -0.6200

    75.97

    -0.82%

  • AZN

    -1.9400

    164.21

    -1.18%

  • JRI

    0.0000

    10.77

    0%

The AI revolution has a power problem
The AI revolution has a power problem / Photo: Jason Redmond - AFP/File

The AI revolution has a power problem

In the race for AI dominance, American tech giants have the money and the chips, but their ambitions have hit a new obstacle: electric power.

Text size:

"The biggest issue we are now having is not a compute glut, but it's the power and...the ability to get the builds done fast enough close to power," Microsoft CEO Satya Nadella acknowledged on a recent podcast with OpenAI chief Sam Altman.

"So if you can't do that, you may actually have a bunch of chips sitting in inventory that I can't plug in," Nadella added.

Echoing the 1990s dotcom frenzy to build internet infrastructure, today's tech giants are spending unprecedented sums to construct the silicon backbone of the revolution in artificial intelligence.

Google, Microsoft, AWS (Amazon), and Meta (Facebook) are drawing on their massive cash reserves to spend roughly $400 billion in 2025 and even more in 2026 -- backed for now by enthusiastic investors.

All this cash has helped alleviate one initial bottleneck: acquiring the millions of chips needed for the computing power race, and the tech giants are accelerating their in-house processor production as they seek to chase global leader Nvidia.

These will go into the racks that fill the massive data centers -- which also consume enormous amounts of water for cooling.

Building the massive information warehouses takes an average of two years in the United States; bringing new high-voltage power lines into service takes five to 10 years.

- Energy wall -

The "hyperscalers," as major tech companies are called in Silicon Valley, saw the energy wall coming.

A year ago, Virginia's main utility provider, Dominion Energy, already had a data-center order book of 40 gigawatts -- equivalent to the output of 40 nuclear reactors.

The capacity it must deploy in Virginia, the world's largest cloud computing hub, has since risen to 47 gigawatts, the company announced recently.

Already blamed for inflating household electricity bills, data centers in the United Statescould account for 7 percent to 12 percent of national consumption by 2030, up from 4 percent today, according to various studies.

But some experts say the projections could be overblown.

"Both the utilities and the tech companies have an incentive to embrace the rapid growth forecast for electricity use," Jonathan Koomey, a renowned expert from UC Berkeley, warned in September.

As with the late 1990s internet bubble, "many data centers that are talked about and proposed and in some cases even announced will never get built."

- Emergency coal -

If the projected growth does materialize, it could create a 45-gigawatt shortage by 2028 -- equivalent to the consumption of 33 million American households, according to Morgan Stanley.

Several US utilities have already delayed the closure of coal plants, despite coal being the most climate-polluting energy source.

And natural gas, which powers 40 percent of data centers worldwide, according to the International Energy Agency, is experiencing renewed favor because it can be deployed quickly.

In the US state of Georgia, where data centers are multiplying, one utility has requested authorization to install 10 gigawatts of gas-powered generators.

Some providers, as well as Elon Musk's startup xAI, have rushed to purchase used turbines from abroad to build capability quickly. Even recycling aircraft turbines, an old niche solution, is gaining traction.

"The real existential threat right now is not a degree of climate change. It's the fact that we could lose the AI arms race if we don't have enough power," Interior Secretary Doug Burgum argued in October.

- Nuclear, solar, and space? -

Tech giants are quietly downplaying their climate commitments. Google, for example, promised net-zero carbon emissions by 2030 but removed that pledge from its website in June.

Instead, companies are promoting long-term projects.

Amazon is championing a nuclear revival through Small Modular Reactors (SMRs), an as-yet experimental technology that would be easier to build than conventional reactors.

Google plans to restart a reactor in Iowa in 2029. And the Trump administration announced in late October an $80 billion investment to begin construction on ten conventional reactors by 2030.

Hyperscalers are also investing heavily in solar power and battery storage, particularly in California and Texas.

The Texas grid operator plans to add approximately 100 gigawatts of capacity by 2030 from these technologies alone.

Finally, both Elon Musk, through his Starlink program, and Google have proposed putting chips in orbit in space, powered by solar energy. Google plans to conduct tests in 2027.

M.Ito--JT