The Japan Times - The AI revolution has a power problem

EUR -
AED 4.301156
AFN 72.601323
ALL 95.426204
AMD 431.661594
ANG 2.096607
AOA 1074.966542
ARS 1625.345213
AUD 1.613565
AWG 2.109242
AZN 1.972853
BAM 1.955254
BBD 2.358482
BDT 143.739859
BGN 1.955456
BHD 0.441756
BIF 3484.274768
BMD 1.170988
BND 1.490171
BOB 8.091982
BRL 5.769923
BSD 1.170993
BTN 112.009764
BWP 15.775066
BYN 3.262961
BYR 22951.364632
BZD 2.355123
CAD 1.604617
CDF 2605.448961
CHF 0.916062
CLF 0.026462
CLP 1041.617562
CNY 7.953465
CNH 7.947782
COP 4466.967891
CRC 533.060243
CUC 1.170988
CUP 31.031182
CVE 110.236098
CZK 24.332486
DJF 208.527109
DKK 7.472215
DOP 68.920753
DZD 155.060396
EGP 61.970481
ERN 17.56482
ETB 182.841505
FJD 2.559604
FKP 0.865605
GBP 0.866355
GEL 3.126342
GGP 0.865605
GHS 13.27369
GIP 0.865605
GMD 86.063612
GNF 10274.13086
GTQ 8.933505
GYD 244.987861
HKD 9.169954
HNL 31.140304
HRK 7.533783
HTG 152.932516
HUF 358.060608
IDR 20504.760872
ILS 3.408389
IMP 0.865605
INR 112.020283
IQD 1533.971625
IRR 1536336.244201
ISK 143.610339
JEP 0.865605
JMD 185.192748
JOD 0.830242
JPY 184.836922
KES 151.233361
KGS 102.40256
KHR 4697.808451
KMF 491.814758
KPW 1053.908866
KRW 1745.205967
KWD 0.360968
KYD 0.975857
KZT 549.601825
LAK 25662.710082
LBP 104862.650463
LKR 380.040361
LRD 214.296561
LSL 19.280516
LTL 3.457623
LVL 0.708319
LYD 7.415707
MAD 10.734082
MDL 20.082992
MGA 4862.808128
MKD 61.635947
MMK 2458.236249
MNT 4191.755618
MOP 9.445944
MRU 46.808728
MUR 54.813722
MVR 18.032835
MWK 2030.784913
MXN 20.141777
MYR 4.602567
MZN 74.837549
NAD 19.280516
NGN 1604.991758
NIO 43.087967
NOK 10.746153
NPR 179.222307
NZD 1.973828
OMR 0.450241
PAB 1.171013
PEN 4.014679
PGK 5.1754
PHP 71.957799
PKR 326.205876
PLN 4.249163
PYG 7161.000228
QAR 4.269181
RON 5.209375
RSD 117.376348
RUB 86.037989
RWF 1717.271765
SAR 4.399954
SBD 9.401873
SCR 16.396972
SDG 703.171687
SEK 10.913901
SGD 1.490217
SHP 0.874261
SLE 28.835575
SLL 24555.035151
SOS 669.233114
SRD 43.553759
STD 24237.087207
STN 24.493578
SVC 10.246139
SYP 129.486637
SZL 19.273276
THB 37.925375
TJS 10.966319
TMT 4.098458
TND 3.411347
TOP 2.819458
TRY 53.182322
TTD 7.944917
TWD 36.913636
TZS 3041.817172
UAH 51.493281
UGX 4390.848811
USD 1.170988
UYU 46.517804
UZS 14222.271218
VES 590.509993
VND 30853.191598
VUV 138.151844
WST 3.164874
XAF 655.790666
XAG 0.013229
XAU 0.00025
XCD 3.164654
XCG 2.110393
XDR 0.813801
XOF 655.754275
XPF 119.331742
YER 279.455807
ZAR 19.232893
ZMK 10540.304397
ZMW 22.102488
ZWL 377.057655
  • CMSC

    -0.0400

    23.07

    -0.17%

  • RBGPF

    0.0000

    61

    0%

  • CMSD

    -0.0450

    23.555

    -0.19%

  • NGG

    -0.5100

    86.73

    -0.59%

  • RIO

    2.2800

    111.78

    +2.04%

  • GSK

    -0.0750

    50.825

    -0.15%

  • BTI

    1.5170

    65.157

    +2.33%

  • BCE

    -0.1350

    24.335

    -0.55%

  • RYCEF

    0.1200

    16.2

    +0.74%

  • BP

    -0.4600

    43.94

    -1.05%

  • RELX

    -1.2350

    31.535

    -3.92%

  • JRI

    -0.0250

    13.115

    -0.19%

  • BCC

    -2.2400

    65.69

    -3.41%

  • VOD

    0.4350

    15.53

    +2.8%

  • AZN

    2.0100

    186.55

    +1.08%

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