Dubai Telegraph - The AI revolution has a power problem

EUR -
AED 4.218957
AFN 74.661225
ALL 91.582971
AMD 417.457719
ANG 2.056463
AOA 1054.440663
ARS 1743.614232
AUD 1.610725
AWG 2.06753
AZN 1.957227
BAM 1.958584
BBD 2.314189
BDT 141.100567
BGN 1.933647
BHD 0.43308
BIF 3445.883141
BMD 1.148628
BND 1.468274
BOB 11.289342
BRL 5.906291
BSD 1.149053
BTN 110.098541
BWP 15.582625
BYN 3.475741
BYR 22513.103189
BZD 2.310945
CAD 1.607792
CDF 2654.479062
CHF 0.944284
CLF 0.027911
CLP 1102.062801
CNY 7.693107
CNH 7.700293
COP 3657.609688
CRC 514.039631
CUC 1.148628
CUP 30.438634
CVE 110.55587
CZK 24.347696
DJF 204.134569
DKK 7.475389
DOP 67.81758
DZD 153.643935
EGP 60.011386
ERN 17.229416
ETB 187.686889
FJD 2.545249
FKP 0.860671
GBP 0.857505
GEL 2.990867
GGP 0.860671
GHS 13.237162
GIP 0.860671
GMD 84.42856
GNF 10101.666796
GTQ 8.768617
GYD 240.39904
HKD 9.011042
HNL 30.845651
HRK 7.534658
HTG 150.176082
HUF 364.287725
IDR 20459.4717
ILS 3.487958
IMP 0.860671
INR 110.252582
IQD 1505.265866
IRR 1578903.655694
ISK 139.202636
JEP 0.860671
JMD 181.437904
JOD 0.814422
JPY 180.197158
KES 148.759217
KGS 100.447935
KHR 4656.761237
KMF 491.613064
KPW 1033.765308
KRW 1592.044397
KWD 0.353962
KYD 0.95759
KZT 513.710212
LAK 25757.976881
LBP 102859.612165
LKR 380.330553
LRD 198.788625
LSL 18.680779
LTL 3.391599
LVL 0.694794
LYD 7.294223
MAD 10.886907
MDL 20.194321
MGA 4981.210628
MKD 61.619198
MMK 2411.765202
MNT 4134.326493
MOP 9.2846
MRU 46.225512
MUR 54.640655
MVR 17.746733
MWK 1992.492937
MXN 19.78965
MYR 4.690656
MZN 73.40923
NAD 18.680942
NGN 1529.662418
NIO 42.280099
NOK 10.809019
NPR 176.162473
NZD 2.008793
OMR 0.442789
PAB 1.149063
PEN 3.877412
PGK 5.114426
PHP 72.2606
PKR 318.484727
PLN 4.363465
PYG 6811.860614
QAR 4.19998
RON 5.263476
RSD 117.119869
RUB 96.935341
RWF 1687.950767
SAR 4.280492
SBD 9.18961
SCR 16.157873
SDG 690.903792
SEK 11.290555
SGD 1.465768
SHP 0.858627
SLE 28.314099
SLL 24086.139517
SOS 656.64482
SRD 43.585257
STD 23774.274604
STN 24.535303
SVC 10.054598
SYP 14934.457826
SZL 18.674871
THB 38.295672
TJS 10.59989
TMT 4.031683
TND 3.380004
TOP 2.76562
TRY 56.015171
TTD 7.800223
TWD 36.503811
TZS 3043.85889
UAH 51.337638
UGX 4532.442628
USD 1.148628
UYU 46.207089
UZS 13604.57507
VES 973.444877
VND 29889.590367
VUV 135.872884
WST 3.164265
XAF 655.957
XAG 0.01734
XAU 0.000262
XCD 3.104224
XCG 2.070844
XDR 0.812139
XOF 655.957
XPF 119.331742
YER 271.708303
ZAR 18.687948
ZMK 10339.031894
ZMW 22.584693
ZWL 369.857655
SSP 6505.853316
MXV 2.243593
  • RBGPF

    -1.6900

    68.3

    -2.47%

  • RYCEF

    0.7100

    20

    +3.55%

  • CMSC

    0.0400

    20.71

    +0.19%

  • RIO

    -0.6700

    97.37

    -0.69%

  • GSK

    -0.8400

    50.22

    -1.67%

  • BTI

    -0.1900

    55.83

    -0.34%

  • AZN

    -0.0600

    166.08

    -0.04%

  • NGG

    -0.8000

    76.8

    -1.04%

  • BCE

    -0.2200

    22.06

    -1%

  • BCC

    0.1600

    75.69

    +0.21%

  • VOD

    -0.5700

    16.95

    -3.36%

  • RELX

    -0.9700

    33.41

    -2.9%

  • BP

    -0.8400

    44.58

    -1.88%

  • CMSD

    0.0000

    20.45

    0%

  • JRI

    -0.0600

    11.55

    -0.52%

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.

G.Mukherjee--DT