Dubai Telegraph - The AI revolution has a power problem

EUR -
AED 4.294567
AFN 74.242338
ALL 95.860889
AMD 433.652521
ANG 2.092694
AOA 1073.305184
ARS 1638.767571
AUD 1.631336
AWG 2.107444
AZN 1.986399
BAM 1.954234
BBD 2.355139
BDT 143.504399
BGN 1.950308
BHD 0.441243
BIF 3478.305015
BMD 1.169178
BND 1.491705
BOB 8.110501
BRL 5.827244
BSD 1.169328
BTN 111.153934
BWP 15.873281
BYN 3.30755
BYR 22915.891865
BZD 2.352215
CAD 1.593064
CDF 2707.816505
CHF 0.916367
CLF 0.027099
CLP 1066.547693
CNY 7.98578
CNH 7.986603
COP 4361.2099
CRC 531.671706
CUC 1.169178
CUP 30.983221
CVE 110.662554
CZK 24.398879
DJF 207.78623
DKK 7.473272
DOP 69.707804
DZD 154.806756
EGP 62.57652
ERN 17.537672
ETB 183.648675
FJD 2.570789
FKP 0.860774
GBP 0.863946
GEL 3.139237
GGP 0.860774
GHS 13.088963
GIP 0.860774
GMD 85.937627
GNF 10262.466446
GTQ 8.937043
GYD 244.653963
HKD 9.158698
HNL 31.13474
HRK 7.534534
HTG 153.036614
HUF 365.157386
IDR 20331.949681
ILS 3.442055
IMP 0.860774
INR 111.375502
IQD 1531.623385
IRR 1537469.275437
ISK 143.353461
JEP 0.860774
JMD 184.222386
JOD 0.828981
JPY 183.784251
KES 151.034235
KGS 102.210142
KHR 4690.742595
KMF 491.637764
KPW 1052.260338
KRW 1727.402304
KWD 0.360142
KYD 0.974619
KZT 542.475323
LAK 25678.079953
LBP 104525.964223
LKR 373.677382
LRD 214.690352
LSL 19.677233
LTL 3.452279
LVL 0.707224
LYD 7.406735
MAD 10.81141
MDL 20.133867
MGA 4857.935526
MKD 61.637522
MMK 2454.981542
MNT 4181.7709
MOP 9.436139
MRU 46.708364
MUR 54.671139
MVR 18.069677
MWK 2036.126585
MXN 20.462017
MYR 4.621806
MZN 74.721833
NAD 19.677188
NGN 1603.949136
NIO 42.931959
NOK 10.847749
NPR 177.844215
NZD 1.99043
OMR 0.449529
PAB 1.169563
PEN 4.099145
PGK 5.065466
PHP 72.231513
PKR 325.908073
PLN 4.257971
PYG 7270.174526
QAR 4.259337
RON 5.195239
RSD 117.403067
RUB 87.677711
RWF 1707.584697
SAR 4.386985
SBD 9.38367
SCR 16.052975
SDG 702.088912
SEK 10.858506
SGD 1.492807
SHP 0.87291
SLE 28.819962
SLL 24517.076868
SOS 668.182785
SRD 43.79273
STD 24199.627276
STN 24.728118
SVC 10.233756
SYP 129.223397
SZL 19.677487
THB 38.233949
TJS 10.947228
TMT 4.097969
TND 3.373663
TOP 2.815101
TRY 52.829897
TTD 7.943635
TWD 37.036091
TZS 3034.017205
UAH 51.532108
UGX 4388.601394
USD 1.169178
UYU 47.102258
UZS 14027.799564
VES 571.661183
VND 30795.56805
VUV 138.873557
WST 3.174539
XAF 655.431813
XAG 0.016083
XAU 0.000259
XCD 3.159762
XCG 2.107911
XDR 0.813315
XOF 652.988275
XPF 119.331742
YER 278.995087
ZAR 19.661833
ZMK 10524.00789
ZMW 21.900452
ZWL 376.474889
  • RBGPF

    0.5000

    63.1

    +0.79%

  • NGG

    -0.9800

    87.5

    -1.12%

  • CMSC

    -0.0100

    22.87

    -0.04%

  • RIO

    -1.9500

    98.63

    -1.98%

  • BCC

    -3.8000

    74.33

    -5.11%

  • BCE

    -0.0300

    23.93

    -0.13%

  • RYCEF

    -0.3000

    16

    -1.88%

  • GSK

    -0.7100

    50.9

    -1.39%

  • CMSD

    -0.0300

    23.25

    -0.13%

  • JRI

    -0.0500

    12.93

    -0.39%

  • RELX

    0.0100

    36.36

    +0.03%

  • BTI

    -0.3600

    58.35

    -0.62%

  • BP

    0.5300

    46.94

    +1.13%

  • AZN

    -1.2800

    183.46

    -0.7%

  • VOD

    -0.1000

    16.05

    -0.62%

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