19 Terawatts: Humanity's Energy BalanceArtificially generated
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MCG Research · Energy 01 · August 2026

19 Terawatts

That's how much power humanity draws continuously. Every second, all year long. This report breaks down the number: where the energy comes from, how much of it is electricity, what goes into data centers, and what the sun delivers for free at the same moment.

01 · Continuous Power
19.0TW
Average power consumption of humanity, 2025

Energy consumption is almost always reported as an annual quantity, and annual quantities mean nothing to anyone. 600 exajoulesExajoule is the unit in which the world accounts for its annual energy. An exajoule is a quintillion joules. More practical: 1 EJ = 277.78 terawatt-hours, and all of Germany consumes around 12 EJ per year. is not a number you can imagine.

Divide it by the seconds in a year, and it becomes tangible: 19 terawatts of continuous power. Humanity is a machine that permanently runs at 19 trillion watts, or 19,000 billion watts. That's the real metric, and everything else in this report is a fraction of it.

600EJ
Primary energyPrimary energy is everything that goes in at the beginning: the oil extracted, the coal burned, the wind in the rotor. What arrives at the end is less, because every conversion has losses. That's why electricity is only one-fifth of it. 2025
Equivalent to 166,792 TWh. Up 1.7 percent from 2024, another record high.
2,312W
Per person, continuously
The global average. 20,266 kWh per year, across all 8.2 billion.
24
Energy slaves
Your body runs on about 97 watts. The technology around you on 24 times that.
86.3%
Fossil share
518 of the 600 exajoules come from oil, coal, and gas.
The 24 energy slaves are the most honest sentence in this report. Every person on this planet commands, on average, the continuous power of two dozen bodies. Not as a metaphor, as physics. The global average obscures everything: in industrialized countries it's well over a hundred, in large parts of Africa a handful.
02 · Where it comes from

Six sources, and three of them make up 86 percent

Fig. 1 Global primary energy by source, 2025

600.45 exajoules total. The width of each section is its share.

Oil 201 EJ Coal 166 EJ Gas 151 EJ Nuclear 31 EJ · 5.2 % Hydro 16 EJ · 2.7 % Renewables 35.5 EJ · 5.9 %
Oil 33.5 % Coal 27.6 % Gas 25.1 %
Numbers as table
SourceExajoulesTWhShare
Oil201.055,83333.5 %
Coal166.046,11127.6 %
Gas151.041,94425.1 %
Nuclear31.08,6115.2 %
Hydro16.04,4442.7 %
Renewables35.59,8475.9 %
Total600.5166,792100 %
Source: Energy Institute, Statistical Review of World Energy 2026 (75th edition, June 2026). Renewables includes wind, solar, biomass, and geothermal. Hydro and nuclear separate.

The interesting number isn't in the chart, but in the growth. Renewables increased by 3.3 exajoules in 2025, up ten percent, and solar alone provided 71 percent of that increase. For the first time outside a recession, renewables were the largest growth source in total energy supply.

And yet: the fossil block barely moves. 86.3 percent. Both are simultaneously true, and anyone who quotes only one of these two numbers is telling a story instead of a finding.

03 · Electricity is only one fifth

The energy transition everyone talks about is happening in 19 percent of the system

When energy is discussed, it's almost always about electricity. But electricity is only 19.0 percent of global primary energy: around 31,700 TWh out of 166,792 TWh.

The other 81 percent is combustion that never goes through a wire: transportation, industrial process heat, heating, cement and steel furnaces. There the transition is harder, more expensive and slower, and that's where the real work of the next twenty years happens.

Fig. 2 Share of total system

Where electricity stands in relation to primary energy.

Total primary energy
100 %
of which electricity
19.0 %
of which data centers
0.29 %
Base 2025. Data centers as share of primary energy, not of electricity.
Fig. 3 What happened in the electricity market in 2025

Four quantities from the same year, on the same axis. All values in terawatt-hoursOne terawatt-hour is one billion kilowatt-hours. A German household consumes around 3,000 kWh per year, so one TWh supplies about 330,000 households. Not to be confused with terawatt: that's power, the watt-hour is quantity..

Total renewables
10,730
Coal power
10,476
Total solar
2,778
Solar growth alone
+636
Data centers worldwide
485
Numbers as table
QuantityTWhShare of generation
Total renewables10,73033.8 %
Coal power10,47633.0 %
Total solar2,7788.8 %
Solar growth 2025+636+30 % from previous year
Data centers worldwide4851.53 %
Source: Ember, Global Electricity Review 2026 (April 2026), data for 2025. Data centers: IEA, Energy and AI.
In 2025, renewables at 33.8 percent overtook coal power at 33.0 percent. For the first time in about a hundred years. Solar alone covered 75 percent of total demand growth, together with wind it was 99 percent. Fossil electricity generation did not increase but fell minimally, by 38 TWh.
04 · What arrives from above

The sun delivers nine thousand times as much

Around 173,000 terawattsTerawatt is one trillion watts, or 1,000 billion watts. A good light bulb needs 10 watts. 1 TW = 1,000,000,000,000 W of solar power constantly hit the Earth. Humanity draws 19.

9,000 boxesEach represents as much power as all of humanity continuously draws. One box, top leftThat's our share. The rest arrives and leaves again.

The image above is rounded because the exact number doesn't help anyone: the ratio is 1 to just over 9,000. For those who need it precisely: 19.0 to 173,000 terawatts, so 1 to 9,092, or 0.011 percent.

Put another way, and this is the version to remember: what humanity converts in energy over an entire year, the sun delivers in just under an hour.

This number is not an argument for any particular technology. It's a perspective, and one that turns the usual debate on its head.

Humanity's energy problem is not a quantity problem. It's a problem of harvesting, storage, transport and timing. The raw material is there in abundance and arrives every second, whether we take it or not.

Interlude · How big is big

Large numbers are the point where understanding breaks down

Up to about a hundred, everyone can imagine something. After that, numbers become words, and words can be repeated without understanding them.

Particularly tricky is the jump between languages: the English billion is the German Milliarde, not Billion. Anyone who confuses this is off by a factor of a thousand. That's why in this report, every really large number has the translation next to it.

The ladder below is the entire order of magnitude in which this report operates. The highlighted step is the one in which humanity as a whole calculates.

Each step is times a thousand. That sounds harmless and is the reason why three steps further on, imagination fails: from million to trillion is the same distance as from one to million.

10³ · Kilo
1,000
Thousand
A kettle draws 2 kilowatts.
10⁶ · Mega
1 million
Million
A large wind turbine delivers 5 megawatts.
10⁹ · Giga
1 billion
Billion
A nuclear power plant unit produces just over 1 gigawatt.
10¹² · Tera
1 trillion
Trillion (= 1,000 billion)
This is where humanity calculates: 19 terawatts.
10¹⁸ · Exa
1 quintillion
Quintillion
The unit of the annual balance: 600 exajoules.
And the same ladder continues downward. Milli is one thousandth, micro is one millionth, nano is one billionth. A single AI query is around 0.24 watt-hours, or 240 milliwatt-hours. You need about 4,200 of them for one kilowatt-hour, which costs about 35 cents in Germany. From the world's data centers to a single query is fifteen orders of magnitude, and both ends are in this report.
05 · What AI Takes

Data centers are 1.5 percent of global electricity. And that's the wrong question.

485TWh
Data centers 2025
All worldwide, not just AI. Plus 17 percent from previous year.
1.53%
Share of global electricity
Of the total primary energy system, it's 0.29 percent.
55.3GW
Continuous powerContinuous power is annual consumption distributed across every second of the year. It makes quantities comparable that otherwise only exist as annual totals, and shows how much power plant must run permanently.
All computing in the world conceived as one machine.
945TWh
Forecast 2030
Doubling compared to 2024. Nearly 3 percent of global electricity.
Fig. 4 Data center electricity consumption, path and scenarios

Actual values 2024 and 2025, baseline forecast 2030, three scenarios for 2035. The fan from 2030 is not measurement uncertainty, but an open decision.

measured baseline forecast scenarios 2035
2024 (Actual)
415
2025 (Actual)
485
2030 (Base case)
945
2035 · Headwinds
700
2035 · High efficiency
970
2035 · Lift-Off
1,700
Numbers as table
Year and caseTWhShare of global electricity
2024 Actual415around 1.5 %
2025 Actual4851.53 %
2030 Base case945nearly 3 %
2035 Headwinds700under 2 %
2035 High efficiency9702.6 %
2035 Lift-Off1,7004.4 %
Source: IEA, Energy and AI. Values for all data centers, AI is part of it. Accelerator servers growing at 30 percent per year, conventional servers at 9 percent.
The solar increase in a single year is larger than the entire electricity consumption of all data centers in the world.

636 versus 485 terawatt-hours. Solar added more generation in twelve months in 2025 than all data centers in the world consumed in the same year. That's the most honest available benchmark for the question of whether AI will break the power grid.

The answer at the global level is: no. Data centers represent less than ten percent of global electricity demand growth through 2030. Air conditioning, electric vehicles, and general electrification represent far more.

The answer at the local level is: yes, very much so. Around 80 percent of total growth through 2030 occurs in the USA and China. When a single county in Virginia or a province in Guizhou gets the load of an industrialized nation added to it, the reassuring global average doesn't help anyone there. The problem is not the quantity. The problem is the distribution and connection.

On individual queries. Google measured 0.24 watt-hours for the median Gemini text query, OpenAI cites about 0.34 watt-hours for an average ChatGPT query. At 0.24 Wh you need around 4,167 queries for a single kilowatt-hour. These numbers apply to short text queries. Reasoning models, long contexts, image and video generation are one to two orders of magnitude higher. Anyone who cites one of these numbers without specifying what type of query is meant says nothing.
06 · What AI Delivers

The calculation only works if the tool unlocks more energy than it consumes

The consumption side of AI is well measured. The yield side is not, and that's exactly where it's decided whether AI is a cost item or a lever in the energy system.

What is provable today differs sharply from what is announced. Both must be kept separate.

Proven

Plasma control in tokamaks. DeepMind and EPFL have shown that deep reinforcement learning can control the magnetic coils of a fusion reactor so that complex plasma shapes remain stable. Since October 2025, collaboration with Commonwealth Fusion Systems has been running to apply the same method to a reactor intended to deliver grid power.

Materials discovery. Machine learning has expanded the search space for new crystal structures by orders of magnitude. For batteries, catalysts, and solar cells, this is the bottleneck, not manufacturing.

Forecasting. Weather and load forecasting is the most unspectacular and effective application. Wind and solar power whose feed-in is known more accurately hours in advance is simply worth more in trading and requires less reserve capacity in the background.

Announced

Grid-native optimization by the second, autonomous operation of power plants, AI-designed reactor designs. Serious programs, but without reliable yield numbers. We list them here as open items, not as proof.

The benchmark against which this must be measured: Data centers today draw 55 gigawatts of continuous power. If AI-supported forecasting makes global wind and solar feed-in a few percent more usable, that's a three-digit terawatt-hour amount with 10,730 TWh of renewable generation. No one has cleanly worked through this calculation yet. It's the core of the question.
07 · The Level Below

Steel, cement, chemicals: the physics behind the exajoules

Energy is an abstraction. Below it lies a material level, and that's the reason why the 81 percent non-electricity is so persistent.

The Potsdam Institute for Climate Impact Research models precisely this level in REMIND, its Integrated Assessment Model. Since version 3.1, four industrial sectors are individually represented: cement, chemicals, steel, and other industry. For steel, there's a process-based model inside that tracks individual production routes with their costs, energy and material inputs, instead of treating steel as a single number.

For an energy report, this is the crucial resolution: not how many exajoules industry draws, but which physical process draws them and whether it can be electrified.

Fig. 5 Share of industrial final energy

Three sectors that together account for nearly half of industrial energy use.

Steel
23 %
Chemicals
14 %
Cement
7 %
Source: Geospatial Model Development 17, REMIND 3.1.0 (2024). Industry accounts for 26 percent of global CO2 emissions from combustion and processes.
Two numbers from the REMIND baseline scenarios that set the framework for everything else: industrial energy demand reaches its peak only around 2070 at around 273 exajoules per year. And the electricity share in it rises to 28 percent in the baseline variant, but to 45 to 49 percent under climate policy. The difference between these two paths is the actual control lever, not data center construction.

Cement is the hard case. Around 29 percent of direct industrial emissions come from it, and a large part of that arises not from heating, but chemically when burning limestone. You can't eliminate this portion even with one hundred percent renewable electricity. It requires a different process or capture.

08 · What we take from this

Quantity is not the problem

At 1 to 9,092 compared to solar irradiation, available energy is not a hard limit. Harvesting, storage, grid and timing are.

AI is energetically small and locally large

0.29 percent of primary energy globally, but 80 percent of growth in two countries. Anyone talking about AI and energy must specify at which level.

The benefit side is missing from the debate

What AI costs in energy is measured. What it unlocks in energy is claimed. Closing this gap is the most interesting open work.

Electricity is one fifth

The 81 percent combustion outside the electricity grid receives a fraction of the attention it deserves.

This report is the opening. It works at annual resolution because global data availability permits no more. For Germany, the Energy-Charts from Fraunhofer ISE provide resolution at fifteen-minute intervals. The next expansion stage is precisely this narrowing: the global numbers as framework, the high-resolution reality of a grid area as proof, and the question of what a data center actually does within it.
Data basis
  • Energy Institute, Statistical Review of World Energy 2026, 75th edition, June 2026. Primary energy 2025 by source. energyinst.org/statistical-review
  • Ember, Global Electricity Review 2026, April 2026. Global electricity generation 2025, renewable and coal share, solar growth. ember-energy.org
  • IEA, Energy and AI. Electricity consumption of data centers, base case 2030 and scenarios 2035. iea.org/reports/energy-and-ai
  • Potsdam Institute for Climate Impact Research, REMIND 3.1.0, Geoscientific Model Development 17, 2024. Industrial sectors, final energy shares, electrification pathways. gmd.copernicus.org
  • Google Cloud, measuring the energy demand of a Gemini query, August 2025. cloud.google.com
  • Fraunhofer ISE, Energy-Charts. Reference for high-resolution grid data. energy-charts.info

McGrinsey conversions: 1 EJ = 277.78 TWh. Continuous power over 31,557,600 seconds. Per capita values based on 8.23 billion people. Percentage values rounded, totals may deviate by 0.1.