In short
How AI’s rapid growth is driving a major energy build-out in Asia—covering power grids, generation, storage, fuels, and related physical supply chains—and why this is a once-in-a-generation investment cycle.
Guest backgrounds
No guests are mentioned; the host is Mayank Maheshwari (Morgan Stanley), Asia Energy Analyst.
Key claims
AI demand is a new major electricity load; Asia faces grid bottlenecks; energy investment could surge; energy insecurity is local even if energy markets are global.
Notable examples
Data centers could use about one-sixth of new power units by 2030; Asia energy use could rise ~38 exajoules by 2030; grid investment needs could approach ~$1T by 2030; transformer lead times stretched to years; storage could rise from ~500 GWh (2025) to ~3000 GWh (2030).
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Chapters
Tap a time to open that second in VOThe Intersection of AI and Energy Needs
0:24 to 1:40
Discussion on how AI's growth drives significant energy demands in Asia.
“Every time you ask AI to draft a note, summarize a file, plan a trip, or generate an image, the response feels instant and easy.”
Investment Cycle and Infrastructure Challenges
1:40 to 2:38
Exploration of the critical investment cycle needed to support Asia's energy demands.
“That increase is roughly equal to all the energy the Middle East consumes today.”
Renewable Energy and Energy Security
2:38 to 3:35
Analysis of renewable energy's role and the importance of reliable power sources.
“Think of grid as the highway system for electricity.”
The Physical Infrastructure Behind AI
3:35 to 4:19
Discussion on the physical resources required to support AI and energy demands.
“Powering AI also reaches beyond electricity.”
Transcript
Automatic transcript. May contain errors.0:00Welcome to Thoughts on the Market. I am Mayank Maheshwari, Morgan Stanley, Asia Energy Analyst. Today, how AI's rapid growth is forcing Asia into a massive energy build-out across power grids, fuels, storage, and dependable energy and power generation. It's Tuesday, June 9th at 8am in Singapore. Every time you ask AI to draft a note, summarize a file, plan a trip, or generate an image, the response feels instant and easy. But behind it sits a very physical system, data centers, electricity, cooling, fuel, metals, power lines, storage tanks, and ships. There is no AI without energy. And in Asia, the power and energy needs could get much bigger.
0:52And right now, we are at a critical inflection point where energy, AI, and security converge into once-in-a-generation investment cycle. We see a super cycle with$5 trillion plus in new investments in energy over the next five years, almost double of what we have seen in the past decade. And this has global implications as Asia consumes almost half of the world's energy needs. But it produces only a third at home. Energy markets may be global, but energy insecurity is local. It shows up in electricity prices, fuel shortages, factory delays, food supply pressure, and household budgets. By 2030, Asia's energy use could rise by about 38 exajoules.
1:40That increase is roughly equal to all the energy the Middle East consumes today. Power demand alone could reach about 19 trillion units a year when expressed in kilowatt hours. This is around 4 trillion more units of electricity usage than in 2025, driven by data centers, industries, and onshoring of businesses. AI is now part of that demand story. By 2030, data centers could use roughly one-sixth of all new power units in Asia. That makes AI a major new load on the power system. Meeting this demand requires a major investment cycle. Asia's annual energy investment could rise to roughly$1.1 trillion a year over the next five years.
2:26Much of that spending goes into the power system itself. Life, generation, grids, storage, and the equipment needed to connect everything. Grids may be the biggest bottleneck. Think of grid as the highway system for electricity. You can build more power plants, but if the roads clog up, the power does not reach homes, factories, or data centers. Asia's grid investment needs could reach close to about a trillion dollars by 2030. Transformer lead times have stretched to years in some cases, which shows how tight the equipment supply chains have become. The hardest part is keeping the lights on every hour of the day.
3:06Baseload power means electricity that can run around the clock. Asia is adding a large amount of renewable power to its energy infrastructure, but that source depends on when the sun shines or the wind blows. That is why coal, gas and nuclear remain part of the conversation. Storage also moves from useful to essential. Batteries help smooth out renewable power demand when supply rises and falls during the day. Global energy storage installations could rise from about 500 gigawatt hours in 2025 to around 3000 gigawatt hours in 2030. Powering AI also reaches beyond electricity. Data centers need power, but the system around them needs dependable fuels, grids, batteries, metals, refining, storage, and shipping.
3:59Electricity has to be generated, moved, backed up, and supplied through physical infrastructure. That is why this story pulls in copper and aluminum for grids, fuel refining for transport and petrochemical supply chains, and fertilizer because energy security also connects to food security. The future may look digital, but it will be powered by something far more physical, the largest energy build-out Asia has seen in decades. Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or a colleague today.
4:39Mayank Maheshwari:the preceding content is informational only and based on information available when created it is not an offer or solicitation nor is it tax or legal advice it does not consider your financial circumstances and objectives and may not be suitable for you
From the publisher
As AI demand surges, our Asia Energy Analyst Mayank Maheshwari discusses the new multi-trillion-dollar investment cycle to secure the power, fuels, grids and storage that keep modern life running.
Read more insights from Morgan Stanley.
----- Transcript -----
Welcome to Thoughts on the Market. I’m Mayank Maheshwari, Morgan Stanley’s Asia Energy analyst.
Today: how AI’s rapid growth is forcing Asia into a massive energy buildout across power grids, fuels, storage and dependable energy and power generation.
It’s Tuesday, June 9th at 8am in Singapore.
Every time you ask AI to draft a note, summarize a file, plan a trip or generate an image, the response feels instant and easy. But behind it sits a very physical system: data centers, electricity, cooling, fuel, metals, power lines, storage tanks and ships.
There is no AI without energy. And in Asia, the power and energy needs could get much bigger. And right now, we are at a critical inflection point where energy, AI, and security converge into [a] once-in-a-generation investment cycle.
We see a super cycle with $5 trillion plus in new investments in energy over next five years, almost double of what we have seen in the past decade. And this has global implications as Asia consumes almost half of the world's energy needs – but produces only about a third of it at home. Energy markets may be global, but energy insecurity is local. It shows up in electricity prices, fuel shortages, factory delays, food supply pressure and household budgets.
By 2030, Asia’s energy use could rise by about 38 exajoules. That increase is roughly equal to all the energy the Middle East consumes today. Power demand alone could reach about 19 trillion units a year when expressed in kilowatt-hours. That is around four trillion more units of electricity usage than in 2025, driven by data centers, industry, and onshoring of businesses.
AI is now part of that demand story. By 2030, data centers could use roughly one-sixth of all new power units in Asia. That makes AI a major new load on the power system.
Meeting this demand requires a major investment cycle. Asia’s annual energy investment could rise to roughly US$1.1 trillion a year over the next five years. Much of that spending goes into the power system itself: generation, grids, storage and the equipment needed to connect everything.
Grids may be the biggest bottleneck. Think of [the] grid as the highway system for electricity. You can build more power plants, but if the roads clog up, the power does not reach homes, factories or data centers. Asia’s grid investment needs could reach close to about US$1 trillion by 2030. Transformer lead times have stretched to years in some cases, which shows how tight the equipment supply chain has become.
The hardest part is keeping the lights on every hour of the day. Baseload power means electricity that can run around the clock. Asia is adding a large amount of renewable power to its energy infrastructure. But that source depends on when the sun shines or the wind blows. That is why coal, gas and nuclear remain part of the conversation.
Storage also moves from useful to essential. Batteries help smooth out renewable power demand when supply rises and falls during the day. Global energy storage installations could rise from about 500 gigawatt hours in 2025 to around 3,000 gigawatt hours in 2030.
Powering AI also reaches beyond electricity. Data centers need power, but the system around them needs dependable fuels, grids, batteries, metals, refining, storage and shipping. Electricity has to be generated, moved, backed up and supplied through physical infrastructure. That is why this story pulls in copper and aluminum for grids, fuel refining for transport and petrochemical supply chains, and fertilizers because energy security also connects to food security.
The future may look digital, but it will be powered by something far more physical: the largest energy buildout Asia has seen in decades.
Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.