Even as a massive LNG supply glut promises lower prices, emerging Asian markets lack the physical capacity to absorb it. A severe shortage of regasification terminals, storage, and gas-fired power plants creates a hard ceiling on demand growth, meaning cheap gas alone is not enough to clear the market.
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With over half of new global LNG supply coming from the US, an impending oversupply will force US export facilities to operate at significantly lower utilization rates. This transforms the US from a simple high-growth exporter into a flexible, market-balancing swing producer, a role it was not designed for.
Despite healthy global oil demand, J.P. Morgan maintains a bearish outlook because supply is forecast to expand at three times the rate of demand. This oversupply creates such a large market imbalance that prices must fall to enforce production cuts and rebalance the market.
Contrary to bearish sentiment, oil demand has consistently exceeded expectations. The market's weakness stems from a supply glut, primarily from the Americas, which has outpaced demand growth by more than twofold, leading to a structural surplus and significant inventory builds.
Contrary to expectations, surging power demand from data centers and semiconductor manufacturing in Japan and South Korea is not boosting LNG imports. Instead, national policies are prioritizing renewables and nuclear to meet this new demand, effectively capping growth for natural gas in these key established markets.
Based on its energy (BTU) equivalent, the price of natural gas has historically been about one-sixth the price of a barrel of oil. Currently, it trades at a much steeper discount (around 1/20th), making it arguably the most undervalued commodity in the last 50 years.
While semiconductor access is a critical choke point, the long-term constraint on U.S. AI dominance is energy. Building massive data centers requires vast, stable power, but the U.S. faces supply chain issues for energy hardware and lacks a unified grid. China, in contrast, is strategically building out its energy infrastructure to support its AI ambitions.
The rise of destination-flexible U.S. LNG is fundamentally altering global gas markets. By acting as the marginal supplier and an effective 'global storage hub,' the U.S. reduces Europe's strategic need for high storage levels, leading to structurally lower prices and a new market equilibrium.
Satya Nadella clarifies that the primary constraint on scaling AI compute is not the availability of GPUs, but the lack of power and physical data center infrastructure ("warm shelves") to install them. This highlights a critical, often overlooked dependency in the AI race: energy and real estate development speed.
Most of the world's energy capacity build-out over the next decade was planned using old models, completely omitting the exponential power demands of AI. This creates a looming, unpriced-in bottleneck for AI infrastructure development that will require significant new investment and planning.
Temasek views the energy transition not as a binary switch from brown to green, but as a gradual progression through many intermediate shades. This pragmatic approach justifies investing in transitional fuels like LNG and advanced technologies like nuclear fusion, acknowledging the need for energy security and affordability.
