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Manila Times Business

AI's Biggest Problem Isn't Chips. It's Electricity. James Altucher Says Elon Musk Just Solved It.

In a new free presentation, the veteran tech investor explains why the future of artificial intelligence may depend on power, not processors, and why he believes Musk found the answer by leaving the planet. Washington, D.C., Sept. 05, 2026 (GLOBE NEWSWIRE) -- The conversation around artificial intelligence tends to focus on chips, models, and breakthroughs. According to top tech investor James Altucher, all of it runs into the same wall first. Electricity. In a newly released free presentation,

Context & Analysis

For a Philippine business owner, the practical lesson is that AI adoption is increasingly an energy decision as much as an IT decision. Generative tools, analytics platforms, and cloud workloads are often sold as software, but their heavy computing happens in data centers that consume large amounts of electricity, especially when many users run models at once. That means companies may face indirect costs through higher cloud pricing, slower performance during peak demand, or limited access to local capacity if the grid cannot support new facilities.

The Philippine context makes this more than a tech debate. The country has been trying to expand clean energy and improve power reliability while managing fuel imports, weather shocks, and aging distribution assets. Data centers are not usually among the first customers in constrained areas, but they can become important as digital services grow. Regulators such as the Department of Energy and the Energy Regulatory Commission will increasingly need to balance renewable-energy targets, rate design, interconnection rules, and land use if AI infrastructure expands. A strong signal would be utilities or private developers securing firm power for cloud hubs, not just announcing server rooms.

Altucher’s space-power argument is useful as a reminder that the constraint may be physical rather than technical. However, for local firms in 2026, orbit-based generation is still far from something they can budget around. The more immediate question is whether Philippine grids can provide stable, competitive electricity to support AI-driven operations, from BPO back offices using copilots to manufacturers deploying predictive maintenance.

Watch three things next: whether cloud providers announce local capacity tied to new power sources; how ERC and DOE treat data centers in energy planning and rate reforms; and whether businesses start choosing vendors partly on the carbon intensity and reliability of the electricity behind their services. The chip race gets headlines, but the electricity race will shape who can use AI affordably and at scale here.

Analysis by IJE Software — original commentary on the story above.

This is an excerpt. Read the full article at the original source:

Source: manilatimes.net

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