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AI Boom at a Crossroads: Can Hyperscalers Deliver Real Returns?

The AI infrastructure boom is entering a new phase as hyperscalers shift from massive share buybacks toward debt issuance to help fund the next wave of data-center investment. With AI-related revenue climbing rapidly but infrastructure spending reaching extraordinary levels, investors are increasingly asking whether revenue growth can translate into sustainable operating margins and long-term shareholder returns.

Joining the discussion is Jeff Gitterman, Managing Director at Gitterman Asset Management. Jeff breaks down the growing gap between AI revenue and the enormous capital expenditures required to support the technology boom. He also explains why extended depreciation schedules for rapidly obsolete AI chips could create accounting and profitability concerns, particularly as companies continue replacing hardware at a much faster pace than traditional depreciation assumptions suggest.

The conversation also explores where investors may find opportunities beyond the major hyperscalers. Jeff highlights the “picks and shovels” of the AI buildout, including power, water, infrastructure, resource-constrained materials, and grid infrastructure. As AI data centers continue demanding more electricity, water, and physical resources, these critical infrastructure areas could become increasingly important to investors navigating the next stage of the AI investment cycle.

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