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Calls to “pace” development at the AI frontier are unlikely to translate into a slowdown in infrastructure spending, according to Sara Araghi, Franklin Templeton Portfolio Manager and Franklin Venture Partner. She argues that even if labs temper some model training, growing inference demand will continue to require enormous amounts of compute. Araghi also discusses why heightened AI safety concerns could boost demand for cybersecurity and why she doesn’t expect the debate to derail funding or anticipated AI IPOs. She joins Ed Ludlow on "Bloomberg Tech."
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