Companies with huge datasets can save up to 80% in AI costs by using open-weight models: Hims CEO
Companies with huge datasets can save up to 80% in AI costs by using open-weight models: Hims CEO
Last updated: 2026-08-24 17:46:10 ET
Pulse AI Brief
Updated Aug 24, 2026 5:02 PM ET
Texas Governor Greg Abbott, previously a data center booster, stated that companies building AI infrastructure complexes have "dug their own grave" with public opinion. The reversal reflects growing community opposition to energy consumption, water usage, and land use impacts of hyperscale data centers.
Data center developers face regulatory headwinds in Texas, potentially shifting new capacity to alternative states. Companies with announced Texas projects face permitting delays and community resistance, increasing development costs and timelines. CoreWeave, Digital Realty, and other infrastructure providers must diversify geographic exposure.
Public opposition to data center expansion emerges as a material constraint on AI infrastructure scaling. States must balance economic development incentives against environmental and community concerns, creating fragmented regulatory landscape that favors large, well-capitalized developers with political relationships.
Companies with huge datasets can save up to 80% in AI costs by using open-weight models: Hims CEO
Health data appears to be most affected by administration’s attempt to wipe findings that don’t align with its priorities, tracker showsA database...
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