LinkedIn’s 5% layoff plan shows that AI-era labor pressure is reaching profitable software platforms too.
What happened: Reuters reports that LinkedIn plans to cut about 5% of staff as it reorganizes teams around growth areas, even while Microsoft filings show accelerating revenue growth at the company.
Why it matters: This is not a simple “AI replaced these workers” story. It is a more realistic signal: companies are using the AI transition to reshape headcount, priorities, and labor expectations even when the underlying business is healthy.
Utah’s approval of a giant AI data-center campus turned compute ambition into a water-and-power backlash story.
The proposed Stratos buildout would require more electricity than Utah currently uses and draw heavily on water in a drought-stressed region, making AI’s physical footprint impossible to keep abstract.
Spain is explicitly framing AI and social-media regulation as a child-safety and democracy issue.
Reuters reports that Spain will keep pushing new AI and platform rules despite lobbying pressure, with officials pointing to cyberbullying, deepfakes, and harms to minors as the reason speed cannot be the only policy value.
Data centers are now using about 6% of electricity in both the UK and the US.
New research cited by the Guardian says data-center energy demand has risen sharply in just two years, with even the industry warning of political backlash.
Utah approved an AI campus larger than Manhattan and residents are furious.
The project’s scale makes AI’s resource demands legible in ordinary civic terms: water, electricity, heat, and what small communities are expected to sacrifice.
Penn’s ApexGO is trying to iteratively improve antibiotic candidates rather than just screen for them.
The platform proposes molecular edits to imperfect peptides and sends the work back toward lab validation, which is where a lot of AI drug-discovery claims still live or die.
AI models built from records and EKGs may help identify sudden-cardiac-arrest risk earlier.
UW Medicine’s study suggests a more grounded clinical-AI use case: surfacing high-risk patients before the emergency, not just documenting it afterward.
Demi Moore says Hollywood should work with AI because fighting it is a losing battle.
That stance neatly captures the current creative-industry compromise: accept AI’s presence, insist it cannot replace the human core of art, and keep arguing over the boundary.
