Survey Report

Cupertino, Calif. – September 15, 2026 -- Seventy-nine percent of U.S. adults do not believe physical security in the country's buildings has significantly improved since the September 11 attacks, according to a new YouGov survey commissioned by Alcatraz AI. The poll, described as the first national survey measuring public trust in badge- and credential-based access systems 25 years after 9/11, found 76% of respondents believe office buildings never received security investment comparable to aviation.

Los Angeles – September 15, 2026 -- Youth financial independence in the United States dropped to 34.9% in 2026 from 41.3% a year earlier, according to the second annual Youth Report released by specialty retailer Pacsun and data and analytics firm GlobalData. The share of young people who say they fully rely on their parents rose to 29.1% from 23.8% over the same period.

The report, based on a June 2026 survey of 6,126 people ages 11 to 24 across the U.S., identifies what Pacsun terms the "Drawbridge Generation" -- Gen Z and Gen Alpha consumers who are pulling back from public digital noise toward smaller circles of trusted family and friends.

Influencer trust never exceeds 11% share across any category measured

Family and friends dominate every trust metric tracked, from financial advice to purchase decisions, while influencers top out at an 11% trust share. Only 2% of respondents said they trust AI for fashion advice.

Berlin – September 15, 2026 -- Broken business processes are costing companies an average of $1.55 million each as artificial intelligence initiatives collapse under outdated workflows, according to a new report from Camunda.

Process failures drive 72% of AI project setbacks, study finds

The AI Process Gap report, commissioned by Camunda and conducted by Sapio Research, found that 72% of enterprises have seen AI projects fail due to process-related challenges. Another 72% warn of spiraling costs if they fail to overhaul their processes, while 82% believe AI investments will flop without deep process re-design.

The core issue: 79% of companies say bolting AI onto existing workflows meets less internal resistance than redesigning them from scratch. Yet 82% estimate it will take up to five years to make core processes truly AI-ready, and 61% admit their process re-design efforts cannot keep pace with AI adoption speed.