Now AI is everywhere in businesses, is anyone actually using it? (www.techradar.com)

Atlassian’s new AI Collaboration Index finds AI has moved rapidly from experiment to everyday work: daily AI use nearly doubled in a year, the share of people calling AI “useless” dropped 78%, and workers report being about one-third more productive—saving roughly 1.4 hours per day. Much of that reclaimed time is reinvested into higher-level work (43% on strategy/planning, 41% on process improvement) or used to improve work‑life balance (49%). Yet these individual gains aren’t translating into big organizational wins: only 3% of companies see transformational efficiency gains, 2% report better work quality, and 4% note innovation improvements. The report flags two major risks and technical implications for AI/ML teams: shadow AI and rising cognitive load. About one in three workers admit to using unapproved tools, creating security exposure and deepening team silos as different groups adopt different models and pipelines. Atlassian recommends building an “AI‑ready” data foundation—making company data accessible and governed—and establishing clear systems, tooling and expectations to standardize usage. It also warns that removing busywork can increase burnout by shifting time toward more cognitively demanding tasks, so organizations should restructure workflows and schedules to capture productivity gains without overloading staff.