Companies worldwide are changing how they support workers as AI agents become common teammates. Deloitte reports 60% of employees now see AI as a coworker, forcing businesses to update their employee value propositions (EVPs). These new EVPs focus on teaching workers to collaborate with machines through better training programs.

In the United States, financial company USAA retrains staff for human-centered skills like creativity and empathy. Their CIO says AI will handle technical work while humans focus on areas machines can't master. Spanish energy firm Repsol uses AI agents that analyze data, then ask workers to add real-world context before making decisions.

Agentic AI – systems that work independently – is creating new work patterns. Companies are moving from keeping humans 'in the loop' (checking AI work) to 'on the loop' (being consulted like mentors). A study found workers using AI properly improve performance by 40%, but overusing it causes 19% quality drops.

Workers need dual skills: understanding AI limits and strong emotional intelligence. 57% of leaders say employees must learn 'machine thinking' to avoid mistakes. At British Telecom, AI chatbots handle customer service, but workers still manage complex cases needing human warmth.

Young workers adapt faster to AI tools than older colleagues, causing tension. 40% of workers under 30 feel overwhelmed by AI changes versus 29% of older staff. Companies like AMS use AI for 24/7 candidate chats but keep humans for final interviews to maintain personal connections.

Job markets are splitting into AI-friendly and resistant roles. Tech hiring focuses on candidates who can improve AI systems, while healthcare values workers who balance AI scans with patient empathy. The key challenge is helping mid-career workers transition as AI reshapes their industries.