McKinsey Insights

McKinsey argues AI agents can automate business planning forecasts and reduce manual execution work.

McKinsey reports banks earned $1.3 trillion in 2025 profits and discusses AI opportunity.

McKinsey advises CFOs to set measurable targets and redesign processes to extract AI value.

Upstream CEO Yoav Levy discusses using AI to reduce automotive warranty and recall costs via early detection.

McKinsey argues AI can help Latin American insurers reach untapped customers and improve efficiency.

McKinsey outlines five strategic moves for technology vendors to reinvent sales channels with AI.

McKinsey discusses redesigning bank risk operating models to scale AI capabilities for risk management.

Slack CMO Ryan Gavin and McKinsey discuss converting AI productivity gains into business growth at Cannes Lions.

McKinsey warns frontier AI accelerates vulnerability discovery by attackers; organizations must rethink software security defenses.

McKinsey proposes using AI to codify CEO tacit knowledge and distribute it across organizations.

McKinsey advises bank CEOs on structuring AI investments for repeatable value capture, not one-off projects.

Waniwani CEO discusses how agentic AI could reshape insurance distribution economics and risk mitigation.

McKinsey argues banks deploying AI in credit recovery need new operating models to maximize outcomes and customer experience.

McKinsey evaluates whether agentic AI in procurement actually delivers cost savings and efficiency gains at scale.

Analysis of 21,000 consumers shows agentic AI shopping adoption is growing; retailers unprepared to meet demand.

Stanford psychologist Jamil Zaki argues AI risks eroding human connection; leaders should pair AI with empathy.

Banks using agentic AI in transaction monitoring can automate compliance tasks and convert cost centers into profit drivers.

McKinsey shares lessons from one year of agentic AI in financial-crime prevention, identifies five scaling questions.

McKinsey CIO guide on deploying agentic AI at scale: governance, architecture, and accountability frameworks.

Tiffany Xingyu Wang on learning when and how much to trust AI without abandoning human judgment.