3 Advocacy Lessons from the McKinsey AI Survey

Advocacy organizations and teams can learn a lot from McKinsey & Company's recently released Global Survey on the State of AI. While their survey focused on corporations, the learnings can easily be adapted to help guide your team’s integration of AI into your advocacy work.

Here are three points that jumped out at me:

✴️ Lesson #1: Using AI is about more than just efficiency.

“Eighty percent of respondents say their companies set efficiency as an objective of their AI initiatives, but the companies seeing the most value from AI often set growth or innovation as additional objectives.”

✴️ Lesson #2: Maximizing AI means being open-minded to changing how you currently do things.

“Redesigning workflows is a key success factor: Half of those AI high performers intend to use AI to transform their businesses, and most are redesigning workflows.”

✴️ Lesson #3: Your organization isn’t that far behind, but it’s time to get started using AI.

“While companies may have rolled out AI tools, most have not yet productized use cases, redesigned workflows around AI and agentic capabilities, or built the platforms/guardrails needed to run them at scale.”

I recently finished talking to nearly 20 advocacy organizations and teams about how they’re using (or not using) AI. If you’re intrigued but unsure how to get started integrating AI into your team’s advocacy work, let's chat.