Artificial intelligence is quickly becoming part of the conversation across the aging services landscape, and CCaH organizations are beginning to explore what it might mean for marketing, operations and strategic decision-making. While many teams are still in the early stages of adoption, the pace of innovation is accelerating, making it increasingly important for leaders to understand where AI is headed and how it might support their work.
That was the focus of a recent presentation by Zack Collevechio, Senior Data Scientist at WildFig and Pavone Group, during Varsity’s most recent Age-in-Place Roundtable. Below are a few Fresh Perspectives from his discussion.
THE AI LANDSCAPE IS MOVING FAST – Major technology companies like OpenAI, Anthropic and Google are releasing new AI models at a rapid pace. Many of the most advanced tools available today didn’t exist just a few months ago, which means the capabilities of AI are improving almost continuously.
NOT ALL AI TOOLS ARE THE SAME – Platforms like ChatGPT, Claude and Google’s Gemini each have different strengths. Some models are better for research, others for writing or media generation. Teams may benefit from experimenting with multiple tools rather than relying on a single platform.
AI CAN HANDLE MORE COMPLEX TASKS – While many people still think of AI as a chatbot that writes emails or blog posts, today’s models can analyze large documents, summarize complex information and support more advanced workflows.
CONTEXT, MEMORY AND AGENTS ARE CHANGING THE GAME – New AI capabilities include larger context windows (which allow tools to process far more information), built-in memory that remembers preferences and templates, and “agentic workflows” where AI can complete tasks more independently.
EXPERIMENT, BUT VERIFY – AI is a powerful tool, but it’s not perfect. Hallucinations can still occur, particularly with niche topics, so human review and fact-checking remain essential.
PRIVACY AND DATA PROTECTION MATTER – Free AI tools may use prompts and inputs to train their models, while paid subscriptions often offer stronger privacy controls. Organizations should consider how data is handled when selecting tools.
