Things that make us go hmmm…
Your year, auto-summarized
Nu U Staff | December 2025
December is recap season: reviews, results decks, assessments, and annual summaries. What’s changing isn’t the ritual. It’s the first draft. Increasingly, the first pass at our year-end stories is being written by AI tools. From the tech that tracks our playlists and restaurant visits at home to the ones that mine our calendars, emails, documents, and project systems at work—the story of our year is increasingly a highlight reel of tidy AI-generated recaps and lists.
No question, AI tools that help us summarize our year at work are extremely helpful time-savers. The hmmm… is what can come next. Searchability at scale makes it easy to turn your digital breadcrumbs into a confident story that’s built from partial data but can feel like evidence. In other words, the ready-made recaps start to function like receipts—portable, persuasive, and easy to treat as “the record,” especially when everyone’s busy. That’s already true in everyday work recaps. Tools like Slack's Recap + summaries and Microsoft Teams' Copilot thread summaries are designed to help you catch up without reading everything. Newer AI experiences are aiming to take it a step further: using capabilities like camera-based video understanding, screen sharing, and multimodal memory to help you find, recall, or make sense of (some) things.
One thing worth noting: AI-generated recaps don’t present an unfiltered record; they generate a curated narrative, selecting highlights and framing them through systems that may be optimized for attention or efficiency. And with humans and machines alike, the neat version of events travels farther than the nuanced one, so a snappy summary can easily become the story that sticks.
Whatever tools you use to make the curation process less painful, it’s worth asking a few questions before you hit send on your summaries—year-end or otherwise: If this is the only thing someone reads, what message will they walk away with—and is it one you’d stand behind? What important work, context, or people could be missing or shortchanged by what didn’t leave a digital trail? What would you add (or subtract) if the goal were authenticity and learning over speed and polish? As recaps get easier to generate, it’s worth noticing what they make easier to forget.