If there’s one theme uniting this month’s crop of data storytelling writing, it’s the tension—and partnership—between artificial intelligence and human judgment. From SWD’s multi-part AI series to Infogram’s tool roundups and a steady stream of craft fundamentals, the throughline is clear: the tools are changing fast, but the job of making data mean something to people hasn’t gotten any easier to automate. Here’s our take on the highlights.
Using AI without giving up control tackles the practical objection most analysts have had with AI-generated charts: they look nice but you can’t touch them. SWD’s makeover shows editable PowerPoint output changing the calculus—AI becomes a drafting partner rather than a black box, which is the difference between a gimmick and a real workflow upgrade.
In SWD + AI: craft a story, the focus shifts from charts to narrative—using storyboarding and a classic narrative arc to turn scattered ideas into a presentation plan. It’s a useful reminder that AI’s best use case in this space may be structural thinking, not final polish.
Can design be taught? makes a democratizing case: design sense is a set of learnable habits—audience focus, hierarchy, restraint—not an innate gift. Ten lessons in, it’s a solid rebuttal to anyone who thinks good visuals require a “natural eye.”
Same words, different experience is a quieter but valuable piece—two new SWD team members reflecting on how a feedback-rich culture reshaped how they receive critique. Worth reading for any team trying to make feedback loops less painful and more useful.
The nonprofit sector gets its due in Expanding access to data storytelling, which introduces SWD Reach, a discounted path into their flagship workshop for mission-driven organizations. It’s a smart bet that clearer data storytelling multiplies impact well beyond the corporate world.
Infogram’s How Data Visualization Drives Engagement in 2026 reads as a marketing-forward pitch for visuals as an engagement lever, but the underlying point—that retention and comprehension are the real currency—is worth keeping in mind as more content competes for attention.
Their roundup of AI infographic generators is a useful shopping list if you’re evaluating tools, though as with any “best of” list, the real test is whether the output survives contact with a real audience and a real deadline.
On the community side, Data storytelling isn’t only for grown ups highlights Daphne Draws Data’s work bringing graphing to kids and classrooms—a nice reminder that the skill of reading and telling stories with numbers is worth building early, not just retrofitting into careers.
SWD + AI: start with context opens the series properly, framing AI as a thought partner for clarifying audience and stakes before anyone touches a chart. It’s the right starting point—most bad data communication fails at the framing stage, not the design stage.
Meanwhile, Structure your slides is a solid, practical primer on layout patterns that hold up whether a deck is presented live or sent cold—an underrated skill next to all the AI talk.
The #SWDchallenge: human + AI turns the theme into a participatory exercise, inviting the community to experiment publicly with AI collaboration rather than just read about it—arguably the fastest way to build real intuition for where the tools help and where they don’t.
Leave a Reply