The Best AI for Making Presentations in 2026
Our presentations guide is live, and this thread starts with a eulogy. Tome, the early darling of AI presentations, the tool every roundup crowned in 2023, exited the market in 2025 and left its users exporting decks in a hurry. We had to write "if you have any decks in Tome, migrate them" into a buying guide, which got us thinking about something bigger than presentations: how do you pick AI tools that will still exist in two years?
Full guide with all eight tools, the stakes matrix, and the full deck workflow is here: <https://whataidoineed.com/best/ai/for/presentations>
**What Tome's exit teaches about AI tool churn.**
The AI tool market is in its high-mortality phase. Categories get invented, a first mover wins the hype cycle, then either the incumbents absorb the feature (Microsoft bolting Copilot into PowerPoint) or a better-capitalised specialist outruns them (Gamma's 70 million users). The early leader frequently ends up neither. Tome will not be the last.
The survival signals we now weight in every guide, presentations included: revenue scale and trajectory (Gamma at $100M ARR is a different bet than a seed-stage tool), a parent company with other reasons to exist (Copilot, Canva, NotebookLM are features of giants, not bets), and a paying enterprise base, because enterprise contracts keep lights on through hype winters.
**The discipline that makes churn survivable: export hygiene.**
Whatever tool you pick, behave as if it could vanish. Keep source material (the brief, the data, the narrative outline) outside the tool, because regenerating a deck from good sources takes minutes while reconstructing sources from a dead tool's export takes days. Export finished decks that matter to PPTX or PDF on completion, not when the shutdown email arrives. And note from our testing: export quality varies wildly, with Gamma decks sometimes breaking in PowerPoint conversion while Copilot never converts at all because it is native. If your organisation lives on PPTX, that fact alone should drive your choice.
**Two testing nuggets while we are here:**
The 15-to-30-minute rule held across every serious tool: a good first draft still needs that much human editing before it is presentation-ready. Any tool or influencer promising press-button-get-finished-deck is selling the demo, not the workflow.
And the stakes inversion surprised us in hindsight but should not have: the higher the stakes of the presentation, the smaller the share of the final deck the AI should own. Gamma's first draft IS the internal stand-up update. For an investor pitch, the AI draft is the starting forty percent and the sixty percent you add is the part the room is actually evaluating.
**For the thread:**
Who else got burned by a dead or pivoted AI tool, in any category? Tome refugees especially welcome, but the graveyard is bigger than presentations. What died, what did you lose, and what would have saved you? Building a community survival checklist because the guides can only point at signals, and the scars are the better teacher.
And the lighter question: what is your honest editing time on an AI-generated deck these days? Our 15-30 minutes was on a clean 10-slide business deck. Curious whether the heavy data and heavy branding crowds are seeing something very different.