Google showed how Gmail with Gemini turns months of correspondence into one report in 10 minutes
Gmail is gradually turning from email into a work assistant. In one test, the built-in Gemini used three prompts to compile statuses for five vendors, find…
AI-processed from ZDNet AI; edited by Hamidun News
Google has embedded Gemini into Gmail so deeply that the search bar is now working like a mini-project assistant. In one practical test, instead of hours of manual email sorting, the system produced a vendor summary in 10 minutes, found the right contacts, and prepared follow-ups.
Search became an assistant
The impetus came from a fairly straightforward task: update a large article that required checking which companies had already sent test accounts, who fell behind, and who stopped responding altogether. Usually this means the same tedious process — open contact notes, then pull up old email threads one by one, verify statuses, find logins, promo codes, agreements, and not miss a single detail. For projects with multiple contractors, this kind of routine easily eats up half a day.
This time, the journalist simply inserted a long query into Gmail's search bar and asked the system to look through emails from the past few months, then provide status updates on five vendors. Gmail didn't just return a list of emails — it returned an already compiled summary: who replied, who sent access credentials, where logins are stored, and even which promo codes were mentioned in the correspondence. This is the moment he describes as feeling like "living in the future."
Three queries in a row
The scenario turned out to be interesting not because AI nicely paraphrased a thread, but because it integrated directly into the workflow. After the first response, the journalist didn't manually search for the next piece of information — he continued asking Gmail new questions in plain human language.
- First, Gmail compiled statuses on five vendors, extracted logins, and highlighted who hadn't responded on time.
- Then the journalist asked which contacts he had at a specific company and when was the last communication with each of them.
- After that, Gmail found the most recent email on the topic and prepared a draft follow-up for all relevant recipients.
- The entire cycle — analysis, contact search, and email creation — took about 10 minutes.
The second step is particularly telling. Regular email search can also find messages by domain or last name, but won't immediately compile an answer to the question "who from this company has written to me and when was the last contact." Gmail with Gemini did exactly that, and according to the author, in less than a minute.
The third step sealed the scenario: the system didn't just find the original email — it turned it into an almost ready-made message for a new outreach within the same company.
Where time is saved
The point here isn't the auto-generation of text itself, but the compression of a chain of dozens of small actions. Previously, you had to separately recall company names, filter out marketing emails, open threads, write down statuses in notes, search for new recipients, and only then write the follow-up. Now a significant portion of this workflow is consolidated into one interface and a few queries.
In essence, Gmail is starting to work not as an email archive, but as a layer of operational memory on top of email. But there's an important caveat to the story.
The journalist himself notes that he doesn't plan to hand over all his daily correspondence to AI and still prefers to write regular emails himself. What impressed him was a different use case: projects with lots of parallel email threads, where you need to quickly piece together the picture and not forget anyone. And here's where the limitation lies — the more precise the query and the more context included, the higher the chance of getting a useful result. Human verification still remains mandatory.
"We've gained a new superpower.
The question is whether we can use it wisely and responsibly."
Context matters too. Google announced Gmail's transition into "the Gemini era" on January 8, 2026. At that time, the company demonstrated AI Overviews for summarizing long threads and answering questions about inbox in natural language. According to Google, the ability to ask such questions in Gmail initially launched in the US and was available to Google AI Pro and Ultra subscribers, while some email-writing features were rolled out more broadly.
What this means
The main takeaway is simple: AI in email is ceasing to be a "tool for polite replies" and becoming a tool for managing work context. If Gmail truly can reliably compile statuses, find people, and prepare targeted follow-ups across long email chains, then for managers, editors, salespeople, and partnership teams, this is no longer a cosmetic update but a meaningful time-savings tool — potentially saving hours every week.
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