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Gmail is bringing Gemini to the inbox: What changes, how it works

Yuliia Savchuk Content writer at Stripo

Summarize

ChatGPT Perplexity

The future that once felt distant, almost unrealistic, is already here. An AI assistant that not only sorts emails but also prioritizes them, generates replies, and reshapes how messages are consumed is already integrated into Gmail for those who use it.

But what does this mean for email marketers and businesses that have long relied on email as a direct channel, where performance has traditionally depended on subject lines, preheaders, and how clearly the message comes across in the first screen of the email?

Will Gemini affect how people see, understand, and interact with emails? What should you do about these changes, and is there anything email marketers can do at all? How should you adapt, and what should you expect?

In this article, we’ll break down what’s changing, how it works, and what it means for your future email strategy.

Key takeaways

  1. Gemini in Gmail will summarize emails, highlight key points, generate to-do lists, and draft responses based on incoming messages.
  2. The main risks of AI acting as the first reader of the email include loss of brand voice, misinterpretation of content, data security, and compliance concerns.
  3. Email marketers need to focus more on structure, content scannability, and making their key message obvious within the first paragraphs.

What is Gemini in Gmail?

Google is moving towards turning email from communication channel into an AI-driven experience. People on LinkedIn have joked that Google has essentially “hired an assistant” to manage your Gmail inbox. And while that may sound like a stretch, it’s not far from reality. The main idea behind integrating Gemini is simple: your email is now processed by AI before a human ever sees it.

Here’s what an AI assistant actually does:

  • AI-powered email summarization (AI overviews): Generates concise summaries of individual emails or long threads, helping customers understand the context without reading everything;

  • prioritization (AI inbox): Creates a dynamic task list by identifying important messages, surfacing priorities, and generating action items according to your emails; 
  • smart replies: Drafts personalized responses from incoming messages so the recipient can review, edit, and send them with minimal effort;

  • “Help Me Write”: Drafts full emails based on simple instructions (e.g., “Write a message to a friend suggesting coffee on Saturday after 3 pm”) and adapts to the user’s writing style;

  • AI-powered inbox search: Uses plain language instead of keyword-based search, for example: “Find the contact of the buyer who got me a burgundy coat in fall 2023”;
  • cross-app integration: Pulls context from across Google Drive, Calendar, and Docs to generate more suitable, context-aware responses.

What changes for email subscribers?

Microsoft’s “Work Trend Index Annual Report 2025” reveals that the average employee receives 117 emails per day. If you ignore even some of these messages for a few days, your inbox can quickly get out of control.

Google promises that with Gemini in Gmail, the inbox experience will become more efficient: 

  • faster email processing;
  • less time spent writing emails;
  • more AI-assisted communication;
  • reduced email overload; and
  • simplified daily workflows.

Sounds really cool. But I feel like rewatching some episodes of “Black Mirror.”

What could go wrong for recipients with these changes?

  • Default enablement and limited control
    In the USA, these AI features are enabled by default. People who want the old-style inbox need to go into their settings and disable it. This shifts control from user choice to platform defaults.
  • Privacy and security
    Google says it doesn’t use your emails to train artificial intelligence models directly. But the system still watches how you behave: which messages you open, who you reply to, how quickly you respond, and what you ignore. Even without saving emails, AI learns from your behavior and applies it to how your inbox works.

  • AI decides what matters
    This is no longer just sorting. The system decides what’s important and needs to be prioritized in your inbox, and what’s not. These decisions are based on internal logic, and you can’t really influence them.
  • The cost of mistakes
    Mistakes by AI can cause real problems. A wrongly deprioritized client message, a missed email with an important reminder, or a made-up task can all lead to serious problems.
  • Commercial influence (potential risk) 
    Google makes money from ads. It’s reasonable to expect that, now or in the future, AI-driven features could influence search results, to-do lists, and greater visibility for certain advertisers. Even small shifts in visibility can change how people make decisions.

This means that the fight for attention will become even tougher. Again.

Subscribers will open only those emails that AI marks as useful, or those they genuinely enjoy on a visual or emotional level.

Oleksandr Dieiev,

Email Marketing Specialist at Stripo.

What it means for email marketers

An email is read by AI before (or maybe instead of) a human recipient. So all the mechanics set up for human perception (subject line, personalization, adding images and GIFs to entertain the recipient, etc.) need to be rethought and improved, if not completely overhauled. This fundamentally changes how email content has to be created and optimized.

Traditional metrics are now in question (open rate, CTR, conversion rate, spam complaints, sender reputation), and what can be considered new KPIs is unclear.

AI can get the message wrong. A summary may distort the offer, miss a key detail, or present the wrong deadline. These elements could directly affect campaign results.

AI doesn’t handle storytelling particularly well, so it’s something to keep in mind when writing email copy. If customers associate your brand with certain signs, such as visual identity, tone of voice, or a specific style of communication, this recognition may also suffer from AI-generated summaries.

The main risk is the loss of emotional connection and AI’s limited ability to interpret creativity. AI operates on facts. If your newsletter is built around humor, intrigue, or wordplay, the algorithm may strip it down to a bare-bones summary that misses your tone and intent.

This makes it even more important to focus on clean structure and proper email coding, and tools like Stripo can significantly help.

Oleksandr Dieiev,

Email Marketing Specialist at Stripo.

AI summarization poses risks for emails with precise details:

  • promotional emails with deadlines or pricing;
  • subscription updates or renewals; and
  • requests to update profile details or maintain access to services.

Even small errors in how this information is presented can lead to chaos or legal issues. 

Email deliverability is changing, too. It is now measured not only by whether your message ends up in the inbox or spam folder. An email may technically reach the inbox, but if the AI ​​doesn’t consider it important or relevant, it can become practically invisible to the recipient.

It looks like another game changer for marketers in terms of how email content is created. Previously, email clients relied on trigger words or the text-to-image ratio. Now, with Gemini in Gmail, AI will understand the email’s context.

From what I’ve seen and researched so far, recipient interaction is likely to become a key signal for inbox placement, for example, whether people rely on AI summaries of your emails, or whether they click on the links in the email after reading those summaries.

Deliverability will depend on the actual value your campaigns provide, rather than on technical tricks or optimization tactics that worked in the past.

Oleksandr Dieiev,

Email Marketing Specialist at Stripo.

Online commentators have expressed concerns that messages that sound more like humans may get more attention than polished corporate copy, and brands will need to pay for visibility.

Data security raises even more unanswered questions when AI is given access to inboxes. Will the system catch phishing or spoofing emails? How will it work alongside spam filters? Can AI be manipulated?

For example, hidden text (white font or zero-pixel elements) could influence how AI summarizes an email, potentially surfacing harmful content.

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AI evaluates emails differently. It looks for clarity, structure, and intent, not just visual appeal or emotional triggers.

So what now? Are we going back to the most ordinary, plain-text emails, without any images or interactive elements, without creativity, and all the tools that we have been creating for years?

Not really. Design isn’t going anywhere. Email marketing isn’t becoming simpler; it’s becoming dual-layered.

Opportunities: How to adapt your email strategy

What can marketers do to adapt their email strategies to these changes?

  • Optimize for AI summarization 

Follow these general principles: use an easy-to-follow layout, clear headings, and bullet points to help the model understand what matters and provide accurate summaries.

The call to action should also be direct and specific. A button like “Click here to claim 20% off” will work better than “Don’t miss this!”

  • Stick to the rule of “one email, one goal” 

Your email should be easy for AI to scan and interpret. 

The purpose of your email and its value need to be obvious. Avoid overly creative phrases.

  • Use a modular email design

When your message is easy to follow, AI is more likely to get it right.

  • Structure content clearly

Well, you get the idea: anything that will help AI quickly understand the value of your email and interpret it correctly to the recipient.

The main message and the action you expect from the reader should be obvious from the first few paragraphs, so don’t drag it out with long introductions and elaborate phrasing.

Use short paragraphs instead of a canvas of text. Avoid or minimize image-only emails, because AI processes text much better than visuals.

Make sure to use alt text for images, GIFs, and other visuals. Well-written alt text can save your email if key information is placed inside an image, since AI reads alt text much better than text embedded in images.

In the article “Stripo’s AI Assistant vs. manual email creation,” we compared writing emails manually with using the AI Assistant. You can test both approaches yourself and see whether there is a difference in performance, especially in relation to Gmail inboxes.

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  • Test emails in different scenarios 

Test how your messages appear across different situations, including AI-generated summaries and previews.

The future is already here; now we write not only for people, but for machines as well.

The ideal structure and scannability of content are now coming to the forefront. Correct semantic HTML and accessibility have become critically important. Elements like heading tags, lists, and alt text help correctly interpret the hierarchy and meaning of your content. This is what we constantly emphasize in the Stripo blog.

AI leaves much less room for error; you have to get things right from the start. Creativity still matters, but it must work together with context. Less abstraction, more clarity.

Oleksandr Dieiev,

Email Marketing Specialist at Stripo.

While the above tactics are important, long-term performance will depend on deeper fundamentals:

1. Maintain a strong sender reputation and authentication

This means that all the necessary authentication protocols for your emails, including SPF, DKIM, and DMARC, are configured properly. Provide clear sender information and accurate company details (sending domain and email address). Regularly monitor the status of your domain and IP addresses and take immediate corrective action if any problems are detected.

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2. Segment subscribers by behavior

The more subscribers engage with your emails (open, click, reply, and interact), the stronger your sender profile becomes in the eyes of AI. Consistent engagement over time makes it more likely that your emails are prioritized and actually get seen by the recipient.

3. Monitor engagement trends beyond standard metrics

When AI filters emails inside the inbox, off-email actions are more important: purchases, sign-ups, booked demos, and account activity.

These signals reflect real business impact, not just email interaction, and provide a more accurate picture of performance in an AI-driven environment.

As a result, the most reliable engagement indicators will be clicks and real recipient actions outside the inbox, such as website or in-app conversions. The focus changes from ‘whether the email was opened?’ to ‘whether it brought a business result?’

And honestly, I am actually happy about this. Because finally, it brings truly important, business-driven metrics to the forefront when evaluating email performance.

Oleksandr Dieiev,

Email Marketing Specialist at Stripo.

Wrapping up

The changes that Gemini in Gmail will bring to the inbox environment and email marketing are mixed. But it’s too early to say that email marketing is dead. This area will change a lot, but email marketers will still have room to influence those changes. Focus on providing value to customers and measure business results alongside email performance. And keep an eye on issues around data security.

Create valuable emails with Stripo