Navigating the future of email marketing: Embracing AI and deliverability challenges

The rise of AI in email marketing

AI technologies are transforming how brands interact with their customers and reshaping how emails are delivered and consumed. They help brands sort through the chaos of data to serve up customer insights on a silver platter.

But it’s not just about personalization; it’s about creating a bespoke experience for each customer. AI can analyze vast amounts of data to understand customer behavior, predict future actions, and tailor messages to individual preferences.

Trend one: AI-driven personalization

Picture this: Instead of sending out a generic email blast that screams “Dear Valued Customer”, AI allows you to craft messages that resonate on a deeply personal level. By analyzing a customer’s browsing history, purchase behavior, and interaction with previous emails, AI can help you send the right message at the right time. This level of personalization can significantly increase engagement rates and drive conversions, taking the already impressive ROI of email to new heights.

Moreover, AI-driven personalization allows for dynamic content adaptation. This means the content of an email can change in real time based on the recipient’s current context, such as location, time of day, or device used. It’s the digital equivalent of a chameleon, adapting to its surroundings to ensure relevance and timeliness—again increasing the likelihood of engagement.

Trend two: AI as an intermediary

As AI becomes more integrated into email platforms, it’s beginning to act as an intermediary between brands and consumers, converting your marketing jargon into something that actually makes sense to the average person. For instance, Google’s Gemini in Gmail uses AI to summarize emails and highlight important messages. This means that marketers must focus on crafting clear, concise, and compelling content that AI systems can easily interpret and prioritize if they want to break through.

This shift requires marketers to think beyond traditional metrics like open rates and clicks, and consider how AI algorithms evaluate and rank their content. After all, the key to impressing any recipient (human or AI) is to understand what they’re looking for and deliver it in abundance.

Emails should not only be technically sound but also contextually relevant, which involves using natural language processing (NLP) techniques to craft messages that are easily digestible by AI systems. Additionally, marketers should focus on creating content that is visually appealing and structured in a way that highlights key information, making it easier for AI to extract and present the most important elements to the user.

Designing emails for AI and human audiences

In this brave new world of technological advancement, emails must appeal to both human readers and AI algorithms—striking a balance between engaging storytelling and algorithmic precision. This split focus ensures brands not only capture the attention of audiences, but also align with the technical requirements of AI systems.

Here are some strategies to help achieve this balance:

1. Clarity and intent: Ensure that your emails clearly communicate their purpose. Use straightforward language and a strong call to action to make it easy for AI to understand the message’s intent. Avoid jargon and overly complex sentences that might confuse AI systems. Instead, focus on delivering a clear and concise message that leaves no room for misinterpretation.
2. Quality over quantity: Focus on sending fewer, more relevant emails. High-quality content that aligns with user behavior and expectations provides stronger signals for AI systems, improving message prioritization. This approach not only enhances deliverability but also fosters a more meaningful connection with your audience. By prioritizing quality over quantity, marketers can build trust and credibility, encouraging recipients to engage more deeply with their content.
3. Engagement signals: Encourage interactions that signal engagement to AI systems. This includes clicks, replies, and other actions that indicate the recipient finds value in the content. These interactions serve as feedback loops that inform AI algorithms about the effectiveness of your messaging strategy. By analyzing these signals, marketers can refine their approach and optimize future campaigns for better results.

The importance of email deliverability

Deliverability is increasingly tied to relevance, and the rise of AI is accelerating that shift. Mailbox providers are getting better at filtering out noise, which means brands can no longer rely on volume to drive results—in fact, sending a higher volume of emails often hurts results more than it helps.

Instead, AI enables marketers to align with evolving deliverability standards by identifying the right audience, optimizing send times, and tailoring content to individual engagement patterns. This leads to healthier sender reputations, stronger inbox placement, and fewer messages being flagged as spam. In this new landscape, deliverability isn’t just a technical hurdle—it’s a direct reflection of how well you understand and respect your audience.

At the same time, mailbox providers themselves are rapidly evolving, becoming far more sophisticated in how they evaluate incoming messages. Algorithms now go well beyond basic spam signals, incorporating engagement data, user behavior, and even inferred intent to decide whether an email reaches the inbox, promotions tab, or gets filtered out entirely.

In addition, features like priority inboxing and automated categorization mean that even “delivered” emails aren’t guaranteed visibility. This puts added pressure on marketers to consistently earn engagement, not just avoid complaints. As these systems continue to advance, the gap will widen between senders who rely on outdated batch-and-blast tactics and those who embrace data-driven, AI-powered strategies designed to work with mailbox provider logic rather than against it.

For more information on how to enhance email deliverability, check out our guide.

Final thoughts

The integration of AI into email marketing presents fresh opportunities for marketers to enhance their strategies and maintain effective communication with their audiences. However, the key lies in balancing the needs of AI systems with the expectations of human recipients, ensuring that every email delivers value and fosters engagement.

Ultimately, the future of email marketing is bright, but it requires a strategic approach that embraces technological advancements and prioritizes deliverability. By staying informed and agile, marketers can navigate this evolving landscape and continue to drive meaningful connections with their customers.

This is an article by EMAS 2026 Gold Sponsor Braze.

Curious how to put this into practice? Visit EMAS 2026 on June 11 at Circa Amsterdam. Be inspired by international speakers and discover how to take your email marketing to the next level. Tickets and programme: emas.nu

Kelly Hogan

Senior Director, Global Email Deliverability and Compliance | Braze

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