AI trends for marketers in 2025 and how to apply them

Artificial intelligence is shifting from an optional tool to a core part of modern marketing. In early 2025, HubSpot surveyed more than 1,500 marketers worldwide and found that 66% already use AI in their role, with adoption in the US climbing to 74%. Yet adoption is uneven. While some teams build AI into their strategy and workflows, others are still stuck at surface-level experimentation.

This uneven landscape creates a simple question: how can marketing leaders move from experimenting with AI to truly integrating it? In this blog, we highlight the AI trends for marketers in 2025 and provide a practical checklist to evaluate your organization’s AI maturity.

The goal is to give you more than a snapshot of trends. It is about understanding where your team stands today, what challenges to expect, and which next steps will actually create measurable impact.

From experimentation to integration

The past year marked a turning point in how marketing teams approach AI. What started as small experiments with chatbots or text generation is now evolving into strategic integration. AI tools no longer sit on the sidelines; they are becoming part of the marketing infrastructure itself.

HubSpot notes that in 2025, AI tools gained the ability to access the web and interact with other software, unlocking new opportunities for custom agents and automated workflows. This development signals a structural change in how marketing teams organize their work.

Shopify’s leadership even encourages employees to ask one fundamental question before requesting more resources: “Can AI accomplish what you want?” By treating AI as a first principle, companies set the tone for thoughtful integration rather than piecemeal adoption.

Teams that move beyond experimentation gain a competitive advantage, building systems where AI is embedded in decision-making, personalization, and measurement. And while the potential is clear, the reality is more complex, AI adoption is widespread, but its application remains inconsistent across organizations.

State of AI adoption in marketing

AI adoption has become widespread, but maturity levels vary significantly. According to HubSpot’s 2025 AI Trends report, 66% of marketers worldwide use AI in their role, with adoption even higher in the United States at 74%. The rise is largely driven by AI embedded directly into tools marketers already rely on, from Google Gemini to Zoom AI Companion, which lowered the barrier for everyday use. In fact, 89% of AI users said these built-in features increased their overall AI adoption.

Yet adoption does not mean full integration. HubSpot highlights a striking gap: while 98% of organizations plan to maintain or increase AI investments in 2025, only 51% of employees feel eager to use AI tools in their role. This disconnect reflects the difference between organizational ambition and the reality of team-level readiness.

External research reinforces this finding. McKinsey reports that 71% of consumers expect personalization, yet many companies still lack the AI infrastructure to deliver it at scale. The result is a landscape where enthusiasm for AI outpaces execution, leaving marketers caught between opportunity and operational barriers.

This adoption-implementation gap is not just a temporary hurdle. It defines whether AI will remain a set of siloed experiments or evolve into the foundation of modern marketing systems. To close the gap, marketers must address the underlying challenges that slow down integration, from data privacy concerns to training and change management.

Key challenges and opportunities

Even as adoption rates rise, many organizations struggle to integrate AI effectively. HubSpot’s 2025 AI Trends report highlights the most common barriers: 41% cite data privacy concerns, 39% point to training and time investment, and 34% struggle with integration into existing systems. Resistance to change within the organization (27%) and role security concerns (26%) also add to the friction.

These numbers show that technical readiness is only part of the equation. Building AI-powered marketing requires not just tools, but education, governance, and cultural change. Teams that invest in structured learning and clear policies are more likely to see measurable results.

Practical examples reinforce this. Aerotech, a precision manufacturer, embedded HubSpot Breeze Copilot into its sales workflows. The result: saving 18 hours per week and closing deals 50% faster. Similarly, Sandler, a global training firm, used AI within HubSpot Sales Hub to hyper-personalize campaigns, leading to a fourfold increase in qualified leads and a 50% shorter sales cycle.

These cases illustrate the opportunity: AI is most effective when paired with a clear strategy and structured enablement. Companies that combine the right technology with training and governance not only overcome adoption barriers but also create measurable business impact.

As we move forward, the question becomes less about whether marketers will use AI, and more about how they apply it across workflows. To see where AI is creating the most value today, we need to look at the practical use cases driving adoption.

Where marketers use AI today

The most visible impact of AI in marketing lies in everyday tasks. According to HubSpot’s 2025 AI Trends report, 55% of marketers use AI for text-based content creation, making it the most common use case. But very few rely on raw AI outputs: 56% significantly revise or rewrite generated text, while 38% make minor edits. This underlines that AI complements human creativity rather than replacing it.

Beyond text, adoption spans the entire marketing workflow:

• Research and data analysis: 47% use AI for market insights, summarizing articles, or datasets.
• Content repurposing: 38% adapt material into new formats or translate into other languages. With HubSpot Content Remix, a single piece of content can be transformed into email copy, social posts, or video scripts in seconds.
• Conversational marketing: 41% use chatbots, DMs, and automated email flows. Tools like HubSpot Breeze Copilot embed generative AI directly into CRM data, enabling teams to automate personalized outreach at scale.
• Media creation: 38% for videos, images, and audio.
• Internal productivity: 26% for meeting summaries, notes, and internal comms.

Personalization also emerges as a major use case. HubSpot’s Demand Generation team built an AI tool to tailor email nurturing campaigns at the individual level, achieving 82% higher conversion rates and 50% more click-throughs. This demonstrates the potential when AI is embedded not just in content creation but in customer journey orchestration.

As AI extends into these functions, the question for marketing leaders becomes: how mature is your team’s adoption? The answer lies in understanding the AI maturity model.

AI maturity model and self-assessment

Not all marketing teams use AI at the same level of depth. HubSpot introduces an AI marketing maturity model that illustrates how organizations evolve from experimentation to transformation. Understanding your position in this framework is critical for setting realistic goals and scaling adoption.

The five stages of AI maturity:

1. Experimenting:Individual marketers test tools on their own. AI is mainly used for basic content creation with little measurement.
2. Adopting: Teams start using approved AI tools for specific tasks. Some training exists, and results are measured at a basic level.
3. Integrating: AI is connected to marketing goals and existing systems. Training is consistent, and impact is measured regularly.
4. Advancing: AI becomes central to strategy with governance in place. Teams run advanced training programs and deeper integrations.
5. Transforming: AI is treated as infrastructure. The organization builds custom solutions, achieves fluency across departments, and creates new business opportunities.

To help teams identify their position, HubSpot provides a self-assessment framework. Below is a simplified version you can apply internally:

AI self-assessment checklist

• Do you use AI daily as part of your workflows?
• Is there a formal AI policy with clear rules and training?
• Do you measure the ROI of AI initiatives with defined KPIs?
• Are you using AI beyond content creation (e.g., automation, personalization, reporting)?
• Does your leadership treat AI as part of strategy, not just a tool?

Scoring:

• If most answers are no, your team is at the Experimenting/Adopting stage.
• If answers are mixed, you are in integrating.
• If most answers are yes, you are advancing toward Transforming.

This model provides a roadmap: every team can benchmark where they are and identify what’s needed to reach the next level. But measuring maturity is only part of the equation. To justify further investment, marketing leaders need proof of business value, which brings us to the ROI of AI adoption.

Measuring ROI with AI

Marketers are no longer asking if AI works, the numbers show that it does. According to HubSpot’s 2025 AI Trends report, 75% of marketing teams report a clear return on investment from AI initiatives. The most common impact areas are:

• Increased productivity (64%)
• Time saved across teams (55%)
• Better personalization for customers (39%)
• Enhanced data insights (39%)
• Improved ROI on AI-enabled projects (37%)

One clear example comes from HubSpot’s own team. By consolidating Looker and Ahrefs data into a single sheet and running it through AI for weekly analysis, the marketing team reduced reporting time from 1.5 hours per person to just 20 minutes. This shift turned data analysis into an enabler rather than a bottleneck.

The power of AI also shows in customer-facing campaigns. HubSpot’s Demand Generation team implemented an AI tool to deliver hyper-personalized content recommendations in nurturing campaigns. By analyzing company size, business URL, and content interests, they increased conversion rates by 82% and click-through rates by 50%.

These examples highlight a critical point: ROI is not only about cost savings. It is about reinvesting time and resources into higher-value work, whether that is creative strategy, deeper customer relationships, or faster go-to-market.

As ROI becomes clearer, the conversation shifts from justification to future readiness. The next question for marketing leaders is: where is AI headed, and how can teams prepare?

Predictions for 2025 and beyond

The next phase of AI adoption is about moving beyond isolated use cases into end-to-end automation. HubSpot’s research shows that one in five marketers plans to explore autonomous AI agents capable of running campaigns with minimal human input. These agents combine predictive analytics with real-time personalization, opening the door to fully AI-managed customer journeys.

Another major shift lies in AI-driven search. Nearly one-third of Gen Z already default to chatbots or AI assistants when searching for information online, while 47% of marketers report using AI for research. This change means traditional SEO strategies are no longer enough. Marketers need to optimize not only for Google but also for large language models like ChatGPT, Perplexity, and Gemini that surface brand content directly in AI-generated responses.

At the same time, new roles are emerging inside organizations:

• AI prompt engineers, who specialize in building structured prompt frameworks.
• AI/ML enablement writers, who create resources to drive internal adoption.
• Content writers with AI expertise, capable of blending human creativity with generative outputs.
• AI data trainers, ensuring that machine learning models return relevant and accurate results.

This evolution confirms a broader truth: AI is not just changing the tools marketers use. It is reshaping team structures, workflows, and skill sets. Marketing leaders who invest early in AI literacy and cross-functional collaboration will be better positioned to capture the opportunities ahead.

But predictions mean little without action. To prepare for this future, teams need a structured way to translate trends into practical steps, starting with an actionable checklist.

AI action checklist for marketers

Knowing the trends is one thing. Turning them into action is another. Based on HubSpot’s recommendations, here is a practical checklist your marketing team can apply to evaluate readiness and plan next steps:

1. Audit your current AI usage

• List the tools your team already uses (e.g., ChatGPT, Gemini, HubSpot Breeze Copilot).
• Identify which workflows benefit from AI and which still rely on manual effort.

2. Assess AI maturity

• Use HubSpot’s AI maturity self-assessment to benchmark your organization.
• Determine if you are experimenting, adopting, integrating, advancing, or transforming.

3. Strengthen governance and education

• Create or update your AI usage policy.
• Provide training resources and knowledge-sharing sessions across teams.

4. Focus on ROI measurement

• Define KPIs tied to productivity, personalization, or revenue.
• Track time saved, campaign performance, and conversion uplift.

5. Experiment and scale

• Launch small pilots with clear goals.
• Repurpose content with HubSpot Content Remix.
• Expand successful cases into standardized workflows.

6. Invest in future skills

• Upskill your team in AI prompting, personalization strategies, and data literacy.
• Encourage continuous learning to keep pace with new tools and emerging roles.

This checklist can serve as a starting point for discussions within your marketing team. By regularly revisiting it, you ensure that AI adoption grows from isolated experiments into long-term infrastructure.

Turning insights into action

The message from HubSpot’s 2025 AI Trends report is clear: AI is no longer optional. It is becoming the infrastructure of modern marketing. Teams that treat AI as a core principle, integrating it into workflows, governance, and measurement, will outperform those that remain at the experimentation stage.

The challenge for marketing leaders is not deciding whether to use AI, but deciding how to apply it effectively. With the right strategy, the benefits are tangible: more efficient operations, personalized customer experiences, and measurable ROI.

At Flatline, we translate these trends into practice. As an Official HubSpot Gold Partner, we help brands integrate HubSpot’s AI tools, from Breeze Copilot to Content Remix, into their marketing systems. Our work with clients like myTomorrows, Capital C Amsterdam, and Aurēus shows how structured adoption creates measurable impact.

For brands still mapping out where AI fits before committing to a specific platform, our broader AI consultancy work helps set that strategy first.

If your team is ready to move beyond experimentation, explore how HubSpot’s AI-powered marketing can help you scale with clarity. Get in touch with us to start building your roadmap.

The AI Shake-Up – A Seminar with Google, Shopify, s360 & Flatline Agency

This December, the next edition of Ecom Leaders x Google x s360 x Shopify x Flatline Agency brings together a select community of eCommerce and retail decision-makers for a morning of insight, innovation, and honest conversation.

As AI continues to redefine the digital landscape, we’ll explore how today’s most forward-thinking brands are adapting and where the next wave of opportunity lies.

Expect meaningful discussions, real-world use cases, and a closer look at how AI is reshaping the way we work, shop, and connect.

What to expect

• Today’s AI landscape and use cases
• Google’s AI focus areas for 2026
• The shake-up in Shopping & Search
• Fireside chat with leading brands
• Fireside chat with on how they’re using AI in-house

We’ll start the day with breakfast and networking, followed by keynote presentations and an open discussion designed to inspire, challenge, and connect.

For those shaping the next era of eCommerce.

Join us