Key Trends AI in Marketing and Communications

The Current State of AI Adoption in Marketing

Despite widespread discussion about AI revolutionizing marketing, the reality is more nuanced. As Marklein points out, “depending on what survey you look at, you’ll hear AI is changing everything in marketing communications and others where people will say they’re not using it really at all.” The truth lies somewhere in between—many organizations are still testing rather than fully integrating AI into their workflows. While AI tools have become increasingly accessible, many marketing departments are in an experimental phase, selectively applying AI to specific tasks rather than implementing comprehensive AI strategies.

Three Key Areas Where AI Is Gaining Traction

According to Marklein, marketing teams are finding value in areas such as search alternatives, pattern analysis and writing assistance. This assessment aligns with Lopez Research’s industry observations.

It’s clear that LLMs have become a powerful alternative to traditional search engines, enabling business professionals to quickly gather information about trends, topics, and industry developments. Tools like Perplexity and others are enabling marketers to ask conversational questions and receive synthesized answers instead of sifting through pages of search results. Of course, marketers must still place a critical eye on search findings and review the source links.

One of AI’s strongest applications is identifying patterns across large datasets. Marketing teams are using AI to analyze audience behaviors, summarize interviews, extract themes from reports, and understand what industry analysts, journalists, and customers are saying. Identifying patterns supports market research and content planning efforts but also provides the opportunity to boost top line revenue by discovering trends that lead to new product offerings.

AI excels at helping transform content from one format to another—such as simplifying technical content, converting long-form content into shorter pieces, and adapting messaging for different channels. Leading marketing teams will leverage AI to scale their content production while maintaining consistency and brand voice.

How do you differentiate in an AI Era?

Perhaps the most crucial insight from industry leaders is where AI falls short: generating original thinking and authentic brand positioning. As Marklein emphasizes, “There’s going to be a premium on original thinking,” particularly in the B2B context where customers seek a company’s unique perspective based on their expertise and frontline experience.

While everyone is talking about reasoning models and AI becoming more human-like, it’s important to note that today’s AI can and should augment human creativity rather than replace it. The most effective marketing strategies will leverage AI for efficiency while preserving human ingenuity for differentiation. Personally, I’m pleased and relieved to hear other individuals discuss that there’s still room for humans in content creation.

AI and Workflow Integration: The Key to Value

A recurring theme in both the podcast and recent industry developments is the importance of integrating AI into existing workflows. Standalone AI tools provide limited value; the real potential emerges when AI is embedded within the tools marketers already use daily.

However, as Marklein notes, this creates a new challenge: “The AI tools that we would like to use aren’t the ones that are necessarily integrated into the workflow.” Organizations are still navigating this disconnect, often using different AI tools for different use cases while waiting for more seamless integration solutions.

Metrics and Measurement: Evolution, Not Revolution

When it comes to metrics, AI isn’t necessarily changing what marketing teams measure, but rather how they measure it. Traditional marketing objectives and KPIs remain relevant—what’s changing is the ability to analyze data more efficiently and extract insights more effectively.

As Marklein explains, AI probably won’t “tell you anything new about how you should measure brand growth, equity, and value,” but it can help marketers track and instrument these measurements more effectively, especially when connected to existing data streams.

Navigating Authenticity and Ethics

Trust remains a significant concern in AI adoption. During the podcast, Marklein highlighted research showing that while disclosure about AI use is often recommended, “80% of people don’t trust AI. So disclosing that you’re using AI actually makes people trust it less in the short term”.

To develop trusted AI, organizations needed to take both a broader and more nuanced approach that focuses on emphasizing appropriate use of AI rather than just responsible use. Additionally, organizations must be transparent about who is using AI and why they’re using it. AI governance needs to be part of the marketing strategy at the outset.

As AI capabilities continue to evolve, the organizations that thrive will be those that strategically balance automation with authentic human insight, using technology to amplify their unique voice rather than replace it.

You can review Big Valley Marketing’s research on AI disclosure and transparency here. If you found this article useful, please share it on your social channels and subscribe to my channels. Subscribe to my YouTube channel here: https://www.youtube.com/@AIwithMaribelLopez and my podcast here: https://bit.ly/3R0Etal.