This blog wasn’t written by AI — but if it was, there’s no way for you to know.
AI is getting eerily good at imitating human creativity and it’s taking over everything from writing personalized content at scale to creating visuals that trigger your emotions.
Take for example HeyGen, an AI video platform where you can choose from 300+ avatars to create videos in 175+ languages. The best part? It can clone you — a digital twin that looks, moves and sounds just like you.
The pace with which marketers are adopting AI, Europol Innovation Lab predicts that by 2026, it will help create 90% of all online content. If you are still denying AI’s role in marketing, you’ll soon be left behind.
In this post, we’ll share what is AI in digital marketing, what are its major use cases, the pros and cons of using AI in digital marketing and best practices.
Want to stay ahead? Explore how Venngage’s AI tools can help you design compelling marketing visuals effortlessly.
What is AI in digital marketing?
AI or artificial intelligence is a technology that mimics human intelligence — that thinks, learns and can make decisions like us. Its ability to parse through vast amounts of data and algorithms gives it a superpower to enable everything from chatbots to self-driving cars.
The feedback loop in AI gives it an edge over all other technologies that humans have invented till now. For instance, machine learning (ML) is a key aspect of AI technology that helps it improve its output by recognizing patterns and making improvements with each iteration.
So what is AI in digital marketing? AI’s application in digital marketing lets you automate tasks, create content and refine campaigns with blazing speed and at a scale that humans can’t match.
AI debuted in the marketing realm in the early 2000s with basic automation like rule-based recommendation engines (think Amazon’s recommendation engine). But its application took off, especially after 2010 when marketers started using the advanced form of AI and ML technologies for personalizing their content and running predictive analytics.
Fast forward to today, AI creates flawless content, facilitates data-driven decisions and digitally clones humans.
How is AI transforming digital marketing?
The renowned designer Donald A. Norman once said that good design is often invisible. And this is increasingly the case with AI’s widespread adoption in almost everything around us.
If you have used Grammarly to proofread your content or Adobe Creative Suite for design, you have already used AI in your digital marketing workflow — perhaps without even realizing it.
AI’s undeniable impact on digital marketing manifests itself in many ways. Here are some statistics to understand AI’s role in the context of digital marketing today:
- 58% of small businesses that use AI to produce content spend less than $1,000 a month.
- Fast-growing companies generate 40% more revenue from AI-powered personalization than slower-growing ones, according to McKinsey.
- 73% of marketers that SurveyMonkey interviewed said that they use AI to create personalized customer experiences.
- Synthesia, a HeyGen competitor, reports that AI tools can save video production time by 62%.
When ChatGPT launched, it reached over 100 million active users by January 2023 to become the fastest-growing consumer app in history. And marketers make up 58% of ChatGPT’s users, who use it mostly for content and copywriting.
But content and copy are only one area of marketing in which AI is being used. Here’s 2024 data on how marketing teams apply AI across various use cases:
The survey data surprisingly doesn’t include how marketing and design teams use AI-driven tools to enhance their visuals.
Last year, we surveyed 292 marketers from around the world to gather insights on how AI is reshaping visual design. Among many other findings, we found that a growing number of marketers use AI tools to create a wide range of marketing visuals:
Read more about the AI trends in design and content creation to get a better understanding of how AI contributes to visual creativity in marketing.
AI’s impact extends beyond content, design and personalization. Let’s look at a few areas where AI is making the biggest splash.
What are the key use cases of AI in digital marketing?
From content creation and chatbots to personalization and analytics, here’s how AI is changing the way marketers engage with customers and drive business results.
Content creation and personalization
Let’s play a quick game. Scroll through your feed on LinkedIn just for about 2 minutes and try to guess which posts don’t read like it was generated by AI. If you hop over to YouTube, you’ll likely come across a handful of thumbnails that were created with an AI design generator.
In 2025, it’s impossible to unsee AI’s impact in the content creation niche. Markets use AI to write generic blog openers like “In today’s fast-changing digital landscape” to create eye-catching infographics that help them improve search engine rankings.
What’s impressive is that you can choose from a wide variety of tools to generate different content for different marketing purposes. For instance, you can use:
- Jasper and Copy.ai to brainstorm content ideas, headlines and blog drafts.
- Writesonic or Surfer SEO to create search engine-optimized articles.
- DALL·E 3 or Midjourney to create realistic images from text descriptions.
- Venngage’s AI Design Generator to create all kinds of visual designs.
- Speechify to convert written text into audio.
- Vocal Remover or LALAL.AI to remove and separate audio tracks.
- Madgicx or Hyros for ad tracking and optimization.
- Synthesia or HeyGen to create videos with digital avatars with text prompts.
But content without personalization is a dud in today’s context. Brands like Netflix and Spotify use AI to tailor their content thumbnails, recommend content based on user preferences and drive user engagement.
But how can you personalize your content if you’re a small business that doesn’t have deep pockets like Netflix or Spotify?
Of course, with AI tools that come on a budget. You can use free options like ChatGPT to tailor your blog and website copy while tools like HubSpot and ActiveCampaign customize emails based on user behavior. Start small — segment your audience and personalize where it counts.
But what about human creativity? Does using AI to create content make humans disposable? Not a chance — at least not until we invent artificial general intelligence or achieve singularity.
As of today, AI lacks human judgment and can easily misinterpret tone, context or brand voice. Humans still need to review, refine and edit AI-generated content to maintain quality. The smartest way to use AI content generators is to let them generate the first draft of content while humans review, refine and edit it for authenticity and accuracy.
Related: Best AI Content Generators for 2025: Top Tools Reviewed
Data analytics and reporting
Before AI, marketers used to be drowned in data. For example, if you worked in marketing as late as 2019, you might remember spending hours sifting through website traffic data across spreadsheets either to track conversions or measure a campaign’s performance.
Today, tools like Google Analytics 4 or HubSpot Breeze come with built-in AI capabilities that can flag issues in your website traffic data or summarize campaign performance without you having to lift a finger.
Most marketers in our last year’s survey agreed that AI is a trusted copilot for data analysis:
We use AI to forecast interaction during content planning by analyzing past trends and comparable campaign types. We recently employed this strategy for a blog series. Within three months, organic traffic increased by 33% as a result of this approach.
Peter O’Callaghan, Head of Marketing at ScrapingBee
A Salesforce survey conducted among 1000 marketers found that 63% of marketers use generative AI to analyze market data. That’s hardly surprising given that AI saves marketers over 5 hours of work every week.
But AI doesn’t just analyze past data — it’s also really good at forecasting the future and recommending insights that can help you stay ahead of trends.
Depending on which analytics tool you use, you can customize your dashboard to get automated reporting, real-time predictions and actionable insights that you can apply to improve your campaigns.
Brandwatch offers the perfect example. The AI-powered social media management suite offers competitor, follower and sentiment analysis to help you improve your brand’s presence across all social media platforms.
Chatbots and customer engagement
Chatbots are perhaps the best form of AI-powered marketing automation. That’s because AI chatbots work tirelessly round the clock to engage with website visitors, answer their queries or collect their contact information.
Using AI chatbots for customer engagement might sound robotic, but research shows that most customers prefer fast responses rather than who is behind the screen. Plus, you can train the chatbots to reflect your brand tone and voice to sound more human.
AI chatbots are a godsend to e-commerce websites and food delivery platforms that thrive on impulse buying behaviors like drunk shopping, late-night cravings or limited-time discount buying.
Impulse buying is fueled by instant gratification — and AI chatbots help to trigger the urgency. They suggest products, answer doubts and nudge shoppers with limited-time offers before the buyers can change their minds.
Couple that with the fact that 47% of buyers are open to buying from a bot and you have a proven formula to crack automated sales at scale.
HubSpot, for instance, lets marketing teams create custom chatbots that can help you qualify leads, book meetings or scale personalized communications during offline business hours. The no-code chatbot builder allows you to reflect your brand personality so that you can offload the support traffic from human agents.
Deflecting support issues to chatbots not only frees up human agents to focus on more meaningful work, such as offering white-glove customer service via phone. It also ensures faster resolution time and reduces the chances of human errors.
Media buying and ad optimization
Unlike organic marketing, paid campaigns come with high stakes. Every dollar you spend on ads is a risky gamble. This used to be the case until AI came to the fore.
AI takes the guesswork out of ad buying and analyzes massive datasets to target the right audience at the right time. It can also adjust budgets in real time and optimize ad placements to maximize payoffs.
Take, for example, Adzooma which uses AI to automate paid campaigns, identify low-performing ads and suggest practical improvements to improve return on ad spend (ROAS).
Similarly, The Trade Desk, an AI-based programmatic ad platform, automates real-time bidding to make sure you only pay for the most valuable impressions.
And if you’re a small mom-and-pop online shop on a shoestring budget, AI has got your back there too. You can use Meta’s Advantage+ to automate ad optimization, ensuring precise targeting and scaling your campaign based on its performance. Unlike traditional ads, it requires less manual adjustment while still offering detailed analytics.
The only drawback is that Advantage+ works only across Meta platforms, i.e. Facebook, Messenger, Instagram and Meta Audience Network. That’s still pretty good coverage if you are a cash-strapped business.
Search engine optimization
SEO is always a moving target for marketers. Once upon a time, stuffing keywords into websites was enough to rank. Then came backlinks followed by E-EAT. Now, search engines are smarter than ever — and AI is the key to keeping up.
Right now, Google’s AI Overviews is a big shake-up to SEO since the introduction of featured snippets. These overviews pull answers directly from various sources, reducing the need for users to click on individual web pages.
The result is that brands are taking radical steps to ensure search visibility.
AI-based content optimization tools like Clearscope and SurferSEO help marketers improve SEO based on readers’ intent and ranking patterns. These tools automate keyword research and recommend keywords or phrases that you should include in your copy to improve your ranking potential.
Another interesting phenomenon is that AI platforms are turning into search engines themselves. For instance, tools like ChatGPT and You.com offer conversational search experiences where you get AI-generated responses instead of traditional search results.
For marketers, this means you now have to create AI-optimized content that search engines trust.
The only thing static from the earlier days of SEO to today is the focus on user experience. AI or not, if you can create genuinely useful content, you will likely rule the search results pages. But AI tools make the process much faster and scalable.
The brands winning at SEO today are the ones using AI to produce in-depth, research-backed content that answers real questions.
Email marketing automation
If your email open rates or click-through rate (CTR) is down, email fatigue might be to blame.
With inboxes flooded by promotional emails daily, getting your email noticed — let alone opened — is harder than ever.
And that’s another area AI-powered email automation can help.
For example, AI tools like ActiveCampaign and Mailchimp help you craft conversion-ready email copy instead of sending one-size-fits-all newsletters. These tools analyze user behavior to deliver hyper-personalized emails at the perfect time.
They also track what links users click, which subject lines work the best or how long they engage with the email content. They then tweak future emails accordingly.
Take Omnisend, for example, a free AI subject line generator that lets you improve your open rates. You can also use it to automate entire email sequences for specific use cases.
Let’s say a customer abandons their cart on your e-commerce website. Instead of blasting them with a generic automated email, Omnisend can personalize the message based on their browsing behavior.
If they were looking at a discount page, the follow-up email might offer a limited-time deal. If they visited a product page but didn’t purchase, the email could nudge them with customer testimonials.
Visual and video generation
Remember when creating high-quality marketing videos required a full production crew, expensive equipment and weeks of editing? AI has changed all that.
Today, AI-powered tools like DALL·E 3, Midjourney and Runway AI allow you to create stunning visuals and even entire videos with minimal effort. Brands can now use AI to scale content production without breaking the bank.
Take Venngage, for example. Its AI Design Generator helps marketers create everything from infographics to social media visuals in minutes. You don’t need prior design skills or hire expert designers.
Just enter a simple text prompt — or choose from one of the readily available prompts — let Venngage create a visual for you and re-generate the design if you are not happy with the outcome. You can also make manual edits to add your personal touch.
Video marketing has also seen a massive shift with AI’s growing popularity. AI avatars, voice cloning and automated translations are making it easier than ever to produce video content for global audiences.
Synthesia and HeyGen allow brands to create AI-generated videos without hiring actors. Instead, you can create digital aviators, overlay a custom voice and make them deliver scripted messages with natural expressions and gestures.
And big-name brands like Coca-Cola are already at the forefront of leveraging AI videos in their marketing. The brand recently launched its “Create Real Magic” campaign asking consumers to generate Coca-Cola artwork using OpenAI’s technology.
The campaign reached over 50 million users, resulting in 15 million tweets and mentions and 10 million shares with 5 million comments on Facebook.
Pros and cons of AI in digital marketing
There’s no denying that AI offers amazing benefits. But when we invent the ship, we also invent the shipwreck. AI also comes with challenges that require careful navigation.
Here’s a brief look at the pros and cons of AI:
Pros
- Increased efficiency and improved ROI
- Faster content creation for blogs, social media and ad copies
- Better personalization and customer engagement at scale
- Data-driven decision-making and predictive analytics
- Real-time optimization of ad placements, targeting and spending
- 24/7 lead management through chatbots on websites or messenger platforms
- Scalability for businesses of all sizes
- Cost savings through automation that eliminates manual errors
Cons
- AI-generated content often feels generic and impersonal
- Risks of inaccuracies and potential bias in AI-generated content
- Concerns related to AI’s ethical use, privacy and data security
- Limited creativity compared to humans
- Risk of growing reliance on automation
AI in marketing is still evolving and we are yet to see its full implications on jobs, consumer behavior and the global economy. Until then, we’ll need to use AI where it’s clearly beneficial (e.g., data analysis, ad targeting) and tread carefully in areas that raise ethical or practical concerns (e.g., deepfake content, hiring decisions).
Case studies: How real-world brands are using AI in marketing
If you want to make the most of AI to grow your business, you must look at leading brands that have achieved great success with it. Understanding AI’s real-world impact in businesses across the board can give you ideas that you can apply to grow your business.
Amazon
Amazon uses AI to recommend highly personalized products to its customers based on their browsing behavior and purchase history. Like we discussed earlier, Amazon is also one of the earliest brands to apply AI in its business.
It leverages predictive analytics to power its collaborative filter algorithm, which is behind Amazon’s product sections such as “Recommended for you,” “People who bought this, also bought” and “frequently bought together.”
The result? Amazon has an average conversion rate of 13% — nearly 7x the industry average.
More recently, the e-commerce giant has used AI to improve customer shopping experiences by providing personalized size recommendations and summarizing fit-related customer reviews. Their deep learning algorithm analyzes product details and customer preferences to suggest optimal sizes and aggregates Fit Review Highlights from real customer reviews.
We use the latest and most advanced forms of AI, like large language models (LLMs), to extract details from customer reviews, such as size accuracy, garment fit on specific body areas and fabric stretch. We then use AI to summarize these details in an easy-to-read review highlight.
Apoorv Chaudhri, Director of Computer Vision and Machine Learning, Amazon Fashion
Netflix
While the idea of series and or multiple movies in a row has been around for a long time, binge-watching became a thing only after people started watching Netflix.
And it’s not for nothing. Netflix’s CEO Reed Hastings is famous for saying that the company’s #1 competition is not other broadcasters — it’s sleep.
…When you watch a show from Netflix and you get addicted to it, you stay up late at night. We’re competing with sleep, on the margin.
Reed Hastings, CEO & Co-founder, Netflix
Over the years, Netflix has done a pretty good job of outpacing the competition, including other broadcasters. Here are some eye-popping stats from eachnight, a mattress guide and sleep expert company:
- Nearly 75% of Netflix users don’t get at least 7 hours of sleep each night.
- 46% of Americans who say they’re addicted to Netflix report sleep problems.
- Over 82% of Millennials admit to binge-watching Netflix for more than 5 hours at times.
- 12.9% of Americans take sleeping pills to counter Netflix’s impact on their sleep, of which 62.5% are Millennials.
If Amazon has the highest conversions in e-commerce, Netflix is the king in the streaming world. The brand has a conversion rate of 93% — higher than Amazon Prime.
How does a company that came much after entertainment houses like HBO or Cinemax achieve these feats?
Netflix leverages AI to analyze your viewing habits and suggest content tailored to your preferences. Its content personalization is unrivalled in the streaming domain and it’s why the brand boasts of enviable conversion and retention metrics.
Recent data shows that Netflix’s monthly cancellation rate is between 1-3% — far below the 5% industry average.
Its recommendation engine drives 80% of the content watched on Netflix. The brand also uses AI to personalize show and movie artwork on the home screen, displaying different images for each user even for members of the same family.
Spotify
The freshly-minted news about Spotify’s use of AI is that it has recently partnered with ElevenLabs, a leading AI voice technology company. The partnership enables Spotify to expand its library of AI-narrated audiobooks and allows book authors to create AI-narrated audiobooks in 29 languages.
Spotify’s brush with AI isn’t new. For several years, the brand has been using AI to create a deeply personalized listening experience for its users.
The music-streaming platform uses AI to analyze listening habits, such as the songs you play, skip or save to curate playlists like “Discover Weekly” and “Release Radar” tailored to your personal tastes.
This, in addition to Spotify’s other marketing efforts, has helped the brand attract over 640 million active users across the world.
In 2023, Spotify introduced the AI DJ feature which selects and plays music based on your preferences. The move ensured better user engagement and longer listening sessions to further Spotify’s growth.
The brand’s most viral use of AI in marketing shines through its annual “Spotify Wrapped” campaign. Wrapped uses AI to generate personalized summaries of users’ listening habits. In recent years, Wrapped has evolved into a much anticipated social media phenomenon that gets millions of shares across social media networks.
At Venngage, we came up with our own version of the campaign — Travel Wrapped. It’s part of Venngage’s AI feature that automatically turns your year of travel into a shareable infographic when you sign up.
Not all of Spotify’s AI experiments were successful. For example, it launched the “Wrapped AI podcast,” in 2024 to recap users’ listening habits through AI-generated voices but faced criticism for its lack of personalization and robotic delivery.
Let it be a cautionary tale of how not to use AI in areas where people crave human touch.
Tamedia
There was a time when journalists stood out through instincts, experience and sharp reporting skills. Now, AI-driven algorithms influence what gets written, who sees it and when it’s published. This is changing the rules of journalism.
Much like in digital marketing, a growing number of media houses now use AI to optimize their content for engagement, reach and audience targeting.
One company at the forefront of this transformation is Tamedia, a Swiss media giant that has strategically embraced AI to improve its journalism and marketing efforts.
Tamedia ventured into AI by launching an in-house “AI Lab” — an 8-member team dedicated to integrating AI across its 1,800-person organization.
This initiative soon led to the automation of key editorial tasks like writing news teasers, optimizing headlines and generating newsletter summaries. Building on this momentum, Tamedia joined the AI Launchpad, a five-month-long Google News Initiative and FT Strategies program to further AI’s role in the organization.
For instance, Tamedia recognized that creating a weekly newsletter required a lot of manual effort — about two hours per newsletter. Plus, the process was taxing and prone to errors. The company built a custom GPT to create content, with human oversight in place to ensure quality and accuracy.
Tamedia also developed a prompt library, connected Slack with ChatGPT and created a database for content access to improve its news operations and content quality.
Pretty soon, the media brand was able to expand its hyperlocal newsletter portfolio and improved its coverage to up to 40% of residents in the targeted communities. It also exceeded its engagement rates well above the industry average.
We organised mini hackathons with our journalists to generate ideas: what are things during their daily task which are annoying, which takes a lot of time? And we try to experiment with them on building custom GPTs.
Nadia Kohler, Head, AI Lab, Tamedia
Headway
The demand for personalization is common across all industries — and the education sector is no exception. Students want personalized learning experiences and AI enables edtech companies to provide that.
Headway, a Ukrainian edtech startup, used an AI-driven marketing strategy to significantly expand its market reach and increase the effectiveness of its video ads.
The company offers educational apps and book summaries to 110+ million users worldwide. Despite their initial reservations about AI, CEO Anton Pavlovsky had a change of heart after meeting a bunch of tech leaders during a 2023 trip to Silicon Valley.
Beyond improving ad performance, Headway applied AI across multiple touchpoints like content production, visual creation and video localization to expand its presence globally. It used AI to rapidly iterate its ad creatives, test them and refine messaging without manual effort.
The company also used Midjourney, Rask, DeepL and HeyGen in its marketing to grow rapidly. The adoption of these AI marketing tools led them to remarkable outcomes:
- Their AI-driven ads got 3 billion+ impressions.
- The return on investment (ROI) for video ads increased by 40%.
AI is a paradigm shift, akin to the internet or the smartphone. It freed up so many resources on creative and value-add endeavors for experimenting with crazy ideas.
Anton Pavlovsky, CEO & Founder, Headway
To be fair, Headway is not alone in seeing these outstanding results. 63% of marketers say AI is a game-changer in digital ads.
Best practices to implement AI in digital marketing
Using AI in digital marketing means staying at the forefront of innovation and creativity. But you need to have a thoughtful approach to make the most of it. Here are some best practices for you to use AI in your marketing effectively:
Set clear goals
Whatever you set out to do with AI in your marketing strategy should have a specific purpose. For instance, if you’re using Jasper to automate blog writing, tie it to goals like driving 50% more organic traffic, increasing blog CTR by 25% or boosting conversions by 15%.
Set realistic, measurable targets and revise them as you achieve milestones.
Develop AI expertise
You don’t need to be an ML wizard to use AI in your marketing process. But learn the basics to craft better prompts, improve AI outputs or align results with your goals. Create prompt libraries, stay abreast of the latest advancements in AI and experiment with different tools to improve your productivity.
Pro tip: Don’t adopt AI tools blindly. Start with smaller pilot projects or free trials, measure their impact and invest only in what delivers results.
Assess current strategy
Microsoft’s co-founder Bill Gates once said:
The first rule of any technology used in a business is that automation applied to an efficient operation will magnify the efficiency. The second is that automation applied to an inefficient operation will magnify the inefficiency.
Though he said this long before AI became mainstream, it’s more relevant today than ever.
Before integrating AI into your marketing, assess your current processes to determine AI readiness. Is your team equipped to use AI effectively or do you need to refine existing workflows first?
If it’s the former, identify gaps AI can fill and ensure it enhances your strategy rather than disrupting it.
Data quality is crucial
Gates’ insight on automation also applies to how AI delivers results — it always depends on the quality of your input. Tech experts call this Garbage In, Garbage Out (GIGO).
AI is only as good as the data it’s fed. If your data is messy, outdated or irrelevant, expect flawed results or ineffective automation. But if you ensure your data is clean and instructions are clear, AI will give you accurate, actionable results.
Want to learn more about validating AI outputs? Learn how to test AI for accuracy, reliability and biases to avoid costly automation mistakes.
Content personalization
AI makes “personalization at scale” a reality. Traditionally, personalization meant crafting unique experiences for individuals, while scale meant reaching the masses — two opposing goals. AI bridges this gap by processing vast amounts of data to tailor experiences for thousands at once.
For example, AI-powered email marketing tools can customize subject lines, content and send times based on user behavior and email segments.
Test and iterate
It’s in the very nature of AI and ML algorithms to continuously learn, adapt and repeat. You should do the same with the results when applying AI in digital marketing campaigns. Regularly test AI-generated content, monitor ad campaigns and track your marketing’s performance to fine-tune your approach and drive better results.
Ethical data practices
Be mindful of how you collect, store and use customer data. Adhere to regulations like GDPR diligently and introduce an oversight to regularly check if AI is reinforcing any kind of biases in your marketing content.
For instance, if AI-generated ads disproportionately target male audiences while overlooking females, adjust your input data or train your large language models (LLMs) to maintain fairness.
Pro tip: Responsible use of AI starts with clear internal policies. Establish guidelines to ensure ethical AI practices, protect data privacy and comply with legal standards. Use this Generative AI Usage Policy template to formulate a solid AI policy in your company:
Transparency and user privacy
Be upfront with your customers or other stakeholders about your AI usage in marketing. People value transparency. Clearly explain how AI powers your marketing process, the safeguards in place to ensure fairness and accuracy and how you mitigate biases.
If possible, provide options for users to opt out of AI-driven interactions if they prefer a human touch.
Future trends in AI and digital marketing
AI is the force that’s taking the digital marketing landscape by storm. By 2030, the global AI market is projected to reach $ 1811 billion. Here are some key trends in AI that will directly influence digital marketing in the years ahead.
Advanced personalization
With the way it is currently, AI-driven recommendations tools can increase conversion rates by up to 20%. But this can improve as AI models get better at analyzing real-time behavioral data, predicting customer intent and crafting hyper-personalized experiences.
In the future, personalization won’t be limited just to recommendations. For example, e-commerce brands can use AI to adjust their product pricing to maximize sales and profitability by analyzing customer demand, competitor pricing or real-time customer behavior.
This advancement in personalization will make marketing more dynamic, competitive and customer-focused.
AI’s growing ability to process unstructured data like voice and video will let brands create even more tailored interactions.
Enhanced natural language understanding
Did you know that the average person speaks around 150 words per minute but types only 40? That’s why advances in natural language processing (NLP) are making voice search, AI chatbots and virtual assistants the future of digital marketing. Expect our digital interactions with brands to be faster, more intuitive and increasingly human-like.
That’s because AI models in the future will be really good at interpreting not just the words customers use but also the nuances of tone, intent, emotion, context and even sarcasm. While some AI tools are already capable of sentiment and speech analysis, they are not perfect and can generate misleading results.
But in the future, advanced AI will enable chatbots and virtual assistants to engage with website visitors and convert them into leads.
Increased automation
About 64% of marketers already use AI, according to a HubSpot report. Right now, marketing teams use AI to automate routine tasks like email scheduling, ad optimization and basic customer segmentation.
But AI-driven automation of the future will bring far more advanced capabilities.
Rather than just automating isolated tasks like content creation or data analysis, AI will streamline end-to-end marketing workflows. For example, brands could fully automate personalized campaign execution — from audience research and content generation to real-time performance optimization — without human intervention.
Marketing-savvy companies will invest in building proprietary LLMs that not only reflect their brand voice but also autonomously generate, test and refine marketing strategies. AI-driven automation will adapt campaigns dynamically based on live data, ensuring continuous optimization.
As automation takes over routine tasks, digital marketers will evolve into AI strategists — focused on working with AI models, fine-tuning automated workflows or monitoring AI insights to drive growth.
How to prepare for the future
To survive in the AI-driven digital marketing landscape, you must build a career strategy that blends human creativity with AI efficiency.
Start by identifying areas where AI can improve your current strengths — whether that’s churning out more content or interpreting performance data. Or, use AI to bridge your current skill gaps.
On the work front, upskill in AI literacy to understand how ML models make decisions so that you can guide them effectively. Invest in AI tools that align with your brand’s needs and test their performance continuously to drive better results.
Most importantly, stay updated on AI trends, dabble with new tools and embrace the use of AI in your life.
Leverage AI to future-proof your digital marketing
The key to staying ahead isn’t just using AI but knowing how to leverage it strategically. As you re-evaluate your existing marketing efforts, think of where you can use AI to get immediate value — whether it’s optimizing ad spend or creating marketing visuals in seconds.
For instance, consider using Venngage’s AI Design Generator to create data-driven visuals. It can save your team hours on design with AI-powered auto-branding, automated content and copy generation and fully customizable templates.
