Artificial intelligence is transforming marketing faster than many of us can keep up. As we head into 2024, generative AI is poised to change the game even more. With capabilities like creating content, analyzing data, and generating visual assets, AI is fundamentally altering marketing workflows.
But for many marketers, AI still feels like unfamiliar terrain. Adoption is picking up steam, but there are still common questions around how to use it effectively and safely. There may even be some understandable concern about how AI will impact marketing roles and required skillsets moving forward.
This seismic shift can feel overwhelming, but by learning more, we can embrace the possibilities of generative AI. With the right understanding and precautions, AI can become an invaluable asset that empowers human creativity rather than replacing it. Let’s walk through what we can expect as marketers in the AI-enabled year ahead.
Generative AI refers to artificial intelligence that can create brand new content or assets that appear to be original. This contrasts with other applications of AI that focus more on analysis, like recognizing patterns in data.
The most talked-about examples of generative AI so far are chatbots and large language models like Chat GPT. These use machine learning algorithms to generate remarkably human-like text based on the patterns they’ve learned from massive datasets.
But generative AI isn’t limited to words. It can also generate images, 3D models, code, audio, video, and much more. Some key examples of generative AI creative tools include:
These emerging technologies hint at just how profoundly generative AI can augment human creativity. For marketers, they open up game-changing possibilities in content creation, ad design, data analysis, and beyond.
It’s no secret that generative AI is having a moment. But what’s driving this rapid growth?
In essence, recent leaps in natural language processing and neural networks have unlocked a whole new level of possibility. AI can now produce remarkably convincing, human-like content tailored to specific prompts.
For marketers, it provides an enticing opportunity to save time, increase output, and get creative inspiration. No wonder adoption is accelerating so quickly.
To give a sense of scale, Salesforce found that:
Forrester predicts even bigger growth, estimating that 60% of B2B marketing teams will be using AI content creation tools by 2025.
Clearly, generative AI is reaching an inflection point. The incentives are obvious for marketers:
Save time. AI tools can draft in seconds what would take a human hours. This frees up marketers to focus on higher-value tasks.
Increase output. With AI able to replicate human writing and design at scale, marketing teams can produce far more content across multiple formats.
Inspire creativity. Generative AI provides sparks of inspiration and serves up entirely new ideas that humans may not have conceived of.
Optimize for SEO. AI can streamline keyword research and seamlessly integrate keywords into natural sounding copy.
Personalize at scale. With its data analytics capabilities, AI enables more tailored 1:1 marketing through dynamic content creation.
Reduce costs. Depending on the application, AI content creation can cost a fraction of human-produced assets.
With benefits like these, it’s no surprise that generative AI adoption is accelerating rapidly. As the technology improves, it will reshape workflows across the entire marketing landscape.
Generative AI is creeping into virtually every aspect of marketing. According to recent surveys, the most common uses so far are:
Content creation tops the list, with AI-generated text powering everything from blog articles to landing pages. Marketers value the ability to quickly produce huge volumes of high-quality copy with minimal human effort.
But AI’s applications stretch far beyond just writing. Interactive chatbots are becoming ubiquitous for automated customer service. Speech synthesis allows for responsive voice interfaces. Image generators like DALL-E can swiftly create custom visual assets.
Even at this early stage, AI is transforming marketing workflows. But as the technology matures, it will reshape the very foundations of how brands attract, engage, and delight customers.
Let’s explore some of the key ways generative AI can augment marketers’ capabilities:
Need a hundred new product descriptions tailored to very specific customer segments by tomorrow? Want to test endless headline variations to find the perfect clickbait?
Tasks like these would be unthinkable without AI’s unique strengths. Generative models allow us to experiment with scale and personalization that no human team could match.
Even the best copywriters have off days when they stare at a blank page waiting for inspiration to strike. With AI, marketers can instantaneously generate pages of fresh ideas and written copy to get the creative juices flowing.
Keyword research and placement often feel disconnected from the rest of content creation. But AI can analyze keyword data and then integrate chosen terms directly into natural sounding copy.
Thanks to AI’s writing skills, marketers can reduce the time spent on manual tasks like writing ads or social posts. This allows them to focus energy on big picture planning and strategy.
Quickly generating endless variations of copy, images, or campaigns allows for more rapid testing and refinement. AI enables a data-driven iterative approach to find out what resonates.
With chatbots handling common customer service needs around the clock, human agents can spend their time resolving more complex issues.
AI excels at finding patterns in vast datasets that would take teams of analysts weeks or months to uncover. These insights can inform content strategy and personalization.
With its instant ability to research topics and generate text, AI is an always-available training tool. Marketers can use it to quickly get up to speed on new products, industries, or concepts.
As these examples illustrate, generative AI removes many of the friction points and constraints that limit human marketers. It doesn’t replace creativity and strategic thinking but rather amplifies it.
While generative AI is already making inroads, where should marketers expect to see the biggest impact and the fastest growth over the next year? Based on current data, some of the top trends to monitor include:
Content explosion – Both the volume and variety of AI-generated content will skyrocket. Long-form articles, social posts, webpage copy, emails, ads – anything composed of words or images is fertile ground for AI creation.
More personalization – As AI gets better at synthesizing customer data, dynamically generated content tailored to individual users will become more prevalent.
Multimodal content – Rather than just generating text or just images, AI will increasingly create integrated multimedia content, like videos, AR experiences, and interactive 3D.
Voice takeover – We’ll see exponential growth in voice interfaces powered by AI synthesis for applications like automated call centres, branded podcasts, and voice search optimization.
Creative democratization – Easy access to powerful generative AI through apps could potentially enable anyone to produce professional graphics, copy, or other assets without specialized skills.
New hybrid roles – Jobs increasingly focus on complementing AI strengths with human creativity and empathy. Expect growth in roles like AI trainer, campaign strategist, data wrangler, conversation designer, etc.
With lightning-fast progress, questions naturally arise around the responsible use of generative AI in marketing. Common concerns include:
Since generative AI only remixes and transforms existing patterns in data, some argue it cannot be truly original. And research shows AI can unconsciously paraphrase copyrighted text without attribution, raising plagiarism concerns.
Mitigating practices include explicitly prompting for originality, sourcing training data ethically, and screening output for plagiarized passages. AI should enhance, not replace human creativity.
Some fear AI will make copywriters and other creatives obsolete. But looking at the history of past automation, AI will likely augment existing roles more than replace them. Creatives may function more like creative directors, focusing on high-level ideas while AI handles execution.
There will be a strong premium on the uniquely human skills AI lacks – strategy, emotional intelligence, creative thinking, and collaboration. Jobs will evolve rather than disappear, while new AI-focused roles will also emerge. Proactively upskilling and learning to use AI tools is key to staying relevant.
Like any technology, AI carries risks if used without diligence. Potential issues include perpetuating societal biases, spreading misinformation, or revealing personal data through inference.
Thoughtfully sourcing training data, intensively testing outputs, and having humans continually monitor for errors is critical to using AI responsibly. Transparency and vigilance will be key to upholding ethics.
Since AI lacks human context and judgment, it requires detailed constraints to channel its capabilities constructively. Skillfully framing prompts and intelligently training models is crucial to producing high-quality, relevant outputs.
This makes learning prompt engineering techniques essential for marketers looking to apply AI. There is also an art to iteratively guiding the AI to refine its results, like collaborating with a creative apprentice.
Hopefully, this gives a comprehensive landscape of where generative AI is headed in marketing. But it all comes down to a simple, practical question – how can you actually start using these tools in your own work? Here are some tips:
Start small – Don’t try to completely automate everything at once. Pick a single use case like optimizing website copy and run small tests.
Invest in learning – Take courses on machine learning foundations to deepen your understanding of how to frame prompts and train models.
Practice prompt engineering – Experiment extensively with phrasing prompts to consistently get useful outputs from AI. Study techniques and share learnings.
Monitor for errors – Have humans review a sample of content for quality, bias, and plagiarism. Provide additional training data to the AI to continuously improve results.
Coach don’t command – Guide the AI creatively through multiple iterations rather than expecting perfection immediately. Think of it as your apprentice.
Augment teams wisely – Have roles evolve to focus more on strategy, ideation, and coaching AI creators rather than rote execution.
Embrace experimentation – The possibilities are vast, and best practices are still emerging. Maintain a culture of testing and learning.
Though it can feel intimidating, the rise of generative AI will empower marketers more than it displaces them. These tools don’t replace human creativity, judgment, and strategy – they amplify them.
AI will handle tedious, repetitive tasks while marketers focus on big ideas and guiding strategy. It will allow for greater scale, personalization, and experimentation than ever before. And it will open up creative possibilities we can only begin to imagine.
The marketing landscape will certainly look very different by the end of 2024 as AI becomes more integrated into workflows. But by starting to engage with it now, we can shape that future responsibly and harness it to delight customers in new ways.
The promise is compelling if we approach it thoughtfully – more time for strategy, deeper insights and creativity, stronger connection with customers. With an open and optimistic mindset, AI can become every marketer’s closest creative collaborator. The future is ours to create.
Located in Auckland, New Zealand, AI Innovisory is your strategic partner in navigating the complex landscape of AI and its transformative impact on businesses. We are not an AI solution provider but a dedicated AI consulting firm that empowers businesses to harness the power of AI in innovative and strategic ways.
If you’re prepared to lead in your industry, we’re here to help you excel. Let’s explore how you can maximise the potential of advanced technologies.
Don’t just be in the game – be ahead of it.