Why AI tools alone aren’t enough for effective marketing
AI tools are both readily available and tempting for time-strapped marketers, with their use saving 13 hours per week and $5,000 per month for SMB marketers on average.
AI in marketing broadly refers to the use of AI to analyse data, automate or speed up tasks, and personalise marketing to improve targeting, content resonance, and customer experience.
With ChatGPT, Gemini, and Perplexity accessible in seconds, it’s easy to believe that anyone can suddenly become an AI-powered marketer without any training.
After all, AI in marketing is so easy to use, with answers and content generated in seconds.
However, AI is not a replacement for marketing expertise. In fact, as use of AI increases, marketing expertise is more important than ever to ensure your work stands out.
AI is going nowhere, so marketers must adapt to keep pace.
The harsh truth about AI in marketing
AI without training doesn’t make you a better marketer; it just makes you faster at getting mediocre results.
It’s becoming easier to spot AI-generated content. Or, that is, unoriginal AI-generated content.
How many times have you seen em dashes scattered throughout content excessively?
Or seen a piece of content begin with “in an ever evolving *insert industry here* landscape…”?
When content is clearly AI generated, many people turn off to it and immediately devalue its contents, leading to disengaged audiences and mediocre marketing results.
That being said, there’s nothing inherently wrong with well-executed and refined AI-generated content, as it’s not currently penalised in search algorithms and can be an excellent way to elevate quality via removing human bias and error.
To avoid falling into the mediocre marketing AI trap, it’s important to remember that AI is not your competitive advantage. Your competitive advantage is the skill of your teams that allow AI to be leveraged as a driver for growth, not just a tool that speeds up workflows. AI content must continue to be curated by humans, to resonate with humans.
This is the skills gap that INPD’s AI courses are designed to close.
Can you use AI for marketing without training?
Many individuals and teams do use AI for their marketing without being trained on it first but, in terms of effectiveness, a lack of AI specific training limits the impact of these tools.
According to Salesforce, 43% of marketers don’t know how to get the most value out of AI and 39% don’t know how to use AI safely. It’s no coincidence, then, that 54% of marketers say that Gen AI training is important for their role, and a further 70% says that their employer does not provide this.
AI tools can generate content, run analysis, create campaigns, draft strategies, and even write ads. However, if the human behind the AI doesn’t understand:
- how AI models work
- how to prompt effectively
- how to validate outputs
- how to apply strategic marketing principles
- how to avoid inaccuracies, bias and hallucinations
- how to integrate AI into workflows
…they risk producing work that is:
- inaccurate
- generic
- off-brand
- non-compliant
- strategically weak
Improper use of AI can actually highlight weaknesses, rather than strengths.
Why AI tools alone fall short for marketers
Here’s where untrained AI use typically breaks down:
AI can write content, but it can’t build strategy
AI marketing tools cannot decide audience positioning, brand voice, messaging pillars or commercial priorities. This is up to the skilled marketer to decide and then articulate these in a way that the AI can understand.
AI is only as good as the prompts and data it’s given
If you ask, “Write me a marketing plan”, the answer engine will give you a generic template.
A trained marketer using a structured, multi-layered prompt with their own customer and organisational data gets a real, actionable plan that delivers commercial impact.
AI can hallucinate confidently
If you don’t know how to verify outputs or spot red flags, you risk publishing incorrect information. It’s actually extremely common for answer engines like ChatGPT to hallucinate statistics completely. So, it’s essential to do your own research.
AI doesn’t know your business as well as you do
It predicts patterns, but it doesn’t understand your business. That still requires skilled interpretation and lived experience.
What skills are actually needed for AI marketing?
To use AI effectively, marketers need:
- Prompt engineering fundamentals
- Strategic thinking
- Data literacy
- Market and customer insight
- Brand positioning
- Ethical AI and governance awareness
- Workflow design and automation skills
These skills are vital to get the most from AI engines through detail-rich prompts, enhanced context, and responsible use. These are precisely the skills taught in INPD’s AI courses; tools will change, but skills compound.
Is AI marketing a real career path?
With 88% of marketers using AI in their role, AI marketing is becoming an essential skill for many marketers. AI-specific marketing roles are increasing 33% year on year, so leveraging AI for better marketing outcomes is fast becoming a career path for many forward-thinking marketers.
Roles like:
- AI Marketing Specialist
- AI Content Strategist
- Prompt Engineer
- Marketing Automation Lead
…are already becoming mainstream.
However, these roles demand a strategic focus and knowledge of proven frameworks, not just evidence of experimenting with LLMs (large language models) such as ChatGPT or Copilot.
A certificate from a recognised provider like INPD signals capability, not experimentation, and prepares delegates for the future of work.
How effective is AI in marketing when used properly?
When applied with skill, AI can:
- Perform deep research by plugging into your CRM systems, offering unbiased insight into your customers
- Speed up content creation and proof-reading, such as using AI to repurpose existing content into multiple different formats (e.g. repurposing a whitepaper into several different social media posts)
- Personalise marketing communication at scale, through using customer data to tailor messaging, offers, and customer journeys
- Enhance creativity by acting as a sounding board for new ideas and creating A/B tests for content
AI is not coming for the job of marketers. However, it will separate the average marketers from the forward-thinking, future-proof marketers.
How do you learn AI marketing properly?
This is the gap INPD’s AI training is built to fill.
INPD courses teach:
- How AI models work
- How to prompt strategically
- How to integrate AI into real workflows
- How to build campaigns using AI
- How to validate, refine, and elevate AI outputs
- Where AI fits into professional marketing practice
It’s not about learning a tool – it’s about learning a professionally credible skillset.
Ultimately, AI won’t replace marketers, but trained marketers will replace untrained ones.
Untrained users get average results faster, whereas trained professionals get exceptional results at scale.
If you want to:
- future-proof your career
- strengthen your organisation
- use AI with confidence
- stand out in a competitive market
AI training is essential to consider.
Ready to unlock the real value of AI? Find out more about our AI course for marketers here.
