AI and Human Critical Thinking in Digital Marketing

Written by Paulina Wasiak, Founder of DMalip
Digital marketing strategist specialising in H2H (Human-to-Human) marketing.

Read time: about 15 minutes.

In our previous blog posts, we explored whether AI will replace creativity, emotional intelligence, empathy, human-to-human connections, intuition, ethics and responsibility in digital marketing (you can find links to these articles at the bottom of this page). Each topic brings us back to a similar question: as technology becomes more capable, how do we continue developing the qualities that make us human?

This time, we want to explore another important part of how we think and make decisions: HUMAN CRITICAL THINKING AND JUDGMENT. These abilities influence how we interpret information, question what we are told (or sometimes fail to question and simply follow blindly), recognise assumptions, and decide what makes sense when there isn’t an obvious right answer. As AI becomes increasingly involved in our everyday work and even our personal lives, these abilities may become more important than ever.

Think about how easy it has become to find answers. We can ask AI to develop a marketing strategy, analyse competitors, identify our target audience, suggest content ideas, evaluate campaign performance or recommend the next steps for our business. Within seconds, we can receive a detailed response that looks convincing, well-structured and professional.

There is, however, another side to this conversation that we won’t explore in detail today: how much electricity do data centres consume to generate the enormous volumes of AI content we are now producing, including messages that may sometimes be entirely artificial or unnecessary? And what about the environmental impact and the people living in communities close to these data centres? These are important questions in their own right, even if they are not the main subject of today’s article.

But have you ever stopped to ask yourself how much of the information you receive from AI you actually question? If anything?

Do we examine the answers we receive, or are we gradually becoming accustomed to accepting them because they sound reasonable? Do we consider whether something is accurate, relevant and appropriate for the situation, or do we simply follow the recommendation because it saves us time, without a second thought or even consulting our own gut feeling?

At DMalip, we believe technology should support our development, not replace our willingness to think, explore and learn. AI can give us access to information and perspectives we might not have considered, but it is still important to understand what we are looking at, question what we are being told and make our own judgments.

Critical thinking: the importance of questioning what we know

Critical thinking is often discussed as though it simply means being sceptical or disagreeing with other people’s opinions. However, I believe it is much more than that. It is about being curious enough to question information, open-minded enough to consider different perspectives, and thoughtful enough to recognise when something doesn’t quite add up.

Sometimes, it also means trusting our own intuition and gut feeling. We have been equipped with these abilities as human beings for a reason, so perhaps we should remember to use them.

In digital marketing, we encounter information constantly. We look at statistics, reports, trends, customer behaviour, competitor activities and industry predictions. We use these insights to make decisions about our campaigns, communication and business strategies. But information doesn’t automatically provide understanding, and having access to more data doesn’t necessarily mean that we are making better decisions.

Imagine that an AI tool analyses your previous marketing campaigns and recommends focusing your entire budget on one particular audience. According to the data, this group has the highest conversion rate and generates the strongest return on investment. At first glance, the recommendation seems logical. Why would you invest in an audience that performs less effectively?

But what if the data only reflects your previous targeting choices? What if you have never properly explored another audience? What if the group that currently converts best has simply been exposed to more of your marketing activity? And what if a different audience represents an opportunity for long-term growth that your existing data cannot fully reveal?

What if your ideal customer isn’t even on social media platforms, for example?

These are the kinds of questions that require us to look beyond the immediate results.

Critical thinking encourages us to examine not only the information in front of us, but also the assumptions behind it. It reminds us that data always needs context and that the conclusions we draw depend partly on what we choose to measure, what information we have available and what we might be overlooking.

It also means being willing to question our own thinking. We all have assumptions, preferences and previous experiences that influence how we interpret situations. Sometimes, we look for information that confirms what we already believe rather than considering whether we might be wrong. Recognising this is an important part of developing our ability to think independently.

AI can help us explore alternative perspectives, identify possible weaknesses in our reasoning and ask questions we might not have considered. However, we still need to be willing to engage with those questions rather than simply asking for an answer and moving on.

When AI sounds convincing, should we believe everything it tells us?

One of the interesting things about AI is how naturally it can present information. It can organise complex ideas, explain unfamiliar topics and produce detailed responses in a confident and professional tone. Sometimes, the result looks so convincing that it is easy to forget that the information may still contain errors, unsupported assumptions or missing context.

This is particularly important in digital marketing, where decisions are often based on research, statistics and information gathered from different sources.

Imagine that you ask AI to prepare a competitor analysis for your business. It provides an impressive report, identifies market opportunities, compares several companies and highlights what appears to be a gap in the market. You might be tempted to use those findings immediately when developing your strategy.

But have you checked whether the companies are described accurately? Are the statistics current? Are the sources reliable? Does the analysis reflect your actual market, or has the tool made assumptions based on incomplete information?

AI-generated information should not automatically be treated as verified information. Even when an answer is well-written, we need to examine where the information comes from and whether the conclusions are supported by evidence.

The same applies to content creation. AI can help us generate ideas, write articles, prepare social media posts and develop marketing messages. However, just because a piece of content sounds professional doesn’t necessarily mean that it communicates something meaningful, accurate or relevant.

Perhaps we have become so impressed by how quickly AI provides answers that we sometimes forget to question where those answers come from.

For me, this is one of the most important aspects of critical thinking in the age of AI. We shouldn’t measure the quality of information by how confidently it is presented or how quickly it is produced. We need to look at its substance, understand its limitations and consider whether it makes sense in the context in which we intend to use it.

Human judgment: when there is no obvious right answer

Critical thinking helps us examine information, but what happens when we have considered all the available evidence and still need to make a decision?

This is where human judgment becomes particularly important.

In digital marketing, not every decision can be made by following a set of rules or selecting the option with the highest predicted performance. Sometimes, we need to interpret a situation, understand the wider context and decide which direction makes the most sense.

Imagine that a particular social media trend suddenly becomes viral. Millions of people are participating, engagement is growing rapidly, and AI identifies an opportunity for your brand to join the conversation. The tool recommends a campaign, predicts significant reach and suggests that participating could increase brand visibility.

Or consider an even more extreme scenario. You go onto social media, find a few influencers and notice their enormous engagement figures. But how do you know that this engagement actually comes from real, living human beings? Could some of it come from bots?

The so-called Dead Internet Theory raises questions about how much of the online activity we encounter is genuinely human. Regardless of how far one takes this theory, the existence of bots and artificial engagement makes it important to question what we see online.

And perhaps your ideal customer is simply sitting in their garden, growing beautiful flowers, without announcing every moment of their life to the world through social media channels.

A little reminder that not everyone is online, not everyone wants to be visible, and not everyone communicates their interests through likes, comments and shares.

From a performance perspective, joining a viral trend might look like an excellent opportunity.

But should every brand follow every trend?

Perhaps the trend doesn’t reflect the brand’s personality. Maybe it involves humour that could be misunderstood, makes light of a sensitive subject or simply doesn’t connect with the audience the business wants to reach. It might generate millions of views, but those views may not translate into meaningful engagement, trust or long-term value.

And again, how much of that enormous engagement is actually genuine?

There is nothing wrong with participating in popular trends. They can be creative, entertaining and an effective way to reach new audiences. However, popularity alone doesn’t tell us whether something is appropriate for a particular brand.

There is also another dimension worth considering: the energy that certain trends generate. When something becomes extremely popular, it can create what some people describe as an energy egregor – a collective energy or emotional atmosphere generated by the attention, thoughts and participation of many people.

Whether we approach this idea from a spiritual, psychological or simply metaphorical perspective, perhaps it is worth asking ourselves another question: what kind of collective atmosphere are we contributing to? Is it something positive or negative for people, and is it something we genuinely want to be part of?

A good marketer needs to understand more than what is currently attracting attention. They also need to recognise the identity of the brand, the expectations of its audience and the context in which a particular message will be received.

Sometimes, the best marketing decision is not to participate.

And this is an interesting distinction between identifying an opportunity and understanding whether it is the right opportunity. AI can help us recognise what is happening and suggest possible ways to respond, but human judgment allows us to consider whether the recommendation makes sense in the circumstances.

The same principle applies to many other marketing decisions. A competitor might be investing heavily in a particular platform, but does that mean your business should do the same? A campaign might generate thousands of interactions, but are those interactions coming from the people you actually want to reach? A particular style of content might be popular today, but will it still reflect your brand in the long term?

There isn’t always one correct answer. Sometimes, we need to consider different possibilities, accept that we don’t have all the information and make a decision based on the best understanding we have at that moment.

The danger of following trends, numbers and recommendations blindly

Digital marketing is an industry that changes constantly. New platforms, formats, tools and trends appear all the time, and businesses are often encouraged to adapt quickly if they want to remain visible and competitive.

There is nothing wrong with staying informed or learning from what others are doing. In fact, understanding industry developments is an important part of professional growth. However, problems can arise when we start following trends without questioning whether they are relevant to our own business.

Think about how many times you have seen companies copying a competitor’s campaign simply because it appeared successful. Or brands adopting a particular social media format because everyone else seems to be using it. Perhaps the content generates impressive engagement, but the connection between the trend and the actual brand is difficult to understand. We will always be better as original versions of ourselves than as copies of someone else.

The same can happen when we rely too heavily on numbers.

Imagine that a particular type of content consistently receives more likes and comments than anything else you publish. It might be tempting to focus your entire content strategy on producing more of it. But what if those interactions don’t lead to meaningful conversations, enquiries or customers? What if the content attracts attention from people who are not interested in what your business actually offers?

Engagement is valuable, but it isn’t the only measure of success.

We need to understand what the numbers represent, what they don’t tell us and whether the results support the wider objectives of the business. A high number of views doesn’t automatically mean that people understand the brand, trust its message or see value in its products and services.

AI can make it easier to identify patterns and replicate what appears to work. It can help us produce more content, test different approaches and optimise campaigns. But if we focus only on repeating successful patterns, we might miss opportunities to experiment, develop new ideas or communicate in ways that are more meaningful to our audience.

Sometimes, progress requires us to question what everyone else is doing rather than simply follow it.

Can AI help us become better critical thinkers?

I don’t believe that using AI and thinking independently have to be opposing activities. In fact, when used thoughtfully, AI can become a valuable tool for developing our critical thinking.

We can ask it to challenge our assumptions, identify weaknesses in a strategy, present arguments against an idea or explore alternative explanations for a particular result. We can use it to examine a problem from different perspectives and help us recognise aspects we might have overlooked.

Imagine that you have developed a new marketing strategy and feel confident about your approach. Instead of simply asking AI whether it is a good strategy, you could ask it to identify potential weaknesses, question the assumptions behind your target audience and suggest reasons why the campaign might not achieve the expected results.

You could also ask it to consider how different groups of customers might interpret the same message, or whether there are alternative ways to achieve your objectives.

This can be particularly useful because we don’t always recognise the limitations of our own thinking. Sometimes, we become attached to an idea because we have invested time in developing it. We might focus on the evidence that supports our approach while overlooking information that challenges it.

Having another perspective can help us step back and reconsider.

However, there is an important difference between asking AI to do our thinking and using it to challenge our thinking. If we simply ask for a complete strategy and accept the result without examining it, we may save time, but we don’t necessarily develop a deeper understanding of the problem. If we use AI to explore possibilities, question our reasoning and investigate different approaches, we remain actively involved in the process.

AI can help us see things differently, but we still need to decide what deserves our attention, which arguments are convincing and what conclusions are supported by the information available.

At DMalip, we believe the mind is like a muscle: it needs to be exercised if we want it to remain strong. Learning something new, questioning an assumption, exploring an unfamiliar perspective or changing our minds after discovering better information are all ways of developing ourselves.

Perhaps we should use AI not only to find answers more quickly, but also to ask better questions. And perhaps, every now and then, we should step away from AI, use our own brains and train this muscle ourselves.

Finding the balance between AI and human judgment

When discussing critical thinking and judgment, it is important not to assume that human decisions are always better than AI recommendations. We all have limitations. Our thinking can be influenced by personal experiences, emotions, habits, incomplete knowledge and unconscious biases. Sometimes, we make decisions too quickly or reject an idea simply because it challenges what we already believe.

AI can help us recognise patterns, compare information, identify inconsistencies and consider perspectives that we might not have explored ourselves. There may even be situations in which an AI recommendation helps us recognise that our initial judgment was wrong.

This is why I believe the aim should not be to choose between human thinking and artificial intelligence. It should be to understand how they can complement each other.

But at the end of the day, we, as human beings, should remain in the driver’s seat.

In everyday digital marketing, this might mean using AI to analyse campaign performance while taking the time to understand what the results actually mean. It might involve asking AI to suggest content ideas but evaluating whether they reflect the brand’s identity and communicate something valuable. It could mean using AI to research competitors while questioning whether their strategies are genuinely relevant to your own business.

It also means being comfortable with uncertainty. Not every decision will have a clear answer, and not every opportunity can be evaluated through measurable results. Sometimes, we need to consider several possibilities, discuss different perspectives and accept that our understanding may change as new information becomes available.

Critical thinking doesn’t mean disagreeing with everything or constantly looking for problems. It means being willing to examine information before accepting it, recognise when we might be making assumptions and understand why we agree or disagree with a particular recommendation.

Human judgment, meanwhile, helps us bring all these considerations together and make decisions that reflect the situation we are actually facing.

What if the real risk isn’t AI replacing our ability to think?

We often ask whether AI will replace human creativity, emotional intelligence, empathy, intuition or critical thinking. But perhaps the risk is not necessarily that AI will take these abilities away from us. Perhaps it is that we may gradually stop exercising them ourselves.

If AI always provides an answer, will we still take the time to investigate a problem independently? If it suggests a strategy, will we question the assumptions behind it? If it gives us a ready-made solution, will we remain curious enough to explore alternatives?

These are possibilities, not inevitable consequences of using AI. Technology can support our development, but we need to remain conscious of how we use it.

There is a difference between using a tool because it helps us work more effectively and relying on it so heavily that we no longer feel the need to understand what we are doing. The first can help us develop. The second may gradually reduce the opportunities we have to practise our own thinking.

We are imperfectly perfect human beings. We don’t know everything, we make mistakes, and sometimes we reach conclusions that later turn out to be wrong. But we also have the ability to question ourselves, learn from experience, consider different perspectives and change our minds.

At the end of the day, perhaps our mission as human beings is to become better versions of ourselves every single day. In doing so, we can also become better marketers. The two are connected.

Critical thinking doesn’t require us to have all the answers. It requires us to remain curious enough to keep looking for them.

Perhaps, in a world where information is becoming increasingly accessible, one of the most valuable abilities we can develop is knowing how to question it.

Final thoughts: human-to-human first. Always.

Perhaps the most important question isn’t whether AI will replace human critical thinking and judgment in digital marketing, but whether we will continue to use and develop these abilities as technology becomes more capable.

Will we accept recommendations simply because they sound convincing, or will we take the time to examine them? Will we follow every trend because it generates attention, or will we consider whether it makes sense for our brand and audience? Will we measure success only through the numbers we can see, or will we also consider what those numbers actually tell us?

At DMalip, we believe that digital marketing is ultimately about people: the people behind the brands, the people making the decisions, and the people who experience the messages we create. Technology can help us understand information, identify opportunities and work more efficiently, but it shouldn’t take away our curiosity or our willingness to think independently.

We don’t need to question everything simply for the sake of questioning it. We need to understand what we are accepting, why we are accepting it and whether it makes sense in the context of the decision we are making.

Having access to answers is valuable, but knowing which questions to ask is equally important. And sometimes, the ability to recognise that an impressive recommendation isn’t necessarily the right one is what makes the difference between simply following a strategy and truly understanding it.

We should continue learning, exploring, questioning and developing ourselves, because becoming better at using AI should not mean becoming less engaged in our own thinking.

And remember: using more AI does not automatically mean becoming a better human being.

Thank you for reading.

Human-to-human. Always.

Created by imperfectly perfect humans.