10 Challenges Marketers Face When Implementing AI in 2023 [New Data + Tips]

It’s no secret that embracing AI can include a variety of advantages on your advertising staff — issues like job automation, time and price financial savings, elevated productiveness, and extra. Regardless of these evident advantages, there’s a lingering reluctance amongst many entrepreneurs to include AI into their methods.

In our report, The State of AI in Advertising and marketing in 2023, we discovered that solely 35% of entrepreneurs use AI of their function. So, we wished to dive into the challenges that entrepreneurs face when working with AI and discover methods to bridge the hole.

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We’ll additionally spotlight skilled perception from trade leaders so you may learn to deal with these challenges and harness the facility of AI in advertising.

Desk of Contents:

The ten Largest Challenges When Implementing AI

Together with the advantages of utilizing AI in advertising outlined within the picture under, the challenges of implementing AI in advertising are huge.

benefits of using AI in marketing

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This consists of challenges associated to the AI methods themselves, processes, staff buy-in, and extra. We‘re working by way of the largest challenges and the information that justifies these day-to-day challenges. You’re not the one one feeling the wrestle.

Listed below are 10 widespread challenges relating to AI in advertising.

biggest AI challenges for marketers

1. Hampering Creativity

64% of entrepreneurs share a standard concern — they imagine that generative AI will alter (40%) or hamper (24%) the creativity of those that use it.

Deloitte Insights discovered that 42% of high-growth firms depend on advertising for his or her most artistic concepts: “Whereas artistic concepts can come from any of those sources, the CMO is usually finest positioned to be the champion of figuring out and activating these concepts throughout the enterprise.”

With Deloitte Insights’ findings in thoughts, the notion of hampering creativity is a legitimate concern. We’d like advertising groups to really feel artistic. However, can AI and advertising creativity be achieved? We predict so.

Deloitte Insights found that 42% of high-growth companies rely on marketing for their most creative ideas
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In our advertising and AI survey, 36% of entrepreneurs agree that Generative AI will enhance the creativity of those that use it.

Maybe the important thing to overcoming the problem of hampering creativity is entrepreneurs utilizing these instruments to get artistic juices flowing.

2. Over-Reliance

Over-reliance on AI instruments is on nearly each marketer’s thoughts.

The overwhelming majority of these surveyed (88%) agreed that entrepreneurs ought to use generative AI. Nonetheless, 67% mentioned that entrepreneurs ought to keep away from turning into overly reliant on it.

The problem of turning into too reliant on AI might account for 47% of partially automated buyer journeys, based on Ascend2.

The challenge of becoming too reliant on AI may account for 47% of partially automated customer journeys, according to Ascend2.
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If it does, there is a case that AI can nonetheless automate advertising to some extent. In any case, 47% of automated customer support is 100% higher than none.

3. Further Time Commitments

You want a superb enter in order for you a sound output from AI. Meaning it is advisable know what to ask for primarily based in your targets.

Prompting AI for advertising is yet one more factor so as to add to your swelling to-do checklist.

Like several new talent, prompting AI must be realized and practiced. The excellent news is that the time taken to immediate and use AI could also be a case of short-term ache for long-term achieve.

Primarily based on our analysis, in the event you can immediate AI to ship generative content material that you simply’re glad to publish, you might save as a lot as three hours and ten minutes when engaged on a single piece of promoting content material from begin to end — not dangerous.

4. Creating Working Processes

A contributing issue to the problem of time constraints relating to implementing AI is creating processes. However, navigating the challenges of AI will likely be simpler with a working course of.

For those who use AI, you need all staff members to work with it equally. An AI course of is required to assist eradicate bias and guarantee every little thing is fact-checked, and it naturally offers finest observe suggestions to make use of AI instruments effectively.

AI content marketing workflow
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5. Inaccurate Info

In our state of AI in advertising analysis, we discovered that one of many high challenges for entrepreneurs implementing AI is pushback concerning inaccurate data.

It is unsurprising, contemplating nearly half of the entrepreneurs surveyed have obtained incorrect data from generative AI.

Little doubt, for conscientious entrepreneurs, producing inaccurate data is a legitimate concern and will trigger points for model status and model/client relations.

6. Poor High quality Content material

Much like the problem above, poor-quality content material is a priority for conscientious entrepreneurs. However, there’s an argument that this doesn’t should be a problem.

Creating content material is the second commonest job entrepreneurs use generative AI for. 45% of entrepreneurs surveyed use AI for content material creation, together with writing, photographs, and thought era.

The highest three makes use of for generative AI in content material embody:

  • Getting concepts/inspiration for advertising content material – 22% of entrepreneurs
  • Summarizing textual content into key factors – 21% of entrepreneurs
  • Writing copy and creating photographs for advertising content material – 20% of entrepreneurs

7. Privateness and Knowledge Evaluation

Equally to the above, there are nonetheless huge issues about privateness and knowledge evaluation.

In terms of knowledge evaluation, entrepreneurs use AI to research buyer knowledge and perceive consumer conduct. It brings its personal set of challenges.

8. Job Alternative

The fear about job alternative has been round for some time, and it’s comprehensible.

In 2017, a McKinsey report studied concerns across the office in 2030 and the way AI may affect it. The report estimated that “between 400 million and 800 million people could possibly be displaced by automation and wish to search out new jobs by 2030.”

The excellent news is the findings are but to come back to fruition. However the worry remains to be there. You may discover some pushback when implementing AI along with your staff in the event that they’re anxious about job safety.

In 2023, the topic of job alternative and AI is far more constructive. Mike Maynard, the CEO at Napier, revealed an article titled Will AI Lead To The Finish Of Advertising and marketing Jobs? in Forbes.

Maynard mentioned, “AI will inevitably change sure elements of conventional advertising, however by and huge, it can in all probability be the tedious, mundane duties, like analytics, that the majority of us aren’t notably passionate about anyway.

‘The reality is that though AI can doubtlessly automate sure duties and enhance effectivity, it’s unlikely to utterly change advertising groups for the foreseeable future.’

There are causes to imagine that AI is right here to resolve duties and can by no means change human groups in advertising. Naturally, advertising leaders have the problem of convincing groups that their jobs are secure.

9. AI Bias

AI bias is a problem that the majority entrepreneurs ought to pay attention to.

In the end, AI will all the time be biased as a result of people are biased. Advertising and marketing leaders must have a plan to rise to the problem of groups inputting bias right into a system.

Bias is a severe consideration and challenges for enterprise, and the affect of information bias might be severe. DataRobot’s 2022 survey discovered that the affect of information bias can lead to as a lot as 62% misplaced income.

DataRobot’s 2022 survey found that the impact of data bias can result in as much as 62% lost revenue

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10. Retaining Up with New Developments and Applied sciences

The sector of AI is continually evolving, and it’s rising quick. Entrepreneurs can really feel overwhelmed maintaining with the newest traits and applied sciences.

It’s laborious to know what to attempt, prioritize, and make investments your time into. This problem is especially overwhelming in case you have enterprise heads pushing your staff for extra.

12 Suggestions for Implementing AI

Okay, now we all know what a number of the largest challenges are, let’s learn the way to beat them in a approach that helps you attain your advertising goals whilst you reap all of the AI advantages you’ve heard a lot about.

Listed below are 12 suggestions that will help you just do that.

tips for implementing AI

1. Implement AI insurance policies.

Dan Robinson, Head of Advertising and marketing and e-Commerce at instantprint, recommends that companies implement and implement AI insurance policies to assist easy AI implementation.

The options he‘s built-in into instantprint’s AI implementations embody:

“Workers should adhere to the rules we‘ve set out. We nurture an setting of belief but additionally present our staff with the foundations and laws they want to concentrate on to make use of these instruments successfully and safely. Our ‘AI Code of Conduct’ is about out by every platform we use, with do’s and do not for every instrument.

“We need to make our AI coverage a collaborative area. These utilizing AI and different fashions will get to know the platforms in nice element. Making insurance policies a shared effort implies that we’re extra prone to have guidelines that may work for our staff, developed by our staff, except authorized and moral frameworks as a regular.”

What we like: Robinson doesn‘t deny the significance of AI insurance policies which might be authorized and moral however doesn’t cease the staff from including their ideas. With a collaborative effort to develop insurance policies, you’re extra prone to get buy-in from staff members.

2. Begin with low-risk AI implementations.

Rosella Dello Ioio, Head of Content material at Enate, says, “Companies needs to be clearly defining the information they will and may’t share with private and non-private AI fashions. Think about hiring a Chief AI Officer to take the lead on safety and governance throughout the enterprise.

“As soon as the foundations round these challenges have been clearly established, start rolling out GenAI in your advertising division by figuring out all of the folks whose job includes creating (writing, designing, and constructing) and allow them to discover one of the best AI co-pilot for his or her duties.

Artistic roles resembling Copywriting and Graphic Design are comparatively low-risk by way of delicate knowledge versus a CRM Supervisor who desires to make use of GenAI to research buyer suggestions and complaints.

Check and procure low-risk instruments to help these artistic people in boosting productiveness and slashing the time spent on mundane duties whereas guaranteeing governance protocols are adhered to.”

What we like: It is justified for entrepreneurs to be involved about knowledge and evaluation by AI instruments, however Dello Ioio has discovered an answer that permits advertising leaders to start out implementing AI in a approach that feels manageable and secure.

Typically, step one is essentially the most difficult, and as soon as leaders get rolling with AI, they might be impressed to attempt extra.

Take a look at HubSpot’s AI content material assistant for low-risk AI experimentation. It’s free to demo, and you’ll write content material, create emails, touchdown pages, and extra.

HubSpot's AI content assistant

3. Leverage AI alongside your current tech stack.

Cassey Bowden, Director of Advertising and marketing at Promet Supply, recommends that advertising leaders contemplate new AI instruments with current tech and your proficient staff.

She says, “When used successfully together with different instruments and expertise of our respective groups, the door is huge open for prospects. I’d encourage of us to take a look at AI as an assistive instrument of their digital toolbox.

Those that will see one of the best outcomes and understand essentially the most advantages of AI, in my view, will likely be those that view this tech by way of a Venn diagram lens. Leveraging this tech alongside along with your current tech stack along with your expert staff, the place these overlap, is the place we’ll discover success.”

What we like: Bowden’s tip might assist advertising leaders shut the hole on challenges that hamper creativity. If AI is used as well as to your expert staff, then there’s every little thing to achieve by way of collaboration.

Think about taking one of the best of AI and one of the best of that all-important human contact and discover the areas the place they will finest help one another.

4. Discuss to your staff.

Communication is, after all, every little thing! In terms of AI, advertising leaders can eradicate a number of AI challenges with staff buy-in and communication.

Jessica Packard, Content material Technique Supervisor at ClockShark, discovered that some reassurance allowed her staff to see AI for what it’s; a advertising instrument that may help their workflow.

Packard says, “Initially, my staff of copywriters was apprehensive about how AI might doubtlessly change their work within the group.”

She continues, “The worry was comprehensible, but it surely was necessary to reassure them that the AI instruments are nonetheless underdeveloped they usually can’t create copy that efficiently engages readers on an emotional stage as people do.

It’s additionally necessary to point out them how leveraging AI might be helpful to their work, from brainstorming content material concepts to assist writing artistic titles and meta descriptions.”

Montse Cano, Worldwide search engine marketing & Digital Advertising and marketing Advisor at Montserrat Cano, shared comparable suggestions for overcoming AI challenges. She follows a set of questions and makes use of AI in a approach that helps groups.

She shares her course of, “We establish what wants now we have in our staff that we might meet by utilizing AI. Is it code era, textual content content material concepts, or photographs? Then, assess present assets to check and validate outputs, i.e., do we’d like any coaching, rent another person.”

Johannes Larsson, Founder and CEO at Johannes Larsson, provides to the significance of communication with an onus on common comms and empowerment.

Larsson says, “We commonly talk with our staff about the advantages of AI and the way it can empower them slightly than threaten them. We additionally purpose to offer coaching and assets to assist them develop new expertise and develop their data in areas the place AI is concerned.”

What we like: It may appear easy to recommend communication, but it surely’s simply forgotten whenever you’re all busy at work. Cano, Packard, and Larsson have acknowledged the why behind staff challenges and really helpful how one can resolve this problem by way of communication, reassurance, and future coaching.

5. Check AI along with your staff.

According to the significance of speaking to your staff, Kevin Miller, co-founder and CEO of GRO, encourages entrepreneurs to enhance their workflow effectivity with AI.

He began with a strong purpose, bettering his staff’s effectivity by 400%, and labored together with his staff to doc AI success.

Miller shares his story, “We experimented with ChatGPT earlier this 12 months to enhance writing effectivity for long- and short-form content material creation.

For our purchasers, we need to produce the highest-quality work potential to assist them develop their area authority and on-line site visitors, so automation was a pure technique to pursue that purpose. That being mentioned, it isn’t a one-stop-shop instrument.”

He continues, “Aiming to enhance workflow effectivity by 400% by leveraging AI instruments, we requested writers to adapt their workflows and provides suggestions on how effectively ChatGPT helped enhance their writing and deliverability.

Though we didn’t hit these marks due to many pure obstacles and limitations of the software program, we elevated workflow effectivity by 200% by way of content material templates and analysis help.

ChatGPT is improbable for content material era and evaluation, however can‘t do the work alone. It’s nonetheless part of lots of our writers’ workflows to make use of as they see match, and I’m assured that it’s going to proceed to develop in capability and use.”

What we like: Miller and his staff have experimented with ChatGPT and actively discovered that AI can enhance staff effectivity. We particularly like the extent of involvement Miller’s staff had in AI experimentation.

Together with his staff reporting again on their AI suggestions, we really feel Miller was extra prone to get buy-in from staff members.

6. Get your processes locked down.

Adam Smith, founding father of The Content material Machine, has mastered AI prompts. His check web site was simply 30 days outdated and boasted over 36,000 clicks and over 1 million impressions. All of his content material was created utilizing AI.

Adam Smith, founder of The Content Machine, has mastered AI prompts. His test website was just 30 days old and boasted over 36,000 clicks and over 1 million impressions. All of his content was created using AI.

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Smith says, “I’m utilizing completely un-edited AI content material, straight from ChatGPT. There is a huge false impression that AI content material is garbage or rubbish.

Nonetheless you may create useful content material in the event you get your ChatGPT processes locked down! You are not going to be creating high-quality content material with ‘write me a 1,500 phrase article on x matter’ sort prompts.”

In accordance with Smith, there’s extra you are able to do to enhance the standard of content material, he advises you, “Add distinctive photographs, add inner hyperlinks to different contextually related weblog posts, add as a lot schema as potential, and embed associated YouTube movies.”

What we like: With a well-thought-out prompting course of, Adam Smith has proved that AI content material might be useful, and it might rank. (And it’s even higher when the information backs up the claims.)

7. Discover the areas the place AI is only.

Utilizing AI would not should be an all-or-nothing situation. You could find the alternatives or duties that AI is most able to fixing; then you are able to do the remainder.

Sara Cooper, Director of Net Technique at SimPRO, discovered that her staff discovered AI most helpful at producing headlines or sections of copy.

Copper says, “One of many largest challenges has been feeding AI the correct directives to get the output we’re on the lookout for and studying to not ask for an excessive amount of from AI upfront.

For instance, because the staff has began to leverage AI to generate extra content material throughout our web site, it‘s clear that it’s only when supporting the personalization of headlines or sections of copy slightly than producing entire touchdown pages from scratch.”

Jessica Ruane, Senior Content material Supervisor at Beekeeper, echoes Cooper. Ruane says, “A giant problem that surrounds AI is successfully using it in Content material Advertising and marketing. Corporations are positively utilizing AI to various levels in the course of the content material creation course of.

Some could also be totally writing content material with using AI, whereas others are using it for analysis and inspiration. One of the simplest ways to implement AI in content material is — slowly. Concentrate on the ‘voice’ that you simply’d like to make use of, and experiment with rewriting phrases to get began.”

What we like: Ruane and Cooper agree that there’s a spot for AI in content material writing. Equally, they’re each seeing the function of AI range primarily based on what entrepreneurs discover extra helpful. Think about using AI for various duties and discover what works for you and your staff. AI doesn’t have to jot down every little thing.

8. Experiment fastidiously.

Sofia Inga Tyson, search engine marketing Content material Editor at Juro, resolves the AI problem of high quality and model with cautious experimentation and full disclosure to key stakeholders.

Tyson says, “There are definitely issues about using AI in content material methods diluting the standard and general authority of the web site.

Companies are sometimes eager to experiment with AI to scale their content material manufacturing however content material writers are naturally fearful that AI-generated content material at scale may have a detrimental affect on the efficiency of current, expertly crafted content material.

I feel it’s actually necessary to handle stakeholder expectations on this regard and be certain that these dangers are disclosed to different decision-makers within the enterprise that may be encouraging this strategy for aggressive development.

I additionally suppose it’s necessary to be cautious about AI-generated content material as a result of the true affect received’t be felt instantly. It could possibly be months and even years earlier than the content material is evaluated negatively primarily based on the standard or use of AI.

Any experiments needs to be simply that – cautious, carefully monitored and saved at a scale meaning it may be reversed if wanted. I feel this strategy will convey a number of content material writers consolation because it demonstrates that you simply’re approaching using AI with warning, not carelessly jeopardizing the net presence you could have already.”

What we like: Tyson’s holistic strategy to AI covers model status, the staff, and stakeholders. She considers the will to leverage AI with the wants of the staff who use it. We love the reassurance for all concerned when experimentation is monitored fastidiously.

9. Monitor high quality and accuracy.

When you’re arrange and utilizing AI, you don’t need to neglect the all-important high quality test.

Annika Haataja, Head of search engine marketing at Seeker, says, “As you develop your use of AI, don‘t overlook to watch high quality and accuracy. Everyone knows that AI can typically make errors, which can damage adoption if groups don’t belief the outcomes.

Have folks assessment a pattern of AI output to catch errors, and empower them to think about their very own experience within the course of.”

What we like: Diligence round AI output might decline as groups turn into comfy with AI utilization. Haataja reminds us to remain conscious of high quality and accuracy as AI adoption scales, an necessary reminder for all of us.

10. Refine your knowledge sources.

Simon Brisk, Director at Click on Intelligence Ltd., discovered AI bias a problem. Curiously, they discovered higher knowledge as soon as his staff refined the information sources.

He says, “One vital problem we‘ve confronted at Click on Intelligence when integrating AI is guaranteeing knowledge integrity. AI fashions are solely pretty much as good as the information they’re skilled on. Inaccurate or biased knowledge can result in misguided advertising selections.

“For example, whereas analyzing consumer conduct for an e-commerce consumer, skewed knowledge initially instructed a choice for a particular product line. Solely after refining knowledge sources did we understand a extra holistic choice pattern, thereby recalibrating our advertising technique.”

What we like: Brisk’s expertise with AI bias exhibits the potential affect and the answer. By recalibrating knowledge sources, Click on Intelligence might recalibrate its advertising technique primarily based on dependable knowledge.

11. Keep aggressive.

The world of AI is creating quick. Chris Stott, Director at Seven Advertising and marketing, recommends staying forward of AI developments.

He says, “Staying forward of the competitors is paramount. It is important for us to persistently ship distinctive worth. This implies rigorously testing all AI software program to maintain us on the leading edge and assure that we offer top-tier outcomes to our purchasers.”

What we like: Incorporating AI into your methods might be thrilling and empowering. Testing AI from a spot of experimentation is an effective way to discover AI capabilities along with your staff. You’ll quickly get a really feel for what helps you and what you may stay with out.

12. Overcome knowledge integrity and alter administration.

Jessica Shee, Senior Tech Editor and Advertising and marketing Content material Supervisor at iBoysoft, shares the significance of overcoming knowledge integrity and alter administration.

She says, “Change administration and knowledge integrity are two vital obstacles to implementing AI in advertising. For correct AI-driven insights and decision-making, it’s important to make sure high-quality, pure knowledge.

Misaligned knowledge could cause inaccurate forecasts and ineffective advertising campaigns. Put money into knowledge cleaning, validation, and knowledge integration instruments to deal with this challenge.

Change administration is a further impediment. Integrating AI can disrupt current workflows and require staff members to accumulate new expertise. Clear communication about the advantages of AI and coaching staff members to domesticate acceptance and proficiency are vital for a easy implementation.

Working with AI consultants, integrating groups in decision-making, and beginning with trial tasks can assist combine AI whereas resolving difficulties. A scientific technique, continuous coaching, and clear communication guarantee a smoother transition and optimize AI advertising advantages.”

What we like: Shee acknowledges that you simply don’t should do every little thing alone. You possibly can usher in consultants and begin with trial tasks to assist help your staff by way of AI implementation challenges.

What’s stopping you from implementing AI?

Think about this: 70% of entrepreneurs contemplate it straightforward or considerably straightforward to measure the success of promoting automation, so give it a go.

Within the worst case, you‘ve run an experiment (and isn’t that what advertising is all about?), and in one of the best case, you have received the information to help the success of your AI endeavors. Getting buy-in out of your staff or stakeholders will likely be simpler once they know AI drives advertising goals.

Plus, with the highest suggestions from advertising leaders, you’ll begin with the very best insights to make AI and advertising an absolute success.

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