3 Missteps with AI Image Generation and How You Should Be Using Them

For entrepreneurs, AI-generated imagery instruments open up new potentialities for content material personalization and marketing campaign engagement…however solely when utilized in strategic, focused methods.

AI-generated imagery platforms like Flux, Runway, and DALL-E have gotten a precious a part of advertising and marketing, design, and UX toolkits. However with all of the choices obtainable, it’s typically obscure the place and how these instruments really deliver worth — and the place they fall brief.

In a latest Advertising and marketing In opposition to the Grain episode, Kieran and I focus on frequent challenges groups face when utilizing AI picture instruments, sensible use circumstances for max efficiency, and greatest practices for integrating AI imagery into your workflow.

Three Key Challenges of AI-Generated Picture Adoption

AI picture era holds huge potential — however its adoption isn’t with out hurdles. Specifically, three challenges stopping widespread use that Kieran and I typically see are:

1. Hesitation on account of privateness and safety issues.

Staff hesitate to have interaction with AI instruments, typically on account of issues round privateness, information safety, and AI’s present limitations. Many additionally really feel that AI won’t but be “adequate” for his or her wants.

Addressing these issues begins with clear communication about AI’s strengths and limitations. When groups perceive the place AI can add worth — and the place it might probably’t — they’re extra prone to have interaction with it in a sensible manner.

2. Misaligned expectations.

Customers typically count on AI to “do all of it,” resulting in frustration when it falls brief, particularly for duties requiring precision. As Kieran identified, workers typically deal with AI as a “magic field,” which might set them up for disappointment.

By managing expectations and educating groups on how AI works greatest, entrepreneurs can shift focus towards the achievable, sensible makes use of that make an affect.

3. A necessity for guardrails.

With such broad potential, many individuals wrestle to seek out the appropriate purposes for AI. As Kieran highlighted in the course of the present, an outlined, structured method — like having clear AI prompts or focused use circumstances — helps ease adoption by giving workers a clearer sense of function.

Equally, utilizing guided prompts or simplified interfaces for particular duties could make it simpler for groups to discover AI with out feeling overwhelmed.

Three AI-Generated Picture Use Circumstances in Advertising and marketing

Regardless of these challenges, AI image tools can have a powerful affect when utilized to focused use circumstances. In our expertise, AI-generated imagery instruments can be utilized to:

1. Enhance advert efficiency.

For my part, one of the efficient purposes of AI-generated imagery is creating tailor-made advert variations. Customized pictures that intently align with particular advert copy assist entrepreneurs ship a extra personalised expertise throughout totally different platforms.

In our exams at HubSpot, we’ve seen that this method considerably boosts conversions, making it a useful software for effectively scaling our advert campaigns.

2. Enhance electronic mail engagement.

AI can even improve engagement in electronic mail advertising and marketing by producing distinctive pictures tailor-made to every message.

Mixed with AI-generated textual content, these visuals create a curated and related expertise for readers, including a layer of personalization that retains content material contemporary and will increase the prospect of connecting with audiences in a deeper, extra memorable manner.

This method works significantly properly when it is advisable to create distinct visuals for various segments or campaigns at scale.

3. Save time on modifying.

AI is equally precious for picture modifying, serving to entrepreneurs shortly regulate visuals to suit totally different viewers wants.

For instance, a expertise firm may use AI to change product screenshots by including a consumer’s brand or emphasizing particular options.

This tactic permits manufacturers to ship a extra personalised visible expertise with out the effort and time required for handbook edits, making it a strong possibility for scalable, audience-specific content material.

Greatest Practices for AI Picture Implementation

Maximizing the worth of AI-generated pictures means understanding the place and tips on how to use them. These pointers will hold your method sensible and results-focused.

✔ Outline clear use circumstances. Since AI could be overwhelming, outline particular purposes (like buyer assist or advert variations) the place it’s almost certainly to succeed, quite than making an attempt to use it universally.

✔ Give attention to quantity over perfection. AI excels at creating a number of variations quite than single “good” pictures. When you want one flawless picture, follow conventional strategies.

✔ Educate groups on AI’s strengths and limits. To enhance adoption, set clear expectations and supply steerage on the place AI is most useful, which may help deal with resistance on account of privateness and reliability issues.

✔ Maintain it genuine. Keep away from utilizing AI-generated pictures to signify actual individuals or prospects, as this might injury belief. Save AI imagery for conceptual or product-focused visuals.

To study extra about how advertising and marketing leaders can combine AI-generated imagery into their groups and workflows, try the full episode of Advertising and marketing In opposition to the Grain.

This weblog sequence is in partnership with Advertising and marketing In opposition to the Grain, the video podcast. It digs deeper into concepts shared by advertising and marketing leaders Kipp Bodnar (HubSpot’s CMO) and Kieran Flanagan (SVP, Advertising and marketing at HubSpot) as they unpack progress methods and study from standout founders and friends.