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

For entrepreneurs, AI-generated imagery instruments open up new prospects 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 helpful a part of advertising, design, and UX toolkits. However with all of the choices accessible, it’s typically obscure the place and how these instruments really carry worth — and the place they fall brief.

In a current Advertising In opposition to the Grain episode, Kieran and I talk about frequent challenges groups face when utilizing AI picture instruments, sensible use circumstances for optimum efficiency, and greatest practices for integrating AI imagery into your workflow.

Three Key Challenges of AI-Generated Picture Adoption

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

1. Hesitation attributable to privateness and safety considerations.

Staff hesitate to have interaction with AI instruments, usually attributable to considerations round privateness, information safety, and AI’s present limitations. Many additionally really feel that AI won’t but be “ok” for his or her wants.

Addressing these considerations begins with clear communication about AI’s strengths and limitations. When groups perceive the place AI can add worth — and the place it will possibly’t — they’re extra more likely to have interaction with it in a practical means.

2. Misaligned expectations.

Customers usually anticipate AI to “do all of it,” resulting in frustration when it falls brief, particularly for duties requiring precision. As Kieran identified, staff typically deal with AI as a “magic field,” which may 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 impression.

3. A necessity for guardrails.

With such broad potential, many individuals wrestle to search out the best functions 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 staff a clearer sense of goal.

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 Instances in Advertising

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

1. Enhance advert efficiency.

In my view, one of the crucial efficient functions of AI-generated imagery is creating tailor-made advert variations. Customized photographs that carefully align with particular advert copy assist entrepreneurs ship a extra personalised expertise throughout totally different platforms.

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

2. Enhance electronic mail engagement.

AI can even enhance engagement in electronic mail advertising by producing distinctive photographs 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 possibility of connecting with audiences in a deeper, extra memorable means.

This method works notably effectively when it’s essential create distinct visuals for various segments or campaigns at scale.

3. Save time on modifying.

AI is equally helpful for picture modifying, serving to entrepreneurs rapidly alter visuals to suit totally different viewers wants.

For instance, a know-how firm would possibly 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 guide edits, making it a robust choice for scalable, audience-specific content material.

Greatest Practices for AI Picture Implementation

Maximizing the worth of AI-generated photographs means realizing the place and use them. These pointers will hold your method sensible and results-focused.

✔ Outline clear use circumstances. Since AI will be overwhelming, outline particular functions (like buyer assist or advert variations) the place it’s almost certainly to succeed, somewhat than attempting to use it universally.

✔ Concentrate on quantity over perfection. AI excels at creating a number of variations somewhat than single “excellent” photographs. Should you want one flawless picture, stick to conventional strategies.

✔ Educate groups on AI’s strengths and limits. To enhance adoption, set clear expectations and supply steering on the place AI is most useful, which might help handle resistance attributable to privateness and reliability considerations.

✔ Hold it genuine. Keep away from utilizing AI-generated photographs to characterize actual folks or prospects, as this might injury belief. Save AI imagery for conceptual or product-focused visuals.

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

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