{"id":542,"date":"2024-11-14T12:00:00","date_gmt":"2024-11-14T12:00:00","guid":{"rendered":"https:\/\/internship.infoskaters.com\/blog\/2024\/11\/14\/3-missteps-with-ai-image-generation-and-how-you-should-be-using-them\/"},"modified":"2024-11-14T12:00:00","modified_gmt":"2024-11-14T12:00:00","slug":"3-missteps-with-ai-image-generation-and-how-you-should-be-using-them","status":"publish","type":"post","link":"https:\/\/internship.infoskaters.com\/blog\/2024\/11\/14\/3-missteps-with-ai-image-generation-and-how-you-should-be-using-them\/","title":{"rendered":"3 Missteps with AI Image Generation and How You Should Be Using Them"},"content":{"rendered":"<p>For marketers, AI-generated imagery tools open up new possibilities for content personalization and campaign engagement\u2026but only when applied in strategic, targeted ways.<\/p>\n<p>AI-generated imagery platforms like <a href=\"https:\/\/www.flux.ai\/p\">Flux<\/a>, <a href=\"https:\/\/runwayml.com\/\">Runway<\/a>, and <a href=\"https:\/\/openai.com\/index\/dall-e-2\/\">DALL-E<\/a> are becoming a valuable part of marketing, design, and UX toolkits. But with all the options available, it\u2019s sometimes difficult to understand <em>where<\/em> and <em>how <\/em>these tools actually bring value \u2014 and where they fall short.<\/p>\n<p><a class=\"cta_button\" href=\"https:\/\/www.hubspot.com\/cs\/ci\/?pg=b72f2b25-8cc9-4642-9a1b-1e675d3d273b&amp;pid=53&amp;ecid=&amp;hseid=&amp;hsic=\"><\/a><\/p>\n<p>In a recent <em>Marketing Against the Grain<\/em> <a href=\"https:\/\/youtu.be\/lboO2AG1014\">episode<\/a>, Kieran and I discuss common challenges teams face when using AI image tools, practical use cases for maximum performance, and best practices for integrating AI imagery into your workflow.<\/p>\n<h2>Three Key Challenges of AI-Generated Image Adoption<\/h2>\n<p>AI image generation holds <em>massive<\/em> potential \u2014 but its adoption isn\u2019t without hurdles. In particular, three challenges preventing widespread use that Kieran and I often see are:<\/p>\n<h3>1. Hesitation due to privacy and security concerns.<\/h3>\n<p>Employees hesitate to engage with AI tools, often due to concerns around privacy, data security, and AI\u2019s current limitations. Many also feel that AI might not yet be \u201cgood enough\u201d for their needs.<\/p>\n<p>Addressing these concerns starts with<strong> clear communication about AI\u2019s strengths and limitations<\/strong>. When teams understand where AI can add value \u2014 and where it can\u2019t \u2014 they\u2019re more likely to engage with it in a realistic way.<\/p>\n<h3>2. Misaligned expectations.<\/h3>\n<p>Users often expect AI to \u201cdo it all,\u201d leading to frustration when it falls short, especially for tasks requiring precision. As Kieran pointed out, employees sometimes treat AI as a \u201cmagic box,\u201d which can set them up for disappointment.<\/p>\n<p>By <strong>managing expectations and educating teams on how AI works best<\/strong>, marketers can shift focus toward the achievable, practical uses that make an impact.<\/p>\n<h3>3. A need for guardrails.<\/h3>\n<p>With such broad potential, many people struggle to find the right applications for AI. As Kieran highlighted during the show, a defined, structured approach \u2014 <strong>like having clear AI prompts or targeted use cases <\/strong>\u2014 helps ease adoption by giving employees a clearer sense of purpose.<\/p>\n<p>Similarly, using <strong>guided prompts or simplified interfaces<\/strong> for specific tasks can make it easier for teams to explore AI without feeling overwhelmed.<\/p>\n<h2>Three AI-Generated Image Use Cases in Marketing<\/h2>\n<p>Despite these challenges, <a href=\"https:\/\/blog.hubspot.com\/marketing\/best-ai-image-generator\">AI image tools<\/a> can have a strong impact when applied to targeted use cases. In our experience, AI-generated imagery tools can be used to:<\/p>\n<h3>1. Boost ad performance.<\/h3>\n<p>In my opinion, one of the most effective applications of AI-generated imagery is creating tailored ad variations. Custom images that closely align with specific ad copy help marketers deliver a more personalized experience across different platforms.<\/p>\n<p>In our tests at HubSpot, we\u2019ve seen that this approach significantly boosts conversions, making it an invaluable tool for efficiently scaling our ad campaigns.<\/p>\n<h3>2. Increase email engagement.<\/h3>\n<p>AI can also increase engagement in email marketing by generating unique images tailored to each message.<\/p>\n<p>Combined with AI-generated text, these visuals create a curated and relevant experience for readers, adding a layer of personalization that keeps content fresh and increases the chance of connecting with audiences in a deeper, more memorable way.<\/p>\n<p>This approach works particularly well when you need to create distinct visuals for different segments or campaigns at scale.<\/p>\n<h3>3. Save time on editing.<\/h3>\n<p>AI is equally valuable for image editing, helping marketers quickly adjust visuals to fit different audience needs.<\/p>\n<p>For example, a technology company might use AI to modify product screenshots by adding a client\u2019s logo or emphasizing specific features.<\/p>\n<p>This tactic allows brands to deliver a more personalized visual experience without the time and effort required for manual edits, making it a powerful option for scalable, audience-specific content.<\/p>\n<h2>Best Practices for AI Image Implementation<\/h2>\n<p>Maximizing the value of AI-generated images means knowing where and how to use them. These pointers will keep your approach practical and results-focused.<\/p>\n<p><strong>\u2714 Define clear use cases<\/strong>. Since AI can be overwhelming, define specific applications (like customer support or ad variations) where it\u2019s most likely to succeed, rather than trying to apply it universally.<\/p>\n<p><strong>\u2714 Focus on volume over perfection. <\/strong>AI excels at creating multiple variations rather than single \u201cperfect\u201d images. If you need one flawless image, stick with traditional methods.<\/p>\n<p><strong>\u2714 Educate teams on AI\u2019s strengths and limits<\/strong>. To improve adoption, set clear expectations and provide guidance on where AI is most beneficial, which can help address resistance due to privacy and reliability concerns.<\/p>\n<p><strong>\u2714 Keep it authentic<\/strong>. Avoid using AI-generated images to represent real people or customers, as this could damage trust. Save AI imagery for conceptual or product-focused visuals.<\/p>\n<p>To learn more about how marketing leaders can integrate AI-generated imagery into their teams and workflows, check out the <a href=\"https:\/\/youtu.be\/lboO2AG1014\">full episode<\/a> of <em>Marketing Against the Grain<\/em><em>. <\/em><\/p>\n<p><em>This blog series is in partnership with Marketing Against the Grain, the video podcast. It digs deeper into ideas shared by marketing leaders Kipp Bodnar (HubSpot\u2019s CMO) and Kieran Flanagan (SVP, Marketing at HubSpot) as they unpack growth strategies and learn from standout founders and peers.<\/em><\/p>","protected":false},"excerpt":{"rendered":"<p>For marketers, AI-generated imagery tools open up new possibilities for content personalization and campaign engagement\u2026but [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":543,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-542","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/posts\/542","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/comments?post=542"}],"version-history":[{"count":0,"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/posts\/542\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/media\/543"}],"wp:attachment":[{"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/media?parent=542"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/categories?post=542"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/internship.infoskaters.com\/blog\/wp-json\/wp\/v2\/tags?post=542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}