The trend: AI is shaking up the advertising industry with novel options for ideation, creation, market research, campaign optimization, and ad visibility tracking that are popping up from both Big Tech players and emerging startups. This presents a threat to agencies, which need to prove their value in the market as automation heats up.
Platforms are increasingly rolling out one-stop shops for ad deployment, featuring everything from simpler applications like genAI asset creation to more in-depth deployments like analytics suites and automated budgeting.
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Meta's AI Advantage+ suite includes features like brand-consistent automation (logos, fonts, color palettes), dynamic image-to-video generation, genAI product highlights, and voice-activated responses.
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Amazon Ads’ Creative Studio offers storyboard, tagline, and script generation, along with video and display ad production tools.
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Google is pushing the industry toward large-scale AI adoption with its expanding AI image-generation capabilities—including tools like Nano Banana Pro, which creates complex images in less than 10 seconds.
Meta CEO Mark Zuckerberg said that the base goal for these suites is for businesses to approach with their objective and budget and let tech companies take over the job.
The problem: These genAI tools put agencies at risk and potentially dissuade brands from working with and spending on agency work. The data tells the story.
- 83% of US marketing leaders would reduce spending on agencies if they could fully automate content creation, per Typeface, and 11% would stop using agencies entirely.
- 73% of teams that have adopted AI agents have already cut their content creation spending on agencies.
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91% of US senior agency leaders expect AI to reduce headcounts, and over half (57%) have slowed or paused entry-level hiring because of this trend, per Sunup.
The opportunity: Agencies aren’t dead, though. They still provide crucial resources outside straightforward content creation. The agencies that thrive in the AI era may be those with an effective value pitch for their expert guidance, human oversight, and distribution strategies.
What agencies and marketers should do: AI will be the biggest disruptor to the traditional agency model for the foreseeable future, requiring quick evolution to thrive amid the shift.
- Marketers should learn AI as a core competency to stand out in a landscape where their roles could appear less necessary. Knowing how to use AI tools to enhance creativity rather than replace it will help marketing professionals survive the shift.
- Training employees in how to use AI as an asset instead of a replacement will allow agencies to keep pace with a rapidly changing, AI-dominated landscape.
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