

Messaging becomes the moat as AI floods marketing content
Jun 17, 2025
Paramark News Desk

Credit: colabsoftware.com
Key Points
MJ Smith, CMO at CoLab, emphasizes the importance of strategy and messaging in differentiating brands as AI adoption increases for content creation.
AI-generated content output is ineffective without a clear strategy and understanding of customer needs.
AI can enhance team output without reducing headcount, serving as a tool to amplify existing talent.
Smith advises marketers to scrutinize their own spending as marketing budgets become more conservative.
With everyone using AI to speed up content production, strategy and messaging become the only differentiators. Output won't be a differentiator anymore.

MJ Smith
CMO
,
CoLab
Messaging is the new moat. AI has made content creation easy, but also saturated the field with repetitive, forgettable content. In a sea of more-of-the-same, curated branding is what separates the standouts from the scroll-bys.
MJ Smith, CMO at feedback and review automation startup CoLab, is helping teams rethink how they use AI—not just to create more, but to create with impact.
Substance, please: "With everyone using AI to speed up content production, strategy and messaging become the only differentiators," says Smith, CMO at CoLab. As AI levels the playing field, she argues, output alone no longer sets brands apart. The real advantage lies in a clear, compelling strategy—one that cuts through the noise and connects. "Output won't be a differentiator anymore," explains Smith.
Bots with benefits: "If you're using AI to pump out content and you don't understand the purpose of that content, the increased output won't help you," warns Smith. More isn’t inherently better, unless it’s grounded in strategy. "If you have a solid strategy, understand your customers, and can fine-tune AI-generated content based on that, the benefits are huge," says Smith.
Amplify the A-team: Smith sees AI not as a replacement, but as an amplifier. "AI is a tool that can scale the output of the best people on your team," she explains. In product marketing, that means shipping custom GPTs that help everyone stay on-message, without requiring a marketer to review every line.
For high-talent teams, this doesn’t mean cutting headcount. As Smith puts it, AI might simply "delay the need for future headcount," making it a smart way to stretch expertise further without sacrificing quality.
Face-to-face community building is one thing that can't be replicated with AI. Creating a real community is difficult, though, so I think we'll see a wave of brands undercommit and fail.

MJ Smith
CMO
,
CoLab
Audit thyself first: "The approach to marketing budgets is getting more conservative," says Smith. "It's not about doing more with less, but rather about making sure you understand and can justify all of your spending." Her advice: Start with your own line items. "As marketers, we should be scrutinizing our own spend first."
Press play: As AI floods the market with text, other formats are stepping into the spotlight. "Video and other types of content that are currently harder to use AI for will become differentiators—at least until AI catches up there, too," says Smith. Marketers are already leaning into these richer, more immersive formats to hold attention and stay ahead.
Commitment issues: Digital can scale, but it can’t substitute connection. "Face-to-face community building is one thing that can't be replicated with AI," says Smith. That’s why more brands are leaning into real-world engagement. But she offers a sharp warning: "Creating a real community is difficult, though, so I think we'll see a wave of brands undercommit and fail." Even in an AI-powered world, the brands that thrive will be the ones that invest—fully and authentically—in human connection.
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© 2025 Paramark, Inc.

Messaging becomes the moat as AI floods marketing content
Jun 17, 2025
Paramark News Desk

Credit: colabsoftware.com
Key Points
MJ Smith, CMO at CoLab, emphasizes the importance of strategy and messaging in differentiating brands as AI adoption increases for content creation.
AI-generated content output is ineffective without a clear strategy and understanding of customer needs.
AI can enhance team output without reducing headcount, serving as a tool to amplify existing talent.
Smith advises marketers to scrutinize their own spending as marketing budgets become more conservative.
With everyone using AI to speed up content production, strategy and messaging become the only differentiators. Output won't be a differentiator anymore.

MJ Smith
CMO
,
CoLab
Messaging is the new moat. AI has made content creation easy, but also saturated the field with repetitive, forgettable content. In a sea of more-of-the-same, curated branding is what separates the standouts from the scroll-bys.
MJ Smith, CMO at feedback and review automation startup CoLab, is helping teams rethink how they use AI—not just to create more, but to create with impact.
Substance, please: "With everyone using AI to speed up content production, strategy and messaging become the only differentiators," says Smith, CMO at CoLab. As AI levels the playing field, she argues, output alone no longer sets brands apart. The real advantage lies in a clear, compelling strategy—one that cuts through the noise and connects. "Output won't be a differentiator anymore," explains Smith.
Bots with benefits: "If you're using AI to pump out content and you don't understand the purpose of that content, the increased output won't help you," warns Smith. More isn’t inherently better, unless it’s grounded in strategy. "If you have a solid strategy, understand your customers, and can fine-tune AI-generated content based on that, the benefits are huge," says Smith.
Amplify the A-team: Smith sees AI not as a replacement, but as an amplifier. "AI is a tool that can scale the output of the best people on your team," she explains. In product marketing, that means shipping custom GPTs that help everyone stay on-message, without requiring a marketer to review every line.
For high-talent teams, this doesn’t mean cutting headcount. As Smith puts it, AI might simply "delay the need for future headcount," making it a smart way to stretch expertise further without sacrificing quality.
Face-to-face community building is one thing that can't be replicated with AI. Creating a real community is difficult, though, so I think we'll see a wave of brands undercommit and fail.

MJ Smith
CMO
,
CoLab
Audit thyself first: "The approach to marketing budgets is getting more conservative," says Smith. "It's not about doing more with less, but rather about making sure you understand and can justify all of your spending." Her advice: Start with your own line items. "As marketers, we should be scrutinizing our own spend first."
Press play: As AI floods the market with text, other formats are stepping into the spotlight. "Video and other types of content that are currently harder to use AI for will become differentiators—at least until AI catches up there, too," says Smith. Marketers are already leaning into these richer, more immersive formats to hold attention and stay ahead.
Commitment issues: Digital can scale, but it can’t substitute connection. "Face-to-face community building is one thing that can't be replicated with AI," says Smith. That’s why more brands are leaning into real-world engagement. But she offers a sharp warning: "Creating a real community is difficult, though, so I think we'll see a wave of brands undercommit and fail." Even in an AI-powered world, the brands that thrive will be the ones that invest—fully and authentically—in human connection.
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AI without insight is just chaos: Why marketers need to rediscover research
Jun 17, 2025
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AI
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Jun 9, 2025
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AI
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