Where NOT to Use AI in Your Marketing with John Sampogna

AI is now woven into almost every marketing conversation. Every week there is a new tool, workflow, agent, dashboard, automation hack, or “you have to see this” demo flying around LinkedIn.

For SMB owners and marketing directors, that creates a real problem.

You already have limited time, limited budget, and a team that is probably wearing seventeen hats, four helmets, and at least one emotional support hoodie. You need AI to make marketing easier, smarter, and more consistent. You also need to avoid turning your business into a science fair project with a Stripe account.

That is why I loved my conversation with John Sampogna, CEO and co-founder of Wondersauce, on the Human-First AI Marketing Podcast. John has worked with brands like Nike, Golf.com, Scotts, and Grubhub, and he brings a grounded agency-owner perspective to one of the most important questions in marketing right now:

Where should we avoid using AI? John’s answer was refreshingly practical. AI experimentation matters, especially for individuals learning what is possible. Inside a business, every experiment has a cost. Every shiny new tool pulls attention away from the work your company is already good at. John called this the “AI time suck,” where teams build impressive things that fail to solve a core business problem.

That idea should stop every business owner in their tracks.

AI is a power tool in the marketing workshop. A great saw can help you build faster. It can also help you ruin good lumber with remarkable confidence.

1. Start With Repeatable Work

John’s first big lesson was simple: look for the tasks your team does over and over again.

The best AI use cases often show up in the work happening 50 times a day, every Friday, or several times a month. Those repeatable tasks are where automation, AI workflows, and custom systems can create measurable time savings.

For SMB marketing teams, this might include:

• Summarizing sales calls
• Drafting first-pass social posts from a podcast
• Turning webinars into email follow-ups
• Creating campaign briefs
• Organizing customer feedback
• Building first drafts of landing pages
• Repurposing long-form content into short-form assets
• Pulling themes from reviews, testimonials, or support tickets

This is where AI shines. It can reduce the blank page problem. It can organize messy inputs. It can help your team keep up with the steady drumbeat of modern marketing.

The key is to start with the workbench, rather than the tool catalog.

Ask your team: “What are we doing repeatedly that drains time without requiring much original judgment?”

That is probably your first AI opportunity.

2. Protect the Work That Makes You Different

John and I kept coming back to a shared concern: when everyone has access to the same AI tools, the tools themselves stop being a source of differentiation.

That matters for marketing.

Your ideas, voice, brand, customer relationships, creative taste, and point of view are the parts of your business competitors struggle to copy. AI can support those areas, but leaders should be careful about handing them over completely.

John described how his creative teams use AI tools like Runway, Figma, and Weave to move from concept to storyboard to a polished 30-second spot much faster than before. The production value can arrive in days instead of months. The concepts, treatments, mood, collaboration, and creative direction still come from people.

That is the line SMBs need to understand. AI can help you produce the campaign. Your team still needs to know why the campaign should exist, who it serves, what it means, and how it should feel.

At Avenue9, this is the heart of Human-First AI Marketing®. Humans lead with customer understanding, brand voice, trust, and strategy. AI helps the team execute with more speed and consistency.

In workshop terms, AI can cut the boards. Humans still design the house.

3. Avoid 10X-ing a C+

This may have been my favorite line from the whole conversation.

John warned that without proper guardrails, teams can use AI to “10X a C+.”

That is a painfully accurate description of what is happening in a lot of marketing right now.

A mediocre message becomes ten mediocre emails.
A weak positioning statement becomes a full content calendar.
A generic sales pitch becomes a sequence of automated LinkedIn messages.
A confused strategy becomes a very busy dashboard.

AI multiplies the quality of the input. Strong strategy gets stronger. Weak strategy gets louder.

This is where SMBs can get into trouble quickly. Smaller teams often feel pressure to keep up with larger competitors, so they reach for AI as a shortcut. The danger is scaling before the foundation is ready.

Before using AI to increase output, ask:

• Is our positioning clear?
• Do we know who we are talking to?
• Have we defined our voice?
• Do we know what buyers actually care about?
• Do we have proof, stories, and trust signals?
• Can our sales team use this content in real conversations?

If the answer is fuzzy, start there. Fuzzy inputs create fuzzy outputs. AI just makes the fuzz arrive faster. Very efficient sweater manufacturing; very bad marketing.

4. Skill Still Matters

John used a great analogy in the episode. AI is like a golf club or a guitar. The tool is the same, but the output changes dramatically depending on who is holding it. A golf club in John’s hand and a golf club in Tiger Woods’ hand will produce very different results.

That matters because there is a popular assumption that AI democratizes everything.

It raises the baseline. It helps more people create acceptable first drafts, decent layouts, passable summaries, and workable concepts. The higher levels still require skill.

Great marketers will use AI to become sharper, faster, and more useful. Great designers will use AI to explore more options and communicate ideas more clearly. Great salespeople will use AI to prepare better conversations. Great leaders will use AI to think through decisions before they burn time, budget, and goodwill. AI raises the floor. Human expertise raises the ceiling.

For SMB leaders, that means training matters. Your team needs more than tool access. They need judgment, examples, standards, review processes, and a shared understanding of what “good” looks like for your business.

5. Be Careful Building Your Own AI Mothership

John also shared a useful story about a proprietary content engine his team explored building.

The idea was solid: create a contained, safe system using proprietary information to generate more individualized outputs. They built a proof of concept, but while they were building, major enterprise tools from companies like Adobe, Figma, and Runway kept improving. Eventually, the team realized the available tools were catching up to what they were trying to build, so they shifted back toward training the team and plugging specific workflow gaps.

This is a big lesson for SMBs. Most small and mid-sized businesses do not need to build the AI mothership.

You probably need better prompts, better context, better workflows, better brand documentation, better training, and cleaner handoffs between people and tools.

Custom AI can be powerful. It can also become a very expensive hobby wearing a strategy costume.

Before building anything proprietary, ask:

• Will this create a durable advantage?
• Can we solve 80% of the problem with tools we already use?
• Do we have the time to maintain it?
• Will our team actually adopt it?
• Is this solving a real bottleneck?

Many SMBs will get more value from creating a strong Human-First AI Marketing system around existing tools than from building custom technology from scratch.

6. Generic AI Outreach Burns Trust

John also talked about the AI-generated outreach flooding his inbox. He sees constant pitches for business development, hiring, GEO audits, and other services that are clearly automated. Many of those services are things he already knows how to do or has intentionally chosen to avoid.

That is the trust problem in one neat little inbox-shaped package.

AI makes it easier than ever to send more messages. Buyers are already developing a strong radar for generic automation. They can feel when the sender has no real context, no relationship, and no reason to be in their inbox.

Your advantage is often proximity. You know your customers. You know your market. You have real relationships, real stories, and real expertise. Sacrificing that for mass automated outreach can damage the very thing that makes your business work.

Use AI to prepare better outreach. Use it to research, summarize, personalize, and organize. Then bring human judgment back into the final message. A good outreach message should feel like someone paid attention.

7. CEOs Should Use AI to Think Better

One of the most useful parts of the conversation was John’s explanation of how he uses AI as a leader.

His biggest focus is deciding where the company should invest time. He works with executive leaders and discipline leads to figure out where AI creates the biggest opportunity. For him, the investment question is largely about time, because the tools are already available.

He also uses AI as a thinking partner. He talks through decks, interviews, client conversations, tough emails, and business challenges. He has his AI set up to be direct, concise, cynical, and willing to find flaws in his logic. That helps him organize his thoughts and identify where to focus.

That is a powerful model for SMB owners.

AI can help you:

• Prepare for a sales call
• Pressure-test a campaign idea
• Organize a messy strategic decision
• Draft a difficult client email
• Compare options before a team meeting
• Turn scattered thoughts into a clear plan
• Identify blind spots in your assumptions

This is a much better use of CEO time than using AI to micromanage everyone’s work or generate frontline assets because the tool makes it possible.

Your job as a leader is to improve direction, decision quality, and team capability. AI can help with all three when you use it as a thinking partner.

8. The AI Conversation Is Getting More Tactical

John expects AI to become more common, more embedded, and less novel. The conversation is already starting to shift from broad hype to specific challenges, practical tools, useful workflows, and measurable outputs. That is good news for SMBs because the opportunity is moving out of the circus tent and into the workshop, where real work gets done.

The companies that win will build practical systems around clear use cases. AI belongs in the parts of the marketing workshop where repeatable tasks, faster production, messy information, creative support, and thoughtful personalization create leverage. Humans stay in charge of the blueprint: brand voice, customer trust, creative taste, ethical judgment, strategic decisions, sales relationships, and differentiated ideas. That is the Human-First AI Marketing® path.

The Avenue9 Takeaway

The smartest SMBs will use AI with focus.

They will identify the repeatable work that drains their teams. They will protect the customer conversations, brand decisions, and creative judgment that make their business valuable. They will train their teams to use AI with taste, context, and guardrails. They will use AI to amplify authenticity rather than bury it under a pile of generic content.

AI is the power tool. Your strategy is the blueprint. Your people are the craft.

When those three work together, small and mid-sized businesses can market with big-brand capability while keeping the human connection that made their customers trust them in the first place.

If your team is experimenting with AI and struggling to separate leverage from noise, Avenue9 can help. Our Human-First AI Marketing® approach and A9^Factor Framework™ help SMBs clarify their voice, map the right workflows, and build practical AI marketing systems without burning bridges or blowing out the budget., and capability of a much bigger brand.