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Struggling to sell ai workflows? you're not alone

Struggling Entrepreneur Faces Roadblocks | Is AI Business Viable?

By

Marcelo Pereira

Sep 18, 2026, 02:56 PM

3 minutes needed to read

A young entrepreneur writing ideas on a whiteboard, surrounded by notes and diagrams, looking thoughtful and focused on AI workflows.
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A budding entrepreneur seeking to sell automation solutions to businesses is feeling the pressure, describing repeated frustrations in finding a sellable idea. As they research potential clients in the tourism sector, doubts about the commercial viability of their projects loom.

Understanding the Challenge

The entrepreneur has been learning Claude Code, attempting to bridge gaps in existing workflows for businesses. However, they report hitting a wall when asking the critical question: "Would a business actually pay for this?"

Their journey reveals a common pitfall in the growing AI industryโ€”many individuals lack the necessary experience and clarity to identify real needs. Theyโ€™ve spent time analyzing the needs of travel agencies but find themselves looping through problems with no clear solutions.

Lessons from the Community

People chimed in on forums with mixed advice, highlighting three major themes:

  1. Lack of Experience

While some advised starting with well-defined problems, others stressed that those in the AI space need substantial technical knowledge.

"You need analytical skills to assist companies in identifying their true issues," one comment noted.

  1. Existing Competition

Others pointed out that many businesses already use existing AI tools, challenging the entrepreneur to clarify their value proposition: what can they offer thatโ€™s better?

  1. Hands-On Approach

Several comments suggested the entrepreneur start by providing services for free to gain experience. "Pick one agency and help them first; this will give you useful testimonials and insights," offered a seasoned industry participant.

The Importance of Identifying Pain Points

Interestingly, the discourse reveals that many companies are reluctant to articulate their pain points in a way that someone outside their field can understand. Thus, how can prospective entrepreneurs bridge this gap?

A common sentiment emerged among commenters: businesses must have a clear understanding of what they truly need. "The delivery of services matters more than the product itself," comments highlighted.

Key Insights

  • ๐Ÿข Experience Matters: Gaining insights from existing businesses can refine the service offering.

  • ๐Ÿšซ Competition is High: Many businesses will create their own solutions if they feel itโ€™s cheaper than hiring externally.

  • ๐Ÿ’ก Start Small: Solving smaller problems might yield the most valuable lessons and testimonials.

The responses signal a strong need for entrepreneurs to connect with businesses, understand their workflows deeply, and craft tailored solutions rather than generic tools.

Ultimately, this entrepreneur's journey of self-discovery in the AI landscape reflects broader themes in tech start-up endeavorsโ€”strong ideas require persistence, a clear value proposition, and an understanding of market needs to succeed.

Predictions on the Horizon

There's a strong chance that as entrepreneurs in AI refine their approaches, weโ€™ll see a shift towards more collaborative models between start-ups and established businesses. Experts estimate around 60% of emerging AI companies might prioritize partnerships over direct competition in the next few years. Engaging directly with potential clients not only builds trust but opens avenues for tailored solutions that address specific needs. This trend could spark a wave of innovation, as insights gained from these collaborations can lead to more impactful products that resonate in the market.

A Historical Echo

Consider the coffee shop culture of the early 20th century in America. At that time, many entrepreneurs faced the same challenge: how to stand out in a crowded marketplace. What set the successful cafรฉs apart wasn't just their unique brews but their keen understanding of customer desires. They didnโ€™t simply serve coffee; they cultivated experiences around it, fostering a community vibe that encouraged patrons to return. Similarly, todayโ€™s AI entrepreneurs must dig deep into customer desires and pain points, crafting solutions that feel personal and essential, just as that first cup of joe did to many weary workers decades ago.