In a recent LinkedIn post, Ada Mazurek explores the common pitfalls of relying too heavily on AI-generated pitch decks for startups, arguing that while seemingly efficient, these tools often mask a lack of genuine substance that can deter investors.
Mazurek shares a personal anecdote illustrating the time sink involved in refining AI output:
“My calendar said the AI-generated deck would take 20 minutes. 32 hours later, I was still fixing it by hand.”
This experience, Mazurek notes, is reflective of a broader trend she observes in her work. She highlights how many founders, particularly those new to fundraising, submit AI-generated decks that appear polished on the surface but lack the unique strategic depth required to capture investor attention.
The Four-Second Illusion of AI Decks
Mazurek details her experiment generating multiple pitch decks using different AI tools. While the superficial elements like fonts, colors, and layouts varied, she found a striking similarity in the underlying structure and design elements.
“Put them side by side and the illusion falls apart in about four seconds. Same shapes. Same icons. Same infographic style. Five outfits on one template.”
According to Mazurek, this uniformity is the core issue. Investors, who review numerous decks regularly, can quickly spot these templated approaches. This recognition, she argues, shifts their focus from the startup’s numbers and strategy to skepticism about other aspects of the business that may have been outsourced to AI prompts.
Client Data Reveals a Nuance in AI Adoption
Further substantiating her observations, Mazurek points to her company’s client data. She observes that tech founders who are most comfortable and experienced with AI are actually sending fewer raw AI-generated decks for refinement. These founders, she explains, possess the skills to effectively prompt and edit AI output to align with their unique brand and strategy.
In contrast, Mazurek notes that founders who are newer to the fundraising process are more likely to submit generic AI decks. These founders often struggle to understand why investors are not responding, despite the deck’s seemingly finished appearance.
“AI didn’t close that gap. It just made the gap look more finished on the surface.”
Mazurek emphasizes that AI can be a valuable tool for the initial drafting phase. However, she cautions against mistaking a visually complete AI-generated deck for one that is truly investor-ready. The time saved in the initial generation is often offset by the extensive manual revisions needed to imbue the deck with genuine strategic value and originality.
The ‘Four-Second AI Test’
To help founders assess their decks, Mazurek proposes a simple test: compare your AI-generated deck side-by-side with those from competitors in your space. If the similarities become apparent within seconds, it indicates the deck may be too template-driven. She suggests that the 20 minutes AI might save in initial creation is a fraction of the time needed to make a deck truly stand out.
Mazurek concludes her post by offering a solution for those unsure about their deck’s originality and effectiveness, inviting them to book a review call to identify and fix template-driven elements that might be hindering investor interest.
📝 About This Content
This article is based on insights shared by Ada Mazurek on LinkedIn.
📅 Originally posted on September 10, 2026 | View original post on LinkedIn →