> ## Content Index > Fetch the complete content index at: https://www.therecursive.com/llms.txt > Use this file to discover other available public pages before exploring further. # Your AI Pitch Deck Sounds Just Like All the Rest - URL: https://www.therecursive.com/your-ai-pitch-deck-sounds-just-like-all-the-rest/ - Published: 2026-11-03T08:00:00.000Z - Updated: 2026-11-03T08:00:00.000Z - Description: Venture capitalists are drowning in a "sea of sameness" as founders turn to AI for pitch decks. But is the technology the problem, or the thinking behind it? - Author: Yoana Stanislavova - Tags: Analysis, AI, pitch deck In a world where investors spend an average of just three minutes on a deck’s first pass, **blending in is a death sentence**. And for a growing number of funders, the use of unedited AI is becoming the biggest red flag of all. Nowdays founders can use AI to structure slides, refine their messaging, and turn rough ideas into professional-looking presentations with minimal effort. As these tools become more widely used, **pitch decks risk becoming increasingly similar** in both style and content. An inaccurate market-size estimate can be challenged during due diligence, but a deck that fails to communicate **what makes a company stand out** may never get that far. When the language, structure, and visuals follow familiar AI-generated patterns, a founder’s unique perspective can disappear. And generic presentation can make even a promising startup **easy to overlook**. ## Why AI decks look and feel identical One reason AI-generated decks can feel interchangeable is their reliance on **familiar presentation structures** and broadly applicable messaging. This can be useful for organizing information, but it becomes a limitation when the same formulas are applied to businesses with different markets, teams, and strategies. The result can be a deck that follows the conventions of a good pitch without making a convincing case for this particular company. This is particularly relevant when presenting the founding team. In his [LinkedIn post](https://www.linkedin.com/feed/update/urn:li:activity:7488623242405093376/?ref=therecursive.com), John Zeratsky highlights the importance of making deliberate choices when creating AI-generated presentations. At the pre-seed and seed stages, investors often pay close attention to the people behind the business and their ability to execute the idea. **A strong team slide goes beyond listing skills and experience**. It explains how the founders’ backgrounds connect to the problem, what they understand about the market, and why they are well placed to pursue the opportunity. The same principle applies to the rest of the deck. AI tools such as **Claude can help founders turn complex information into clear, well-structured slides**, but the content still needs to reflect the specifics of their business. A concise headline and clean layout can make an argument easier to follow. What makes it convincing is the **evidence behind** it and the reasoning that connects the pieces. > AI can help present that reasoning more clearly, but it cannot replace the work required to develop it. That requires founders to scrutinize what AI produces and make sure every claim can be backed up. **Market research, customer conversations, and tested assumptions** remain essential to building a credible investment case. AI can help present these findings clearly, but founders need to understand the evidence well enough to explain and defend it **when investors ask questions**. ## The value of a founder’s voice A founder’s voice emerges through the choices they make when telling their company’s story: which problem they focus on, what they believe the market is missing, and why they are convinced their approach can work. These decisions **give a pitch its character** and make it more than a polished presentation. ![](https://storage.ghost.io/c/b8/ae/b8aee878-7ddc-40ad-8f68-92a28c560560/content/images/2026/11/image-1.png) Source: Google Gemini In his[ LinkedIn post on AI-generated decks](https://www.linkedin.com/posts/musielak%5Fstop-using-ai-to-design-decks-your-ai-crafted-activity-7485964253552676864-BrXS?ref=therecursive.com), investor and entrepreneur **Borys Musielak** draws a useful distinction between using AI to speed up the work and letting it shape the creative decisions. Just as developers use GitHub Copilot to assist with coding, founders can use AI to refine their presentations while remaining responsible for the story they tell. In practice, this means deciding which insights deserve emphasis, what evidence supports the argument, and which visuals best represent the business. > **A founder's voice comes through in what they choose to emphasize**, while taste is reflected in what makes the final presentation feel coherent and specific to the company. When a polished deck can be generated in minutes, these choices matter even more. The time saved with AI can give founders more room to refine their argument and ensure the presentation reflects their own thinking. The goal is a deck that looks professional and gives investors a **clear sense of who the founders are** and why their company deserves attention. ## When AI writes the pitch and reads it too Founders can use AI to shape their pitch decks, while investors are also using it to review incoming presentations. A recent [Fast Company survey](https://www.fastcompany.com/91627159/vc-pitch-decks?partner=rss&utm%5Fsource=chatgpt.com) found that **72% of responding VCs use AI to review pitch decks**, often as part of a process that still involves human judgment. This creates a potential blind spot in the fundraising process: **The founder uses AI to present the story, and the investor may rely on AI to interpret it.** Somewhere between the two, the details that make a startup worth a closer look can get lost. A summary can capture a company’s business model, market size, and growth projections. It may be less effective at conveying why a founder sees an opportunity others have missed, what they have learned from speaking to customers, or what makes their approach different. These insights are often what distinguish one startup from another, yet they can be difficult to reduce to standardized slides or a short AI-generated summary. > The risk is that fundraising becomes easier to process but harder to differentiate. When founders use AI to make their stories more digestible and investors use it to process more decks in less time, both sides need to be careful **not to mistake a clear summary for a complete picture**. AI can help organize information, but the founder’s thinking and the investor’s judgment still need room to do their work. ## The right role for AI in a pitch deck AI can simplify the more time-consuming parts of preparing a pitch deck, from organising ideas and refining slide copy to presenting existing research more clearly. This leaves founders more time to focus on the substance of their pitch. The more important decisions, however, still depend on the people building the company. AI can suggest how to present a market opportunity, but the founder needs to understand why the opportunity matters and what makes their approach credible. It can refine a team slide, but it cannot decide which experiences best explain why this team is equipped to solve the problem. Those choices come from knowing the business, understanding the audience, and being clear about the case the company is making. A pitch deck is often an investor’s **first glimpse into how a founding team thinks**, what it understands about its market, and why it believes it can build something different. AI can help founders communicate that vision more clearly and spend less time on the mechanics of presentation. What makes the pitch compelling, however, is the thinking behind it: the insights, decisions, and conviction that make the opportunity worth paying attention to. The tools may help tell the story, but the story itself must come from the founders.