Summary of Key Points
Although tools for creating PPTs using AI are becoming increasingly popular (from Silicon Valley's Gamma to Baidu Wenku's Intelligent PPT in China, with both large companies and startups competing in this field), they often present numerous challenges in practical use: the exported files may have chaotic formats, the content can be lackluster and uninspired, or the templates may be too rigid and unmodifiable. Even advanced AI models like ChatGPT and Claude struggle to handle these tasks effectively. Essentially, creating a high-quality PPT requires AI to simultaneously master three critical aspects: "content understanding," "visual aesthetics," and "format compatibility." Currently, no tool has successfully overcome all these challenges, meaning that professionals still have to rely on their own skills to produce professional presentations.
1. Format Compatibility Issues with AI-Powered PPTs
One of the most obvious problems with AI-generated PPTs is that they look great on the web but fail when exported. For example, Gamma creates beautifully formatted and stylish PPTs on the web, but when exported as PPTX files, issues such as font misalignment, layer collapse, and overlapping images occur, ruining the overall quality. Tests have shown that only about 30% of the exported files retain the original layout and design.
Domestic tools like Baidu Wenku's Intelligent PPT offer better export stability, but their design quality is often subpar, falling short of professional standards. This is due to the different format requirements of various software platforms (for instance, Gamma is designed for its own platform, while professionals typically use PowerPoint). It is extremely difficult for AI to handle such diverse formats efficiently.
2. Lackluster Content Generated by AI
AI-generated PPTs often consist of pre-made templates filled in with generic text generated by algorithms like GPT. While the software can provide an outline and a basic structure, the resulting content lacks depth and specificity. For instance, a "annual sales summary" PPT might include general statements like "significant performance growth" and "efficient team collaboration," without any supporting data or examples. Users have commented that such PPTs are either somewhat helpful (about 30%) or actively counterproductive (about 40%). A few tools, like Mita, try to improve the content quality by pulling from existing documents, but the resulting designs are still lacking in creativity.
3. The Dilemma of Rigid or Unattractive Templates
Some AI-based PPT tools use "intelligent" templates to automate the design process, but this can lead to inflexible and unappealing outcomes. For example, Beautiful.ai automatically adjusts the layout based on user input, but it may not allow for minor adjustments (like moving an image slightly or changing a title style). The assumption behind these tools is that most users are not as skilled at designing PPTs as AI, which turns the user's role from a collaborator into a passive recipient of the final design. Additionally, the aesthetic preferences of AI-generated templates tend to be uniform (e.g., using Morandi or cyberpunk styles), which can become tiresome over time.
In China, WPS AI is integrated into the WPS software, but the resulting PPTs are fairly basic and lack innovation. Neither embedded AI solutions nor standalone tools have successfully addressed all the requirements of professional PPT creation.
4. Challenges Faced by Generalized AI Models
Even advanced AI models like ChatGPT and Claude struggle with creating PPTs. Using these tools often requires detailed instructions, and the resulting files may require additional processing (e.g., converting to PDF format or designing as an HTML website first). While they are good at handling multiple tasks, their capabilities are not well-suited for PPT creation. This is because PPTs require a combination of content organization, visual presentation, and format compatibility, which AI models typically handle separately.
5. The "Impossible Triangle" of Core Abilities Required by AI for PPT Creation
Creating a good PPT requires AI to possess three essential capabilities:
- Model Understanding: The ability to interpret the structure and meaning of content (e.g., headings and charts in PDF files).
- Technical Skills: Compatibility with various file formats (PowerPoint, PDF, etc.).
- Design Sensibility: The ability to create visually appealing layouts and color schemes that match user preferences.
These three aspects are highly interdependent and difficult to balance simultaneously. For example, some tools may have a good design but poor format compatibility, while others may offer stable exports but lack stylish designs. No tool currently meets all these criteria, leaving professionals with the task of refining PPTs manually.
Conclusion
The enthusiasm for AI in PPT creation reflects the practical difficulties faced by professionals. For AI to truly replace human efforts in this area, it must first overcome significant challenges in content understanding, visual aesthetics, and format compatibility. In the short term, users will likely continue to rely on their own skills to produce professional presentations.