There’s literally not a day that goes by when we don’t hear the word GenAI. It’s not surprising that more vendors are emerging and the existing ones are implementing GenAI capabilities. In this rapidly evolving landscape of generative AI, vendors are increasingly seeing the GenAI component of their product under the microscope which creates some difficulties.  

As a vendor navigating this high-stakes environment, it is paramount to tread carefully, recognizing that the way you present your generative AI technology to the industry analysts could make you stand out or just be another one in the “AI bubble”. We have summarized three main pitfalls that you can easily fall into when you’re presenting GenAI solutions/capabilities to analysts. 

Firstly, beware the trap of over-promising. In your eagerness to impress, you might be tempted to make bold claims about your AI's capabilities. However, the eyes of industry analysts are trained to see beyond the hype. It's tempting to jump on every trend, claiming your AI can do it all. However, industry analysts are aware of the difference between genuine innovation and jumping on the bandwagon. If your AI capabilities are seen as merely following the hype without offering substantial, relevant solutions, you risk not only diminishing interest from analysts but also decreasing trust in your brand's ability to deliver meaningful innovation.

Secondly, the competition is increasing everyday and differentiation is difficult. As more players enter the field, the space is becoming increasingly crowded, making it harder to stand out. Analysts are bombarded with pitches, each claiming revolutionary capabilities- which we talked about above. In this environment, your presentation must be above technical showcases. You must articulate clearly how your technology addresses specific pain points that others don't. This isn't just about showcasing your AI's capabilities; it's about painting a picture of a world made better by your solution. Failing to do so risks your technology being seen as just another drop in an ocean of AI innovations, indistinguishable from the rest and easily overlooked. The anxiety here lies in finding and effectively communicating your unique value proposition in a sea of competitors.

Lastly, no one wants to live on a deserted island. A critical but often overlooked factor is how these technologies integrate with existing systems and workflows. Analysts are not just looking for innovation in a box; they seek solutions that can seamlessly blend into the complex ecosystems of their clients. Your presentation must therefore pivot towards demonstrating not just the novelty of your AI but its ability to integrate and interoperate within the broader technological landscape. The fear here is that your AI, no matter how advanced, could be perceived as an isolated solution, difficult to adopt and implement in real-world scenarios. This disconnect can lead to skepticism from analysts about the practical viability of your solution, casting doubts on its adoption and scalability. The challenge is to show that your generative AI is not just a shiny new object but a key that fits into the existing lock, unlocking new potentials for efficiency, creativity, and growth.

Presenting your generative AI technology to industry analysts requires a strategic approach that goes beyond the technicalities of what your AI can do. It demands a deep understanding of the market landscape, a clear articulation of how your technology addresses specific pain points in a way that others do not, and a demonstration of relevance that aligns with current and emerging trends.