For B2B Generative AI Apps, Is Less More?
Summary
In this world, quality or correctness are not high priorities: It’s fun to have an AI model generate art or music you can share in a Discord channel, before you quickly forget about it. But we’ve subsequently seen that generative AI is less reliable for writing opinions or arguments (even when AI-generated content is compelling or confident, it’s often inaccurate), which are more valuable when it comes to innovation and collaboration in a B2B setting. A model might be able to generate usable SEO spam, but a blog post announcing a new product for software developers, for example, would require a fair amount of human refinement to ensure it’s accurate and that the message will resonate with the target audience. We believe LLMs will need to focus on synthesis and analysis — SynthAI — that improves the quality and/or speed of decision-making (remember our B2B diagram above), if not make the actual decision itself. Returning to our outbound sales email example, one potential manifestation is for AI to identify when a target account is at its highest level of intent (based on news reports, earnings calls, talent migration, etc.)
