Making sense of genAI pricing in office apps
Generative AI has the potential to boost workplace productivity, automating tasks such as drafting emails and providing meeting summaries. But deciding how much businesses should pay to access these tools can be a conundrum for software vendors.
“This is untested technology, both in terms of what it can do and how you can monetize it,” said Craig Roth, a research vice president at Gartner. “What you see is vendors experimenting: they’re trying [to balance] actually making revenue off of this with trying to negotiate some market positioning and competitive advantage.”
In the months since OpenAI’s ChatGPT launched, large language models (LLMs) have been applied to many software tools, with collaboration and productivity apps seen as a key use case. Common capabilities include automated note-taking during meetings, summarization of text chat and email transcripts, email draft generation, advanced document search, and even image generation for presentation slides.