1、Generative AI In EnterpriseSoftwareExecutive Summary2023 was the pinnacle of generative artificial intelligence(genAI)hype,with one company afteranother announcing breakthroughs and product launches.However,as we begin 2024,thereality of existing hurdles on the path to mass adoption of AI in enterpr

2、ise software begins to setin.This report breaks down the current headwinds and tailwinds in the enterprise softwaresubsector,provides perspective on the pace of maturation,and highlights potential unforeseenissues that might arise this year in 2024.While recognizing the undeniable long-term secular

3、impact of the AI wave,winners may emergeat a slower cadence than market exuberance currently reflects.At AlphaSense,we see earlygenAI in enterprise software success stories taking shape in two routes:companies benefitingdirectly through the application of genAI tasks and companies leveraging genAI t

4、o enhance aninternal product offering.In 2024,well look for signals that AI features are becoming more tightly integrated into softwaresolutions and for potential vendor consolidation to achieve scale and innovation quickly.Its alsolikely that genAI-related products will displace current SaaS winner

5、s,a trend that has not yetsurfaced but is worth monitoring.We will explore the current and developing backdrop utilizingthe AlphaSense expert transcript library to better understand the maturation of genAI in theEnterprise Software space.2Generative AI Adoption in Enterprise SoftwareGenAI promises t

6、o be a disruptive force across several sectors over the coming years.Althoughspecifically within the software sector,capital expenditure(capex)considerations may translateto revenue expanding at a separate pace than recent stock price appreciation for enterprisesoftware companies.The sector is immat