1、STATE OF AI AND ANALYTICS TRENDS IN SOFTWARE 2026REPORTTable of ContentsIntroductionMethodology03TREND 02Automation moves from testing to production10TREND 05The interface fades into the background3004TREND 03Trust,security,and compliance are make-or-break-for AI16What this means for product and dev

2、elopment leaders for 202634TREND 01Context is the currency of AI05TREND 04AI talent continues to evolve and be on the rise2402State of AI and Analytics Trends in Software 2026IntroductionEach year,we publish this report to help product and development leaders make sense of the fast-moving trends sha

3、ping the software industryespecially for those building in HR tech.As AI continues to rewrite each and every one of our playbooks,the pressure to keep pace with innovation,deliver real business value,and plan for whats next has never been greater.This report aims to cut through the noise and provide

4、 clear direction,rooted in what were seeing across our ecosystem and beyond.You may notice something different this year:weve dropped the“gen”from“genAI.”Why?Because AI has continued to evolveunsurprisinglyand it now encompasses far more than just generative use cases.From automation to agentic syst

5、ems to predictive insights,AI is no longer a standalone initiative or novelty.Its becoming foundational.Theres still no roadmap for whats nextand thats what makes this era so challenging and so full of promise.AIs acceleration hasnt slowed down,but its application has matured.There has never been a

6、more exciting time to build software.Vendors are now moving past early experimentation and into the hard work of scaling AI:proving ROI,integrating seamlessly with workflows,and delivering trusted results at speed.For all software vendors,the balancing act continues:navigating resource constraints w