Workday’s Last Workday? AI and the Future of Enterprise Software...
a16z PodcastFull Title
Workday’s Last Workday? AI and the Future of Enterprise Software
Summary
This episode discusses the potential disruption of entrenched enterprise software like Workday by the advent of AI, exploring how this new platform shift creates opportunities for innovation and re-platforming.
The conversation highlights the limitations of current enterprise software in user experience and adaptability, contrasting it with the potential of AI-native solutions to fundamentally change how businesses operate.
Key Points
- Enterprise software giants like Workday, built on the previous cloud shift, face potential obsolescence as AI enables a new wave of innovation, creating significant market opportunities for insurgents.
- Current enterprise software, while functionally critical, often suffers from poor user experience, making tasks cumbersome and time-consuming, indicating a need for a fundamental redesign driven by AI.
- The transition from on-premise to cloud was a major platform shift that led to the dominance of companies like Workday; the current AI shift represents a similar, potentially more impactful, transformation.
- While Workday is making efforts to integrate AI, their current AI revenue appears to be more of a procurement innovation and internal accounting measure rather than a fundamental shift in user experience or functionality.
- An ideal AI-native enterprise software solution should be deployable rapidly, offer agent-first interactions, be open, secure, and compliant, fundamentally changing how work is done and how users interact with the system.
- HR software is positioned as a key indicator of societal and technological shifts, reflecting evolving employee expectations and workplace norms, making it a crucial vertical for AI-driven innovation.
- Established companies like Workday are aware of the threat and are actively working to adapt through internal development, layoffs, and acquisitions, signaling a high-stakes race for the future of enterprise software.
Conclusion
The current AI platform shift presents a significant opportunity to disrupt even the most entrenched enterprise software players by offering fundamentally better user experiences and capabilities.
Startups and established companies alike must embrace AI-native principles to build software that is faster to deploy, more intuitive to use, and more adaptable to evolving business needs.
The future of enterprise software, particularly in areas like HR, will be defined by how effectively AI agents can be integrated to transform daily workflows and provide intelligent insights.
Discussion Topics
- How can AI fundamentally change the user experience and core functionality of enterprise software like Workday?
- What are the key characteristics of an "AI-native" enterprise software solution, and how do they differ from traditional offerings?
- Given the historical "stickiness" of enterprise software, what will it take to convince large organizations to "rip and replace" their existing core systems in favor of AI-powered alternatives?
Key Terms
- SaaS
- Software as a Service, a software distribution model that licenses software on a subscription basis and is centrally hosted.
- PE ratios
- Price-to-Earnings ratios, a valuation metric used to compare a company's share price to its earnings per share.
- Gross Dollar Retention
- A metric that measures the percentage of revenue retained from existing customers over a period, excluding upsells.
- ITSM
- IT Service Management, a set of policies, standards, and practices for managing IT services to meet business needs.
- CRM
- Customer Relationship Management, a technology for managing all your company's relationships and interactions with customers and potential customers.
- ERP
- Enterprise Resource Planning, business process management software that allows an organization to use an integrated set of applications to manage the back end of its business.
- HCM
- Human Capital Management, a set of practices that deals with the acquisition, administration, and development of an organization's employees.
- Greenfield Strategy
- A strategy for new business development that involves starting from scratch without any existing constraints or influences.
- Brownfield Strategy
- A strategy for business development that involves working within existing structures or with established entities.
- ARR
- Annual Recurring Revenue, the predictable revenue a company expects to receive from its customers annually.
Timeline
Employees dislike interacting with Workday due to its poor user experience and complexity.
The a16z enterprise team is analyzing "obituaries" for established enterprise software companies, framing them as opportunities for innovation.
The last major technology shift was from on-premise to cloud, enabling companies like Workday to build their platforms.
Workday, while functional for core HR processes, offers a dated user experience that has not evolved significantly since its inception.
The current AI shift presents an opportunity to fundamentally change how core enterprise systems operate and are interacted with.
Workday is described as the "most important and least loved product in enterprise software" due to its critical function and poor user interface.
The platform shift that created Workday was the move to the cloud, and the current shift is towards AI-native businesses.
The podcast discusses the difficulty of building a new enterprise-ready HR system with feature parity, contrasting with the current AI capabilities.
While some startups like Deal and Gusto are building new HR systems, the opportunity lies in Greenfield and Brownfield approaches for entrenched markets.
Workday's business is highly defensible, but recent trends and the AI shift signal potential cracks, prompting this analysis.
Many enterprise software companies are reporting AI revenue, but some of this may be due to procurement innovations rather than genuine AI-driven functionality.
The true AI revenue for Workday is questioned, with the suggestion that current AI offerings are not yet delivering agented experiences.
The discussion shifts to what an AI-native Workday should look like, highlighting key properties for successful enterprise software.
AI-native systems can be deployed much faster and more affordably than traditional enterprise software implementations.
An AI-native HR system should empower HR teams to build and customize solutions easily, moving beyond costly, consultant-dependent customizations.
An "agent-first" approach is crucial for future enterprise systems, enabling natural interaction and data utilization.
Security, permissioning, and compliance are paramount for any new enterprise-ready platform.
HR software is presented as anthropologically salient, reflecting societal and technological progress and the impact of AI on workplace norms.
The race is on for the future of enterprise software, with established players like Workday fighting to maintain their position.
The adoption of AI in HR software is expected to illuminate the path forward for many businesses, moving from "dark" to "bright" adoption.
The podcast struggles to find a definitive "Workday song," with suggestions like "Hotel California" and "Work It."
Episode Details
- Podcast
- a16z Podcast
- Episode
- Workday’s Last Workday? AI and the Future of Enterprise Software
- Official Link
- https://a16z.com/podcasts/a16z-podcast/
- Published
- April 30, 2026