Workday’s Last Workday? AI and the Future of Enterprise Software
Workday’s Last Workday? AI and the Future of Enterprise Software
Podcast29 min 13 sec
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Note: AI-generated summary based on third-party content. Not financial advice. Read more.
Quick Insights

Investors should closely monitor Workday (WDAY) for any dip in its 97% gross retention rate, as a decline would signal that its "rip and replace" moat is finally failing against AI-native competitors. While Workday, Salesforce (CRM), and ServiceNow (NOW) remain entrenched, their high P/E ratios are at risk if they cannot prove that their "agentic" AI pivots provide genuine operating leverage. A major shift is occurring toward "Agent-First" architecture; look for emerging "insurgents" like Deel or Gusto that use AI to drastically reduce implementation timelines from months to weeks. The most actionable strategy is to favor software companies that automate data migration and compliance, as speed of deployment is becoming the new competitive gold standard. For those with private market access, watch Mercury and Sana as they disrupt traditional banking and HR categories by building on modern, AI-ready stacks rather than legacy cloud architecture.

Detailed Analysis

Workday (WDAY)

Workday is described as the "most important and least loved" product in enterprise software. While it remains the gold standard for Human Capital Management (HCM) with a 97% gross dollar retention rate, it is facing a potential "platform shift" driven by AI that could threaten its long-term dominance.

  • The "Hostage" Dynamic: Large enterprises are often viewed as "hostages" to Workday because the cost and complexity of "ripping and replacing" the system are historically massive (often taking 12+ months).
  • Outdated Architecture: The system is built on 20-year-old architecture designed for the shift from on-premise to cloud, not for the modern AI era.
  • User Experience Friction: There is significant dissatisfaction with the user interface; simple tasks (like finding compensation data) can take several minutes, leading to low employee engagement.
  • AI Revenue Skepticism: The podcast suggests Workday’s reported AI revenue (approx. $400M ARR) may be more of a "procurement innovation" (flex credits) rather than true agentic AI transformation.

Takeaways

  • Monitor Retention Rates: As long as gross dollar retention remains near 97%, the "moat" is intact. Any dip in this metric would be a major bearish signal.
  • Watch the "Rip and Replace" Timeline: If AI-native competitors can prove they can migrate a Fortune 500 company in 30–60 days (vs. the current 12 months), Workday’s defensibility drops significantly.
  • Incumbent vs. Insurgent: Workday is fighting back by acquiring companies like Sana and bringing back founders to lead AI efforts. Investors should weigh whether Workday can "bolt-on" AI faster than startups can build "core" HR features.

Salesforce (CRM) & ServiceNow (NOW)

These companies are grouped with Workday as "entrenched incumbents" that are seeing the first "cracks" in their defensibility due to AI.

  • Platform Shifts: Just as cloud transformed enterprise software in the 2000s, AI is creating a new opportunity to rethink these systems.
  • Shift to "Headless" and Agents: Mention of Salesforce’s move toward "headless" systems and agentic workflows as a defensive/offensive pivot to stay relevant.

Takeaways

  • Sector Risk: High price-to-earnings (P/E) ratios for traditional SaaS may be at risk if they cannot prove AI-driven operating leverage.
  • The "Brownfield" Opportunity: Investors should look for startups targeting "Brownfield" opportunities (replacing existing systems) rather than just "Greenfield" (new markets), as AI makes replacement more feasible.

Deel, Gusto, and Mercury

These private "insurgent" companies are mentioned as players currently innovating in the HR, payroll, and banking spaces.

  • Deel: Highlighted as a potential partner for future AI-native HR systems rather than a direct "Workday killer" in the enterprise core.
  • Gusto: Noted for its "Greenfield" strategy, though the discussion suggests the real "big prize" is moving into the enterprise space currently held by Workday.
  • Mercury: Cited as an example of a company successfully disrupting a traditional category (Banking) through a better technology stack.

Takeaways

  • Private Market Watch: For those with access to private markets or following fintech/HR-tech trends, these companies represent the "new guard" that may eventually IPO to challenge the legacy giants.

Investment Theme: AI-Native Enterprise Software

The core thesis of the discussion is that we are entering a "re-platforming" phase of the entire enterprise software stack.

Key Investment Insights:

  • Implementation Speed as a Moat: The new "gold standard" for software will be how fast it can be deployed. AI-native businesses that use agents for data migration and implementation have a massive competitive advantage.
  • Agent-First Architecture: Future winners will likely be "Agent-First," where software is designed for AI agents to perform tasks on behalf of humans, rather than just providing a portal for humans to click through.
  • The "Workbench" Concept: Look for investments in software that allows internal teams to build their own custom logic and apps without needing expensive external consultants.
  • Verticals to Watch:
    • ITSMS (IT Service Management)
    • CRM (Customer Relationship Management)
    • HR/HCM (Human Capital Management)

Risk Factors

  • Regulation and Compliance: HR is a heavily regulated space. Any "insurgent" AI company must prove it can handle global compliance and security as well as the incumbents.
  • Incumbent Resilience: Companies like Workday have massive "kinetic energy" and deep pockets to acquire their way out of obsolescence.
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Episode Description
Elena Burger speaks with Joe Schmidt, partner on the enterprise team at a16z, about the future of enterprise software in the age of AI. Using Workday as a case study, they discuss why many of today’s most important enterprise systems feel broken, how platform shifts reshape entire categories, and what an AI-native replacement might look like. The conversation covers the limits of legacy SaaS, why “AI revenue” may be overstated, and how agents could fundamentally change how companies manage workflows, permissions, and internal systems. They also explore why even the most defensible software businesses may now be vulnerable to replatforming.   Resources: Follow Joe on X: https://x.com/joeschmidtiv Follow Elena on X: https://x.com/elenaburger Read more from ‘Workday’s Last Workday?’: https://a16z.com/workdays-last-workday/ Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg   Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
About a16z Podcast
a16z Podcast

a16z Podcast

By Andreessen Horowitz

The a16z Podcast discusses tech and culture trends, news, and the future – especially as ‘software eats the world’. It features industry experts, business leaders, and other interesting thinkers and voices from around the world. This podcast is produced by Andreessen Horowitz (aka “a16z”), a Silicon Valley-based venture capital firm. Multiple episodes are released every week; visit a16z.com for more details and to sign up for our newsletters and other content as well!