A panel discussion on artificial intelligence and enterprise software featured executives from Rimini Street and Zeta Global arguing that AI is more likely to strengthen established, mission-critical platforms than abruptly replace them. The conversation centered on what they described as "overanxiety" in the software industry—particularly the idea that generative AI could rapidly "vibe code" replacements for complex enterprise systems.
The Enterprise Reality
Seth Ravin of Rimini Street, which supports thousands of customers across government, military, and private industry, explained that large enterprises prioritize stability over frequent upgrades. His company keeps large transactional systems running longer than original vendors typically want, because customers value continuity.
"ERP software is dead over the long term, but not imminently," Ravin stated. "You can't replace 27,000 processes and millions of lines of audited code overnight."
Why Incumbents Have Moats
Zeta Global's executive outlined several competitive advantages that protect established platforms:
- Proprietary Data: Zeta's data cloud contains 552 million active people with first-party tracking across trillions of content pages
- Deep Integration: Enterprise systems are woven into complex workflows that can't be replicated quickly
- Governance & Compliance: Years of built-in compliance, auditing, and security controls
The Real AI Opportunity
Rather than replacement, the panel saw AI augmenting existing platforms through "agentic" layers. Zeta's partnership with OpenAI focuses on "Athena," a voice-enabled super agent that helps clients navigate complex interfaces through natural language—reducing friction without replacing the underlying platform.
Productivity Impact
Both companies reported significant internal AI adoption:
- 125% increase in engineering productivity over 12 months
- 28% reduction in issue resolution cycle time
- Revenue growth of 30%+ while maintaining or reducing headcount
The Verdict
While thin applications without proprietary data face disintermediation risk, mission-critical enterprise platforms with deep integration, proprietary data, and governance controls are positioned to become stronger with AI—not disappear overnight. The winners will be platforms that successfully add AI capabilities while maintaining the trust and stability enterprises demand.