Companies Aren’t Ripping Out Business Software for AI. Here’s What They’re Doing Instead.

Why It Matters

The move shows AI is augmenting, not replacing, enterprise software, reshaping spend and vendor power. It could unlock sizable efficiency gains and reshape the competitive dynamics of the software market.

Key Takeaways

• Enterprises renegotiate vendor contracts amid software stock slump.
• AI “vibe‑coding” drives custom in‑house app development.
• Large firms keep ERP platforms, add AI‑agent layers.
• Cost savings from AI replacements can reach tens of millions.
• Gartner predicts 70% of developers using AI agents soon.

Pulse Analysis

The recent plunge in software‑stock valuations has sparked a strategic reassessment among Fortune‑500 firms. While headlines warn of AI‑induced disruption, most CEOs recognize that legacy ERP, CRM and HCM platforms still anchor critical compliance, multi‑currency, and global reporting functions. Rather than abandoning these systems, they are using the pricing pressure to secure more favorable licensing terms, preserving the backbone of their digital operations while freeing capital for innovation.

At the same time, AI‑enabled “vibe‑coding” is empowering internal development teams to craft lightweight, purpose‑built applications that sit atop existing suites. Companies like Cisco and Lowe’s have already replaced costly third‑party tools with AI‑generated agents, reporting annual savings of $5 million to $200 million. By automating routine workflows—such as presentation creation or store‑level marketing collateral—organizations can redirect engineering talent toward high‑impact, differentiating projects rather than routine maintenance.

Looking ahead, the balance of power is shifting toward vendors that expose robust data APIs and support AI‑agent integration. Gartner’s forecast that over 70 % of business‑software developers will adopt AI‑agent coding tools within two years signals a broader industry pivot. Executives should therefore evaluate software contracts not only on feature sets but on the flexibility to embed AI agents, ensuring their technology stack remains adaptable as AI becomes the primary user interface for enterprise processes.