The article argues that large language models lack the structured data, integrity constraints, and deterministic processes that business software provides. Instead of replacing software, LLMs will plug into existing systems via protocols like MCP, serving as a flexible front end while databases and rule engines remain the backbone.

• Structured software (e.g., CRMs) enforces data integrity and constraints—like requiring a company record before logging a deal—that free-form LLM chat can't guarantee or replicate reliably.
• The Air Canada chatbot case, where misleading bereavement fare info led to tribunal costs, shows the real risk of letting LLMs act without deterministic guardrails.
• Protocols like MCP let LLMs plug into existing systems (Salesforce, Jira) to query and act within enforced schemas/permissions, rather than replacing those systems outright.
• The likely future is LLMs as a flexible front end sitting behind deterministic software and databases, not a wholesale replacement of traditional business systems.