You’ve probably heard that AI will eat your job and your livelihood within the next few years and you’re no doubt terrified of where this is all going.
Let’s break this down. There’s a big difference between “vibe coding” (using AI to generate quick prototypes or simple scripts) and running a real enterprise software business. If you are running enterprise software that must process data from warehouses, retail stores and third party logistics firms, you need a human developer. Sorry, that’s a fact. AI can help the human developer but won’t replace him (or her).
Running enterprise software involves complex debugging, long-term maintenance, security patching, compliance, and integration with legacy systems. These are tasks that still require deep human expertise and judgment. AI can assist, but it cannot yet replace the nuanced understanding needed to keep mission-critical systems running reliably.
A good example of this is Microsoft, which has integrated AI via Copilot and Azure OpenAI into its products. The result is higher customer retention from customers using Copilot in tools like Teams, Word and Power Platform. This has translated into higher revenue, with Azure AI growing more than 30% year-on-year, and Copilot subscriptions likewise on the increase.
Adobe is another strong example: its Firefly AI tools have driven record adoption of Creative Cloud, with many customers upgrading plans specifically for the AI features, boosting both retention and average revenue per user.
This shows that when companies embed AI meaningfully into existing products, they don’t just defend their market position, they create new value and strengthen customer loyalty.
Recent earnings estimate revisions for major software companies have turned positive. Analysts have been upgrading forecasts for firms like Microsoft, Adobe, and Salesforce, citing strong demand for AI-enhanced tools rather than replacement of human developers. This indicates that the market is starting to see AI as a productivity booster, not a job destroyer.
That said, software companies could become value traps if longer-term fears about fbusiness model changes materialise. If AI reduces the need for custom development and maintenance contracts, traditional software vendors could face margin pressure.
However, earlyevidence suggests the opposite: companies that integrate AI effectively areseeing higher customer retention and new revenue streams.
The bottom line: software remains fundamentally a “human” industry. It requires creativity, empathy, ethical judgment and the ability to understand complex business problems. These are skills that AI still struggles with.
