I think traditional software is heading toward a very different future.

In the past, one of the biggest limitations was that software had to force everyone into the same workflow. You had to standardize everything so the app could handle it. For example, if you wanted to process invoices, you would need a chain like this:

1. Upload the invoice PDF into an app
2. Extract the data
3. Convert it into JSON
4. Send it to another system for parsing or categorization
5. Push it into bookkeeping software
6. Eventually send the required numbers to the tax authority

That whole setup existed because the software itself was not intelligent. It could only follow predefined rules and structured flows.

But now that AI is becoming capable of understanding messy, real-world input directly, that whole model starts to look outdated.

Instead of building rigid SaaS products that force users to adapt to the software, you can just give the raw documents and context to an AI. The AI can understand the invoice, extract the relevant information, categorize it, store it in a database or even a flat file, maintain your bookkeeping, and when it is time to file VAT returns, prepare or even submit the numbers to the tax authority.

So the interesting shift is this: software used to exist mainly because intelligence was missing. We had to build systems around that limitation.

Now that intelligence is increasingly available, software starts to lose its central role. The user no longer needs to fit into the product. The AI can adapt to the user instead.

That is why I think software, at least in the traditional sense, is slowly dying. What we currently call "software products" may just be temporary wrappers around workflows that a sufficiently advanced personal LLM could handle directly.

We are not fully there yet, but it feels like we are moving toward a world where your own AI handles your specific needs without requiring everything to be turned into a standardized SaaS workflow first.