If AI Can Do Everything, Where Do We Start?

While following new technologies, I sometimes encounter a concept that perfectly describes something I have been considering for a long time while developing products.

The latest example was AI’s ‘Blank Canvas Problem’.

Today, many AI applications open onto an empty screen:

‘What would you like to do?’

It is an impressive kind of freedom. The system can perform dozens, even hundreds, of different tasks.

But that is exactly where another problem appears:

How can users know which of those possibilities actually matters for their own problem?

That is why we are seeing an interesting change in direction in AI products.

Gusto, for example, embeds AI into payroll and business processes instead of offering it only as a separate chat interface. Rather than expecting users to explain what needs doing every time, the technology enters the context of work already underway.

I think what matters here is not how powerful the AI is.

It is how much thinking the product takes off the user’s shoulders.

This becomes even more meaningful in finance.

A business executive does not need to know every cash-flow ratio. But the system needs to distinguish which developments signal an approaching cash squeeze.

Someone seeking their company’s value does not need to learn valuation methodology from scratch. But the application must account for differences in industry, business model, and financial structure.

A company seeking financing should not have to model dozens of alternatives individually either. What matters is seeing which structure truly fits the way the company generates cash.

This is becoming increasingly important to us as we develop Ainsideme’s digital applications.

Not adding more features, but bringing the right financial logic into play at the right moment.

Our cash-flow, financing, foreign-trade, risk, and most recently company-valuation applications each address a different problem.

But a shared idea guides their product design:

Instead of leaving users with unlimited options, make visible what truly matters to the decision.

Perhaps AI’s real business value will not lie only in being able to do more.

It will lie in knowing when it can help, without making us ask what it can do.