Intelligence should be closer.
Closer to the person. Closer to the data. Closer to the decision. Closer to the machine executing it.
Closer to the person. Closer to the data. Closer to the decision. Closer to the machine executing it.
Cloud intelligence will remain powerful. But the next generation of software will need intelligence that can act instantly, privately, and continuously.
Most AI interfaces today are conversations with remote systems. That is useful, but incomplete. Intelligence belongs inside the loop: pricing loops, trading loops, support loops, security loops, creative loops, and operational loops.
When intelligence becomes fast enough, users stop waiting for answers and start working with live cognition.
Moving computation to data often beats moving data to computation.
The future is not only chat. It is memory, tools, policies, simulations, evaluation, cryptographic proof, and execution.
Autonomous software needs traces, proofs, rollback paths, metrics, and human override.
Not as a single application, but as a portfolio of engines for domains where speed, control, and correctness matter.