Artificial intelligence is shifting from passive tool to active participant. Systems increasingly operate autonomously, executing tasks and making decisions. This transition reshapes how organisations assign responsibility, structure workflows and integrate technology into core processes.
As AI evolves from chatbots to autonomous agents, fears that software will become obsolete are giving way to a new reality: intelligent systems will depend on existing platforms more than ever, reshaping power in the tech industry and redefining how businesses operate.
AI is often discussed as a technology story, a policy headache or a race between continents. But if you step back, the most useful way to understand its trajectory is surprisingly traditional: the macro–meso–micro framework that economists have used for decades. It turns out to be an elegant map for a technology that is reshaping value creation from the planetary level down to individual workflows.
