Franklin's test for sustainable technological practice: does it give back some measure of what it takes? AI-augmented work extracts developmental experience while returning only productive output—an asymmetric exchange depleting cognitive soil.
Reciprocity is the structural condition for sustainability of any practice. Franklin derived from this principle a test applicable to any technology: does the practice give back some measure of what it takes? A technology that takes without returning is extractive—highly productive short-term, always unsustainable long-term. The soil gives out. Applied to AI-augmented work, the exchange appears reciprocal: the user gives attention, cognitive engagement, domain knowledge; the AI gives capability, speed, output. But the exchange is asymmetric. One party gives a finite, irreplaceable resource—the developmental experience coming from struggling with implementation, the depth built through difficulty, the judgment deposited through years of encountering problems resisting easy solution. The other gives something it can provide indefinitely: output, at whatever volume and speed requested. The farmer who takes grain and returns organic matter is reciprocal; the farmer who takes grain without returning nutrients is extractive. The harvest continues while soil thins—until the foundation gives out.