A staffing manager walks into a café in downtown San Francisco and hands out small packages. Inside each one is an elastic headband with a phone mount. The instructions are simple: strap it to your forehead, go home, and film yourself doing the dishes. Roughly two hours of usable footage pays about $80. One longtime gig worker, who has delivered food and hung Christmas lights for a living, summed up the appeal without much ceremony — he has to do the chores anyway, so he may as well be paid for them.

The May–June 2026 technology conference window is unusually dense, reflecting the sector’s attempt to process several simultaneous inflection points: the industrial deployment of AI beyond the pilot phase, the semiconductor supply chain’s geographic rebalancing, and the maturing of open hardware architectures from academic interest into commercial infrastructure. For investors and operators tracking these transitions, the conference calendar functions less as a social calendar and more as a forward indicator — announcement timing, speaker cancellations, and floor traffic are often more informative than the formal presentations.

Not dead — but under serious pressure, and some of its foundational assumptions are eroding fast.

Agile was designed around the scarcity of working software. Writing code is slow, human attention is finite, and iteration is expensive. Its rituals — sprints, standups, story points, velocity tracking — exist to manage that scarcity. AI coding assistants like GitHub Copilot, Cursor, and Claude Code dramatically compress the time from intent to working code. When a sprint’s worth of boilerplate takes an afternoon, the sprint cadence starts to feel like bureaucracy.