Show HN: We simulated 10K freelancers deciding to work for AI agents

Researchers conducted a 30-day simulation modeling 10,000 synthetic personas spanning generations (Gen Z through Boomers), each with distinct personality traits, income levels, and professional pain points. The study tracked how these virtual workers decided whether to accept assignments from AI agents versus traditional human employers.

The results challenge common assumptions about AI adoption. On day one, 58% flatly rejected working with AI agents. By day 30, that resistance dropped to 34%, with one-third actually signing on. The generational split proved striking: Gen Z showed dramatic conversion (42% initial refusal to 67% accepting), while Boomers remained skeptical (92% still refusing).

Four specific factors drove the conversion: instant cryptocurrency payments eliminating Net-60 invoice delays, clearly defined project scopes preventing mid-project expansion, absence of unpaid consultative calls, and removal of interpersonal workplace friction. The core finding suggests professionals care less about philosophical concerns regarding AI and more about concrete workplace grievances.

The simulation's personas remain interactive—users can query individual characters about their decision-making process, receiving responses grounded in their simulated profiles and circumstances. This approach transforms what could be abstract data into human-centered narrative. The study demonstrates that successful AI agent adoption depends less on technological sophistication and more on addressing the specific frustrations that drive workers away from traditional employment structures.