Geoffrey Woo Predicts Only Three Core Jobs Remain in the AI Era
Geoffrey Woo posted a list of jobs remaining after AI automation: 1. Deep collaboration with models until colleagues think they have joined a monastery; 2. Sales, recruitment, and gaining the trust of the wealthy; 3. Exclusively handling dirty and chaotic workflows that others are unwilling to touch.
He pointed out that HR will subsequently invent new names for these roles, reflecting the trend of human labor concentrating on high-value, relationship-driven, and complex marginal tasks after the popularization of AI Agents.
This observation highlights that companies are shifting capital from routine process automation to talent-scarce areas, benefiting sales and trust builders, while specialists in dirty work create barriers, pushing the pricing power of the labor market toward a few high-leverage roles.
Source: Public Information
ABAB AI Insight
Geoffrey Woo, as an early AI investor, has previously discussed the reconstruction of workflows by Agents on X and podcasts, emphasizing the shift from dashboard waiting rooms to real-time action engines. Historically, his investments related to Multiple and Figma have focused on developer tools and automation efficiency improvements.
On the capital front, companies are accelerating the shift of resources from automatable positions to AI collaboration, relationship sales, and complex workflow specialization, attracting top talent through equity incentives and renaming HR roles, while reducing overall labor costs and enhancing execution leverage to support Agent infrastructure expansion.
Similar to the rise of skilled trades and sales roles after machines replaced manual labor during the Industrial Revolution, or product managers and sales leading in the software era, tech companies are currently transitioning from mass hiring to controlling a few high-value roles.
Essentially, this is a technology-driven restructuring of the industrial chain: AI Agents are consuming routine cognitive work, forcing capital to shift from general labor to concentrated scarce capabilities, reshaping labor pricing power toward deep collaboration, trust sales, and specialization in dirty work, while accelerating internal structural optimization within companies.
ABAB News · Law of Cognition
As AI replaces the routine, humans guard the scarce; collaboration on dirty work and trust are the three levers.
Automation eliminates positions, focusing on the remaining amplifies; HR names new bottles, old wine's value is eternal.
Machines handle dirty and tiring work, humans focus on high value; those who embrace the three will navigate the AI cycle.