Today we are launching Groundwork (https://www.groundwork.today), but before getting into the platform itself, I want to share the macro thesis that led us to build it.
The Macro Shift: The "Time Surplus" When you look at the history of human labor, it isn't a linear progression from toil to leisure—it's actually U-shaped.
Historically, hunter-gatherers worked only 15–20 hours per week on subsistence. We are currently exiting a 200-year anomaly of extreme work hours (the Industrial Revolution) and returning to a baseline of intermittent labor. Generative AI is accelerating this by automating "cognitive drudgery." With massive productivity gains, the data indicates we are structurally moving toward a reduction in the standard workweek, with 32 hours (or eventually less) emerging as a new economic equilibrium. This creates a massive "Time Surplus" for the average knowledge worker. Our research shows that people don't just want to spend this surplus on leisure; they want to invest a portion of it into purpose and impact. We are already seeing the value of a volunteer hour rise to nearly $35, reflecting a shift from manual contributions to highly skilled work.
The Problem: The Engagement Gap Despite this growing "Cognitive Surplus," the infrastructure to deploy it is broken. You wouldn't ask a surgeon to fix a sink, so why are volunteers stuck doing generic data entry if their superpower is data science, full-stack development, or graphic design?
Millions of people want to make a tangible impact on global and local issues, but they stay on the sidelines because they don't know where their time can make an impact towards causes they care about. The barrier isn’t a lack of intent; it’s the friction of discovery. At the same time, non-profits and impact organizations struggle with high volunteer drop-off rates because they default to a "general labor" model.
The Solution: Groundwork We built Groundwork to solve this exact inefficiency. We are replacing the traditional "search for a role" model with precision matching. The Onboarding: Volunteers spend 3 minutes sharing their personal values, specialized skills, and time availability. The Matching: We connect volunteers with impact organizations based on 20+ criteria, prioritizing deep cause alignment (e.g., climate, education, healthcare), schedule syncing, and specific technical or functional expertise. The Result: Instead of searching endless job boards, we curate the role for the volunteer. You receive direct invitations to opportunities that fit perfectly. On the flip side, impact organizations get access to a high-intent volunteer pool and ready-to-go specialists, drastically increasing their efficacy.
By aligning volunteer values with specific causes and matching their actual skills and availability, we significantly reduce drop-off rates and ensure that every hour of work makes a structural difference.
We’d love for this community to poke around the site (https://www.groundwork.today) and let us know what you think. We are especially interested in your feedback on our macro thesis regarding the "Time Surplus" economy.
Happy to answer any questions!
ad93611•1h ago
Dicemanx•1h ago
I think AI will: DESTROY a lot of old work - very quickly CREATE new work - just a little for the first year or two, and then start to ramp up UPDATE existing work - quite a bit initially as people go for quick wins and low hanging fruit, and then the updates will start to get replaced by disruptive solutions
In conclusion, I believe it will create a ton of Time Surplus initially and then create new work after a few years.