Karsten Wenzlaff, Advisor
August 26th, 2025
Karsten Wenzlaff is a Crowdfunding and Fintech Expert from Germany. He is Secretary-General of Digit[...]
Why AI Investment Is Missing What Workers Actually Want
AI Research | July 22, 2025
Image: Freepik AI
New Stanford Report Data Shows Gap Between AI Funding and What Workers Support
According to a recent WORKBank audit, a major new study from Stanford's SALT Lab, 41% of Y Combinator-backed AI agent companies are
to tasks that workers have no desire for automation. These 'no go zones' represent tasks that are technically automatable but socially or emotionally rejected by workers. It's a growing disconnect that highlights a fundamental challenge for the future of work.
Should AI companies and investors automate tasks that people do not want or lead to no progress, no matter how advanced these systems are?
Workers Perspective of AI's impact
The WORKBank database is based on a comprehensive survey of data collected between January and May 2025 from 1,500 U.S. workers across 104 occupations and 844 occupational tasks. Each task is drawn from the U.S. Department of Labor’s O*NET database and evaluated by worker preferences and AI expert assessments. Responses were collected using an audio interface to reflect practical real world task experience.
See: Double-Edge Sword of AI’s Impact on Workforce Experience
This structured format asked workers whether they would want a task fully automated by an AI agent, and how much human collaboration they believe is needed to maintain task quality.
Human Agency Scale Can Help Measure Collaboration
To assess the balance between automation and augmentation, the research team created the Human Agency Scale, a 5 level scale from H1 (no human involvement) to H5 (essential human involvement).
The most preferred response across the workforce was H3, an equal partnership between humans and AI agents. This level was dominant in 47 out of 104 occupations, however for 47.5% of tasks, workers wanted more human involvement than experts believed was technically necessary. It's a gap that could evolve into resistance points in high efficiency AI rollouts.
Workers Support Automation When It Supports Their Time and Wellbeing
Despite concerns, 46.1% of tasks received a positive rating for automation. Workers were most supportive of AI when it freed up time for more important work (69.4%), reduced repetitive or tedious tasks (46.6%), or improved quality (46.6%).
See: OpenAI Launches Operator, AI with Task Execution
On the other hand, resistance appeared from fear of losing trust, jobs, or creativity. Among those expressing concerns, 45% cited lack of trust, 23% named job loss, and 16.3% described the loss of a human touch. Arts, Design, and Media was the sector with the lowest interest in automation where only 17.1% of tasks received a positive score.
Are AI Investments Automating the Right Tasks?
Researchers compared the WORKBank tasks with descriptions of companies backed by Y Combinator’s public portfolio. The results show a concentration of capital in areas workers are skeptical about.
41% of companies were mapped to tasks in the Low Priority Zone or Automation Red Light Zone, where worker demand is weak or negative, while many tasks in the Automation Green Light Zone and R&D Opportunity Zone where workers want automation remains underfunded (Read: ripe for AI task automation).
Workforce Skills Are Evolving Toward Interpersonal Strengths
The research also looked at how AI is impacting the demand for certain job skills. Tasks that require higher levels of human agency usually involve interpersonal and decision making abilities rather than data analysis or technical information processing.
See: Balancing AI Automation and Ethics in Fintech
Comparing skill rankings based on wage data from the U.S. Bureau of Labor Statistics with human agency requirements revealed a trend away from solo technical execution toward organizational coordination, collaboration, and judgment. This suggests a shift in the kinds of competencies that AI will complement rather than replace.
Why This Matters for Canada and Fintech
Canada is investing heavily in AI innovation, fintech development, and reskilling strategies for the future economy. The WORKBank research shows that AI innovation must be aligned with worker needs and social context. If Canadian fintechs and investors focus only on technical feasibility without considering how workers feel about automation, they risk building tools that sit unused, untrusted, or even opposed. AI companies and investors must engage the people whose work is being transformed.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
 |  |  |
|---|---|---|
 |  |  |
Leave a Reply