When Policy Determines Business Access to Talent and #Tech
by @antgrasso #Innovation #EmergingTech #Technology
WORKFORCE
-

Policy Impact on Business Access to Tech Talent
By
–
-
Project Manager Manufacturing Role Automation Impact Analysis
By
–
Business Role (Project Manager), Manufacturing
-
Jobs as Given or Created: Rethinking Employment Relationships
By
–
Do you think of jobs fundamentally as something that you are given, or as contractual relationships that you create?
-
Automation Ethics: Rejecting Job Displacement Arguments
By
–
It's dehumanizing to think that slavery should not be abolished because otherwise the slaves would not have jobs. It's dehumanizing to force people to drive other people around or operate a manual loom or to submit tax returns if the job can be done by machines.
-
Jobs Are Not Finite: Why Automation Creates New Work
By
–
The idea that there is a finite amount of jobs is fundamentally mistaken. There is always work to do.
-
Founder Resists MCP Automation Push From Enterprise Customer
By
–
Rob, relaying from another founder: Large enterprise customer wanted an MCP integration to plug our dev tools into an automation platform they use internally, w/r/t responding to tickets. Strong internal push to automate more. I want to be source of truth, not the tool automated.
-
LLMs Can Grade Every Sales Call for Instant Feedback
By
–
Analysis: Many SaaS capture routine events in people’s workflows. You can potentially have LLMs give ~instant feedback on execution quality of those with less friction and more consistency than traditional human management would ever be able to do. e.g. Grade every sales call.
-
AI Categorization Models Replace Manual Tagging and Taxonomy Work
By
–
Categorization: We've had tag clouds and taxonomy for forever. Historically, lots of manual work pushed to user, to outsourced teams, or (for very large companies) custom-built models. Now categorization models are trivial, scale to the moon, and liberate people from this work.
-
AI-Assisted Generation Still Searching for High-Value Use Cases
By
–
Rob: AI-assisted generation is still in early stages. Saving someone 2 minutes isn't interesting. Saving someone a day is. We don't seem to have good patterns for where it is *actually* unlocking excess value yet, but many companies doing e.g. auto-generated notes on calls, etc.