In partnership with
Finding the Right Human/AI Balance
Hello, fellow humans!
Today's Agenda
AI that works like a teammate, not a chatbot
Most “AI tools” talk... a lot. Lindy actually does the work.
It builds AI agents that handle sales, marketing, support, and more.
Describe what you need, and Lindy builds it:
“Qualify sales leads”
“Summarize customer calls”
“Draft weekly reports”
The result: agents that do the busywork while your team focuses on growth.
Anthropic Introduces AI Interviewer Tool for Understanding Professional AI Use
Anthropic launched an AI-powered interview tool that conducted 1,250 interviews with professionals about AI use in their work. The study found 86% of professionals report AI saves them time, while 65% are satisfied with AI's role in their work.
69% of professionals mentioned social stigma around AI use at work, leading many to hide their AI usage. The research revealed a gap between perceived AI use (65% augmentation) vs. actual usage patterns (47% augmentation, 49% automation).
Scientists are interested in AI partnership but don't trust it for core research tasks, and limit AI use to writing and coding assistance.
We have to take this with a grain of salt; Teresa Torres points out that this particular AI interviewer was not asking reliable questions, but also suggests that AI interview automation has value when we use it in combination with human interviewers and is experimenting with building her own vibe-coded AI interviewer.
AI Career Trends Show Emergence of New Professional Roles
Companies are hiring new AI-specific roles including agent product managers and "human in the loop" validators. This report estimates that 39% of the workforce is expected to need reskilling as AI transforms job requirements.
The emotional and interpersonal skills are rising in importance as technical tasks become automated. Organizations are investing in internal AI career coaching tools to help employees identify skills and explore future options.
The focus is shifting toward roles that require human judgment, creativity, and relationship management.
Warns of "automation bias" where humans suffer skill degradation as tasks are delegated to AI agents. For example, there is a risk that developers who offload code reviews to AI may lose critical debugging and quality assessment skills.
This report identifies the risk of over-reliance on AI systems without maintaining human oversight capabilities. The reality is that organizations need to plan for maintaining human skills even as AI handles more tasks.
As exciting as AI automation may be, we still need deliberate strategies to prevent skill atrophy in human workers.
Radical Candor
AI roles themselves are subject to automation. Gartner warns that by 2030, half of enterprises may face irreversible skill shortages due to GenAI accuracy decline, skills erosion, and uncompetitive pay. The professionals who thrive will be those who continuously evolve their skills, moving up the value chain as routine AI tasks become automated.