AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics
🏆 Ranked #3, Best 30 HR Tech Podcasts in the US — Million Podcasts (2026). Host Dan Turchin, PeopleReign CEO, explores how AI is changing the workplace. He interviews thought leaders and technologists from industry and academia who share their experiences and insights about artificial intelligence and what it means to be human in the era of AI-driven automation. Learn more about PeopleReign, the system of intelligence for IT and HR employee service: http://www.peoplereign.io.
AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics
400: Wade Foster, Zapier CEO: What Happens When Every Knowledge Worker Gets a Coding Engine
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Wade Foster is the CEO and co-founder of Zapier, the workflow automation and AI orchestration platform used by more than 4 million people to connect over 7,000 work apps. Since launching in the Y Combinator Summer 2012 batch, Zapier has automated more than 81 billion tasks, users have built more than 25 million Zaps, and the company has bootstrapped its way to a valuation north of $5 billion.
He holds degrees in industrial engineering and business administration from the University of Missouri, and has spent more than a decade on a single problem: making the tools people work in every day work for them instead of against them. He is also one of the show's rare repeat guests. His first conversation with Dan was in January 2024, back when coding agents mostly did not work.
In this episode, Wade draws on running the automation layer that sits between thousands of enterprise tools to argue that the frontier model leap of late 2025 handed every knowledge worker an engineer, and that the companies still waiting on returns are the ones that never changed how the work itself gets done.
In this conversation, we discuss:
- Why the late 2025 model leap means every knowledge worker now has an engineer, and what that changes about ordinary work.
- Where deterministic workflows still beat AI at work, and why the most sophisticated teams refuse to choose between the two.
- What happens when white collar workers start pasting API keys into files, and the third option most security leaders are missing.
- Why Wade says culture, not tooling, is the real constraint, and what leaders get wrong when the board demands AI first.
- Why individuals report real AI gains while their organizations report none, and what has to be rethought before that gap closes.
- How Zapier built its AI Fluency Framework from its own teams, and why version one was already dated the day it shipped.
Explore this conversation:
00:00 Welcome to Episode 400
02:01 AI Fun Fact: Is Agentic AI the End of SaaS Tools?
04:35 Introducing Wade Foster: How Zapier Bootstrapped to 81 Billion Automated Tasks
06:01 From Coding Agents That Kind of Worked to an Engineer for Every Knowledge Worker
07:53 What Zapier Does Today: Deterministic Workflows Meet Non-Deterministic AI
11:12 Hybrid Workflows: Build It With AI, Run It Like a Program
13:30 MCP and the Orchestration Layer: API Keys, Agent Harnesses, and the Daily Recap
20:23 The Third Option for CISOs: Governing AI Agents Without Saying No
24:00 Foot Guns and Default Settings: The Product Judgment Behind Agent Permissions
27:03 Accountability When Software Is No Longer Deterministic: Evals and Spec Adherence
28:34 AI Strategy Office Hours: Why Individual AI Gains Are Not Becoming Institutional ROI
33:03 The Zapier AI Fluency Framework: Why Version One Was Dated on Arrival
36:15 Looking Ahead to 2028: The Hive Mind Company and a New Management Playbook
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