Divya van Mahajan

20+ New Jobs that AI Will Create

ai-daily-brief-podcast

Study Document: 20 New Jobs That AI Will Create

Overview

This episode of the AI Daily Brief (recorded June 19–20, 2025) explores the emerging discourse around AI-driven job displacement and, more importantly, the new categories of work that AI is likely to generate. The host (unnamed in the transcript, presenter of the AI Daily Brief podcast/video series) argues that while AI will unquestionably eliminate many existing roles — particularly knowledge-worker roles — it will also create entirely new job categories, especially as the industry transitions from “assistant-era” AI to “agentic-era” AI. The episode anchors its analysis of new job creation in a New York Times piece by Robert Capps titled “AI Might Take Your Job, Here Are 22 New Ones It Could Give You,” supplemented by the host’s own query to OpenAI’s O3 model.

Source video URL: (not provided)

Prerequisites

  • Basic familiarity with large language models (LLMs) and generative AI tools (e.g., ChatGPT, Claude)
  • Understanding of the distinction between AI assistants (reactive, single-task tools) and AI agents (autonomous, multi-step, goal-directed systems)
  • General awareness of current debates around automation and labor economics
  • Familiarity with major technology companies referenced: Amazon, Shopify, Duolingo, Fiverr, BT (British Telecom), Khan Academy
  • Awareness of key figures cited: Andy Jassy (Amazon CEO), Dario Amodei (Anthropic), Reid Hoffman (LinkedIn co-founder), Scott Galloway (NYU Stern), Geoffrey Hinton (Nobel Prize–winning AI researcher), Rick Rubin (music producer)

Main Points

1. The Shift from Assistant AI to Agentic AI Is Driving Job Anxiety

  • The central reason the AI-and-jobs conversation has intensified is the transition from AI as a productivity assistant to AI as an autonomous agent capable of completing entire workflows.
  • Agents raise a qualitatively new question: not just “can AI help with tasks?” but “can AI replace entire job categories?”
  • The host argues the common reassurance — “you won’t be replaced by AI, but by a person using AI” — is a “comfortable delusion” that will quickly become obsolete.

2. Corporate Leadership Is Signaling Workforce Reduction

  • Amazon CEO Andy Jassy circulated an internal memo stating that AI agents will “reduce total corporate headcount” over the next few years as efficiency gains accumulate. Amazon currently has over 1,000 Gen AI services built or in progress.
  • Jassy frames agents as “teammates” and urges employees to upskill, while acknowledging that “we will need fewer people doing some of the jobs done today.”
  • British Telecom is targeting 40,000 job cuts and £3 billion in cost reductions by end of decade; CEO Allison Kirkby suggested AI may allow BT to shrink even further.
  • Vista Equity Partners CEO Robert Smith claimed that 40% of private capital professionals will have an AI agent within a year, and the remaining 60% risk being displaced.
  • Real-world layoffs are already occurring: an HR worker at a Bay Area benefits firm described losing her job after her employer automated her role via AI.

3. Perspectives on the Scale and Nature of Disruption Vary Widely

  • Dario Amodei has warned AI could wipe out half of white-collar jobs within a few years.
  • Orlando Bravo (Thoma Bravo) holds a more conservative view, seeing AI primarily as a productivity enhancer (e.g., using ChatGPT to draft research papers before adding human judgment). The host notes this mental model underestimates agentic capabilities.
  • Scott Galloway coined the metaphor of AI as “corporate Ozempic” — it suppresses companies’ instinct to hire more people even as they grow, delivering growth without the “caloric cost” of headcount.
  • Galloway believes AI will disproportionately benefit elite talent: highly skilled, creative, tool-savvy workers will become dramatically more powerful, while average workers face a rough transition.
  • Geoffrey Hinton, when asked how to distribute AI gains across society, answered simply: “socialism.”
  • Reid Hoffman is optimistic, advising graduates to “surf the wave” of AI transformation rather than try to AI-proof static careers — analogous to not trying to “internet-proof” a career in 1997.

4. New Job Categories Anchored in “Trust” (from Robert Capps / NYT)

Capps organizes prospective new roles into three domains. The first is Trust:

  • AI Auditor — explains what AI systems are doing and why; documents outputs for technical, explanatory, or liability purposes.
  • AI Translator — communicates AI mechanics to business leaders and non-technical managers.
  • Trust Authenticator / Trust Director — builds chains of reasoning to support and justify decisions made by AI or hybrid human-AI teams.
  • Sin Eater (term coined by Ethan Mollick) — the final human in a chain of responsibility who legally and ethically “owns” the AI’s output; a legal guarantor role.
  • Consistency Coordinator — oversees output consistency across multiple AI systems (e.g., ensuring a fashion house’s products are accurately represented across dozens of AI-generated images).
  • Escalation Officer — identifies when AI is inappropriate or unwanted for a task and routes work to humans; particularly relevant in customer service, where humans often prefer interacting with other humans (citing Daniel Susskind’s work).

5. New Job Categories Anchored in “Integration” (from Robert Capps / NYT)

The second domain is Integration:

  • AI Integrator — determines how best to deploy AI within a company and implements those solutions; this function currently often sits with external consultants but will move in-house.
  • AI Plumber — a new class of IT specialist focused on diagnosing and repairing AI systems when they malfunction.
  • AI Assessor — evaluates new and changing AI models for regression or improvement; Sal Khan (Khan Academy) is cited as identifying this need, given how rapidly models evolve.
  • AI Trainer — helps AI systems find and digest company-specific data so they respond accurately in proprietary business contexts.
  • AI Personality Director — defines and manages the tone, voice, and personality of AI systems that represent a company’s brand; the host notes AI personality may become as central to brand identity as a logo.
  • Drug Compliance Optimizer (healthcare) — develops AI-driven systems ensuring patients receive the correct medications at the right times.
  • AI-Human Evaluation Specialist (healthcare) — determines whether AI or human care providers will perform better in a given clinical scenario.

6. New Job Categories Anchored in “Taste” (from Robert Capps / NYT)

The third domain is Taste:

  • When everyone has access to the same generative tools, human taste and vision become the primary differentiator. Rick Rubin is cited as the archetype: his value is his confidence in aesthetic judgment, not technical skills.
  • Designer roles will be transformed — product designers, for example, will own products more holistically from concept to execution.
  • New role titles may emerge or existing ones evolve:
    • Article Designer (instead of writer)
    • Story Designer (film/TV)
    • World Designer (marketing, games — constructs entire fictional universes)
    • Human Resource Designer — owns the full design of training, benefits, and policy materials
    • Civil Designer — focuses on creative and conceptual aspects complementing the technical work of civil engineers
    • Differentiation Designer — a comprehensive brand officer for an era when all competitors share the same generative tools

7. Additional Roles Identified by AI (O3 Query)

The host queried OpenAI’s O3 model for further job ideas, with results centering on management of agentic workforces:

  • AI Agent Orchestrator — decomposes business goals into task chains, spins up specialized agents, sets guardrails, manages cost vs. latency trade-offs, and schedules human review checkpoints.
  • Enterprise Agent Lifecycle Manager — versions, monitors, and retires fleets of agents across business units.
  • Chief AI Officer / AI Governance and Compliance Officer — emerging C-suite and senior leadership roles.
  • Model Behavior Auditor / Safety Analyst — oversees risk, ethics, and compliance for AI systems.
  • Human-AI Interaction Designer — specifically designs the handoffs, trade-offs, and interaction patterns between agents and people across different types of work.

8. The Larger Point: New Industries, Not Just New Roles

  • The roles listed above address the management and governance of existing AI deployments; they do not yet account for entirely new industries that AI capabilities will enable.
  • The host previews a future episode on AI video and sound generation (VO3) as an example: AI-enabled content formats are already spawning new content categories on TikTok and YouTube Shorts that may give rise to unnamed, entirely new professional fields.
  • The difficulty of imagining future job categories is symmetrical with the difficulty of imagining the internet’s job creation in 1995.

Key Concepts

  • Agentic AI / AI Agents — AI systems that autonomously plan and execute multi-step tasks toward a goal, as distinct from reactive assistants that respond to single prompts.
  • Assistant Era vs. Agentic Era — A framing for the current transition in AI capability: from tools that help with discrete tasks to systems that can own and complete entire workflows.
  • Corporate Ozempic — Scott Galloway’s metaphor for AI as a mechanism that suppresses companies’ appetite for hiring even during growth phases, analogous to how Ozempic suppresses caloric appetite.
  • Sin Eater — Ethan Mollick’s term for the human who takes final legal and ethical responsibility for AI-generated decisions or outputs.
  • AI Auditor — A professional who documents and explains AI decision-making for technical, explanatory, or legal purposes.
  • AI Translator — A bridge role that communicates AI capabilities and mechanics to non-technical business leadership.
  • Escalation Officer — A professional who determines when AI-generated outputs or interactions should be handed off to a human.
  • AI Personality Director — A role responsible for defining the tone, voice, and behavioral character of AI systems representing a brand.
  • AI Integrator — A specialist who identifies optimal AI deployment strategies within an organization and implements them.
  • World Designer — A creative role in which a human uses AI tools to construct entire fictional or conceptual universes for marketing, gaming, or narrative purposes.
  • Differentiation Designer — A senior brand strategist whose function is to create meaningful brand distinction in an environment where all competitors have equal access to generative AI tools.
  • Agent Orchestrator — A technical-managerial role responsible for decomposing goals into agent task chains and managing their execution.
  • Enterprise Agent Lifecycle Manager — A role focused on versioning, monitoring, and decommissioning deployed AI agents at scale.
  • Human-AI Interaction Designer — A specialist in designing the boundaries and handoff points between human workers and AI agents.

Summary

The episode argues that the AI jobs conversation has entered a new and more serious phase because agentic AI — unlike earlier assistant-era tools — is capable of replacing not just individual tasks but entire job functions, a reality now being acknowledged openly by major corporate leaders including Amazon’s Andy Jassy. While the host is unequivocal that significant job displacement is coming and that reassurances about human-AI complementarity are largely wishful thinking, the central purpose of the episode is to begin mapping the new job categories that AI will create. Drawing primarily on a New York Times analysis by Robert Capps, the episode organizes prospective new roles into three domains: Trust (roles that provide accountability, explainability, and human oversight of AI outputs), Integration (roles that deploy, maintain, train, and evaluate AI systems within organizations), and Taste (roles defined by human aesthetic judgment, vision, and brand direction in a world where generative tools are universally accessible). Supplementary roles generated by querying O3 focus on managing and governing fleets of autonomous agents. The host closes by noting that these catalogued roles address only the governance layer of current AI deployment; the deeper economic transformation — the entirely new industries that AI will enable — remains largely unimagined, and the jobs those industries will create have no names yet.