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Chronicles

The story behind the story

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A look at the new class of jobs created by AI companies: AI storytellers, forward deployed engineers, AI accelerators, AI philosophers, AI gig workers, and more

Business Insider Brent D. Griffiths

Context & Ripple Effects

Related coverage shows AI hiring moving beyond model-building roles: organizations have added AI leadership positions, while AI vendors have expanded hiring for forward-deployed engineers who help customers put models into use.

The same shift is creating a more contingent layer of AI work, with entertainment workers taking AI-training gigs. Together, these reports suggest adoption is generating jobs around implementation, governance, communication, and data labor—not only core research and engineering.

First-order effects

  • AI companies and their customers must recruit for functions that translate models into deployable products, customer workflows, and organizational decisions, including forward deployment, AI leadership, and storytelling or evangelism roles.
  • Workers with domain expertise can find new AI-adjacent contract and training work, while technical roles increasingly include system design and oversight alongside conventional production work.

Second-order effects

  • Enterprise buyers may face stronger pressure to build internal AI ownership and implementation capacity rather than treating model access as a standalone software purchase.
  • The growth of AI gig work can widen the market for specialized human feedback and content-evaluation services, but may also make parts of that labor more project-based and less secure.

Third-order effects

  • If these roles persist, AI competition will increasingly hinge on deployment and organizational change management as much as on the underlying model, favoring vendors that can embed expertise with customers.
  • The labor-market split between strategic AI leadership and flexible task-based AI work could sharpen, raising longer-term questions about how gains from AI adoption are distributed between labor and capital.

The trend: AI is creating an adoption economy around models, in which implementation, governance, customer integration, and human-feedback work become distinct job categories.