AI creates new jobs. In particular, the rise of Humans + AI decision-making generates a wealth of new work, all of which amplifies the capabilities of humans and vastly improves their decision-making performance.
Here is a selection of 32 new jobs that are being created by AI-assisted decision-making.
These approaches require architecting entirely new organizational structures, supported by novel work disciplines. All of these roles will have an exponential impact on scaling decision capabilities, and thus organizational performance.
The 32 new jobs
- AI Governance Director: Sets enterprise policy, guardrails, and escalation paths for all AI- and agent-assisted decisions.
- Human-AI Interaction Designer: Crafts interfaces, prompts, and feedback loops so people and decision agents cooperate smoothly and transparently.
- AI-Augmented Decision Strategist: Creates playbooks that fuse algorithmic foresight with human judgement for faster, higher-impact strategic choices.
- AI Decision Auditor: Periodically evaluates AI-generated or agentic decisions for compliance, fairness, traceability, and business effectiveness.
- AI Explainability Specialist: Builds technical tooling that reveals the reasoning chains behind model or agent recommendations to expert reviewers.
- AI Bias Detection Analyst: Detects and mitigates bias across data, models, and autonomous decision policies before they hit production.
- Decision Data Curator: Sources, labels, and maintains high-quality, ethically obtained datasets that keep decision models and agents fit for purpose.
- AI Legal Compliance Specialist: Interprets global AI law and ensures every decision workflow meets statutory and contractual requirements.
- AI-Human Collaboration Facilitator: Coaches teams on delegation, oversight, and critical-thinking habits when relying on autonomous decision agents.
- AI Ethical Impact Assessor: Anticipates and evaluates societal or stakeholder harms that could flow from large-scale AI-driven decisions.
- AI Regulatory Affairs Liaison: Manages day-to-day engagement with regulators and prepares filings under regimes such as the EU AI Act.
- AI Decision Support Analyst: Interprets model outputs, adds domain context, and frames action-ready options for executives.
- AI Accountability Officer: Defines ownership, logs sign-offs, and tracks provenance for every AI-assisted decision.
- AI Model Validator: Stress-tests and benchmarks decision models before they enter mission-critical workflows.
- AI Performance Optimizer: Tunes accuracy, latency, and cost of decision models and agents to meet evolving service-level targets.
- AI Fairness Auditor: Publishes fairness metrics across demographics and drives remediation plans for decision outputs.
- AI-Human Workflow Designer: Engineers end-to-end processes that balance agent autonomy with human oversight for maximal decision quality.
- AI Oversight Committee Member: Sits on an independent board providing governance for high-impact AI decision systems.
- AI Trust Facilitator: Leads transparency and reliability initiatives that build end-user confidence in AI-generated decisions.
- Decision AI Portfolio Manager: Oversees the organisation’s suite of decision models, agents, and data services, aligning them to business goals.
- AI Risk Manager: Quantifies and mitigates financial, operational, and reputational risks stemming from AI-driven decisions.
- Agent Orchestration Engineer: Designs multi-agent architectures, delegation logic, and conflict-resolution rules for complex decision chains.
- Autonomy Control Architect: Implements real-time autonomy controls, adjusting an agent’s decision scope based on human feedback, data quality, and policy constraints.
- AI Post-Deployment Alignment Lead: Continuously monitors live agents for goal-drift and retrains or intervenes to keep decisions on-mission.
- AI Data-Provenance Engineer: Automates lineage tracking so every source or retrieval cited in a decision is verifiable end-to-end.
- AI Behaviour Monitoring Specialist: Detects anomalous or unsafe decision actions in real time and triggers rapid incident response.
- AI Red-Team Engineer: Conducts adversarial testing and jailbreak attempts to expose vulnerabilities in decision pipelines.
- Decision Simulation Designer: Builds scenario sandboxes and synthetic environments to rehearse and stress-test AI-assisted decisions.
- Human-Centric Agent Designer: Ensures autonomous decision systems are built around human values, cognitive limits, and workflow realities.
- AI Explainability Translator: Converts technical rationales into clear narratives for leaders, regulators, and customers.
- AI Transparency Advocate: Champions open reporting on capabilities, limitations, and impacts of AI decision systems.
- Decision Outcome Analyst: Measures real-world results of AI-assisted decisions and feeds insights back into continuous improvement loops.
Get in touch
Please get in touch if you’d like to discuss how I can work with your leadership on shifting to Humans + AI structures and business models.