AI Job Shake-Up: History Says Disruption, Then Boom—But Reskilling Urgently Needed

AI headlines alarm: Goldman Sachs estimates 300 million full-time jobs globally could see two-thirds tasks automated by 2030, fueling short-term layoffs like WiseTech's 2,000. Yet history—from electricity to internet—shows initial pain yields net gains if we adapt. We're early (2023-2026: <1% net loss projected).

Emerging Jobs Post-AI

Research (McKinsey, WEF, Forrester) forecasts:

• AI/ML Engineers & Trainers (2x growth): Fine-tuning models.

• Prompt Engineers/Human-AI Collaborators: Overseeing agents.

• Data Governance Specialists: Ethics/compliance.

• Sustainability Analysts: AI-optimized green tech.

• Healthcare/Personalized Ed Tutors: AI-augmented services.

Australia: 50% firms eye cuts, but +500K AI roles by 2030 if upskilled.

Reality Check: Transition uneven—mid-skill workers vulnerable (IMF: 40% exposure). Unemployment may rise 0.5pp short-term. Positive? Yes, with policy/reskilling.