Jobs AI Cannot Replace in Australia: The Human-Advantage Roles Set to Grow Through 2030 product guide

AI Summary

Product: Australian Jobs Resistant to AI Automation — Evidence-Based Career Guide Brand: [Publisher not specified] Category: Labour Market Analysis / Career Guidance Primary Use: Identifies Australian occupations structurally resistant to AI automation and provides evidence-based projections of workforce demand through 2035.

Quick Facts

• Best For: Australian workers evaluating career decisions in an AI-disrupted labour market
• Key Benefit: Identifies which occupations face growing demand — not just displacement risk — using current government and research data
• Form Factor: Long-form editorial article with data tables, role-by-role analysis, and FAQ
• Application Method: Read to compare AI-exposed vs. human-advantage occupations; cross-reference JSA projections and ILO exposure indices

Common Questions This Guide Answers

1. Which Australian jobs are most resistant to AI automation? → Nursing, aged care, construction trades, dental assisting, paramedics, social work, and hospitality — classified as low or "not exposed" by ILO exposure indices
2. How fast will human-centred occupations grow in Australia? → Dental Assistants +26.8%, Nursing Support and Personal Care Workers +24.7%, Ambulance Officers +22.6% to 2035 (JSA 2025 projections)
3. Will AI cause mass unemployment in Australia? → No — Victoria University's 2050 simulation shows total employment will not change dramatically, but the distribution across occupations will shift significantly toward human-intensive roles

The Counternarrative the Headlines Miss

Every week, another story warns that AI is coming for Australian jobs. Rarely does the coverage answer the more useful question: which jobs is AI structurally incapable of taking? That distinction matters enormously — and it matters right now. Workers in the right occupations aren't simply "safe" from automation. They're stepping into a labour market where demand will outpace supply through 2030 and beyond, partly because AI is reshaping the economy around them.

This article identifies those occupations, breaks down the structural mechanisms that make them resistant to automation, and grounds every claim in the most current Australian evidence available. If you're weighing a career decision in an AI-disrupted market, this is the data you need. (For the full picture of which roles are most exposed, see our guide on Which Australian Jobs Are Most at Risk from AI? A Role-by-Role Breakdown.)

Why some jobs resist AI: the three structural barriers

Before getting into specific occupations, it's worth being clear on why certain jobs resist automation. The answer isn't simply that they're "human" — it's that they involve specific categories of work that current AI systems cannot replicate cost-effectively, or at all.

The International Labour Organization has produced exposure indices for more than 400 occupations, indicating the extent to which human input to each occupation will be displaced or augmented by AI. At one extreme, the most exposed occupation is data entry clerk, for which the ILO estimates 70% of tasks currently done by humans could be done or improved by AI. At the other extreme, bricklayers and dental assistants are among jobs classified as "not exposed."

Three structural barriers explain this divergence.

1. Physical dexterity in unstructured environments

AI excels in structured, predictable digital environments. It fails in chaotic, physical ones. A construction site changes every hour — ground conditions shift, materials arrive late, subcontractors make unexpected decisions, and safety hazards appear without warning. Robotics capable of navigating this variability at commercial scale remain decades away from widespread deployment. For construction, routine tasks like material handling and basic measurements will increasingly be supported by machines, while humans focus on complex, adaptive, and safety-critical work. The construction industry should expect increased "bifurcation" of its workforce, with tech-enabled workers harnessing digital tools while still requiring large numbers of on-site workers.

2. Emotional intelligence and relational care

AI can simulate empathy in text. It cannot hold a patient's hand, read the non-verbal distress of an elderly person with dementia, or make the split-second clinical judgment that distinguishes a nurse from a chatbot. Nursing, allied health, and individual support rely on empathy, clinical judgment, and communication — human-first skills that aren't soft advantages. They're hard technical requirements that AI simply cannot meet.

3. Domain expertise applied to complex, adaptive problems

CSIRO's Data61 research group notes that knowledge in the form of human expertise is large, dynamic, and non-uniform — which is precisely why it's hard to codify and automate. Workers who combine deep contextual knowledge with the ability to make judgment calls in novel situations — midwives assessing foetal distress, electricians diagnosing a fault in a non-standard installation, social workers reading a family situation — are performing tasks that remain beyond AI's reach.

The Victoria University 2050 simulation: what the modelling shows

The most rigorous Australian-specific modelling of AI's occupational impact comes from researchers at Victoria University's Centre of Policy Studies. Using a model of the Australian economy built on ILO research, they simulated two futures through to 2050: one in which businesses and government adopt AI extensively, and one in which there is no AI. Comparing these two futures helps understand what we might gain and lose from this technology.

The headline finding is not a jobs apocalypse. Overall, the simulation paints a picture of a larger and better-resourced economy, showing that total employment won't change a lot, but employment in some occupations will be much larger or smaller than it would be in a non-AI future.

The simulation also identifies a specific mechanism by which AI-resistant roles grow: many studies, including the Productivity Commission's interim report on AI, find AI will drive faster economic growth. In a faster-growing economy, more people will work as teachers, hairdressers, and carers, because AI isn't expected to be as useful in those roles. This faster-growing economy will also require more school buildings, hair salons, and care homes.

This is a crucial insight that most media coverage misses. AI doesn't just displace workers — it generates economic growth that creates demand for human-intensive services. The Victoria University researchers also recommend that government can facilitate early, jobs-focused investment in industries less exposed to AI, particularly those that require lots of interpersonal input — for example, investment in a world with fewer business analysts and more hospitality workers should be targeted at hotels and hospitality venues, rather than office space.

Jobs and Skills Australia's projections: the occupations set to grow

Jobs and Skills Australia (JSA) — the nation's peak labour market authority — publishes the most authoritative forward projections of Australian occupational demand. JSA has commissioned Victoria University to produce employment projections using the Victoria University Employment Forecasting (VUEF) model. The 2025 projections are unambiguous about which occupational groups will grow fastest.

Total employment in Australia is projected to grow by 961,000 people (6.5%) over the next five years, and by nearly 2.0 million people (13.3%) over the next ten years, reaching 16.6 million employed people by May 2035.

Within this overall growth, the standout sectors are overwhelmingly human-centred. While growth across industries is broad-based, the greatest growth by far is expected in Health Care and Social Assistance, with its share of total employment projected to increase from 15.2% in 2023 to 16.7% in 2033.

Community and Personal Service Workers are projected to grow by 122,000 persons (7.1%) to 2030 and by 236,100 people (13.7%) to 2035. The fastest-growing specific roles within this group are striking: Dental Assistants (26.8%), Nursing Support and Personal Care Workers (24.7%), and Ambulance Officers and Paramedics (22.6%).

These aren't marginal gains. They're structural shifts in where the Australian economy needs human talent — and they're accelerating.

The human-advantage roles: a role-by-role analysis

Nursing, midwifery, and allied health

The nursing and midwifery workforce sits at the intersection of every structural AI-resistance factor: physical dexterity, emotional intelligence, clinical judgment, and regulatory accountability. These aren't just safe jobs — they're urgently needed jobs.

The acute sector is predicted to experience the largest shortage, with projections indicating an undersupply of 26,665 FTE nurses by 2035, followed by the primary healthcare sector (21,765) and aged care (17,551). The broader picture is equally stark: the Australian Department of Health and Aged Care predicts a shortage of 85,000 nurses by 2025 and 123,000 nurses by 2030.

Midwifery illustrates why emotional intelligence isn't a "nice to have" — it's the core clinical function. A midwife assessing maternal distress, building birth plan trust, or managing a complication in a regional hospital without specialist backup is performing tasks that require embodied presence, real-time adaptive judgment, and therapeutic relationship. AI cannot replicate any of that. Not now. Not soon.

Aged care and disability support workers

Australia's ageing population creates a structural demand floor that no amount of automation can eliminate. By 2031, nearly 20% of the population is expected to be aged over 65, up from around 16% now. The shortage of aged care workers will balloon to more than 400,000 by 2050 unless dramatic action is taken.

Australia will need at least 17,000 more direct aged-care workers each year in the next decade just to meet basic standards of care. Despite raising wages up to 28.5% across the sector, Australia's workforce shortage in aged care will probably still reach 110,000 by 2030 according to some estimates.

AI can assist with medication reminders, monitoring, and documentation. It cannot provide the physical care, human dignity, and relational presence that aged care residents require. Policy has reinforced this: mandatory care minutes regulation sets minimum targets for the amount of direct care residents must receive each day, including support delivered by registered nurses, enrolled nurses, and personal care workers.

Construction trades and labourers

The construction sector presents one of the most compelling cases for human-advantage employment through 2030. The numbers are extraordinary. There is an estimated shortage of 141,000 construction workers, which could reach a peak of 300,000 by 2027. By occupational group, shortages for Trades Workers and Labourers will peak at approximately 126,000.

Infrastructure Australia expects construction workforce demand to peak at 521,000 workers by 2027, well above last year's projection of 417,000 workers in 2026. The drivers are structural and long-term: much of this growth comes from government-backed housing programs, energy transmission upgrades, and net-zero transition projects. Transmission projects alone account for $15 billion across the five-year outlook, while investment in social and affordable housing has climbed from $17 billion to $28 billion.

The automation argument for construction is particularly weak. Carpentry, plumbing, electrical work, and construction labouring all require fine motor dexterity, situational adaptation, and on-site problem-solving in environments that change daily. These roles remain firmly human-centred, and that's not going to change in the next decade.

Hospitality and personal services

The Victoria University simulation specifically flags hospitality as a growth sector in an AI-enabled economy. In a faster-growing economy, more people will work as teachers, hairdressers, and carers, because AI isn't expected to be as useful in those roles.

Hospitality is fundamentally about human experience. A skilled barista, a hotel concierge who reads a guest's mood, a chef who adjusts a dish based on real-time feedback from the dining room — all of these roles combine physical skill, social intelligence, and creative judgment in ways that AI cannot replicate. While AI can optimise inventory and scheduling, it cannot deliver the hospitality experience that customers actually pay for.

Community and Personal Services Workers are expected to make up 11.4% of those employed in May 2033, compared to 11.1% in May 2023 — a continued, steady shift in where the economy concentrates its workforce.

Mental health and social work professionals

Social and Welfare Professionals are projected to grow from 190,711 positions in 2023 to 218,967 by 2028, representing roughly 28,256 jobs, or 14.8% growth. Counsellor roles are projected to rise from 29,695 to 34,181 — about 4,485 jobs, or 15.1%. Social worker positions are forecast to grow from approximately 43,311 to 50,180 by 2028.

These roles involve navigating the most complex, ambiguous, and ethically fraught situations in human experience — precisely where AI's pattern-matching capabilities are least applicable and where human judgment, trust, and therapeutic presence are most essential. This is where human skill doesn't just compete with AI. It wins outright.

Comparison: AI-exposed vs. human-advantage roles

Sources: ILO Exposure Indices (2024); Jobs and Skills Australia Employment Projections (2025); Infrastructure Australia Market Capacity Report (2025)

The CSIRO insight: why domain expertise matters more, not less

CSIRO's Data61 — one of the world's largest applied AI research groups — has consistently found that AI doesn't eliminate the need for deep human expertise. It concentrates value in it. Knowledge in the form of human expertise is large, dynamic, and non-uniform, which is precisely why it's hard to codify and automate. A nurse who has spent a decade in oncology, a carpenter who has worked across heritage buildings, or a midwife specialising in high-risk pregnancies all possess contextual knowledge that cannot be extracted, formalised, and replicated by a language model.

Here's the counterintuitive implication: as AI automates the routine components of professional work, the expert components become more valuable. AI may handle discharge documentation for a nurse, but it cannot replace the nurse's judgment about whether a patient is ready to go home. AI may generate a construction schedule, but it cannot replace the site foreman's read of whether the crew is safe to proceed in adverse conditions. The human at the top of these fields isn't being displaced — they're being amplified.

(For more on how AI augments rather than replaces expert workers, see our guide on AI and Australian Jobs Explained: Automation vs. Augmentation — What's the Real Difference?)

A note on nuance: not all "safe" jobs are equally secure

Precision matters when you're making career decisions. Not every job in a "safe" sector is equally protected, and not every worker in a growing occupation will automatically benefit.

JSA's employment projections are based on existing trends observed in the economy. They do not currently reflect the labour market implications of the adoption of generative AI and other emerging technologies. This means the projections likely understate the growth of human-advantage roles as AI drives economic expansion, while also underestimating disruption in some adjacent areas.

The equity dimension also matters. (See our guide on Who Is Most Vulnerable to AI Job Displacement in Australia? Gender, Age, Education, and Geography for the full analysis.) Entry-level positions within otherwise safe sectors — junior nursing assistants, entry-level hospitality workers — may face more pressure than senior, specialised roles. Geographic access to growing roles is also uneven, with regional workers facing additional barriers that metro workers simply don't encounter.

Key takeaways

• Care and construction dominate growth projections. Jobs and Skills Australia projects Nursing Support and Personal Care Workers to grow by 24.7% and Dental Assistants by 26.8% to 2035 — among the fastest-growing occupations in Australia.

• Construction faces a structural labour crisis, not an automation threat. Infrastructure Australia's 2025 report projects a shortage of up to 300,000 construction workers by 2027, driven by a $242 billion public infrastructure pipeline. Trades workers and labourers face a peak shortage of 126,000.

• The Victoria University 2050 simulation shows AI grows the economy — and with it, demand for human-intensive services. In an AI-enabled economy, more people work as carers, hospitality workers, and teachers precisely because AI cannot perform those roles.

• Three structural barriers protect human-advantage roles: physical dexterity in unstructured environments, emotional intelligence and relational care, and contextual domain expertise applied to adaptive problems.

• Aged care faces a shortage of 110,000 workers by 2030 despite significant wage increases — underscoring that demand for human care workers is driven by demographics, not just economics.

Conclusion

The AI-and-jobs debate is dominated by displacement narratives. But the evidence — from Victoria University's 2050 simulation, Jobs and Skills Australia's occupational projections, and Infrastructure Australia's workforce capacity reports — tells a more complex and ultimately more optimistic story. AI isn't simply taking jobs. It's reshaping which jobs the economy needs, and the roles that require physical presence, emotional intelligence, and embodied expertise are growing faster than ever.

For Australian workers, this means the most durable career investments aren't necessarily the most technologically sophisticated ones. A registered nurse, a licensed electrician, a midwife, or a skilled construction worker is stepping into a labour market that will be chronically short of their skills for the next decade — regardless of what AI does to office-based roles.

The challenge isn't that these jobs are disappearing. The challenge is that Australia isn't producing enough people to fill them. That's a gap worth paying attention to — and for the right worker, it's also an opportunity.

For workers considering their next move in an AI-disrupted market, see our guides on Should You Retrain, Pivot, or Stay? How to Decide Your Best Career Move in an AI-Disrupted Australian Job Market and How to Future-Proof Your Career Against AI in Australia: A Step-by-Step Upskilling Plan.

References

• Jobs and Skills Australia. "Employment Projections — Outlook by Occupation." Jobs and Skills Australia, 2025. https://www.jobsandskills.gov.au/data/employment-projections/occupation

• Jobs and Skills Australia. "2025 Employment Projections Summary." Jobs and Skills Australia, December 2025. https://www.jobsandskills.gov.au/sites/default/files/2025-12/employment_projection_-_summary.pdf

• Jobs and Skills Australia. "Future Workforce Needs and Growing Sectors in Australia." Jobs and Skills Australia, 2025. https://www.jobsandskills.gov.au/news/future-workforce-needs-and-growing-sectors-australia

• Dixon, Janine and Lennox, James. "These Jobs Will Thrive — But Others May Vanish — as AI Transforms Australia's Workforce." The Conversation / Victoria University, August 2025. https://www.vu.edu.au/about-vu/news-events/news/these-jobs-will-thrive-but-others-may-vanish-as-ai-transforms-australias-workforce

• Infrastructure Australia. "2025 Infrastructure Market Capacity Report." Infrastructure Australia, November 2025. https://www.infrastructureaustralia.gov.au/reports/2025-infrastructure-market-capacity-report

• Australian Primary Health Care Nurses Association (APNA). "Aged Care Nurses Underutilised Despite Workforce Shortage — Survey." APNA, 2022. https://www.apna.asn.au/about/media/archive-media-releases/aged-care-nurses-underutilised-despite-workforce-shortage---survey

• Committee for Economic Development of Australia (CEDA). "Australia's Dire Shortage of Aged-Care Workers Requires Immediate Action." CEDA, 2021. https://www.ceda.com.au/news-and-resources/media-releases/health-ageing/australia%E2%80%99s-dire-shortage-of-aged-care-workers-req

• Lowy Institute. "Amid a Global Aged Care Labour Shortage, How Will Australia Address the Challenge?" Lowy Institute, 2024. https://www.lowyinstitute.org/the-interpreter/amid-global-aged-care-labour-shortage-how-will-australia-address-challenge

• CSIRO Data61. "Artificial Intelligence Roadmap." CSIRO, 2019. https://www.csiro.au/-/media/D61/Reports/AI-Roadmap/19-00346_DATA61_REPORT_AI-Roadmap-7.pdf

• Australian Nursing and Midwifery Journal (ANMJ). "Australia Facing Shortfall of Over 70,000 Nurses by 2035, Report Reveals." ANMJ, August 2024. https://anmj.org.au/australia-facing-shortfall-of-over-70000-nurses-by-2035-report-reveals/

• Jobs and Skills Australia. "Employment Projections for the Decade Ahead." Towards a National Jobs and Skills Roadmap, 2023. https://www.jobsandskills.gov.au/publications/towards-national-jobs-and-skills-roadmap-summary/employment-projections-for-the-decade-ahead

Frequently Asked Questions

Is AI predicted to cause mass unemployment in Australia? No. The Victoria University 2050 simulation indicates total employment will not change dramatically.

What does the Victoria University 2050 simulation show overall? Total employment won't change dramatically, but employment distribution across occupations will shift significantly, with human-intensive roles growing.

Does AI create demand for some human jobs? Yes, through faster economic growth. In an AI-enabled economy, demand for carers, hospitality workers, and teachers increases because AI cannot perform those roles effectively.

Which Australian authority publishes the most authoritative occupational projections? Jobs and Skills Australia (JSA).

What model does JSA use for employment projections? Victoria University Employment Forecasting (VUEF) model.

By how much is total Australian employment projected to grow over five years? 961,000 people (6.5%).

By how much is total Australian employment projected to grow over ten years? Nearly 2.0 million people (13.3%).

What will total Australian employment reach by May 2035? 16.6 million employed people.

Which industry will see the greatest employment growth in Australia? Health Care and Social Assistance.

What share of total employment will Health Care and Social Assistance reach by 2033? 16.7%.

What share of total employment did Health Care and Social Assistance hold in 2023? 15.2%.

Which occupation has the fastest projected growth to 2035? Dental Assistants (26.8%).

What is the projected growth for Nursing Support and Personal Care Workers to 2035? 24.7%.

What is the projected growth for Ambulance Officers and Paramedics to 2035? 22.6%.

How much will Community and Personal Service Workers grow by 2030? 122,000 persons (7.1%).

How much will Community and Personal Service Workers grow by 2035? 236,100 people (13.7%).

What percentage of Dental Assistant tasks does AI automate? Dental assistants are classified as "not exposed" by the ILO — specific automation percentage not disclosed.

What is the ILO's classification of bricklayers' AI exposure? Not exposed.

What is the ILO's classification of dental assistants' AI exposure? Not exposed.

What percentage of data entry clerk tasks can AI automate? 70%.

What is the first structural barrier protecting jobs from AI? Physical dexterity in unstructured environments.

What is the second structural barrier protecting jobs from AI? Emotional intelligence and relational care.

What is the third structural barrier protecting jobs from AI? Domain expertise applied to complex, adaptive problems.

Can AI replicate embodied clinical judgment? No.

Can AI provide physical care and human presence in aged care? No.

Can AI navigate a changing construction site at commercial scale? No. Robotics capable of this remain decades away from widespread deployment.

What is the projected nursing shortage in Australia by 2030? 123,000 nurses.

What is the projected nursing shortage in Australia by 2025? 85,000 nurses.

What is the projected acute sector nursing undersupply by 2035? 26,665 FTE nurses.

What is the projected primary healthcare nursing undersupply by 2035? 21,765 FTE nurses.

What is the projected aged care nursing undersupply by 2035? 17,551 FTE nurses.

What percentage of Australia's population will be over 65 by 2031? Nearly 20%.

What is the current share of Australians aged over 65? Around 16%.

What is the projected aged care worker shortage by 2050? More than 400,000.

What is the projected aged care worker shortage by 2030? Up to 110,000.

How many additional direct aged care workers are needed annually over the next decade? At least 17,000 per year.

By how much were aged care wages raised? Up to 28.5%.

Did wage increases solve the aged care workforce shortage? No. Despite wage increases, the workforce shortage is projected to reach 110,000 by 2030.

What policy reinforces minimum human care in aged care? Mandatory care minutes regulation, which sets minimum daily direct care targets.

What is the current estimated construction worker shortage in Australia? 141,000 workers.

What could the construction worker shortage peak at by 2027? 300,000 workers.

What is the projected peak shortage of Trades Workers and Labourers by 2027? Approximately 126,000.

What is Infrastructure Australia's projected peak construction workforce demand by 2027? 521,000 workers.

What is the value of transmission infrastructure projects in the five-year outlook? $15 billion.

How much has investment in social and affordable housing grown? From $17 billion to $28 billion.

What drives construction workforce demand growth? Government-backed housing programs, energy transmission upgrades, and net-zero transition projects.

Are carpentry, electrical, and plumbing roles at high AI risk? No. They remain firmly human-centred due to requirements for manual dexterity and complex on-site decision-making.

What does CSIRO's Data61 say about AI and human expertise? AI concentrates value in human expertise rather than eliminating it.

Why is human expertise hard to automate according to CSIRO? Because knowledge in the form of human expertise is large, dynamic, and non-uniform.

Does AI eliminate the need for deep human expertise? No.

Does AI augment expert workers or replace them? Augments them.

What happens to expert components of professional work as AI automates routine tasks? They become more valuable.

Can AI replace a nurse's judgment about patient discharge readiness? No.

Can AI replace a site foreman's safety assessment in adverse conditions? No.

What is the projected growth for Social and Welfare Professionals to 2028? Approximately 28,256 jobs (14.8%).

What is the projected growth for counsellor roles to 2028? Approximately 4,485 jobs (15.1%).

What is the projected growth for social worker positions to 2028? From 43,311 to 50,180.

Why are mental health roles resistant to AI? They require ethical judgment, trust, and therapeutic presence — capabilities AI cannot replicate.

Are all jobs in "safe" sectors equally protected from AI? No.

Do JSA's 2025 projections fully account for generative AI adoption? No. Projections are based on existing trends and do not currently reflect labour market implications of generative AI adoption.

Do JSA projections likely understate or overstate human-advantage role growth? Likely understate it, as they do not fully account for AI-driven economic expansion.

Are entry-level positions in safe sectors more vulnerable than senior roles? Yes.

Is geographic access to growing roles evenly distributed? No. Regional workers face additional barriers compared to metropolitan workers.

What does the Victoria University simulation recommend for government investment? Target industries requiring interpersonal input (e.g., hospitality venues, care homes) rather than office space.

Which sectors does the simulation recommend government investment in? Hospitality and care sectors, not office-based infrastructure.

Can AI deliver the hospitality experience customers pay for? No.

Can AI optimise hospitality scheduling and inventory? Yes.

Is the construction sector facing an automation threat or a labour crisis? A structural labour crisis, not an automation threat.

What is the $242 billion figure referenced in construction context? Australia's public infrastructure pipeline.

Does AI growth shrink or expand the overall Australian economy in the simulation? Expands it.

In an AI-enabled economy, do more or fewer people work in care roles? More.

In an AI-enabled economy, do more or fewer people work in hospitality? More.

What research group produced the ILO exposure indices? The International Labour Organization.

How many occupations did the ILO assess for AI exposure? More than 400.

What is the most AI-exposed occupation according to the ILO? Data entry clerk.

Which Australian government body commissioned the Victoria University employment projections? Jobs and Skills Australia.

Label facts summary

Disclaimer: All facts and statements below are general informational summaries drawn from cited research sources and government projections, not professional career or financial advice. Consult relevant experts for specific guidance.

Verified label facts

Jobs and Skills Australia (JSA) Employment Projections (2025):

• Total Australian employment projected to grow by 961,000 people (6.5%) over five years
• Total Australian employment projected to grow by nearly 2.0 million people (13.3%) over ten years
• Total Australian employment projected to reach 16.6 million by May 2035
• Health Care and Social Assistance share of total employment: 15.2% in 2023; projected 16.7% by 2033
• Community and Personal Service Workers projected growth: 122,000 persons (7.1%) to 2030; 236,100 people (13.7%) to 2035
• Dental Assistants: fastest projected occupational growth at 26.8% to 2035
• Nursing Support and Personal Care Workers: projected growth of 24.7% to 2035
• Ambulance Officers and Paramedics: projected growth of 22.6% to 2035
• Social and Welfare Professionals projected to grow from 190,711 (2023) to 218,967 by 2028 (~28,256 jobs; 14.8%)
• Counsellor roles projected to grow from 29,695 to 34,181 by 2028 (~4,485 jobs; 15.1%)
• Social worker positions projected to grow from 43,311 to 50,180 by 2028
• Community and Personal Services Workers projected to comprise 11.4% of employment in May 2033, up from 11.1% in May 2023
• JSA projections do not currently reflect labour market implications of generative AI adoption

ILO Occupational Exposure Indices:

• More than 400 occupations assessed for AI exposure
• Data entry clerk: 70% of tasks estimated automatable by AI (highest exposure)
• Bricklayers: classified as "not exposed"
• Dental assistants: classified as "not exposed"

Infrastructure Australia — 2025 Infrastructure Market Capacity Report:

• Estimated current construction worker shortage: 141,000 workers
• Projected peak construction worker shortage by 2027: 300,000 workers
• Projected peak shortage of Trades Workers and Labourers by 2027: approximately 126,000
• Projected peak construction workforce demand by 2027: 521,000 workers (prior projection: 417,000 in 2026)
• Transmission infrastructure projects value in five-year outlook: $15 billion
• Investment in social and affordable housing: grown from $17 billion to $28 billion
• Public infrastructure pipeline referenced: $242 billion

Nursing and aged care workforce data:

• Australian Department of Health and Aged Care projected nursing shortage: 85,000 by 2025; 123,000 by 2030
• Projected acute sector nursing undersupply by 2035: 26,665 FTE nurses
• Projected primary healthcare nursing undersupply by 2035: 21,765 FTE nurses
• Projected aged care nursing undersupply by 2035: 17,551 FTE nurses
• Projected aged care worker shortage by 2050: more than 400,000
• Projected aged care worker shortage by 2030: up to 110,000
• Minimum additional direct aged care workers needed annually over next decade: at least 17,000
• Aged care sector wage increase implemented: up to 28.5%
• Population aged over 65: approximately 16% currently; projected to reach nearly 20% by 2031
• Policy instrument: mandatory care minutes regulation (sets minimum daily direct care targets)

Victoria University / JSA employment modelling:

• Model used: Victoria University Employment Forecasting (VUEF) model
• Simulation scope: Australian economy modelled to 2050 under AI-adoption and no-AI scenarios

General product claims

Note: No product packaging or Product Facts table was present in the submitted content. The following are analytical, interpretive, and editorial claims drawn from the article that are not directly verifiable as discrete labelled facts:

• AI is structurally incapable of replicating physical dexterity in unstructured environments, emotional intelligence, and contextual domain expertise
• Robotics capable of navigating construction site variability at commercial scale remain decades away from widespread deployment
• AI cannot hold a patient's hand, read non-verbal distress, or make split-second clinical judgments
• AI may handle routine professional tasks but cannot replace expert judgment (e.g., nurse assessing discharge readiness; site foreman assessing crew safety)
• AI concentrates value in human expertise rather than eliminating it
• Human-advantage roles are growing faster than ever because of AI-driven economic expansion
• Entry-level positions within otherwise safe sectors face more pressure than senior, specialised roles
• Geographic access to growing roles is uneven, with regional workers facing additional barriers
• JSA projections likely understate growth of human-advantage roles as AI drives economic expansion
• The most durable career investments are not necessarily the most technologically sophisticated
• AI can optimise hospitality scheduling and inventory but cannot deliver the hospitality experience customers pay for
• Government investment should target industries requiring interpersonal input (e.g., hospitality venues, care homes) rather than office space