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Australia's labour market is showing signs of sustained momentum, with a notable increase in hours worked alongside job growth, according to Ben Thompson, CEO and co-founder of Employment Hero. The latest data reveals a complex picture of the employment landscape, where opportunities and challenges coexist.

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"More Australians in jobs tells us the labour market still has momentum," Thompson stated, highlighting the positive trend. However, he pointed out that the critical information lies in the continued rise in hours worked. "When hours worked rise alongside jobs, it points to stronger utilisation, not just more people picking up small shifts," he explained. This trend is encouraging for workers seeking extra hours, yet the steady unemployment rate indicates fierce competition for jobs among those still seeking employment.

The Australian Bureau of Statistics (ABS) headline figures reveal a labour market that appears resilient, but Thompson cautioned that they do not fully capture the dynamics within the small and medium-sized business (SMB) sector. He noted that employers are increasingly valuing experience, even as younger candidates flood the job market. "Our data shows employers are increasingly paying for experience, even as more younger candidates enter the market," Thompson said.

One of the most striking findings from Employment Hero's data is the increase in hours worked by Australians aged 55 and over, which has risen by 1.2% year-on-year. This demographic is also experiencing the strongest wage growth, at an impressive 5.9%. "That suggests older Australians are being pulled into roles where capability and judgement are harder to replace," Thompson observed. This trend underscores the growing demand for experienced workers in roles that require specialised skills and decision-making abilities.

Despite the positive indicators, Thompson acknowledged that the benefits of this labour market momentum are not evenly distributed. "It’s proving to be a resilient labour market with genuine momentum, but the gains are not evenly shared and not everyone is getting the work they want," he said. This uneven distribution of opportunities remains a challenge for policymakers and job seekers alike.

The current state of the labour market also complicates the case for near-term interest rate cuts, according to Thompson. While the increase in hours worked is a positive sign, the steady unemployment rate suggests that the competition for jobs remains intense. This scenario presents a dilemma for economic policymakers, who must balance the need to support economic growth with the risk of overheating the labour market.

Thompson's insights into the labour market highlight the nuanced nature of employment trends in Australia. While the overall picture is one of resilience and growth, there are underlying complexities that cannot be ignored. The increasing value placed on experience, particularly among older workers, reflects a shift in employer priorities and the evolving demands of the job market.

As Australia navigates this dynamic employment landscape, the focus will likely remain on addressing the challenges faced by those still seeking work and ensuring that the gains in employment are more broadly shared. The insights provided by Thompson and Employment Hero offer a valuable perspective on the current state of the labour market and the factors driving its momentum.

Australia's labour market continues to demonstrate resilience and growth, with an increase in hours worked and a focus on experienced workers. However, the challenges of uneven opportunity distribution and intense job competition persist. As the nation moves forward, these factors will play a crucial role in shaping the future of employment and economic policy.

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Australia's labour market is showing signs of sustained momentum, with a notable increase in hours worked alongside job growth, according to Ben Thompson, CEO and co-founder of Employment Hero. The latest data reveals a complex picture of the employment landscape, where opportunities and challenges coexist.

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In a surprising revelation that challenges official statistics, the latest data from Employment Hero has highlighted a significant wage growth in Australia's small and medium business (SMB) sector. According to Ben Thompson, CEO and co-founder of Employment Hero, wage increases in this sector are outpacing the figures reported by the Australian Bureau of Statistics (ABS).

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"While ABS figures may show wage growth hovering around 3.4% for the private sector, the latest Employment Hero data shows those figures are much stronger for the SMB sector, which represents 99% of all Australian businesses," Thompson explained. "Across the hundreds of thousands of small and medium businesses on the Employment Hero platform, wages are up 5.3% year-on-year."

The data underscores the unique pressures faced by small businesses as they strive to remain competitive in a challenging labour market. "Small businesses are paying more because they have to," Thompson continued. "They're competing for talent against larger employers with deeper pockets and in a labour market that's still tight in pockets like manufacturing, science and technology."

One of the most notable findings from Employment Hero's data is the demographic experiencing the strongest wage growth. Contrary to the common perception that younger workers benefit most from wage increases, it is actually older employees who are seeing the largest gains. Thompson noted, "What's particularly striking is where the wage pressure is strongest. Workers aged 55 and over are seeing the biggest gains at 5.9% year-on-year, flipping the common assumption that wage growth favours younger workers."

This trend suggests that experience and judgement are increasingly valued by employers, particularly as they seek individuals capable of navigating complexity independently. "Experience and judgement are commanding a premium, particularly as employers look for people who can navigate complexity without hand-holding," Thompson said. Meanwhile, the influx of young people entering the workforce is helping to ease pressure on starting salaries, offering some relief to employers concerned about escalating wage costs.

The findings come at a time when economic conditions are becoming more challenging for businesses across the board. With the Reserve Bank of Australia (RBA) recently raising interest rates to 3.85%, companies are grappling with rising costs and the prospect of sustained higher rates. "Coming off this month’s rate rise to 3.85%, today's number puts employers in an increasingly difficult position," Thompson observed. "Wages are growing faster than official figures suggest, costs are rising, and the RBA is signalling rates will stay higher for longer."

This situation presents a complex landscape for small and medium businesses, which form the backbone of the Australian economy. As they navigate these challenges, the need to attract and retain skilled workers becomes ever more crucial. The higher wage growth in the SMB sector reflects the intense competition for talent and the necessity for smaller businesses to offer competitive compensation packages to attract and retain skilled employees.

The Employment Hero data provides a valuable lens through which to view the current state of the labour market, highlighting the distinct pressures and opportunities faced by different segments of the workforce. As the economic environment continues to evolve, these insights will be crucial for policymakers, businesses, and employees alike.

In summary, the latest findings from Employment Hero reveal a dynamic and competitive landscape for small and medium businesses in Australia. With wage growth outpacing official figures, particularly among older workers, these businesses are navigating a complex environment shaped by rising costs and a tight labour market. As they adapt to these challenges, the emphasis on experience and skill continues to shape the future of work in the SMB sector.

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In a surprising revelation that challenges official statistics, the latest data from Employment Hero has highlighted a significant wage growth in Australia's small and medium business (SMB) sector. According to Ben Thompson, CEO and co-founder of Employment Hero, wage increases in this sector are outpacing the figures reported by the Australian Bureau of Statistics (ABS).

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New data from the Payment Times Reporting Regulator (PTRR) has revealed that large businesses continue to delay payments to small suppliers, despite the growing economic pressures. The PTRR has responded by launching its inaugural Fast Small Business Payer List, aiming to publicly identify companies that are either meeting or failing to meet timely payment obligations.

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The release of this list comes as a significant move to address the ongoing issue of delayed payments, which has been a persistent challenge for small and medium-sized businesses (SMBs) in Australia. Ian Boyd, General Manager for ANZ at GoCardless, weighed in on the findings, stating, "Yes, we’ve seen the Payment Times Reporting Regulator’s (PTRR) findings and while positive reinforcement is very nice, negative publicity for the biggest offenders may be what it takes to get real change."

Boyd's comments underscore the frustration felt by many small business owners who have been grappling with the financial strain caused by delayed payments. According to GoCardless's recent Pursuing Payments report, nearly half of all business decision-makers have reported longer wait times for payments compared to the previous year. "Now, we're seeing it reflected in the official numbers, with the slowest payers blowing out from 58 to 64 days," Boyd noted. "It’s clear that the late payment crisis in Australia is accelerating."

The ramifications of these delays extend beyond mere inconvenience. Boyd highlighted the broader economic impact, explaining, "The knock-on effects for our economy are serious. More than a third of SMBs have been forced onto credit cards or loans just to bridge cash flow gaps from late payments alone, effectively paying interest on money they're already owed." This financial juggling act not only affects the immediate cash flow of small businesses but also has a ripple effect throughout the supply chain, as these businesses may then delay payments to their own suppliers.

The situation is exacerbated by the significant amount of time small businesses spend on chasing overdue payments. Boyd pointed out that, "When small businesses are losing an average of 78 hours a year chasing invoices instead of serving customers, that's productive capacity being drained from an already stretched economy." This loss of productivity is particularly concerning as businesses strive to recover and grow amidst a challenging economic landscape.

Despite the grim statistics, Boyd remains optimistic about potential solutions. He advocates for the adoption of technology to streamline payment processes, stating, "The good news is this is a solvable problem. Automating payment collection removes the awkward conversations and manual follow-ups that see so many invoices slip through the cracks." With two-thirds of Australian SMBs expressing interest in adopting such technologies, the challenge now lies in converting this interest into tangible action.

Boyd emphasised the urgency of this transition, warning that without swift action, more businesses could face closure. "The challenge now is turning that interest into action before more businesses are forced to close their doors," he said. The PTRR’s Fast Small Business Payer List could serve as a catalyst for change, encouraging large businesses to prioritise timely payments and adopt more efficient payment systems.

As the economic environment continues to tighten, the pressure is mounting on big businesses to address their payment practices. The PTRR's initiative to publicly name and shame late payers may be a step towards holding these companies accountable, ensuring that small businesses receive the payments they are owed promptly.

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New data from the Payment Times Reporting Regulator (PTRR) has revealed that large businesses continue to delay payments to small suppliers, despite the growing economic pressures. The PTRR has responded by launching its inaugural Fast Small Business Payer List, aiming to publicly identify companies that are either meeting or failing to meet timely payment obligations.

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January isn’t just a fresh calendar page; it’s an underpriced window to make high‑conviction decisions before the competitive noise returns. With budgets locked, risk appetites clear and board agendas still malleable, disciplined investors can reweight portfolios, lock in financing, and set efficiency programs that compound for the next 18–24 months. The smartest executives use January to translate strategy into capital allocation and operating milestones—especially across AI, property and impact. The cost of waiting is real: compounding works both ways, for returns and for opportunity loss.

" ["fulltext"]=> string(7684) "

Here’s the key implication for Australian decision-makers: due to our July–June financial year, January functions as a mid‑year reset and a low‑distraction period. That makes it uniquely valuable for bold, data‑led reallocation. Early movers who set 2026 targets now—then wire those targets into budgets, governance and technology roadmaps—secure a compounding advantage measured in basis points and market share, not platitudes.

The January advantage: timing alpha in planning and capital allocation

In January, three variables align: clarity (budgets and risk parameters are set), capacity (stakeholders are reachable and diaries are lighter), and cadence (new KPIs and OKRs can still be shaped before boards reconvene). Treat January as a decision velocity play: make five-year bets, three-year platforms, and 12‑month productivity pushes under one umbrella.

Use a 70‑20‑10 capital allocation framework: 70 per cent to core productivity and resilience (e.g., AI‑enabled process automation), 20 per cent to adjacencies (new customer segments or channels), 10 per cent to options (moonshots and partnerships). Pair this with a barbell risk posture: hold cashflow‑generative assets on one side (defensive property, profitable SaaS, infrastructure) and selective growth options on the other (AI commercialisation, climate technologies), minimising the mushy middle.

Market context: signals that matter for 2026

Two structural signals should guide January decisions. First, platform power remains entrenched. The ACCC reports Google retained nearly 94 per cent search market share in Australia as recently as August 2024—evidence that distribution moats are hard to crack and partnership beats head‑on competition for most firms. Second, labour and technology dynamics are shifting. The World Economic Forum’s Future of Jobs 2025 finds slower growth is expected to displace 1.6 million roles globally by 2030, even as new tasks emerge—underscoring the imperative to invest in reskilling and automation with clear ROI models.

On AI specifically, the tone bifurcates. McKinsey’s 2025 analysis argues, “AI now is like the internet many years ago: The risk for business leaders is not thinking too big, but rather too small.” Yet contrarian commentary cautions that many AI leaders may not grow into their valuations, with cash flows ultimately arbitrating hype. Sensible takeaway: pursue aggressive adoption targets while maintaining discipline on unit economics and payback periods.

Competitive advantage: invest into Australia’s commercialisation gap

Australia’s AI ecosystem has strong adoption but a documented gap in commercialisation, according to a 2025 ecosystem review. That gap is opportunity. Corporate investors and founders can create alpha by converting proven use cases into monetised products: domain‑specific copilots in tax, health or logistics; privacy‑preserving analytics; and compliance tooling tailored to Australian regulations.

Public sector signals matter too. The Australian Taxation Office has examined governance for general‑purpose AI, and the government’s AI Ethics Principles (2019) already set a baseline. Companies that internalise these principles early—fairness, privacy, accountability—gain speed with regulators and enterprise buyers, shrinking sales cycles in 2026.

Impact investing adds a second wedge of advantage. The Global Impact Investing Network notes the breadth of opportunities to finance social and environmental solutions. For Australian portfolios, that translates to distributed energy, efficient buildings, and outcomes‑based health contracts—areas with measurable impact and potential inflation‑linked returns.

Implementation reality: a January playbook that sticks

Translate ambition into an operating system:

- Scope three horizons now: H1 (12 months, EBITDA accretive), H2 (24–36 months, growth adjacencies), H3 (options). Tie each to hurdle rates and exit criteria.

- Lock ROI guardrails: for automation and AI, target 12–24‑month payback and 15–25 per cent IRR on pilots before scaling. Codify a stage‑gate that halts projects missing interim value milestones.

- Secure data readiness: run a January data audit—sources, quality, access rights, retention, and consent. No clean, permissioned data equals no durable AI ROI.

- Property and real assets: if property is in scope, use seasonal liquidity to pre‑clear finance, then act into February–March listings. Leverage suburb‑level data sets to validate rental yields, vacancy and infrastructure pipelines before bidding.

- Funding: non‑bank lenders can offer flexibility when banks move slowly post‑holidays; stress test variable rates and covenant headroom for 300–400 bps shocks.

Technical deep dive: what general‑purpose AI means for risk and returns

General‑purpose AI (GPAI) can be adapted across functions—customer support, coding, knowledge work. The value stack is four layers: foundation models; orchestration (prompting, agents, tools); data pipelines (ETL, vector stores, governance); and application UX. Most enterprises will not build models; they will differentiate with proprietary data and domain workflows.

Risk lives where data meets model. Align with Australia’s AI Ethics Principles and adopt model risk management: document use cases, test for drift and bias, implement human‑in‑the‑loop on high‑stakes tasks, and create audit trails. The ATO’s focus on governance is a relevant public‑sector signal: strong guardrails enable faster scaling, not slower.

Cost discipline is technical too. Track tokens, context windows, and retrieval efficiency. Introduce caching and fine‑tuned smaller models for repetitive tasks to cut inference costs by 30–70 per cent versus default large models, while protecting accuracy with robust evaluation harnesses.

Scenarios for 2026: plan now, don’t predict

Build a three‑scenario matrix and pre‑wire actions:

- Soft‑landing productivity boom: Inflation moderates; AI lifts margins. Action: accelerate hiring for data and change management; lock multi‑year vendor rates.

- Mid‑cycle slowdown: Growth cools; valuations compress. Action: pivot to unit‑economics wins, extend runway by 12 months, and acquire distressed assets in adjacencies.

- Regulatory snap‑back: New AI and privacy rules increase compliance cost. Action: use January to implement privacy‑by‑design, model registries, and DPIAs so you can scale while competitors pause.

Governance and measurement: make it board‑ready

Convert vision into board‑grade dashboards: monthly value realisation (cash savings, revenue lift), AI risk posture, impact metrics, and capital at risk by horizon. Tie executive incentives to delivered outcomes, not announced programs. Importantly, anchor decisions to platform realities: with Google controlling ~94 per cent of search locally, partner where the moat is deep and compete where your proprietary data creates leverage.

The move now

January’s gift is signal and space. Use it to allocate capital to AI commercialisation where Australia is under‑served, to impact assets with measurable cashflows, and to property where data validates yield. Be bold, but insist on clean data, testable hypotheses and short paybacks. As McKinsey notes, the greater risk is thinking too small—just make sure the maths works when the hype fades.

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• Yes

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January isn’t just a fresh calendar page; it’s an underpriced window to make high‑conviction decisions before the competitive noise returns. With budgets locked, risk appetites clear and board agendas still malleable, disciplined investors can reweight portfolios, lock in financing, and set efficiency programs that compound for the next 18–24 months. The smartest executives use January to translate strategy into capital allocation and operating milestones—especially across AI, property and impact. The cost of waiting is real: compounding works both ways, for returns and for opportunity loss.

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A year defined by rate cuts, lender policy resets and government schemes reshaped Australia’s mortgage and finance market. This case study dissects how leading brokerages converted macro whiplash into operational gains by industrialising decision-making, digitising distribution and de-risking AI adoption. The result: a playbook for building a rate‑agnostic growth engine as the cycle softens. For boards and CEOs, the lesson is clear—capability beats prediction.

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Context

In 2025, the Australian lending landscape rewired at speed. The Reserve Bank of Australia delivered multiple cash rate reductions, including the first cut since 2020, taking the cash rate down by 25 basis points to 4.10%. Major lenders adjusted credit policies, while government-backed schemes for first home buyers and investors widened access. Property dynamics added another layer: home seller profitability reached a 20‑year high, and tight supply in commercial assets stoked competitive bidding. In parallel, digital distribution concentrated further—Australia’s competition regulator noted Google’s search share remained near 94% through 2024—shaping how borrowers found brokers and how brokers found demand.

Signals to executives were mixed: easing rates supported activity, but margin pressure, labour uncertainty and compliance complexity hardened. The strategic question became whether to chase the cycle or build a growth engine resilient to it.

Decision

Leading brokerages and mid-tier lenders made three linked choices:

• Operationalise the cycle: build a playbook to monetise each rate move rather than guess the next one. That meant serviceability recalculations at portfolio scale, pre‑approved refinance campaigns and targeted policy switches as lenders tweaked settings.
• Digitise distribution where it actually converts: with Google’s near‑ubiquitous share, brokers prioritised search-led funnels, first‑party data capture and content that mapped to borrower intent (e.g., “refinance after a 25 bp cut”, “LVR under new FHB scheme”).
• Adopt AI with governance-first discipline: taking cues from the Australian Government’s AI Ethics Principles (2019) and the ATO’s documented governance approach, firms prioritised safe automation—document classification, income verification assistance and advice quality checks—over headline-grabbing experiments.

Using a simple strategy lens (PESTEL + Five Forces), the moves made sense. Policy and economic shifts created demand volatility; technology shifted bargaining power to discoverability and speed; regulatory expectations raised compliance costs. Advantage accrued to organisations that could process new rules faster, be found online first, and evidence responsible AI use to protect their licences to operate.

Implementation

Execution clustered around three streams:

1) Rate-cycle playbook

• Serviceability engines: centralised recalculation of buffers and borrowing capacity after each RBA move and major-lender policy update, auto‑flagging clients who regained eligibility.
• Scheme orchestration: eligibility rules for first home buyer and investor programmes embedded into CRM workflows, reducing manual triage and accelerating approvals.
• Portfolio heatmaps: segmentation by repayment stress, time since last review and equity position (benefiting from the 20‑year high in resale gains) to prioritise outreach.

2) Digital distribution where demand concentrates

• Search ROI discipline: given the ACCC’s finding that Google holds nearly 94% share, brokers treated SEO/SEM as the primary performance channel, using landing pages tied to policy keywords (e.g., lender‑specific credit changes) and schema markup to win answer boxes.
• First‑party data design: consented data capture (serviceability calculators, pre‑assessment forms) lowered reliance on third‑party cookies and reduced paid media waste.
• Measurement architecture: consistent UTMs and call tracking connected media spend to lodged applications, not clicks—a critical shift amid rising acquisition costs.

3) AI with a safety case

• Technical spine: document ingestion pipelines, OCR, and model‑assisted income and expense classification, with humans-in-the-loop for credit decisions.
• Governance: model cards, change logs and bias checks aligned to Australia’s AI Ethics Principles; the ATO’s governance approach offered a public-sector benchmark for oversight and auditability.
• Controls: clear “no-go” zones (e.g., no fully automated credit determinations), role‑based access, and prompt libraries that restricted sensitive data exposure.

Results (with numbers)

Market conditions created measurable triggers; disciplined operators monetised them:

• Rate signal monetisation: the initial 25 bp cut to a 4.10% cash rate was used as a campaign anchor (“review at 4.10%”), generating time‑boxed refinance pipelines and policy‑switch opportunities. Firms reported faster quote-to-application cycles where serviceability recalculation was automated.
• Search concentration: with Google at ~94% share, brokers that shipped high‑intent content and structured data captured disproportionate impressions and inbound calls in the weeks following rate moves and scheme announcements, reducing dependency on lower‑yield social traffic.
• Equity-driven activity: the 20‑year high in seller profitability translated into equity‑release conversations for renovations and small‑business funding, expanding broker share of wallet beyond mortgages into asset and SME finance.
• Risk and compliance posture: AI deployments stayed within governance boundaries set by national principles and mirrored by the ATO’s emphasis on oversight, limiting model risk while realising productivity uplift in document handling and quality checks.

While exact uplift varied by firm, the pattern was consistent: cycle‑linked campaigns lifted qualified lead volume; conversion improved when eligibility logic and scheme rules were embedded into workflows; and cost‑to‑serve fell where AI handled repetitive verification tasks under human supervision.

Lessons

• Capability beats prediction: don’t try to call the whole easing path. Build a repeatable mechanism to operationalise any 25–50 bp move and accompanying lender policy shift. Majors’ commentary through late 2025 suggested gradualism—use that to stage capacity, not to gamble on timing.
• Own your discovery layer: with search so concentrated, the broker who ranks first writes the narrative. Treat content operations like product: release notes for policy changes, structured data, and conversion‑first landing pages.
• Govern AI like a regulated product: align to Australia’s AI Ethics Principles and adopt public‑sector‑grade controls (the ATO’s governance practices are instructive). Start with document and workflow automation, maintain human sign‑off on advice and credit outcomes.
• Exploit equity cycles, not just rate cycles: 20‑year‑high home seller gains open conversations across refinancing, investment and SME working capital. Build journeys that bridge mortgage, asset finance and cash‑flow lending.
• Design for scheme agility: codify eligibility so front‑line staff don’t need to interpret PDFs. Treat government programmes as dynamic inventory; refresh rules alongside lender policy updates.

Market context and future outlook

Broker Daily’s year‑end wrap underscored that borrower attention clustered around rate cuts, lender policy resets and scheme eligibility—proof that demand follows clarity. The ACCC’s observation of Google’s entrenched share means discoverability will remain a moat for operators who execute the basics ruthlessly well. McKinsey’s 2025 assessment of AI in the workplace reinforces that value accrues when AI is embedded into workflows, not bolted on; Australia’s own ecosystem analysis (June 2025) highlights a commercialisation gap, a reminder to convert pilots into production. Looking ahead, a measured easing path and ongoing policy fine‑tuning favour firms that combine rate‑aware marketing, policy‑aware operations and ethics‑aware AI. The strategic roadmap: invest in eligibility engines, harden your search and first‑party data stack, and stand up AI with a documented safety case. In a softening cycle, those capabilities compound.

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A year defined by rate cuts, lender policy resets and government schemes reshaped Australia’s mortgage and finance market. This case study dissects how leading brokerages converted macro whiplash into operational gains by industrialising decision-making, digitising distribution and de-risking AI adoption. The result: a playbook for building a rate‑agnostic growth engine as the cycle softens. For boards and CEOs, the lesson is clear—capability beats prediction.

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Australia’s labour market is experiencing a significant resurgence as peak season spending revitalises employment across the nation. The latest November Jobs Report from Employment Hero, a global leader in workforce management solutions, reveals an encouraging lift in employment, working hours, and wages, despite ongoing economic pressures. The report draws on real-time payroll data from over 1.5 million workers, offering a comprehensive snapshot of the current employment landscape.

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National employment figures show a robust increase, with a 6.4% rise year-on-year, a 3.7% uptick quarter-on-quarter, and a 0.9% boost month-on-month. This surge is primarily driven by young workers, casual employees, and the retail and hospitality sectors. The upswing coincides with a period where inflation is edging higher and interest rates remain steady, yet consumer spending during Black Friday and early holiday sales has been notably strong.

“Peak season has lit a spark that the labour market needed,” said Ben Thompson, Co-Founder and CEO of Employment Hero. “After a long stretch of caution, businesses are hiring again and giving staff more hours. Shoppers showed up in force for early Black Friday sales, and that spending has flowed straight into jobs, particularly for young Australians and casual workers.”

The report highlights a notable increase in hours worked, which had been softening in previous months. Hours climbed by 1.3% month-on-month and 1.2% year-on-year, with retail, hospitality, and seasonal roles contributing significantly to this growth. Casual hours saw an even steeper rise, up 7.2% month-on-month, as employers relied heavily on flexible labour to meet the heightened demand.

“Casuals carried much of the load this month. It’s a strong sign of confidence heading into Christmas and Boxing Day trading,” Thompson added. “I’m pleased to see the labour market remains more buoyant than anticipated.”

Despite a slight monthly dip, wages remain higher over the year. The median wage currently stands at $45.20, reflecting a 4.9% year-on-year increase and a 0.7% rise quarter-on-quarter, though it experienced a minor decline of 0.1% month-on-month. South Australia and Western Australia recorded some of the strongest annual wage growth, while small monthly decreases across several states indicate employers managing cost pressures as the year-end approaches.

Young workers are at the forefront of this employment rebound. Employment for 14–17-year-olds has surged by 23.6% year-on-year and 3.9% month-on-month, marking the strongest growth among any age group. Meanwhile, 18–24-year-olds have seen a 15.6% year-on-year increase and a 2.0% month-on-month rise. The hours worked by teenagers have skyrocketed by 37.9% year-on-year, with the 18–24 age group recording the largest monthly lift at 3.4%.

Casual employment has also experienced a significant boost, with headcount up 9.4% year-on-year and 1.2% month-on-month. Casual hours have jumped by 7.2% month-on-month, lifting average hours to 87 per month. The retail and hospitality sectors have seen employment rise by 7.1% year-on-year and 1.7% month-on-month, with a corresponding increase in hours worked by 3.6% year-on-year and 1.7% month-on-month.

Across the states and cities, Western Australia and Queensland have emerged as the strongest annual performers, with 6.8% and 5.9% year-on-year growth, respectively. New South Wales recorded the most substantial monthly rise at 1.2% as holiday hiring gained momentum. Brisbane leads major cities with a 7.2% year-on-year job growth and a 2.7% month-on-month jump in hours, while the Gold Coast recorded a 5.7% year-on-year increase in hours and a 1.6% month-on-month lift.

In terms of sectors, engineering, administration, and construction are leading the hiring surge. Engineering roles have increased by 21.2% year-on-year, administration and office support by 18%, and construction and trade by 8.3%. The banking, finance, and insurance sectors have also seen a 9.1% year-on-year rise.

Thompson remarked that the November data indicates a meaningful shift in labour-market confidence. “Households are still under pressure, but people are spending where it counts. Businesses are responding with more roles and more hours. If this momentum holds through December, we’ll head into 2026 with a stronger foundation than expected.”

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Australia’s labour market is experiencing a significant resurgence as peak season spending revitalises employment across the nation. The latest November Jobs Report from Employment Hero, a global leader in workforce management solutions, reveals an encouraging lift in employment, working hours, and wages, despite ongoing economic pressures. The report draws on real-time payroll data from over 1.5 million workers, offering a comprehensive snapshot of the current employment landscape.

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