New Treasury projections put newborn girls’ life expectancy at “almost 90” by 2065/66, a change that forces a rethink of retirement, healthcare and public budgets
Australia’s Treasury, in an extract of its intergenerational report released ahead of the full publication, forecasts that life expectancy at birth will rise substantially over the next 40 years. The extract projects women’s life expectancy to reach “almost 90” by 2065/66 (up from about 86 today) and men’s life expectancy to rise to 86 (from roughly 82 now). The same extract projects a population of 39.3 million by 2065/66 and a slowdown in annual population growth to roughly 0.9% over the next four decades, down from about 1.4% in the prior 40 years, a 39.3 million projection that is 1.8 million lower than the 2023 report.
What’s driving the change, and why leaders should care
Treasury points to Australia’s universal healthcare architecture as a key factor: Medicare, the Pharmaceutical Benefits Scheme (PBS) and recent investments such as urgent care clinics. On fertility, Treasurer Jim Chalmers said, “Almost half the decline in fertility rates is actually because fewer people are having three or more kids and what that reflects is mums having fewer kids later in life.”
Demography and longevity matter because they affect both sides of the fiscal and business ledger. An older population raises demand for healthcare, aged care and longevity-related services. Slower population growth tightens the labour supply unless productivity rises, migration policy fills gaps, or participation rates and hours worked change.
The fiscal snapshot
The extract describes the fiscal picture as improved relative to last year: Treasury says projected future government debt has been “slashed by half a trillion dollars” compared with its 2023 forecast. The report and Treasurer Chalmers qualify that improvement while warning that ageing still creates long-term pressures. As Chalmers put it: “Overwhelmingly, the fiscal story is a little bit better; but still, lots, lots more work to do to manage some of these pressures and risks.”
Important caveat: the extract provides headline numbers but does not publish full modelling assumptions in the preview. Key inputs such as migration scenarios, mortality improvement rates, productivity paths and discounting choices will be detailed in the full intergenerational report due for release on Monday. Those assumptions materially affect long-term debt projections and the size of fiscal headroom.
AI as a central economic influence, and its limits
Treasury calls artificial intelligence the “defining influence” on the economy over the next four decades, and Treasurer Chalmers warned it would come with “very substantial risks.” Prime Minister Anthony Albanese has pushed for a “global framework” for AI rollout and international cooperation, saying middle powers like Australia have a role to play. The extract also notes U.S. political statements about national AI coordination, including President Donald Trump’s reported plan to appoint “an AI tsar” and create an “AI Force”, but says those announcements provided little operational detail.
The wording is deliberate: Treasury signals large potential upside from productivity gains if Australia adopts AI at pace, but it stresses that the scale of benefit depends on adoption, regulation and complementary investments in skills and public services.
Concrete upsides and concrete risks
- Upside examples
- Automation of routine back-office work in private and public sectors can lift productivity per employee and free staff for higher-value tasks.
- AI-assisted clinical decision support and diagnostic triage could increase throughput in urgent care clinics and reduce avoidable admissions, amplifying previous health investments such as urgent care rollouts.
- Faster R&D tooling, from computational chemistry to patient stratification, could shorten drug-development cycles and deliver downstream fiscal and health benefits.
- Risk examples
- Displacement or mismatch of jobs in specific sectors, producing short- to medium-term labour-market frictions if reskilling is slow.
- Model failures in safety-critical settings (for example, clinical misdiagnosis) or systemic errors that impose reputational and fiscal costs on providers and governments.
- Concentration risks and supply-chain dependencies if essential models and data are controlled by a few global firms, or if cross-border governance is weak.
What executives should be doing now, measurable, board-ready actions
These demographic and technological shifts are not inevitabilities; they’re outcomes shaped by corporate strategy and public policy. For boards and management, the immediate task is pragmatic: stress-test, prioritise and govern.
- Stress-test workforce plans, Owner: CHRO + workforce analytics. KPI: projected FTE shortfall under a low-migration / high-longevity scenario within 5 years. Run scenarios that vary migration, participation and productivity assumptions.
- Prioritise AI pilots with direct fiscal/operational ROI, Owner: COO & Head of Transformation. KPI: payback period and change in productivity per FTE for top 3 pilots. Focus first on automation and augmentation that reduce operating cost or speed revenue cycles.
- Invest in targeted human+AI reskilling, Owner: HR + L&D. KPI: percent of critical roles certified as “AI-capable” within 12 months. Pair domain experts with tool training and measure task-level productivity improvements.
- Engage proactively on policy and standards, Owner: General Counsel & Public Affairs. KPI: participation in at least one multi-stakeholder forum or regulator consultation within 90 days. Shape pragmatic guardrails that allow responsible deployment.
- Build a practical AI risk-mitigation playbook, Owner: CISO + Head of Risk. KPI: table-top tested incident playbooks covering model drift, data breach, and public communications within 120 days.
What an AI risk playbook should include
- Detection and response for model drift and performance degradation (monitoring thresholds, rollback procedures).
- Vendor governance checklist for third-party models: data provenance, update cadence, security posture and contractual indemnities.
- Contingency funding and scenario budgets for material service failures or sudden demand surges (healthcare claims, social services).
- Public communications templates and escalation paths for customer-facing AI errors or safety incidents.
Practical next steps for boards (90‑day plan)
- Commission a Treasury-scenario stress-test: require management to model financials and workforce under the intergenerational report’s demographic paths.
- Approve up to three AI pilots focused on clear KPIs (cost, time-to-service, revenue uplift) and require governance standards for each pilot.
- Mandate a reskilling roadmap for roles at highest automation risk, with quarterly progress reports to the board.
Board-level questions to demand from management
- What percentage of our cost base could reasonably be automated in the next three years, and which roles are most exposed?
- Under the Treasury’s low-growth / high-longevity scenarios, what is our projected FTE shortfall and the financial impact?
- Which external AI models do we rely on, and how are we testing them for bias, security and operational resilience?
- What contingency reserves or insurance structures do we have for large-scale service disruptions caused by AI failures?
Open questions the extract leaves us with
The extract is a directional brief rather than a full technical account. Treasury’s headline numbers are clear, but the modelling assumptions (migration paths, mortality improvement rates, productivity assumptions, discounting choices) and the drivers of the “half a trillion dollars” improvement in future debt will be spelled out only in the full intergenerational report due on Monday. Likewise, the extract highlights AI’s centrality and risks but does not list the specific domestic policy packages that will mitigate those risks; that’s the next policy conversation.
Two asks for leaders, simple and executable
- Board-level stress-test: within 90 days, require scenario modelling that uses Treasury’s demographic projections and at least two AI-adoption scenarios (conservative and accelerated).
- 90-day AI governance sprint: identify the top three pilots with measurable ROI, define governance and incident playbooks for each, and report quarterly to the board.
Treasurer Jim Chalmers summed the tone: “There are elements of the intergenerational report which are confronting, but it’s not a pessimistic report … because Australians are genuinely better placed and better prepared for all of this accelerating change that we are seeing.” That framing matters. The projections are a mandate to plan, not a reason to freeze. Boards that translate these forecasts into measurable stress-tests, targeted AI investments and hardened governance will be the ones that convert demographic challenge into resilient strategy.
Key questions, and straight answers
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Will Australians live longer?
Yes. According to an extract of Australia’s Treasury intergenerational report, women’s life expectancy at birth is projected to rise from about 86 today to “almost 90” by 2065/66; men’s life expectancy is forecast to rise from roughly 82 to 86 in the same period.
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Is population growth slowing?
Yes. The Treasury extract projects annual population growth of roughly 0.9% over the next 40 years, down from about 1.4% in the previous 40 years, with a projected population of 39.3 million by 2065/66-1.8 million below the 2023 projection.
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Does Treasury see AI as economically significant?
Yes. The extract calls AI the “defining influence” on the economy for the next four decades and warns of “very substantial risks, ” a phrase used by Treasurer Jim Chalmers.
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Is the fiscal outlook better than last year?
Treasury says the fiscal story is “a little bit better”: projected future government debt has been “slashed by half a trillion dollars” compared with the 2023 report, though long-term ageing pressures remain and full modelling details are pending the complete report.