Closer than a decade ago. Nowhere near 1,000 years.
Longevity escape velocity: not reached
Observed global life expectancy at birth rose from 46.4 years in 1950 to 73.2 years in 2023. The cited conventional projection reaches 81.7 years by 2100. TaskNorth's editorial scenario, which is a reviewed judgment and not a forecast, reaches 232 years by 3000.
Life expectancy at birth is the average for newborns across a whole population and period. It is not maximum lifespan, healthy lifespan, biological age, or a prediction for any individual reader.
Jeanne Calment of France lived 122 years and 164 days (1875 to 1997), the greatest fully authenticated human age.
16001800200022002400260028003000050100150200250Data through 2023
122 years
Longest verified human life · 49 years above today's global average
Pre-1950 scholarly estimatesObserved world estimatesUN medium projectionTaskNorth AI-accelerated scenario
UN medium projection · cited demographic projection
TaskNorth AI-accelerated scenario · TaskNorth editorial scenario, not a forecast
Longest verified human life · a verified individual record, not a population average
▲ breakthrough, scenario moved nearer
▼ setback, scenario moved farther
● context only
For scale · a deliberately broken axis
The chart above tops out near 100 years. Claims of 250, 500, or 1,000-year lifespans live far off that scale; the break below marks the distance the axis skips.
Observed global life expectancy at birth is about 73 years as of 2023, and the longest verified individual life is about 122 years. Reference points of 250, 500, and 1,000 years are shown after an explicit axis break because they are far beyond anything observed.
View this data as a table
Every committed point in the three chart series plus the pre-1950 estimates, in years of life expectancy at birth.
Series
Year
Value (years)
Pre-1950 scholarly estimates
1800
28.5
Pre-1950 scholarly estimates
1820
29
Pre-1950 scholarly estimates
1850
29.3
Pre-1950 scholarly estimates
1870
29.7
Pre-1950 scholarly estimates
1900
32
Pre-1950 scholarly estimates
1913
34.1
Observed world estimates
1950
46.4
Observed world estimates
1955
50.2
Observed world estimates
1960
47.8
Observed world estimates
1965
54
Observed world estimates
1970
56.3
Observed world estimates
1975
58.3
Observed world estimates
1980
60.5
Observed world estimates
1985
62.2
Observed world estimates
1990
64
Observed world estimates
1995
64.9
Observed world estimates
2000
66.4
Observed world estimates
2005
68.1
Observed world estimates
2010
70.1
Observed world estimates
2015
71.6
Observed world estimates
2020
71.9
Observed world estimates
2023
73.2
UN medium projection
2023
73.2
UN medium projection
2030
74.4
UN medium projection
2040
75.8
UN medium projection
2050
77
UN medium projection
2060
78.1
UN medium projection
2070
79.1
UN medium projection
2080
80
UN medium projection
2090
80.9
UN medium projection
2100
81.7
TaskNorth AI-accelerated scenario
2023
73.2
TaskNorth AI-accelerated scenario
2040
78
TaskNorth AI-accelerated scenario
2045
80
TaskNorth AI-accelerated scenario
2060
95
TaskNorth AI-accelerated scenario
2070
99
TaskNorth AI-accelerated scenario
2080
102
TaskNorth AI-accelerated scenario
2100
118
TaskNorth AI-accelerated scenario
2150
122
TaskNorth AI-accelerated scenario
2200
165
TaskNorth AI-accelerated scenario
2300
195
TaskNorth AI-accelerated scenario
2500
218
TaskNorth AI-accelerated scenario
3000
232
The current verdict
Measured global life expectancy at birth reached about 73.2 years in 2023, roughly double the pre-1900 scholarly estimates. That climb came from public health and medicine applied at population scale, and it has already reversed once recently, during the COVID-19 pandemic.
The cited UN medium projection expects slow further gains, to about 82 years by 2100. TaskNorth's scenario adds a stated uplift on top of that projection, then encodes three assumed step-changes with stated years: AGI-level research automation around 2045, mature quantum simulation of biology around 2080, and molecular-scale repair therapies around 2150. The third jump carries the curve past the longest verified human life, saturating at about 232 years by 3000 under a structural 250-year cap. Each milestone is an editorial assumption, not a prediction of when it happens. It is a reviewed editorial judgment, not a forecast, and no point on it implies a 1,000-year life is close or inevitable.
What moved the curve
Every marker on the chart is listed here in full: what happened, the strength of the evidence, the editorial judgment it carries, and the primary source behind it. Newest reviewed items first.
OpenAI's GPT-6 Astra is the first model it rates Critical for cyber capability, and it saturates several reasoning benchmarks. It is a general-purpose model with no published biological or clinical result, and it has not extended any human life.
Listed as context only. The scenario moves on biological or human evidence, and Astra's published results are computational and cyber, so nothing here justifies moving the curve in either direction.
Global life expectancy fell during the COVID-19 pandemic
▼ Moved the scenario farther away (small change)
UN estimates show global life expectancy at birth fell to 70.9 years in 2020 to 2021, down from 72.6 in 2019, before recovering from 2022. A reminder that the curve can move backward.
A recent global reversal argues for caution in the scenario's near-term points.
FDA approves Casgevy, the first CRISPR gene-editing therapy
▲ Moved the scenario nearer (small change)
On 8 December 2023 the FDA approved Casgevy for sickle cell disease in patients 12 and older. It is the first approved therapy that uses CRISPR/Cas9 genome editing in humans.
Gene editing reached approved human treatment, a working path from lab tools to therapy.
In a trial of 17,604 adults with overweight or obesity and heart disease but no diabetes, weekly semaglutide reduced major cardiovascular events versus placebo (6.5% vs 8.0%).
A metabolic drug improved hard outcomes in a large trial, one input the scenario counts on.
AlphaFold2 predicts protein structures with high accuracy
▲ Moved the scenario nearer (small change)
DeepMind's AlphaFold2 paper in Nature showed AI predicting protein structures near experimental accuracy. It speeds up research inputs; it has not extended any human life.
Faster structure prediction compresses early research steps, a small editorial move.
On 14 April 2003 the sequencing consortium announced the finished human genome, covering about 99% of gene-containing regions at 99.99% accuracy. Foundation work for genomic medicine.
A research foundation, listed for context; no direct lifespan effect is claimed.
4S trial: a statin reduced deaths in heart disease
● Context only, no scenario change
The Scandinavian Simvastatin Survival Study randomized 4,444 patients with coronary heart disease. Simvastatin cut all-cause mortality (relative risk 0.70), a first for cholesterol drugs.
Marks the era of large outcome trials in cardiovascular care; shown for context.
On 12 April 1955, field studies led by Thomas Francis Jr. covering about 1.8 million children found the inactivated polio vaccine safe, effective, and potent.
A landmark of mass vaccination in the observed era; shown for context.
On 3 September 1928 Alexander Fleming saw a Penicillium mold stopping bacterial growth. Penicillin was developed clinically at Oxford and mass-produced during World War II.
The antibiotic era begins here; annotation only, no precise effect claimed.
Fourteen-year-old Leonard Thompson received pancreatic extract in Toronto on 11 January 1922; a purified extract later that month brought his blood sugar to normal.
Type 1 diabetes went from fatal to manageable; annotation only.
On 24 March 1882 Robert Koch announced he had identified the bacterium that causes tuberculosis, a landmark of germ theory now marked each year as World TB Day.
Germ theory anchored modern infection control; annotation only.
In the 1854 Soho cholera outbreak, John Snow traced cases to one water pump; the handle was removed on 8 September 1854. A founding case of modern epidemiology.
Data-driven public health starts here; annotation only.
On 14 May 1796 Edward Jenner inoculated James Phipps with cowpox material; a later smallpox challenge showed protection. Vaccination grew from this experiment.
The first vaccine; annotation only, no precise effect on the global series claimed.
Research speed is not the same thing as added years of life. These are the areas where acceleration is documented; none of them, on its own, has extended a human lifespan.
Aging biomarkers
Models that estimate biological aging signals from clinical data. Useful research instruments; their validation for predicting individual outcomes is still an open scientific question.
Target discovery
Machine learning that proposes which genes and pathways to drug. It shortens the candidate list; it does not prove any target extends human life.
Molecular and protein modelling
Structure prediction such as AlphaFold compresses months of laboratory work into hours for many research questions.
Candidate selection
AI-assisted screening ranks compounds before expensive synthesis and testing, raising the throughput of early drug discovery.
Trial analysis
Better modelling of trial data and real-world evidence can make human studies faster to read out. The trials themselves still take years.
What would change the curve next
The scenario moves only through a written revision, and these are the kinds of evidence that would justify one:
A therapy shows replicated human outcome data for slowing a measured process of aging itself, not a single disease.
A major demographic authority materially revises its long-run life expectancy projection, in either direction.
An AI-discovered drug reaches approval with outcome data in an aging-related indication, shortening the discovery-to-approval path on the record.
Negative trials, failed replications, safety signals, or worsening population outcomes accumulate; these move the scenario farther away.
Policy or access changes measurably alter how fast approved therapies reach populations.
Methodology and sources
Metric. Global life expectancy at birth, in years. Life expectancy at birth is the average for newborns across a whole population and period. It is not maximum lifespan, healthy lifespan, biological age, or a prediction for any individual reader.
Observed series. UN World Population Prospects 2024 world estimates, 1950 to 2023, sampled every five years. Pre-1950 points are Riley (2005) scholarly estimates, shown as a separately labelled segment because they are reconstructions with wide uncertainty.
Projection. The UN medium-variant projection to 2100, cited below.
Editorial scenario. Explicit reviewed points, not a forecast and not sourced data. Through 2040 the points add a stated uplift to the UN medium projection. Beyond that, the shape encodes three assumed step-changes, each an editorial assumption with a stated year: AGI-level research automation around 2045, mature quantum simulation of biology around 2080, and molecular-scale repair therapies built on both around 2150. On owner direction (revision 1.3) the third jump breaks the former 150-year ceiling: the curve passes the longest verified human life and saturates toward a raised structural cap of 250, ending at 232 by 3000. No point implies a 1,000-year life. A milestone that fails to arrive moves its jump later or removes it.
Association is not causation. Event markers sit on the time axis as annotations. Their placement does not claim that one invention caused a precise number of life-years on the global series.
Revision history (method version 1.3)
v1.3 · 2026-08-15 · Raised the structural scenario cap from 150 to 250 years on owner direction. The post-2150 molecular-repair jump now passes the former ceiling and the curve saturates at 232 by 3000. Sourced series and their 120-year cap unchanged.
v1.2 · 2026-08-14 · Reshaped the post-2040 scenario from one smooth saturating path into three assumed step-changes with stated years: AGI-level research automation (~2045), mature quantum simulation of biology (~2080), and molecular-scale repair therapies (~2150). Cap and sourced series unchanged.
v1.1 · 2026-08-14 · Extended the editorial scenario horizon from 2100 to 3000 using a stated saturating rule toward the structural 150-year cap (300-year time constant). Sourced UN projection unchanged; it still ends at 2100.
v1.0 · 2026-08-12 · Initial dataset: UN WPP 2024 world estimates and medium projection, Riley (2005) pre-1950 estimates as a separately labelled segment, and first anchored scenario points with a stated uplift method.
Safety overview: GPT-6 Astra · OpenAI · OpenAI's own safety overview, recording the first Critical cyber capability classification under its Preparedness Framework.
Immortality Index FAQ
Will humans live 1,000 years?
Nothing observed supports that. The longest verified human life is 122 years. Global life expectancy at birth is about 73.2 years as of 2023, and the cited UN projection stays near 82 by 2100. The 1,000-year figure exists on this page only as a labelled reference far off the chart's scale.
What is the Immortality Index?
A sourced editorial model of longevity. It shows measured global life expectancy, a cited demographic projection, and TaskNorth's clearly labelled scenario for how AI could accelerate longevity research. The curve and its reviewed revisions are the index; there is no invented score.
What is longevity escape velocity?
The idea that medicine could someday add more than a year of expected life per calendar year, so death from aging keeps receding. No population data shows this happening. This page's status line reads: not reached.
Can AI cure aging?
No approved therapy reverses human aging, with or without AI. What AI demonstrably accelerates today is research: protein structures, target discovery, candidate screening, and trial analysis. Whether that converts into approved treatments with replicated human outcomes is exactly what this page tracks.
Is this medical advice?
No. The page is an editorial model of population-level research progress. It does not predict any individual's lifespan and does not recommend any treatment, supplement, or intervention. Talk to a clinician about personal health decisions.
How does the curve get updated?
New events enter through a reviewed dataset change with a primary source, an evidence level, and a written rationale. Scenario movements are separate, versioned revisions listed in the methodology section. Setbacks move the scenario farther away; nothing updates silently.
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