Nostradamus Predictions for 2030: The Deep Calibrated Reading
No quatrain names 2030. The year is a magnet for modern deadlines, not for sixteenth-century verse — so this dossier computes instead of interprets: base rates from nine indexed eras, the resonance fork, the Loom's coupled pressure readings, and the sealed anchors that grade every number before the decade turns.
"By 2030" is a promise; "in 2030" is arithmetic — and the arithmetic is smaller than the promise.
The short answer, before the long one
Asked what Nostradamus predicted for 2030, the record answers: nothing. Of the 942 quatrains published under his name, only a handful carry explicit dates — the seventh month of 1999 in quatrain X.72, October 1727 in quatrain III.77, and the year 3797 stated in the preface to his son César as the horizon of the whole enterprise. No verse names 2030. No verse names any year of the decade you are living through, and no amount of interpretive pressure changes that documentary fact.
And yet 2030 is the most predicted year on the internet. It is the deadline of the UN Sustainable Development Goals, the target year written into most first-round Paris climate pledges, the endpoint of nearly every corporate net-zero interim commitment, the Pentagon's marker for China's thousand-warhead arsenal, and the horizon of a thousand consultancy decks. When a listicle staples a quatrain about fire or a fallen great one to that year, it is not reading Nostradamus — it is laundering a committee's deadline through a dead man's byline. The prediction is modern; the authority is borrowed.
This dossier does something different, and does it at full depth. It shows the complete derivation of this observatory's 2030 reading — the chain from historical base rates, through the Historical Resonance Index, through the Loom's coupled pressure readings, to the sealed anchors that grade every claim on a public schedule. Our 2027–2030 pillar surveys the window; this page drills the endpoint year alone. Every forward number below is a probabilistic simulation sealed in July 2026 — a statement about likelihood under uncertainty, never observed fact, never prophecy, never advice — and the sealed figures do not move, no matter what the news does.
The round-number magnet: why everything lands on 2030
2030 attracts predictions for a reason that has nothing to do with dynamics and everything to do with committees. Institutions choose round deadlines: the SDGs were set in 2015 with a fifteen-year clock; the Paris Agreement's first pledge round targeted 2030; the US Department of Defense projects China's arsenal passing 1,000 warheads by 2030; the IEA projects global data-centre electricity roughly doubling to about 945 TWh by 2030; BCG's tokenization bull case runs to $16 trillion by 2030. Even elite forecasters cluster there — in the Forecasting Research Institute's 2025 survey work, the median AI expert put 50% odds on frontier models clearing eight-hour software tasks by 2030 or earlier. The year is a coordination point, and coordination points accumulate claims the way harbors accumulate ships.
This produces two distortions that a calibrated reading must strip out. The first is deadline inflation: a target chosen because it is round gets repeated until it is treated as a forecast, though nothing in the underlying system knows the calendar is decimal. The second is the by/in conflation: a claim that something happens "by 2030" is quietly read as a description of 2030 itself, when most of its probability mass sits in the years before.
The de-biasing is arithmetic, and worth doing once in the open. GEO-01 seals 74% on the world economy splitting into rival trading blocs across 2026–2030. Spread that evenly as a hazard and the implied per-year probability is roughly 24% — but the probability that the threshold is first crossed in 2030 itself is only about 8%, because four earlier years get their chance first. The same calculation puts TEC-01's 70% automation call at roughly an 8% chance of first resolving in 2030. The honest headline for the magnet year is therefore smaller than the genre's: 2030 is less the year everything happens than the year everything already underway gets measured.
The house de-biasing rules follow from this. We seal windows, not anniversaries, and we refuse to inherit other institutions' deadlines: where a projection window ends in 2030, it is because the causal mechanism — a refinancing wall, a diffusion curve, a treaty accounting cycle — plausibly completes there, and the resolveBy date is graded as written. Where the mechanism does not know about the calendar, the window runs past the round year, as GEO-02's does to 2031 and FIN-03's to 2032, headline gravity be damned.
How a 2030 reading is computed
This is the section the genre never writes, and the one the owner of this observatory demanded be written in full. A 2030 reading here is not an intuition with a percentage attached. It is the output of a four-stage chain, every stage of which is published, and every stage of which can be checked against the repository it comes from — the projection registry, the Calibration Ledger, the Loom's state file, and the Resonance Index, all versioned in the open.
Stage one establishes base rates: across the nine indexed eras, how often per decade did each class of event actually occur — deleveraging crisis, monetary regime rewrite, great-power war onset, carrier-technology bust. Stage two asks which base rates currently apply, using the Historical Resonance Index: five weighted components — debt load (.20), great-power rivalry (.25), internal polarization (.20), tech-disruption velocity (.20), monetary regime strain (.15) — scored for today from published indicators and compared era by era. Stage three reads the Loom: six threads, each holding six named strands scored in [−1, +1], coupled by a published CROSSWEAVE of twenty-four directional couplings, each carrying a weight, a one-line rationale and a historical precedent. The Loom's mechanics are deliberately humble — a strand decays toward baseline with a roughly seventeen-day structural half-life absent fresh evidence, and coupling gains are bounded so that a source strand can influence a target but never amplify beyond its own magnitude.
Stage four is the discipline that makes the other three honest: sealed anchors. Sixteen Calibration Ledger entries and twenty-eight live projections carry locked probabilities, objective resolution criteria and hard resolve-by dates — and a specific subset of them resolves before or during 2030, grading the chain's assumptions in public before the target year even arrives. The sealed numbers never move. What updates, in the open and with the misses on the board, is the derivation the next dossier is allowed to make.
Stage one and two: base rates through the resonance lens
Base rates first, named plainly. Across the roughly nineteen decades the index spans, core-economy deleveraging crises occurred about five times — 1819, 1873, 1893, 1929, 2008 — call it one per four decades. Monetary-anchor rewrites occurred about five times — the 1873 silver demonetization, the 1914 gold suspensions, the 1933–36 devaluation round, Bretton Woods in 1944, its end in 1971 — roughly once per generation. Great-power war onset occurred twice — 1914 and 1939 — about 11% per decade unconditional; but conditional on the rivalry component reading 88 or higher, the record is two for two, which is why that component carries the index's heaviest weight. Carrier-technology installation surges ended in a capex bust every time so far — 1873 rails, 2001 fiber — with the technology compounding straight through the wreckage. And the modal outcome, the one the genre never sells, is absorption and reform: most decades on the board delivered no systemic rupture at all.
Stage two asks which of those decades 2026 most resembles, and the published scores answer with a fork. The top of the table reads: 1968–74 at 83, then 1910–14 and 1873–96 tied at 82, then 1848–49 and 1929–33 at 79, 1937–39 at 78, 1815–19 at 77, 1999–2000 at 71, and 1987 at 58 as the control case. Three different 82-class pasts are pulling on the present at once: an unraveling that resolved in reform and a monetary reset, a long fuse that resolved in continental war, and a long deflation in which the technology kept compounding while finance bled for two decades.
The reading that disciplines every number below: the closest matches resolved in opposite directions, so resonance identifies the fork, not the branch. Applied to 2030 specifically, the fork sharpens into a question the 1873–96 row states best — that era had today's tech-installation reading (85 then, 88 now) but no armed peer rivalry, and its readout warns to watch precisely the component 2026 has and 1873 lacked. If the rivalry component (78 today) climbs toward the 88+ band where the war base rate went two for two, the 1910–14 branch gains weight; if it stalls, 2030 looks like the back half of a long installation decade — deflationary pressure, compounding technology, populist backlash — with the fights fought in ledgers rather than trenches.
Geopolitics in 2030: the bloc world gets graded
The registry's highest structural call is graded in 2030. GEO-01 seals 74% (±10) on the world economy splitting into rival trading blocs across 2026–2030, and December 2030 is its hard resolve-by date. The inputs were already extreme at sealing: the US average effective tariff rate near 18%, the highest since 1934 on the Yale Budget Lab's measure, Chinese rare-earth export controls operational, and WTO simulations pricing a hard two-bloc split at roughly 5% of global real income. The Loom's bloc-formation strand reads +0.60 as of August 2026, and the sealed base case for 2030 is a two-bloc world — with depth, not direction, as the open variable, decided by India, Brazil and the Gulf.
The crossweave shows how this thread's pressure compounds and where it drains. Arms tempo, at +0.65 on SIPRI's eleventh consecutive annual rise to $2.89 trillion, feeds deterrence stress at a +0.04 coupling whose logged precedent is the 1910–14 naval race — buildups compress decision windows. The lone damping channel is diplomacy, currently reading −0.35 with Ukraine talks suspended: its −0.05 coupling into escalation (precedents: the 1962 back-channel, the 1987 INF treaty) is the strongest negative weight in the system, which is the model's way of saying working diplomacy bleeds escalation directly — when it exists. And bloc formation exports into money at +0.03, the 1965 gold pool and the post-2022 sanctions era as precedents: blocs diversify reserves away from rival anchors, which is how this section's pressure becomes the next section's.
Two more sealed windows touch the year. GEO-02 prices a direct US–China military incident in the western Pacific at 38% (±15) through 2031 — 2030 sits late in that window, past the 2027 readiness marker Western intelligence has attributed to PLA planning, deliberately below even odds because deterrence has held every prior tempo spike. GEO-04 seals 48% (±12) on a multi-breadbasket shock pushing acute food insecurity past 400 million people by 2030, from a 2024 baseline of 295.3 million across 53 countries (GRFC 2025) after six consecutive annual rises. Base-rate context from stage one: unconditional great-power war onset runs about 11% per decade, and the sealed numbers sit exactly where a rivalry reading of 78 — elevated, but below the two-for-two 88+ band — says they should.
What would prove the geopolitical reading wrong is on the record. GEO-01 fails if the US and China execute a broad tariff rollback and world goods-trade volume growth returns above 4% a year for two consecutive years before 2029. GEO-04 fails if the Global Report on Food Crises records declining acute food insecurity for two consecutive years before 2030. A 2030 that falsifies both would be a better world than the sealed one — and the ledger will say so in public.
Money and debt in 2030: the arithmetic year
2030 opens at records on both the national and global ledgers, and that is arithmetic, not opinion. US federal debt held by the public runs near 100% of GDP (the Q1-2026 official FRED reading printed 98.7%), net interest near $1 trillion a year — more than defense — and CAL-01 seals 78% that the ratio prints at or above 105% by end-2029, with the CBO baseline crossing the 1946 record around 2029. The IMF's October 2025 Fiscal Monitor adds the global frame: world public debt is projected to pass 100% of GDP by 2029, its highest share since 1948. Against that floor, FIN-01 seals 62% (±12) that a US sovereign-debt stress event forces a fiscal regime change by end-2030 — the gilt-crisis template, where the market forces the choice politics would not volunteer.
The crossweave explains why the money thread is the system's pressure sink. Internally, debt strain (+0.60) feeds fiscal dominance at the system's heaviest weight, +0.05, on the precedent of the 1942–51 Fed peg and the 1970s: heavy debt bends central banks toward the fisc. Rate pressure feeds credit stress at +0.04 (1990 S&L, 2023 regionals). But the decisive 2030 feature is the imports: machine capex intensity — the Loom's hottest strand at +0.75 — couples into credit stress on the precedent of 1873 rails and 2001 fiber, and climate insurance retreat (+0.60) couples in via uninsurable collateral, the channel the 2024 Senate climate-insurance file documented. Three separate threads are wired into monetary credit stress at once; the Loom cannot say which invoice arrives first, only that the addressee is the same.
The dollar question gets the house's most deliberately split answer, and 2030 is when the split is graded. FIN-03 prices reserve-share erosion below 50% at 45% (±14) — but only by 2032; CAL-06 seals just 8% on the share falling below 45% by end-2030, sealed low against the de-dollarization headlines because reserve inertia is measured in decades. The Q1-2026 COFER reading actually ticked up to 57.13%, while central-bank gold buying cooled to 345 tonnes in H1 2026 after three consecutive ~1,000-tonne years. The computed 2030 corridor is a dollar share in the low-to-mid 50s with gold entrenched as the number-two reserve asset — erosion, not collapse, with the collapse scenario priced at 8% and standing to be scored wrong in public if the world moves faster.
Falsifiability, on the record: FIN-01 fails if the US runs deficits under 4% of GDP for two consecutive years through 2030 with term premia compressed and no Treasury auction stress episode. CAL-01 fails if no official reading reaches 105% by end-2029. Both lines were written at sealing, and both will be graded as written.
AI and technology in 2030: capability against diffusion
The most consequential 2030 window belongs to the machines, and the honest reading requires splitting two curves the genre conflates. The capability curve is measured: METR's 50%-reliability task horizon has been growing roughly tenfold per year on the operative dataset, with frontier models at sixteen to twenty hours as of August 2026. Extrapolate naively and the numbers turn absurd within two years — which is exactly why the sealed figure is not a capability bet. TEC-01's 70% (±12) on AI automating more than a quarter of white-collar task-hours by 2030 is priced on diffusion: procurement cycles, workflow redesign, liability, and the organizational friction that every prior automation wave — power looms in 1811, ATMs in the 1990s, the crossweave's own logged precedents — took a generation to clear. The leading edge is already in the employment data: a roughly 13% relative decline in early-career employment in the most AI-exposed occupations since late 2022 (Stanford Digital Economy Lab).
The 2030 view is chained to earlier anchors, and the chain is the argument. CAL-13 seals 75% that a 40-hour autonomous work-week is documented by end-2027 — the single highest-leverage input to the 2030 reading, because if that bar goes unclaimed the capability premise under TEC-01 weakens mechanically and the miss will be published. TEC-03 seals 66% (±10) on the AI build-out colliding with the grid by 2029, the year before the automation window closes: US data centres drew 4.4% of national electricity in 2023, LBNL projects 6.7–12% by 2028, and the IEA projects global data-centre demand roughly doubling to ~945 TWh by 2030. Electricity is the binding physical constraint on the entire 2030 machine story, and it resolves first.
The crossweave prices both the promise and the bust. Capability slope (+0.70) feeds labor displacement at +0.05; labor displacement feeds generational strain at +0.04 on the precedent of 1980s deindustrialization — the entry rungs break first, and the young pay first. Embodiment (+0.45, with humanoid shipments at 19,100 units in H1 2026, up 272% year on year) extends displacement toward physical work on the containerization precedent. And capex intensity at +0.75 — the hottest strand on the entire board — couples into monetary credit stress on the 1873-rails and 2001-fiber precedent: every carrier-technology installation this scale has so far ended in a financing bust that did not stop the technology. The Loom carries both truths at once, which is what the single-narrative genre cannot do.
The positive column is sealed with the same discipline: TEC-02 gives 68% (±12) to the first end-to-end AI-designed drug winning full FDA approval by 2030, with AlphaFold's 2024 Nobel and Insilico's Phase 2a rentosertib results already on the record. The full machine-cognition board — AGI timelines treated honestly, the jobs evidence, the electricity math — is in the companion AI 2030 dossier; this page carries only its 2030-graded spine. TEC-01 fails if early-career employment in exposed occupations recovers to its 2022 trend and measured task automation stays under 15% — a falsification we would be glad to publish.
Climate in 2030: the checkpoint year the treaties chose
2030 is the one year on this page that carries a genuine, externally imposed accounting: it is the target year written into most first-round Paris pledges, which makes it the year the world's climate promises are formally graded. The published gap is already legible. UNEP's Emissions Gap Report 2025 finds that even full implementation of the new pledge round leaves the century on a 2.3–2.5°C trajectory, and that a 1.5°C-consistent path required cutting 2030 emissions roughly 40% below 2019 levels — a cut no published inventory trend supports. The house adds no melodrama to this: the checkpoint will most likely record a miss, and the interesting 2030 question is what the formal miss does to treaty politics, litigation and carbon-border regimes in the years after.
The sealed board prices the physics and the economics separately. CAL-07 seals 76% that at least one year from 2026–2029 sets a new global temperature record, from a 2024 record of roughly 1.55°C above pre-industrial — the first calendar year above 1.5°C. CAL-12, the fastest-resolving seal on the ledger, gives 66% to 2026 ranking among the two warmest years and is currently at risk with Jan–Jul 2026 running third — a miss we may well score in public in January 2027, exactly as designed. CLI-01 seals 62% (±10) on insurance retreat triggering a climate repricing of housing in a G7 economy by 2030, on inputs already in the record: $137 billion in insured catastrophe losses in 2024, roughly $40 billion more from the January 2025 LA fires, and California's insurer-of-last-resort exposure past $500 billion. And the transition is priced with the same instrument: CAL-10 gives 66% to a 900 GW solar year by 2030, from 599 GW installed in 2024 — the both-things-true decade, damage and deployment compounding together.
The crossweave chain here is the cleanest in the system, and each link carries a precedent. Thermal anomaly (+0.55) loads disaster loading at +0.05 — the attribution literature since 2003. Disaster loading (+0.50) drives insurance retreat at +0.05 — Hurricane Andrew 1992, the Florida and California withdrawals of 2023. Insurance retreat (+0.60) leaks into monetary credit stress at +0.03 — the 2024 Senate climate-insurance file's uninsurable-collateral channel. The damping runs the other way: geopolitical escalation couples into treaty momentum at −0.03 on the post-2003 Doha precedent — wars starve multilateral bandwidth — and with the treaty strand already reading −0.20, the model's blunt implication is that the geopolitical thread is a direct tax on the 2030 checkpoint.
Falsification is on the record for each claim. CLI-01 fails if no major metro suffers sustained 15%+ insurance-attributable home-value declines through 2030 and the state backstop plans shrink. CAL-07 fails if no record year lands by 2029. The NDC checkpoint needs no falsifiability line from us; the UNFCCC's own 2030 accounting will grade it, which is precisely why this section leans on it.
Society and demography in 2030: the trough arithmetic
Demography is the closest thing to prophecy that honesty permits, because everyone who will be 25 in 2030 has already been born. The UN's World Population Prospects 2024 puts the world at 8.5 billion in 2030 on the medium variant, with global fertility at 2.25 births per woman — one child fewer than a generation ago — falling to the 2.1 replacement level around 2036, and more than half of all countries already below it. None of that is a projection in the sense the rest of this page uses the word; it is a census with a short extrapolation attached.
The trough math is sharpest in China, and 2030 is when it reaches the institutions. The August 2026 field data on the social thread records 7.9 million Chinese births, down 17% year on year — against 17.9 million as recently as 2016. Cohorts entering primary school around 2030 will run at roughly half the size of those a decade before them; the same halving then marches through universities in the late 2030s and the workforce in the 2040s on a schedule no policy can now unwind, because the parents of the missing 2040s workers were themselves never born. The demographic-drift strand reads +0.45, and it is the one strand on the board whose direction is effectively certain — only its consequences are probabilistic.
Those consequences are sealed as SOC-03: 60% (±15) that the generational wealth rupture becomes an organized political movement by 2032, with 2030 sitting deep in the window. The inputs are published: boomers hold roughly half of US household wealth while millennials hold under a tenth (Federal Reserve Distributional Financial Accounts), the median first-time homebuyer reached a record age of 38 (NAR), the entry-level rung is breaking first under AI (the −13% Stanford reading), and millennials plus Gen Z become the largest voting bloc through the late 2020s. Turchin's elite-overproduction model — credentialed, downwardly mobile cohorts against visible wealth concentration — is the stage-one base-rate frame, and its precedents (the 1890s Populist wave, the 1930s realignment) both delivered platform-level policy change within twenty years of this configuration.
The crossweave wires the social thread as the system's downstream basin. Machine labor displacement feeds generational strain at +0.04 (1980s deindustrialization); monetary credit stress feeds trust decay at +0.03 (1873, 1931, 2008); polarization, the board's highest social reading at +0.70, degrades info integrity at −0.04 on the precedent of the 1848 pamphlet wars and the post-2016 feeds; and trust decay starves institutional capacity at −0.04, the late-Soviet precedent. Upstream of 2030, SOC-02's 66% on age-gated social media becoming the OECD norm resolves by 2029 and would mark the first structural counter-move. SOC-03 fails if, by 2032, no major-party national platform centers intergenerational transfer and under-35 homeownership recovers its 2004 trend — the falsification line every angry headline about generational war conspicuously lacks.
The anchor cascade: what resolves before 2030
A 2030 reading published in 2026 would be worthless if nothing could test it for four years. The ledger is built so that almost everything tests it. Between now and the target year, a cascade of sealed anchors resolves on hard dates, each one grading a specific assumption in the derivation chain above — and because every probability was locked in July 2026, the grades are arithmetic, not interpretation. The sealed numbers never move; what each resolution changes is the evidential standing of the 2030 view, updated in public in the next dossier with the misses displayed at the same size as the hits.
The update logic is mechanical, and two worked examples show it. If CAL-13 misses — no documented 40-hour autonomous work-week by end-2027 — the capability premise under TEC-01's 70% automation call is running slower than priced, and the 2030 machine-cognition reading is formally weakened whatever the marketing claims that year. If CAL-01 misses — debt never printing 105% of GDP by end-2029 — then FIN-01's fiscal mechanism is slower than sealed and the 62% stress call enters its final year already leaning wrong. The cascade also runs in the confirming direction: CAL-02 at 82% says no US–PRC live fire through 2029, and its survival is load-bearing for every benign branch on this page.
One caveat belongs in the open because the crossweave puts it there: these anchors are not independent. The couplings wire machine capex into credit stress, insurance retreat into credit stress, and bloc formation into reserve rotation — so the anchors are positively correlated, and the joint outcomes cluster. Under naive independence, the chance that all three of GEO-01, TEC-01 and FIN-01 resolve CORRECT by end-2030 is about 32%, and the chance at least one does is about 97%; correlation pushes the true numbers toward the extremes — more chance of everything, more chance of nothing. That skew, not any single probability, is the deepest computed claim this page makes about 2030: it is a clustered year, not an average one.
What we will not pretend to know about 2030
The rarest sentence in the prediction business is "we have no number for that," so here is ours, itemized. This platform seals no prediction on who holds power anywhere in 2030 — no US election call, no leadership transitions, no party outcomes — because no objective resolution test can honestly be written years before the candidates exist. It seals no AGI arrival date: CAL-13's 40-hour bar and TEC-01's task-hour threshold are measurable proxies, and the difference between a proxy and a prophecy is the entire house method. It seals no 2030 market levels, no asset prices, and nothing that functions as advice. And it publishes an 8% on the one unbounded horror on the board — battlefield nuclear use, GEO-03, window to 2035 — precisely because pretending to zero and pretending to certainty are the same sin with different signs.
The epistemics deserve stating as plainly as the numbers. A 74% projection expects to be wrong roughly one time in four; six major windows close in 2030, so the expected number of misses among the headline calls is about two, and a page from this observatory in 2031 that reported none should itself arouse suspicion. The two closest resonance matches to the present resolved in opposite directions — reform in 1974, war by 1914 — and nothing in the derivation chain can see the choices and accidents that decide between branches. The chain computes the fork with as much rigor as we can publish. It does not, and cannot, compute the branch.
So the appointment stands, extended to its full length. First public Brier scoring: July 2027. By January 2031, every sealed window on this page — GEO-01, FIN-01, TEC-01, TEC-02, CLI-01, GEO-04, CAL-06, CAL-07 among them — is graded, arithmetic and unedited, misses at the same size as hits. Nostradamus has had 471 years without a single scored prediction; this page will be fully graded within 54 months of sealing. That asymmetry, not any individual number, is what this dossier is for. Ask which forecasters agree to be graded, then come back and read the grades.
Frequently asked
What did Nostradamus predict for 2030?
Nothing. Of the 942 quatrains, only a handful carry explicit dates — the seventh month of 1999 (X.72), October 1727 (III.77), and a horizon of 3797 stated in the preface to his son César. No text he wrote names 2030 or any nearby year. Every '2030 prophecy' article is a modern interpretation retrofitted onto undated sixteenth-century verse, usually anchored to institutional deadlines (SDGs, Paris pledges) that happen to end in a round number.
What is most likely to happen in 2030?
According to this observatory's sealed probabilistic simulations — not prophecies — the leading projections whose windows close in 2030 are: the world economy operating as rival trading blocs (74%), AI automating over a quarter of white-collar task-hours (70%), the first fully AI-designed drug winning FDA approval (68%), a US sovereign-debt stress event forcing fiscal regime change (62%), and an insurance-driven climate repricing of housing in a G7 economy (62%). Each was sealed in July 2026 with an uncertainty range and a written falsifiability line, roughly two of them are expected to miss, and none is advice.
Will the world end in 2030?
No sealed number on this platform supports that. The highest ruin-class probability on the board is 8% for battlefield use of a nuclear weapon — on a window running to 2035, sealed low deliberately and published with its falsification condition. Across the nine indexed historical eras, the modal outcome of decades under comparable pressure was absorption and reform, not collapse. 2030 is a regime-transition checkpoint, not a scheduled apocalypse.
Why do so many predictions say 'by 2030'?
Because 2030 is a committee deadline, not a dynamical one: the SDGs, most first-round Paris climate pledges, corporate net-zero interim targets and countless consultancy projections all chose the same round year, and forecasts cluster where deadlines already stand. The honest correction is arithmetic: a 74% 'by 2030' projection implies, under a flat hazard, only about an 8% chance the event first occurs in 2030 itself. This platform seals windows tied to causal mechanisms, not to round numbers, and grades them on hard resolve-by dates.
Will AI take over jobs by 2030?
The registry seals 70% (±12) on AI automating more than 25% of white-collar task-hours by 2030 — task-hours, not headcount, with the entry-level rung breaking first. The published leading indicator is a ~13% relative decline in early-career employment in AI-exposed occupations since late 2022 (Stanford), while METR's agent task-horizon grows roughly tenfold per year. The projection is falsified if early-career employment recovers to its 2022 trend and measured automation stays under 15%. The full capability-versus-diffusion argument is in our calibrated AI 2030 dossier.
How will anyone know if these 2030 predictions were right?
Through the public Calibration Ledger, sealed 2026-07-03 and 2026-07-11: sixteen entries plus twenty-eight live projections with locked probabilities, objective resolution criteria and hard resolve-by dates, all currently PENDING. The first entries resolve in early 2027, the first Brier scoring is published in July 2027, and every window closing in 2030 is graded by January 2031 — misses printed at the same size as hits. The sealed numbers never move; only the grades accumulate.