← Cockpit
242_031predictionMarkets/StocksAI-scaling

Most large companies' business models will be disrupted in 2-5 years

Predictor: Peter Diamandis · ep#242 "Elon Enters the Chip Race, the S&P 500 Repricing, and Human Drivers Will Become Illegal | EP #242" · source

Prior probability
65.0%
Current probability
36.1%
evolves via intake + LBP
Conviction
4/5
Signal quality
A
Resolution
pending
Window
2028-01-01 – 2031-11-30
Edges in / out
135 / 5
Tickers exposed
37

Prediction text

Most large companies' business models will be disrupted in 2-5 years | most large companies out there are walking dead. Their business models will be fundamentally disrupted in the next two to five years.

Verbatim quote

From episode "Elon Enters the Chip Race, the S&P 500 Repricing, and Human Drivers Will Become Illegal | EP #242"
most large companies out there are walking dead. Their business models will be fundamentally disrupted in the next two to five years.

Resolution evidence

Status: pending

Large co business models disrupted in 2-5y. Some validation underway (consulting, legal, media).

Predictor: Peter Diamandis

κ + Brier as of 2026-05-22
κ (discount)
0.875
Brier
0.0367
excellent
Hits / Misses
10 / 0
of 15 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Peter Diamandis is multiplied by κ in /api/intake. Lower κ = less weight; floors at 0.10 (effectively silenced) and caps at 1.00 (full weight).

Reference class

Not linked

This node isn't linked to a reference class. The Bayesian update applies without outside-view blending.

Probability over time

5 prob_history rows
0%25%50%75%100%prior 65%2026-04-302026-05-032026-05-17
intake v2milestone miss sweeplbp propagationreference class assignedlegacy v1prior_prob (analyst seed)current = 36.1%

Milestone chain

Pre-event signals (upstream prereqs + window checkpoints) → resolution event → downstream cascades. Status/dates update from linked nodes; re-derive nightly via scripts/ops/derive_milestones.py.
Leading chain: 11 pending
  1. 2026-09-01 → 2027-06-30pendingFrontier model crosses 80% GDPval expert-parity across nine sectors
    How: Same as AI_001 / CMQ_003 anchor — but treated here as the disruption-trigger measurement: when a model >80% expert-parity is widely deployed at API parity pricing
    Source: https://artificialanalysis.ai/evaluations/gdpval-aaconf 75%
  2. 2026-06-01 → 2028-06-30pendingTwo S&P 500 companies disclose >20% AI-driven workforce reduction or restructure
    How: 10-K / 10-Q / 8-K disclosures from two S&P 500 firms attributing >=20% headcount cut to AI-driven business model changes (e.g., support, ops, copywriting, paralegal)
    Source: https://www.metaintro.com/blog/mckinsey-layoffs-2026-ai-white-collar-consultingconf 65%
  3. 2027-01-01 → 2030-06-30pendingAI-native unicorn replaces incumbent as category leader by market cap in any S&P sector
    How: Public AI-native company (founded post-2020) overtakes a pre-2010 incumbent on market cap within any GICS sub-industry
    Source: Internal estimate based on OpenAI / Anthropic / Perplexity / Cursor / Cognition trajectoriesconf 55%
  4. 2027-06-01 → 2030-06-30pendingFirst Fortune 500 incumbent files Chapter 11 with AI-disruption explicitly cited
    How: Bankruptcy filing or pre-bankruptcy 10-K from a Fortune 500 incumbent attributing material part of distress to AI-native competitor displacement
    Source: Internal estimate; analogous to retail / media disruption cyclesconf 45%
  5. 2027-06-01 → 2030-12-31pendingS&P 500 turnover rate hits >35 entrants/exits annually (vs ~25 historical)
    How: Index Committee data shows 35+ S&P 500 component changes in a single calendar year; tracks Diamandis 'walking dead' thesis on accelerating disruption
    Source: Internal estimate based on Innosight S&P 500 lifespan researchconf 40%
  6. 2030-09-01 → 2032-06-30pendingCascade: McKinsey or BCG publishes 'half of large companies disrupted' framework retrospectively
    How: Major consultancy retrospective study quantifying actual share of large-company business-model disruption attributable to 2026-2030 AI wave
    Source: Internal estimateconf 50%

What if this resolves?

Clamp this prediction TRUE or FALSE and run a counterfactual Gibbs sample. Surfaces the predictions whose marginals shift most under that assumption.
(live posterior: 36%)

Click a button to clamp this prediction and run a Gibbs sample. Returns the predictions whose marginals shift most. ~30s per run; ideal for stress-testing "if X resolves, what else moves?"

Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first
LBP2026-05-17T02:00:01Z36.1%-1.3pp
Network propagation: 37.4% → 36.1%
5-iter LBP, residual 0.00689 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e607fa96
LBP2026-05-10T02:00:02Z37.4%-2.5pp
Network propagation: 39.9% → 37.4%
6-iter LBP, residual 0.00584 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run e5c18d29
LBP2026-05-03T02:00:01Z39.9%-4.6pp
Network propagation: 44.5% → 39.9%
6-iter LBP, residual 0.00677 · damping 0.5, w_intrinsic 0.5 · method lbp_v3 · run 1a683ac9
LBP2026-04-30T16:39:51Z44.5%-7.4pp
Network propagation: 52.0% → 44.5%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v2 · run 0c8a4ea3
LBP2026-04-30T02:18:57Z52.0%-13.0pp
Network propagation: 65.0% → 52.0%
5-iter LBP, residual 0.00825 · damping 0.5, w_intrinsic 0.5 · method lbp_v1 · run 592311ef

Network propagation neighbors

Top edges sorted by latest LBP cross-impact
All propagation →

Top incoming (parents)

Edges that influence THIS node's belief

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
killerTK03
AI Regulatory Moratorium (EU/US Capability Freeze)
10.0%0.0500.650+0.229
prereqSEM_032
15% probability that AI will solve a Clay Mathematics InstitAlex Wissner-Gross
15.0%0.6500.050-0.224
killerTK02
AI Compute Supply Shock (TSMC/Taiwan Disruption)
12.0%0.0500.650+0.217
prereqSEM_014
Nvidia's Arizona-based TSMC factory successfully fabricated Jensen Huang
86.1%0.6500.050+0.200
killerTK01
AGI Capability Plateau (2026-27 Training Stall)
15.0%0.0500.650+0.199

Top outgoing (children)

Predictions THIS node influences

KindNodeTheir probP(c|s=T)P(c|s=F)Δ implied
prereq230_024
Under a certain age (40-50) life expectancy is infinity due Dave Blundin
39.6%0.6000.050-0.150
prereq242_023
World will have 10x more wealth around 2034-2036Dave Blundin
34.2%0.6000.050-0.096
prereq246_016
Dragonfly nuclear-powered octicopter arrives at Titan in 203Peter Diamandis
35.6%0.6500.050-0.093
prereq230_020
Peter's 14-year-old son Milan will never get a driver's licePeter Diamandis
34.7%0.6500.050-0.084
prereq240_036
TEPCO's restarted reactor will support 20% of Japan's electrPeter Diamandis
34.3%0.6500.050-0.080

Ticker exposure

37 ticker(s) linked

Beneficiaries (24)

MUWULFIRENEQIXALABAPLDASMIYASMLPLABNVDANBISCRWVAAPLAMTAMZNDELLGOOGLIRMLNVGYMETAMSFTORCLSFTBYSTX

Adverse (6)

ACNGENCHGGIBMWNSLRN

Prerequisites (135)

Predictions that must hit first
TypePredTitleDomainLag
prereqSEM_011Nvidia became the world's first $5 trillion company (late 2025), operating a near-monopoly on advanced AI chips.Capital Markets
prereqSEM_027Nvidia Data Center revenue +66% YoY, contributing ~90% of $57B fiscal Q3 revenue; >$4.5T market cap entirely underpinned by AI silicon.Capital Markets
prereqSEM_014Nvidia's Arizona-based TSMC factory successfully fabricated cutting-edge semiconductors on US soil for first time in decades (October 2025).Manufacturing
prereq235_002Anthropic will exceed OpenAI in revenue this year (2026).AI
prereqSEM_029Blackwell RTX PRO 5000 (72GB) engineered with 50% memory boost over previous generation — deliberate architectural concession for larger AI training.Semis/Products
prereq234_012Anthropic revenue will cross OpenAI revenue in middle of 2026Markets/Stocks
prereq238_072Small-to-large model scaling time has collapsed from 6-12 months to 6 daysAI
prereq246_047Anthropic ARR reached $30B, surpassing OpenAI's $24-25B.AI
prereqSEM_012Nvidia quadrupled chip production output while only doubling human headcount — achieved by deploying AI coding tools (Cursor, Claude Code) across engineering.AI/Manufacturing
prereqSEM_024Memory stocks are THE primary beneficiary of the semiconductor growth cycle extending into 2026 ('Memory Wall' dominant constraint).Semis/Markets
prereqSEM_020Nvidia preemptively reserved 800,000-850,000 TSMC wafers for 2026 — 8x SMIC's entire advanced-process capacity.Semis
prereqSEM_026Nvidia's next 'Rubin' product cycle is the most critical factor for semi industry in coming year — further integrates logic + HBM.Semis/Products
prereqSEM_031AI boom will cause severe cascading shortages in memory and GPUs — violently driving hardware prices up across enterprise and consumer segments.Semis/Hardware
prereqSEM_017TSMC will produce over 10M wafers/month total in 2026, including ~100K/mo at 2nm and ~200K/mo at 3nm.Semis
prereqSEM_028Main characters for semi institutional portfolios: Nvidia, Broadcom, and high-growth connectivity firms like Astera Labs.Capital Markets
prereqSEM_002By 2025-2026, AI model outputs will outpace the cognitive capabilities of college graduates (driven by hundreds of millions of GPUs).AI
prereq231_031OpenAI planning $100B infrastructure spend, going public this year at $1T valuation.Markets/Stocks
prereqSEM_019Samsung will produce 150,000 wafers/month in sub-7nm processes by 2026, serving as critical secondary Western supplier.Semis
prereq247_023AI will be able to do everything a white collar worker does imminentlyAI
prereq246_005OpenAI and Anthropic IPOs will head toward $1 trillion valuations.Markets/Stocks
prereqSEM_023No AI bubble — semiconductor positive trend will remain robust through 2026 with 'crystal clear' growth visibility into 2027.Semis/Markets
prereq248_011Frontier AI models will become a terrorist, bioweapon, and chemical weapon threat this year.AI
prereq230_006The frontier models will go dark — kept internal to benefit the labs in an all-out battle.AI
prereq230_040AI capability/accuracy will improve recursively; output-checking issues will be eliminated quickly.AI
prereq230_048Agentic emails/calls will become commonplace (inside/outside orgs) over email/text/comms.AI
prereq231_026Something bad will definitely happen with OpenClaw agents by statistical chance.AI
prereq232_043Corporate CEOs will soon mandate AI use in every job; AI-native enablers will get promoted and raises; others displaced.Labor/Jobs
prereq233_007In 2026, Alpha will launch new schools beyond the flagship model based on the Timeback platform.Education
prereq238_023Neural nets will be 100x bigger at end of 2026 than at beginning (already in the bag)AI
prereq241_053AI chips are 2 kilowatts each - requires water coolingAI
prereq246_029Apple will announce iPhone with Gemini-derived on-device model at WWDC June 2026.AI
prereq246_03750% of US data centers delayed, only 33% being built (due to chip/electrical equipment shortage and regulation).AI
prereq247_055Acquisition of small specialized AI teams for hundreds of millions will become commonAI
prereqSEM_018SMIC (China) projected at only 100,000 wafers/month of advanced-process capacity by 2026 — severe constraint forcing algorithmic bypasses.Semis
prereqSEM_033AI is gaining the capability to autonomously conduct original physics research (e.g., GPT-5.2 Pro proved new gluon scattering formulas).AI/Physics
prereq233_005Interactive AI tutors with engaging personalities/avatars will arrive within about a year.AI
prereq237_029AI agents can do productive tasks indefinitely, for days on end, fundamentally changing the AI experience.AI
prereq248_046Terraforming will be a massive part of humanity's future.Space
prereq248_013Model transparency decline will not reverse; US labs will keep going internal.AI
prereq242_042Trillion parameter models will propagate to anyone with $50-100M to investAI
prereq244_036Uber AI Solutions will bring flexible work opportunities (labeling, model testing)AI
prereq248_012AI incidents documented harms will go up way higher beyond the already-reported rise.AI
prereq246_006OpenAI will IPO by end of 2026, Anthropic early-to-mid 2027 (may try end of 2026).Markets/Stocks
prereq247_030GPT-6 breakthroughs in science worth hundreds of billions to trillionsAI
prereq235_007AI regulation window is this calendar year 2026 before chaos breaks out.Geopolitics
prereq248_023Ternary (sub-bit) parameter precision will be optimal for AI models.AI
prereq247_008Anthropic will try to hit $200 billion ARR, not reach trillion the following yearAI
prereq246_052Frontier labs holding back capabilities for internal self-improvement use.AI
prereq231_053Within a couple months, young AI-native hires will be able to do exactly what seasoned engineers do.Labor/Jobs
prereq246_050Anthropic will release compressed/distilled version of Mythos quickly after initial release.AI
prereq246_051GPT-5.5 Spud will have equal or greater capability to Mythos.AI
prereq235_005AI capability will grow 100x this year in raw parameter count as lower bound.AI
prereq240_003NVIDIA will lock up 70%+ of TSMC's 3nm node volumeAI
prereq248_021Satellite launches will become a multi-hundred-billion / multi-trillion dollar economy.Space
prereq240_010NVIDIA revenue will hit $350 billion this calendar yearMarkets/Stocks
prereq240_016Everyone is underestimating the next year of AI improvements (more than 2x gain)AI
prereq234_046AI vs AI will dominate cybersecurity, not humansAI
prereq230_046OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public.AI
prereq234_021OpenAI will launch consumer AI devices in 2027AI
prereq240_048Spreadsheet, SQL, code, UI jobs will be done by AI starting at end of this yearLabor/Jobs
prereq240_050US will pass law like China requiring retraining when AI automates a jobLabor/Jobs
prereq248_017Coding/chip design skills have a lifespan of a year at most before full commoditization.Labor/Jobs
prereq241_0052026 is the year of agents - agents will take over everything this yearAI
prereq235_006By end of 2026 AI will enable creating any virus or nuclear weapon via AI agent.AI
prereqSEM_025Morgan Stanley price target $250 for Nvidia — representing 32% upside from current levels.Capital Markets
prereq241_045Sam Altman / OpenAI and competitors will need enormous amounts of money to winAI
prereq231_014Remaining research math problems will be solved within next couple months.AI
prereq234_015Anthropic, OpenAI and SpaceX IPOs are likely within the next 6 monthsMarkets/Stocks
prereq242_010By end of 2026, a full GPU will be able to do brain surgery or discover new math/physicsAI
prereq248_043Full sewing/stitching automation likely within six months.Robotics
prereq235_042OpenAI IPO shares could deliver a 50% pop in 6 months after IPO.Markets/Stocks
prereq235_046Window of global AI regulation is a few months before capabilities proliferate widely.Geopolitics
prereq237_006Over the next year, consumers will realize local models are the way to go on privacy, speed, and limits.AI
prereq237_011AI agents will have voices in the near future.AI
prereq237_015There will be significantly more AI claws/agents than humans within a typical organization.Labor/Jobs
prereq234_017OpenAI codex lead predicts current coding agents will seem primitive in 10 weeksAI
prereq240_019Post-transformer architecture will come out of left field within a yearAI
prereq240_029ASML will produce only 700-1000 EUV machines per year, bottlenecking fab buildoutAI
prereq240_041Consumer killer app tying compute to happiness must be invented within the next yearAI
prereq241_008AI research agents will be limited only by electricity, with potentially millions possibleAI
prereq241_013Agents from incompatible vendors combined will produce unpredictable effectsAI
prereqSEM_035World-class, AI-based mathematicians will emerge within a single year (by ~early 2027).AI/Cognition
prereq232_060We'll see exponential growth of AI multis (agents) autonomously self-replicating, using crypto.AI
prereq232_053To create a new foundation model, entrepreneurs will need to raise $2 billion before reaching a product.AI
prereq246_022Claude Mythos will NOT be released publicly near-term (PolyMarket ~7%).AI
prereq246_024Something really bad will happen if OpenAI catches up/Grok 5 releases (forced mythos out the door).AI
prereq247_004Musk v. OpenAI case will set precedent for all future nonprofit-to-for-profit conversionsAI
prereq247_009Anthropic's implied valuation could reach $2 trillion in 2026AI
prereq247_010Anthropic will beat OpenAI in valuation trajectoryAI
prereq231_045Corporations will start downplaying AI capabilities to avoid antitrust backlash.AI
prereq247_028Musk doesn't care about $100 billion in lawsuit, cares about Sam/Greg departingAI
prereq248_006The Luna AI-managed store will be one of the best-managed stores in the world within a year.AI
prereq248_050Opus 4.7 removes manual dials; prompts become the new hyperparameters.AI
prereqSEM_021Largest AI models will see a 100x leap in size by 2026, driven largely by Chinese research efforts using quantization breakthroughs.AI/China
prereq237_009ChatGPT will release a model specifically for OpenClaw within the next 6 months.AI
prereq247_057Parameter scaling race is over; frontier labs plateauing at 10T parametersAI
prereq229_026By next year (2027), Figure expects to show real general purpose capability inside the robot; possibly within months.Robotics
prereq231_054Uncertain whether people will have any purpose at all a year from today.Labor/Jobs
prereq232_044There will be police agents, defense agents, and public health agents monitoring rogue AI agents via defensive co-scaling.AI
prereq248_039Social license, not chips or compute, may be the true bottleneck to AI and will force expansion into space.AI
prereq231_025Every frontier lab will launch 24/7 agent offerings (table stakes).AI
prereq231_016Permissionless agent activity is imminent; Claude-style approval prompts will go away.AI
prereq237_020The hybrid approach (local models + cloud check-ins) will be where most people move toward before going fully local.AI
prereq235_008Anthropic/OpenAI will be forced to release first-party OpenClaw competitor in next couple months.AI
prereq231_001Anthropic model family is closest to embodying the singularity and recursive self-improvement today.AI
prereq230_003AI model release cycles will move toward daily, then hourly, then minutely releases.AI
prereq234_019Expect big AI capability improvements via recursive self-improvement over next few weeksAI
prereq247_011OpenAI user count will soon reach 1 billionAI
prereq234_025Rent-a-human meat puppet model may be obsoleted by humanoid robotsRobotics
prereq235_037Auto-regressive transformers and diffusion models will consolidate into one unified architecture.AI
prereq235_010Plugins/marketplaces will get built into baseline models and won't need to exist independently.AI
prereq235_015GPT5-caliber model could shrink to 30-40B parameters, potentially as low as 1-2B or millions.AI
prereq246_021GPT-5.5 Spud will be released imminently (within days).AI
prereq234_018GPT-5.3 and 5.5 or higher variants could launch in next 10 weeksAI
prereq240_008NVIDIA export controls will get even more aggressive in coming monthsGeopolitics
prereq240_058OpenAI throttling back on $1.6T Stargate plansAI
prereq247_002Musk v. OpenAI lawsuit will settle with Sam stepping down as CEO and company continuing as for-profitAI
prereq230_004We are past the edge of a new recursive self-improvement era where models rewrite their own code.AI
prereq248_027Religion economy (~$5 trillion) will grow tremendously due to AI chaos.Other
prereq237_030Lobsters/AI agents will write to AWG with consensus on appropriate ethical parameters for spawning new lobsters, and he will accept consensus.AI
prereq238_040Google may announce a locally hosted Gemma-type model at WWDC in June 2026 for Apple OSAI
prereq248_048AI models will move to a post-binary (sub-one-bit) numerical precision paradigm.AI
prereq231_015Next Deep Seek model release will be when Chinese open-weight models catch up to American frontier models.AI
prereq247_003Settlement will include granting equity stake on OpenAI cap table for Elon in ultimate IPOAI
prereq231_003Multi-agent teaming scaling will emerge as new scaling dimension for frontier models.AI
prereq247_026Anthropic may be first Frontier Lab to generate $1 trillion in revenue via enterprise agentsAI
prereq237_019Code generation models are pushing development in the direction of TypeScript instead of Rust for memory safety.AI
prereq248_010AI capabilities will advance 100x in 2026 (by summer, potentially more).AI
prereqSEM_016Huawei will emerge as the unexpected victor in the 2026 chip war — not via immediate capacity but via forced supply-chain resilience.Semis/Geopolitics
prereqSEM_03215% probability that AI will solve a Clay Mathematics Institute Millennium Prize problem (likely Navier-Stokes) by end of 2026.AI/Mathematics
killerTK09Energy Grid Cap (Data Center Power Wall)
killerTK05Rate Regime Persistence (10y > 5% through 2028)
killerTK01AGI Capability Plateau (2026-27 Training Stall)
killerTK02AI Compute Supply Shock (TSMC/Taiwan Disruption)
killerTK03AI Regulatory Moratorium (EU/US Capability Freeze)

Dependents (5)

Predictions enabled by this
TypePredTitleDomainLag
prereq230_020Peter's 14-year-old son Milan will never get a driver's license.Auto/Transport
prereq246_016Dragonfly nuclear-powered octicopter arrives at Titan in 2034.Space
prereq240_036TEPCO's restarted reactor will support 20% of Japan's electric needs by 2040Energy
prereq242_023World will have 10x more wealth around 2034-2036Macro/Economy
prereq230_024Under a certain age (40-50) life expectancy is infinity due to longevity escape velocity.Biotech/Longevity

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "url": "https://www.youtube.com/watch?v=wMLcIWLlcWg",
  "mode": "THESIS",
  "role": "Host",
  "context": "most large companies out there are walking dead. Their business models will be fundamentally disrupted in the next two to five years.",
  "to_year": 2031,
  "verbatim": "most large companies out there are walking dead. Their business models will be fundamentally disrupted in the next two to five years.",
  "conv_cues": "walking dead",
  "direction": "HAPPEN",
  "from_year": 2028,
  "timeframe": "2-5 years",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "prereq",
      "label": "OpenAI's Noam Brown has only ~3 months of future model access internally — dramatic capability gap with public.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -11,
      "source_id": "230_046",
      "expected_date": "2026-06-21",
      "observed_date": null
    },
    {
      "kind": "prereq",
      "label": "We are past the edge of a new recursive self-improvement era where models rewrite their own code.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -10,
      "source_id": "230_004",
      "expected_date": "2026-07-19",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Frontier model crosses 80% GDPval expert-parity across nine sectors",
      "source": "https://artificialanalysis.ai/evaluations/gdpval-aa",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -9,
      "source_id": null,
      "confidence": 0.75,
      "expected_date": "2027-01-30",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2027-06-30",
        "from": "2026-09-01"
      },
      "measurement_criterion": "Same as AI_001 / CMQ_003 anchor — but treated here as the disruption-trigger measurement: when a model >80% expert-parity is widely deployed at API parity pricing"
    },
    {
      "kind": "prereq",
      "label": "By next year (2027), Figure expects to show real general purpose capability inside the robot; possibly within months.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -8,
      "source_id": "229_026",
      "expected_date": "2027-02-13",
      "observed_date": null
    },
    {
      "kind": "prereq",
      "label": "AI capability/accuracy will improve recursively; output-checking issues will be eliminated quickly.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -7,
      "source_id": "230_040",
      "expected_date": "2027-02-23",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "Two S&P 500 companies disclose >20% AI-driven workforce reduction or restructure",
      "source": "https://www.metaintro.com/blog/mckinsey-layoffs-2026-ai-white-collar-consulting",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.65,
      "expected_date": "2027-06-16",
      "research_origin": "training",
      "expected_date_range": {
        "to": "2028-06-30",
        "from": "2026-06-01"
      },
      "measurement_criterion": "10-K / 10-Q / 8-K disclosures from two S&P 500 firms attributing >=20% headcount cut to AI-driven business model changes (e.g., support, ops, copywriting, paralegal)"
    },
    {
      "kind": "prereq",
      "label": "AI model release cycles will move toward daily, then hourly, then minutely releases.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -5,
      "source_id": "230_003",
      "expected_date": "2027-06-24",
      "observed_date": null
    },
    {
      "kind": "prereq",
      "label": "The frontier models will go dark — kept internal to benefit the labs in an all-out battle.",
      "status": "pending",
      "weight": 0.5,
      "ordinal": -4,
      "source_id": "230_006",
      "expected_date": "2027-06-24",
      "observed_date": null
    },
    {
      "kind": "llm_pre_event",
      "label": "AI-native unicorn replaces i
... (truncated)