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AI_012predictionMarkets/Stockssoftware-TAM-expansion

Software development markets will expand at approximately 20% annual rate, ballooning from current levels to $61 billion by 2029 — AI makes software vastly cheaper and faster to construct, thereby expanding total addressable market rather than shrinkin...

Predictor: Morgan Stanley

Prior probability
70.0%
Current probability
70.0%
evolves via intake + LBP
Conviction
4/5
Signal quality
B
Resolution
in_progress
Window
2029-01-01 – 2029-11-30
Edges in / out
0 / 0
Tickers exposed
0

Prediction text

Software development markets will expand at approximately 20% annual rate, ballooning from current levels to $61 billion by 2029 — AI makes software vastly cheaper and faster to construct, thereby expanding total addressable market rather than shrinking it. | Next MS AlphaWise CIO survey

Key catalyst: Next MS AlphaWise CIO survey

Watch events: IDC Developer-Tools market sizing; enterprise AI-coding procurement

Resolution evidence

Status: in_progress

AlphaWise 2025-2026 enterprise surveys show developer-tool spend growing 25%+ YoY; Cursor/Claude Code/Copilot enterprise contracts scaling consistently.

Predictor: Morgan Stanley

κ + Brier as of 2026-06-08
κ (discount)
0.688
Brier
0.0703
excellent
Hits / Misses
2 / 0
of 3 resolved
Hit rate
66.7%
Calibration plot (stated vs observed)

Evidence about this node from Morgan Stanley 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

0 prob_history rows
No probability history yet.

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: 7 pending
  1. 2027-01-31pendingWorldwide software spending exceeds $1.4T in 2026
    How: Gartner Q1 2027 IT spending update confirms 2026 software spending >$1.4T (already projected 14.7% growth); validates trajectory toward $61B AI-coding-tools subsegment by 2029
    Source: Gartner Feb 2026 IT spending forecastconf 85%
  2. 2027-12-31pendingAI software market reaches $200B annual spend
    How: Gartner AI software forecast tracker shows 2027 spend >=$200B en route to $297.9B by 2027; growth >=19% CAGR maintained
    Source: Gartner $297.9B by 2027 forecastconf 70%
  3. 2027-12-31pendingAI coding tools market reaches $25B annualized run rate
    How: MarketsandMarkets, IDC, or Gartner AI-code-tools tracker reports annualized spend >=$25B (was $12.8B in 2026) — implies maintained ~50% YoY growth rate
    Source: MarketsandMarkets AI Code Tools 2026 / TechInsider $12.8B 2026 figureconf 55%
  4. 2028-06-30pending>90% of Fortune 500 companies use AI-assisted development in production
    How: Morgan Stanley AlphaWise CIO survey or Stack Overflow Developer Survey reports >90% Fortune 500 enterprise penetration of AI coding assistants (was 78% in 2026)
    Source: TechInsider AI coding 2026 report (78% baseline)conf 70%
  5. 2029-03-02pendingQ1 window check-in (25%)
  6. 2029-05-01pendingQ2 window check-in (50%)
  7. 2029-06-30pendingQ3 window check-in (75%)
  8. 2029-08-30pendingSoftware-development TAM hits $61B by 2029
    How: MS AlphaWise CIO survey or successor Gartner forecast shows 2029 software-development tooling spend (excluding broader IT) reaches ~$61B with maintained ~20% CAGR
    Source: Morgan Stanley 20% CAGR / $61B 2029 forecastconf 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: 70%)

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Evidence chain

Every probability update with full Bayesian provenance — chronological, latest first

No probability history yet. The first evidence will arrive via /api/intake or the daily milestone sweep / weekly LBP run.

Network propagation neighbors

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

No propagation data yet. Run inference/.venv/bin/python scripts/ops/run_loopy_belief_propagation.py on the droplet, or wait for the Sunday 02:00 UTC weekly cron.

Prerequisites (0)

Predictions that must hit first
TypePredTitleDomainLag
No prerequisites

Dependents (0)

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Validations (1)

Resolution events
Observed atStatusByNotes
2026-04-29partialthesis_timeline_v1.0_importAlphaWise 2025-2026 enterprise surveys show developer-tool spend growing 25%+ YoY; Cursor/Claude Code/Copilot enterprise contracts scaling consistently.

Raw metadata

From Thesis_Timeline_v1.0_FINAL workbook
{
  "nia": false,
  "qty": "$61B / 20% CAGR",
  "mode": "FORECAST",
  "role": "Cited-Firm",
  "context": "Counterintuitive AI-expands-TAM thesis. Couples with AI_013 SaaSpocalypse destruction of incumbents. Morgan Stanley AlphaWise enterprise-survey methodology.",
  "to_year": 2029,
  "conv_cues": "institutional forecast; specific $ and growth rate",
  "direction": "NUMERIC_TARGET",
  "from_year": 2029,
  "timeframe": "by 2029",
  "conv_level": "HIGH",
  "milestones": [
    {
      "kind": "llm_pre_event",
      "label": "Worldwide software spending exceeds $1.4T in 2026",
      "source": "Gartner Feb 2026 IT spending forecast",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -7,
      "source_id": null,
      "confidence": 0.85,
      "source_url": "https://www.gartner.com/en/newsroom/press-releases/2026-02-03-gartner-forecasts-worldwide-it-spending-to-grow-10-point-8-percent-in-2026-totaling-6-point-15-trillion-dollars",
      "expected_date": "2027-01-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Gartner Q1 2027 IT spending update confirms 2026 software spending >$1.4T (already projected 14.7% growth); validates trajectory toward $61B AI-coding-tools subsegment by 2029"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI software market reaches $200B annual spend",
      "source": "Gartner $297.9B by 2027 forecast",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -6,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://www.linkedin.com/pulse/gartner-predicts-ai-software-grow-297-billion-2027-louis-columbus-okpfc",
      "expected_date": "2027-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "Gartner AI software forecast tracker shows 2027 spend >=$200B en route to $297.9B by 2027; growth >=19% CAGR maintained"
    },
    {
      "kind": "llm_pre_event",
      "label": "AI coding tools market reaches $25B annualized run rate",
      "source": "MarketsandMarkets AI Code Tools 2026 / TechInsider $12.8B 2026 figure",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -5,
      "source_id": null,
      "confidence": 0.55,
      "source_url": "https://www.marketsandmarkets.com/Market-Reports/ai-code-tools-market-239940941.html",
      "expected_date": "2027-12-31",
      "research_origin": "deep_research",
      "measurement_criterion": "MarketsandMarkets, IDC, or Gartner AI-code-tools tracker reports annualized spend >=$25B (was $12.8B in 2026) — implies maintained ~50% YoY growth rate"
    },
    {
      "kind": "llm_pre_event",
      "label": ">90% of Fortune 500 companies use AI-assisted development in production",
      "source": "TechInsider AI coding 2026 report (78% baseline)",
      "status": "pending",
      "weight": 0.4,
      "ordinal": -4,
      "source_id": null,
      "confidence": 0.7,
      "source_url": "https://tech-insider.org/ai-coding-tools-2026-transforming-software-development/",
      "expected_date": "2028-06-30",
      "research_origin": "deep_research",
      "measurement_criterion": "Morgan Stanley AlphaWise CIO survey or Stack Overflow Developer Survey reports >90% Fortune 500 enterprise penetration of AI coding assistants (was 78% in 2026)"
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q1 window check-in (25%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -3,
      "source_id": null,
      "expected_date": "2029-03-02",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q2 window check-in (50%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -2,
      "source_id": null,
      "expected_date": "2029-05-01",
      "observed_date": null
    },
    {
      "kind": "quartile_checkpoint",
      "label": "Q3 window check-in (75%)",
      "status": "pending",
      "weight": 0.05,
      "ordinal": -1,
      "source_id": null,
      "expected_date": "2029-0
... (truncated)