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Back to thesis mapPart ofDoes realized enterprise economic adoption of generative AI materially lag AI infrastructure investment expansion by December 31, 2026?
Event · ENTERPRISE ADOPTION & DEPLOYMENT

Will Gartner or Forrester publish a 2026 forecast revision showing total enterprise software spend growth decelerating below 8% YoY due to AI-driven consolidation?

Resolves Dec 31, 2026
Probability
66%

4-model average

Confidence
LOW

building category history

Stability
—

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Models
Aligned

10pt spread

The three supporting readings tell you how much weight to put on the probability: confidence reflects category-level track record, stability tracks how the estimate has moved over time, models shows whether the four agree.

Belief trajectory

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Per-model probabilities

GPT-4o
65%-1 vs avg

[FORRESTER] Forrester has a strong history of adjusting its forecasts based on emerging trends and market dynamics, particularly in the tech sector. Given the increasing focus on AI and its consolidating effects on enterprise software, Forrester may be more inclined to revise its predictions ahead of Gartner, as it often targets practical applications and shifts in user behavior.

Key uncertaintyA sudden, widespread adoption of AI solutions that leads to unforeseen growth in enterprise software could shift both analysts' projections unexpectedly.
Gemini
65%-1 vs avg

[GARTNER] Gartner has a slightly stronger reputation for comprehensive market forecasting and a more established process for producing detailed, forward-looking reports, making them more likely to publish such a revised forecast. While Forrester is a respected competitor, Gartner's breadth of research often leads them to be the first to identify and articulate emerging trends like AI-driven consolidation's impact on software spend.

Key uncertaintyNot specified
Claude
72%+6 vs avg

[GARTNER] Gartner has historically been more aggressive in publishing forecast revisions that reflect market consolidation trends and has greater visibility into enterprise software spending patterns through its advisory services. Forrester tends to publish broader market analyses less frequently revised, while Gartner's quarterly updates and Magic Quadrant revisions create more opportunities for them to publish a 2026 forecast revision incorporating AI-driven consolidation dynamics. The 8% threshold is plausible given current enterprise software growth rates (typically 10-12%), making this a realistic revision scenario that Gartner's data-driven approach would be more likely to capture and publish.

Key uncertaintyWhether either firm will explicitly attribute software spend deceleration to "AI-driven consolidation" specifically versus other market factors, as this framing is more consultant-specific than how these firms typically present forecasts.
GrokGrok
62%-4 vs avg

[GARTNER] Gartner has deeper enterprise software coverage and a longer history of issuing mid-cycle forecast revisions when macro or technology shifts (like AI-driven platform consolidation) materially change spending trajectories; its larger research staff and frequent CIO surveys give it both the data and incentive to flag a sub-8% growth call sooner than Forrester. Forrester tends to be more narrative-focused and slower to revise headline numbers, so the structural edge lies with Gartner.

Key uncertaintyTiming of when AI-driven platform consolidation actually shows up in CIO budget data versus remaining aspirational spend.

Resolution criteria

SourceGartner, Forrester software market forecasts 2026
CRENE-AIER-C090-20261231Generated Jun 17, 2026