Research — Cost
Research that measures AI cost.
Prices AI spend — tokens, seats, or infrastructure against a rate card. Every entry below is tagged cost by an editor, not by the source itself, and carries its own source, publication date, and last-checked date.
Uruba Niazi
Sep 2026
The AI Value Account
A weekly newsletter with practical frameworks for connecting AI spend to business outcomes. Recent issues cover finance ownership of AI economics and the gap between AI cost visibility and return — the same distinction this site's own taxonomy is organized around.
CIO Dive
Sep 2026
CIO Dive (newsletter)
A free trade newsletter covering enterprise AI spend and cost management, including coverage of the Tokenomics Foundation launch also cited elsewhere in this index.
CJ Gustafson
Sep 2026
Mostly Metrics
A weekly finance newsletter from a former tech CFO, widely read by CFOs and FP&A teams. Useful for how finance leaders budget for and measure AI, more than for any single cited figure.
FinOps Weekly
Sep 2026
FinOps Weekly
A practitioner newsletter with over 7,000 readers; recent issues cover tokenomics and AI cost discipline. Low evidence level — practitioner commentary rather than original data.
Ramp
Sep 2026
Ramp Economics Lab
A monthly Ramp AI Index update built from card and bill-pay data across 70,000+ US businesses, now splitting AI spend across subscriptions, coding agents, and tokens/APIs. Built entirely from Ramp's own customer base — sample-flag it the way this index flags any single-platform data source.
Ray Rike and Peter Buchanan
Sep 2026
AI to ROI
A weekly issue with an AI story, report, metric, and use case of the week, plus a Saturday news roundup. The authors also publish the Big Book of AI Metrics, a standing collection of 81 metrics. Also on Substack.
Tokenomics Foundation
Sep 2026
The Tokenomics Brief
J.R. Storment's Foundation-run show. Episode 17 proposes a "Total Cost of AI" framing, arguing token and API costs make up only 10 to 25% of what AI actually costs an organization. Episode 16, "Routing Wars," covers early State of Tokenomics buy-side data: over 80% of respondents are using, implementing, or evaluating model routers, with cost-per-outcome replacing cost-per-token as the tracked metric.
FinOps Foundation
Sep 2026
FinOpsPod
The Foundation's own practitioner show. Episode 42 covers AI cost tracking across both SaaS-based and self-hosted models.
Benchmarkit
Sep 2026
AI to ROI
A weekly show hosted by Ray Rike on how enterprises measure AI ROI. Notable episodes include a deep dive on Mavvrik's AI cost-governance approach and a rundown of five AI spend metrics every CFO should track.
FinOps Foundation
Sep 2026
FOCUS for AI
Spec-level guidance for mapping token usage, model SKUs, and reserved throughput into FOCUS's standard billing columns — the technical layer underneath this site's own cost-attribution and cost-per-token glossary entries.
Techstrong IT
Sep 2026
FOCUS 1.4 and the Road to 1.5
Trade coverage of the FinOps Foundation's FOCUS specification extending into AI cost data. Notes that the upcoming 1.5 release is expected to add provider price-list data and native token tracking to the standard.
Monitaur
Aug 2026
Token Economics (Tokenomics)
An AI-governance vendor's episode on tokenomics, aimed at a governance and compliance audience rather than finance.
FinOps Foundation working group
Jul 2026
Accurate Company Valuations Using FinOps Principles
Applies FinOps cost-attribution discipline to company valuation itself — treating technology investment value as something that should be traceable the same way cloud spend is. A niche but concrete example of the "govern the assumption layer" gap this site's vendor research keeps surfacing.
FinOps Foundation
Jun 2026
FinOps X 2026 Day 2 Keynote
Covers FOCUS 1.4 and introduces a Crawl, Walk, Run maturity model for agentic AI spend — the practitioner-facing follow-on to Day 1's Tokenomics Foundation announcement.
FinOps Foundation
Jun 2026
FinOps X 2026 Day 1 Keynote: The Wild West of AI
The keynote where the Tokenomics Foundation initiative was introduced — converting energy and capital into AI tokens, then using those tokens efficiently to create value. A primary, dated snapshot of where the category's own standards body saw things heading, worth revisiting against how the year actually played out.
S&P Global
Jun 2026
Next in Tech, Episode 273: FinOps and AI
An analyst recap of the FinOps X 2026 announcements, noting that AI cost metrics remain far more opaque than cloud cost metrics were at the same stage of FinOps's maturity. Analyst-level evidence rather than primary data.
CloudZero
Jun 2026
Finance Needs AI ROI
A vendor-commissioned survey of 260 finance executives, including 135 CFOs. The finding worth citing is the gap, not the framing: 87% say they need to tie AI spend to outcomes within the year, but only 22% say they can do that today. CloudZero both conducted the survey and sells the product that closes this gap — read accordingly.
FinOps Foundation
Jun 2026
Tokenomics and FinOps: How Do They Fit Together?
Positions tokenomics as a companion discipline to cloud FinOps rather than a replacement for it — one lens on unit cost, one on value management, meant to be read together. Useful for explaining to a finance audience why this site treats them as adjacent, not identical.
FinOps Foundation working group
May 2026
FinOps for AI: Tools & Services Considerations
A vendor-neutral checklist for evaluating AI cost-management tooling — what to ask about token costs, GPU costs, and vendor selection before buying. A good cross-reference against this site's own vendor directory before taking any vendor's cost-visibility claim at face value.
FinOps Foundation
May 2026
FinOps for AI Overview
The Foundation's own implementation-guidance baseline for applying FinOps discipline to AI workloads — cost allocation, GPU utilization, and usage optimization as a practice, not a single tool. Useful as the reference definition to check any vendor's "FinOps for AI" claim against.
FinOps Foundation
Apr 2026
GenAI-FinOps: How Token Pricing Really Works
A practitioner-level teardown of what advertised per-token pricing actually leaves out — pricing tiers, cached inputs, routing, and context length all move the effective cost away from the list price. Directly underwrites this site's distinction between API list price and effective token cost.
FinOps Foundation working group
Apr 2026
Unlocking AI Business Value with FinOps
The clearest practitioner framework for connecting AI spend to outcomes rather than just tracking it. Introduces the production → consumption → monetization model this site's glossary borrows for tokenomics terms.
FinOps Foundation
Mar 2026
Token Economics: The Atomic Unit of AI Value
The source essay for treating the token as the atomic unit of AI economics — production, consumption, and monetization as three linked layers. This site's tokenomics glossary entries are built on this framing directly.
Deloitte
Mar 2026
AI ROI: The Paradox of Rising Investment
The strongest "finance reality check" in the set: payback periods running longer than boards expected, even as budgets keep rising. Separates modeled ROI from realized ROI explicitly.
Consero Global
Jan 2026
2026 CFO Report
102 finance leaders at private-equity- and venture-backed firms. Ranks AI use cases by payback period and names data readiness as the top blocker to realizing it. A services firm survey of its own client base — bias-flag it the way this index flags any vendor- or advisor-run sample.
FinOps Foundation
Jan 2026
State of FinOps 2026
The Foundation's annual benchmarking survey on FinOps maturity, now extending into AI spend management and governance. A useful adoption baseline to read against the AI-specific surveys elsewhere in this index, since it is measuring a practitioner population rather than a vendor-selected one.
IDC, commissioned by Microsoft
Jan 2026
The Business Opportunity of AI
The source of the "$3.70 return per dollar spent" figure that circulates across the category, usually stripped of attribution. A survey of 2,000 enterprises, sponsored by a vendor with a direct stake in the answer — read the multiple, but reconcile it against your own invoice before citing it.
PwC
Jan 2026
29th Global CEO Survey
4,454 CEOs across 95 countries. The strongest skeptic anchor in the set, and more current than Deloitte alone: more than half of respondents report neither a cost nor a revenue benefit from AI.
Forrester
Nov 2025
Predictions 2026: AI Moves From Hype To Hard Hat Work
Forecasts enterprises deferring roughly a quarter of planned 2026 AI spend into 2027, because fewer than a third of decision-makers can tie AI value to financial growth. The skeptical analyst framing this site is built around — and it is Forrester's own research, not a secondary summary of Gartner.