Small Business, Financial Services, the End of Flat-Rate AI — and the CMO's AI Decision
Editor's Take
A note on format this week. Trying something tighter — less editorializing, more signal. Three news items, each readable in a minute, with the video or source one click away. The Org section goes deep on one topic with an interactive dashboard underneath.
This week: a step-by-step demo of Anthropic's new Small Business plugin, a walkthrough of Claude for Financial Services, and the end of all-you-can-eat AI — token economics is now part of every serious AI strategy.
Anthropic launched Claude for Small Business on May 13 — a plugin inside Claude Cowork aimed at "the local hardware store or coffee shop." 15 pre-built workflows activate on a toggle install. Connectors at launch: QuickBooks, PayPal, HubSpot, Canva, Docusign, Google Workspace, Microsoft 365. Workflows include payroll planning, 30-day cash forecasting, month-end close, overdue invoice chasing, contract review, lead triage, margin analysis, and employee onboarding. The video below shows the install and first usage end-to-end.
Strategic read: Claude isn't replacing QuickBooks — it's becoming the layer the owner interacts with, with QuickBooks as the database underneath. That changes who captures the customer and who sets the price. Salesforce, ServiceNow, Intuit, DocuSign, and Box have all underperformed year-to-date. Dario Amodei: "some SaaS companies will go bankrupt" if they don't keep pace.
Step-by-step demo: installing and using Claude for Small Business plugins.
Issue #10's deep dive covered the Anthropic financial-services launch at the strategic level — 10 end-to-end agents, 11 licensed MCP connectors (FactSet, S&P Global, Morningstar, Moody's, PitchBook, LSEG, et al.), Apache 2.0, 16,500 GitHub stars in five days. What was missing was the operational view: what does it actually look like when an analyst installs and uses these things? The walkthrough video below fills that gap. Highlights: how the Cowork plugin installs in under five minutes, what the slash commands feel like in practice (/comps, /dcf, /lbo, /ic-memo), how the "AI drafts, humans sign off" pattern shows up in the actual deliverables, and how the licensed-connector layer behaves when the analyst doesn't have a seat. Useful for anyone in a financial-services AI evaluation right now.
Step-by-step walkthrough of the Claude for Financial Services agents and connectors.
Altman publicly admitted OpenAI is losing money on the $200/month ChatGPT Pro plan. Anthropic has been quieter but moved third-party agent tool usage behind a credit meter in May, and Enterprise tier now meters every token at standard API rates on top of seat cost. Axios: "all-you-can-eat" subscriptions may not survive the agent era. The frontier labs are quietly migrating their best customers off flat-rate billing.
PowerPoint is where this lands first. Decks are extraordinarily token-intensive — research, layout reasoning, copy, visuals, template iteration. Writer and Claude lead PowerPoint generation today (Writer especially for enterprise governance and brand-fidelity); GPT-5.5 + Codex is closing the design gap fast and in one reviewer's master-slide test produced a fully themed deck in one shot where Opus 4.7 left the template untouched. ChatGPT Image 2.0 + Codex will likely close the remaining gap within two product cycles.
For a CAIO: token economics now belongs alongside vendor risk in every AI deployment plan. Three questions per tool launch: which model handles which task (Haiku vs. Opus is a 5–25× cost swing), what gets cached vs. regenerated, and how usage gets attributed. A single autonomous agent running all day can cost $1,000–$5,000 under metered billing — a different conversation than a $20 seat.
The CMO's AI Decision: From Content Speed to Operating-Model Reinvention
A companion executive briefing for CMOs, Chief Growth Officers, Chief Digital Officers, Chief Data Officers, General Counsel, and CEOs.
Heads-up: A short TL;DR, then an interactive briefing dashboard embedded below. The dashboard is the main deliverable this week — navigate the 9 sections by the sidebar inside it.
Disclaimer: All opinions in this briefing are my own. They do not represent the company's position. This is meant as an academic discussion of marketing AI transformation.
TL;DR
Enterprise marketing has reached AI ubiquity — but not AI value. McKinsey's State of AI 2025 (1,993 respondents, ~105 countries) finds 88% of organizations now use AI in at least one function, with marketing and sales among the top adopters. Yet only approximately 6% qualify as "AI high performers" — defined as reporting both more than 5% of EBIT attributable to AI and significant enterprise value from AI. The differentiator between adopters and winners is people redesigning work alongside AI — not tool count, and not headcount cuts: McKinsey finds 55% of high performers report fundamental workflow redesign vs. only 20% of all other respondents.
The leading edge has shifted from "AI for content" to four harder bets: (1) an industrial AI-enabled content supply chain (Unilever, Coca-Cola, Klarna); (2) agentic campaign operations (BCG: marketing leaders expect AI agents to handle more than one-fifth of marketing's workload within two to three years); (3) federated brand-governed AI (Unilever's Brand DNAi, Coca-Cola's Digital Council); and (4) the CMO as enterprise growth-transformation lead — IBM IBV's 2025 study of 1,800 executives finds 64% of marketing leaders now own profitability and 58% own revenue growth.
Speed has outpaced governance, and that gap is now the dominant risk. The FTC's 2024 Fake Reviews Rule (effective October 21, 2024; civil penalties up to $53,088 per violation in 2025), the EU AI Act's prohibited-practices regime (fines up to 7% of global annual turnover), and SEC AI-washing enforcement have together redrawn the marketing AI red lines. Gartner finds CMOs allocate an average of 15.3% of marketing budgets to AI, yet only 30% report mature AI readiness — and 71.6% of marketers who have AI policies have not established ROI targets for those investments.
The cautionary lesson is Klarna. After publicly cutting service capacity in 2024 with AI substitution, the company began re-hiring human agents in 2025 after CEO Sebastian Siemiatkowski acknowledged that AI-only service had produced lower quality. The consensus across the report's evidence base is now clear: AI works as augmentation. Pure substitution fails.
Interactive Briefing
The dashboard below is the full evidence layer behind the TL;DR — nine sections covering the thesis, the adoption-vs-value paradox, workflow redesign patterns, four enterprise case studies (Unilever, Coca-Cola, JPMorgan, Klarna), a maturity model, the four-tier AI red-lines framework, the 2024–2026 regulatory enforcement record, and an 18-action CMO roadmap across 0–24 months. Use the sidebar inside the dashboard to navigate.
Stop benchmarking AI adoption by tool count. Start benchmarking by the question every consulting firm in the bibliography is converging on: how much of your marketing workload has been redesigned around AI, and what share of growth is now attributable to it? By 2027, the difference between marketing functions that thrived through the AI transition and those that did not will not be access to models — every CMO will have access to the same frontier models, platforms, and agencies. The difference will be in workflow redesign depth, upstream governance, and whether the CMO claimed the enterprise growth leadership mandate that the AI moment is offering.
Sources
McKinsey.The State of AI in 2025: Agents, Innovation, and Transformation (QuantumBlack; 1,993 respondents, ~105 countries; June–July 2025).
BCG.From Campaigns to Business Value: How AI Will Transform Marketing (2025); The AI-Forward CPG Marketing Organization (2026); What CEOs Should Look For in an AI-First CMO (2025).
Accenture.Work, Workforce, Workers: Reinvented in the Age of Generative AI and Reinvention in the Age of Generative AI (2024–2025; 1,500 C-suite, 19 industries, 10 countries).
Deloitte Digital.Content [R]evolution series; Content Intelligence Hub (with Adobe and AWS, March 2024); State of AI in the Enterprise 6th Edition (2026).
IBM IBV.The CMO Revolution: 5 Growth Moves to Win with AI (2025; with Oxford Economics; 1,800 executives).
Ahrefs. April 2025 study of 300,000 keywords — AI Overviews CTR impact.
Academic. Ali et al. (CSCW 2019); Imana et al. (WWW 2021); Bianchi et al. (FAccT 2023); Argyle et al. (Political Analysis 2023); Bisbee et al. (Political Analysis 2024); Luguri & Strahilevitz (J. Legal Analysis 2021).
Regulatory. FTC 16 CFR 465 (Fake Reviews Rule); FTC Operation AI Comply (2024); EU AI Act (Regulation 2024/1689) Article 5; EDPB Opinion 28/2024; SEC Marketing Rule and December 2025 Risk Alert; Getty v. Stability AI (UK High Court, Nov 4, 2025); U.S. v. Meta Platforms (2022 DOJ consent decree).
Enterprise cases: Unilever (Brand DNAi, Sketch Pro, SuperShoots, Nvidia Omniverse digital twins); Coca-Cola (Create Real Magic, Digital Council); JPMorgan Chase / Persado; Klarna (Copy Assistant, OpenAI service assistant; 2025 service re-hiring reversal); Prudential Financial / Norm.AI; L'Oréal; Mondelez (Cadbury); NatWest; Bayer / Pfizer / Novartis; WPP / Publicis / Omnicom / IPG.
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