How to Develop An AI Pricing Model | Salesforce Ventures

Ideas for AI in Sales Software

Products I'd pay for

Augment Code Pricing - Plans for Teams and Enterprise

Simple, transparent pricing for AI-powered development. Plans for individuals, teams, and enterprise.

AI Benefits - But at What Cost?

In 2026 we can all agree that AI and agentic development are certainly exciting topics which many see yielding great productivity gains. But as the investor-subsidized pricing of these services gives way to realistic and profitable business models, where will the real costs land?

AI Agents Will Be The Key To Achieving ROI From AI

AI agents are emerging as a crucial type of application for enterprises looking to derive more value from their AI investments in the near term.

Simple Pricing | Machine Learning Infrastructure | Deep Infra

We provide only pay-what-you-use pricing with no long-term contracts or upfront costs for our machine learning models and infrastructure. Learn more!

AI Simulation Platform for Human Behavior | Simile

Simulate how real customers respond to a launch, price change, or campaign — before you ship. Built by the Stanford researchers behind generative agents.

Pluralistic: Google’s AI pricing plan (21 Jan 2026) – Pluralistic: Daily links from Cory Doctorow

Google is spending a lot on AI, but what's not clear is how Google will make a lot from AI. Or, you know, even break even. Given, you know, that businesses are seeing zero return from AI:

Agents First

Every product is getting a second customer — the human who pays, and the agent who decides. A design framework for building products that AI agents can use as primary consumers.

Artificial Intelligence, Algorithmic Pricing, and Collusion

Increasingly, algorithms are supplanting human decision-makers in pricing goods and services. To analyze the possible consequences, we study experimentally the behavior of algorithms powered by Artificial Intelligence (Q-learning) in a workhorse oligopoly model of repeated price competition. We find that the algorithms consistently learn to charge supracompetitive prices, without communicating with one another. The high prices are sustained by collusive strategies with a finite phase of punishment followed by a gradual return to cooperation. This finding is robust to asymmetries in cost or demand, changes in the number of players, and various forms of uncertainty.

Pricing | Mistral AI

Compare Le Chat and Mistral AI Studio plans. Transparent pricing, scalable solutions—choose your AI power today.

The CEO’s Guide to Generative AI: Cost of compute

The IBM Institute for Business Value uses data-driven research and expert analysis to deliver thought-provoking insights to leaders on the emerging trends that will determine future success.'

Business Models in the AI Era

MIT CISR anticipates that rapid advancements in AI will drive business model evolution over the next decade, and we propose that business models in the AI era will become increasingly outcome oriented and enabled by autonomous AI. In this briefing, we draw on our research from 2013 to 2025 involving 2,378 companies to describe how digital business models have developed over the last twelve years, and introduce a framework for AI-driven, real-time business models. We illustrate how companies have begun exploring these new business models with a case study of One New Zealand.

Introduction to Agents

Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.

AI is probably not a bubble

AI companies have revenue, demand, and paths to immense value

AI is probably not a bubble

AI companies have revenue, demand, and paths to immense value