A digital twin for strategy models your company, customers and competitors so you see a growth decision's likely effect before funding it.

AI for growth strategy means using AI to develop, rank and test the growth options a company could fund. Why it is hard, what AI does, and where AIPath fits.

Podcast interviews and talks by David Isaac, founder of AIPath, with the argument he made, verbatim quotes and the minute to start watching. One idea runs through all of them, from 2021 to 2025.

Most growth strategy tools implement and track a strategy already chosen. A growth strategy platform generates and tests it first. See where AIPath fits.

Growth decision intelligence is a young field. AIPath named it for the CEO in 2026 and sets out what it has built, what it has not, and what it must prove.

Analytics can only surface openings inside the funnel you already run. Here is where the next growth opening actually comes from, and how many options a leadership team should compare before committing.

The reasoning behind a growth decision usually lives in a deck and in one person's head. When the quarter turns or the person leaves, the next cycle starts near zero. Here is what changes that.

Dashboards report that a number moved, never whether the plan was wrong. Without a concurrent alternative there is no comparison that separates strategy from execution, so the review defaults to the people.

The annual budget is where growth strategy is actually decided. Every line funds one path and prices none of the alternatives. Here is the evidence a CEO should have before it locks.

Work management, OKR platforms and BI tools all claim strategy. AI for Growth Decision Intelligence is what none of them are and is what AIPath is for Growth Strategy.

ChatGPT frames growth strategy well and stops short of deciding it. Where a general model stops, what separates an answer from a decision a board can fund, and which job each tool is genuinely built for.

Every layer of the modern tech stack starts contributing after growth strategy is decided, leaving the C-Suite to develop growth strategy with no tools other than slides and whiteboards.

Growth Decision Intelligence is decision intelligence applied to the growth decision: which initiatives a company funds next based on the most valuable opportunities available. Gartner published its first Magic Quadrant for Decision Intelligence Platforms in January 2026, and every platform named in it decides operational risk such as credit, fraud and supply chains. AIPath generates growth strategy and ranks hundreds of thousands of options to pre-test before you build.

AI Chat wasn't designed to make strategy visible and editable. Teams need simulation & user testing to turn opinions into operating plans. Here's the playbook.

What if we could simulate our strategy before we commit the quarter to it?

In the next 3 to 6 months, AI-generated apps that once took months and millions in funding will be built in just 3 hours. This rapid development is flooding the market with unprecedented speed and scale. While this explosion of creativity is exciting, it also triggers decision anxiety. The overwhelming noise in the market can be challenging to navigate. Understanding the Landscape The Problem? A flooded pipeline of 'clone' startups with no clear unique selling proposition (US

Gone are the days of hit-or-miss strategies. Let's dive into how synthetic iteration can help you clarify your highest potential niche and potentially missing product features, without the fluff or guesswork. Hyper-Personalize Like a Pro: Tailoring Your Product to Every Customer's Dream Imagine delivering a product that hits the sweet spot for every user. AIPath's synthetic data magic makes this not just possible but effortless. By simulating a diverse range of customer perso