Last checked: 7 November 2026
In short: AI strategy is a company’s plan for where it will use artificial intelligence, what results it expects, and what it will spend on data, tools, people and rules to get there.
Table of Contents
How it works
- Pick the goals. Leaders choose the business results AI should improve, such as lower costs, faster service or new revenue.
- Choose the bets. The team ranks possible uses by value and effort, then decides what to buy, what to build and what to leave alone.
- Fund and govern. The plan sets budgets, owners, staff training and rules for data and risk, and results are reviewed each quarter.
Where you’ll meet it
Board papers, annual reports and investor days now often include an AI section. Sales teams for Microsoft Copilot, Gemini and ChatGPT Enterprise will ask about your AI plans before they quote.
What it means for your business
- Start with your problems. List the three costs or delays that hurt most, then check where AI could cut them.
- Give it an owner. Name one senior person who answers for the budget and the results, or the plan stalls.
- Keep it short and dated. A two-page plan reviewed every quarter is easier to act on. AI tools change too fast for five-year plans.
Watch out for
- Strategy by press release. Announcing AI plans without budgets or measures leads to scattered pilots.
- Copying rivals. Their data, customers and skills differ from yours, so their plan may not suit you.
Example
JPMorgan Chase. The bank rolled out LLM Suite, its in-house generative AI portal, to staff from 2024. By May 2025 about 200,000 employees were using it, American Banker reported. In October 2025 chief executive Jamie Dimon told Bloomberg TV that the bank spends about $2 billion a year on AI and gets about $2 billion of benefit back.
AI strategy vs digital strategy
| AI strategy | Digital strategy | |
|---|---|---|
| Focus | Where AI improves decisions and work | How the business uses digital channels and systems |
| Typical question | Which tasks can AI do, with what data and safeguards | Which channels, platforms and systems to fund |
| How they relate | Usually part of the digital strategy | The wider plan that AI strategy sits inside |
Frequently asked questions
Does a small business need a written AI strategy?
Yes, though one page is enough. Note your goals, the tools you allow, who owns them, which data stays out, and how you will measure results each quarter.
How often should an AI strategy be reviewed?
Every three to six months. Tools, prices and rules change quickly, so a yearly review leaves plans out of date and lets unused licences pile up.
Who should own the AI strategy?
A senior leader who controls budget and can change how work is done. IT can run the tools, but business leaders must own the results.