Where should a PE-backed media business start with AI?
An investor-backed media business should start with one decision that changes the value of the company, such as how a product is priced, packaged or positioned, and build a working first version of the AI around that decision on real work. Its owners judge it on what it can prove while they hold it, so one better call on product, price, positioning or people is worth more than a tool that saves a few hours in one team.
Most advice to media leaders lists AI uses department by department. For a business owned by private equity or venture investors, the order matters more than the list: start where a better decision changes what the company is worth, then spread.
A media business owned by private equity or venture investors runs on a clock. Its owners plan to hold it for a period and sell it for more, so every big project is asked the same question: will this make the company worth more while we own it?
AI makes that question harder, because there are so many places to use it. Newsrooms can draft faster, sales teams can research faster, and every department can produce a list of uses. The list is rarely the problem. The order is.
Why the list of uses is the wrong place to start
A list of AI uses by department spreads effort thinly. Each team saves some time, nobody can say what the time was spent on, and the board sees cost without a story. A year later the business has more tools and the same strategy.
The businesses that get value start from the other end. They ask which decision, if it were made better, would change what the company is worth. Then they build AI around that one decision first.
The four levers
For most media businesses that decision sits on one of four levers:
- Product. What you make and for whom, now that AI can make a passable version of much of it.
- Price. What buyers will pay for, when the cost of making content keeps falling.
- Positioning. Why an advertiser, a subscriber or a partner should choose you over a cheaper machine-made option.
- People. Which work your team should keep, and which work AI should carry.
A media business has assets AI cannot copy: relationships with an audience, rights to an archive, a brand people trust and editors with judgement. The strongest first projects make one of those assets worth more.
Build one working version and prove it
Pick the decision. Build a working first version of the system that supports it, using the tools you already have where you can. Use it on real work, with the leaders who own the result, and judge it by whether they would stand behind it.
That gives the board something to test rather than a plan to trust, and it gives the leadership team a capability they keep.
Where Mindmake fits
Mindmake is a small AI and commercial strategy practice. Build your AI revenue engine rebuilds a business's pricing, positioning, product and people for AI, then tests the change with real buyers. Build your AI brain builds a leader their own AI that holds their standards and judgement. Either way the work starts with one paid proof, scoped and priced privately, and the verified client stories are on Success stories.
Where we stand on this
- AI creates value at three levels: help with the task, bring what matters, and extend what the leader can do. The third is the one worth paying for.
- Time saved is the setup. The payoff is whose time comes back and what it is spent on.
- Advice leaves when the adviser does. A working system stays and gets better.
The questions that follow
Should we start with tools for making content faster?
Only if the cost of making content is the thing that moves the value of the business. For many media owners the bigger question is what their audience, archive and brand are worth to buyers now that AI makes content cheap.
How do we bring the board with us?
Show them one working result on real work. A board can test a working first version; a strategy deck it can only take on trust.
Do we need to hire an AI team first?
Usually not. A first version can be built with the leaders who own the decision and the tools the business already pays for. Hiring makes more sense once you know which capability is worth keeping.