Now, this is a quick post
about private equity and the
challenges that those companies face at the moment.
Now, I saw a news article this morning,
which is the 13 ,000 company backlog
redefining success in private equity.
Now, in the article, they talk about the
biggest challenge in 2026 isn't raising money or
finding deals, it's returning capital. Now,
some of the reason for that is, is
private equity firms buying at the top of
the sort of bubble and top of the
wave and then trying to monetize
those returns that are making money.
Now, a lot of the stuff going on
at the moment in the in the world,
obviously, is AI and how to leverage AI
and the key for a private in private
equity firms.
It's a mouthful from Monday morning is, of
course, being able to leverage the data, leverage
the information that they have inside of these
companies to increase the value of those companies
for any potential buyer. Now,
AI is an obvious way to be able
to leverage that.
But going back to a post that I
made on LinkedIn this morning,
to be able to do that, you also
have to have your data in good order
and good standing so that you can leverage it properly.
What do I mean by that?
Well, a lot of private equity firms
have small backroom staff, they may not leverage
the infrastructure, the compute and the data and
the knowledge that they have as they should,
or, you know, not not to its fullest ability.
And so in doing that, they're leaving a
lot of money on the table that could
otherwise be used, you know, in terms of company value.
And so, you know, what can you do
inside of your organization?
This isn't just private equity, it just happens
to be a topic that's swung
by my desk today.
You know, what can you do internally at
your organization to better monetize the data that
you have in hand?
You don't have to go and find loads
more data, but you do have to be
able to trust the data that you have.
And you do want to be able to
use that data to be able to provide
as much insight as possible.
And it doesn't, of course, have to be
AI driven for not for a second, like,
you know, in terms of dashboard analytics and
things that you want to be able to
deliver to your customers.
AI just happens to be a trendy byproduct
of all of that at the moment.
If your data does not make sense, neither
will the output that's coming from your dashboards
or your LLM.
So bear that in mind, what can you
do better inside of your organization to leverage
that data to the most, the best of
its capability to deliver the most revenue for your business?
That's all for today.
Thank you for joining the AI briefing.
My name is Tom.
I'll be back tomorrow with some more insight and knowledge.
Goodbye for now.