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Speaker 1: Hello Habit Mechanics
.

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It's Dr John Finn here.

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I hope you're having a great
week so far.

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So this is part three of our
how to Become a Human AI Coach

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mini-series, where we're going a
bit deeper into some of the

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later chapters in our new book
Train your Brain for the AI

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Revolution the proven four, four
step system to become

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irreplaceable, no tech skills
required.

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And our overarching point in
this little mini series, but

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also in the book, is, if we want
to capitalise on the amazing

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opportunities that ai revolution
holds or can potentially

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deliver for us individually and
collectively, we need to move

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away from this tech-centric
approach and have a more human

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centric approach to it.

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It's not the tools themselves
that are going to make the

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difference.

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It's how humans are able to use
them and actually how humans

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are able to continue developing
them.

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And that's what we've been
talking about in the first two

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parts of of this mini series,
and we've been spotlighting the

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role of human AI coaches.

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When we train people to become
human AI coaches, we call it

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becoming a certified hand
mechanic AI edge coach and this

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I think that that profession
will become the most important

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profession for our species, if
it isn't already, and hopefully

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what you've seen in the last two
parts is that, although

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cognitive performance might
sound a little bit intangible,

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what human AI coaches do is very
tangible, is very impactful.

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Tangible is very impactful and
is vital if individuals and

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organizations want to become
successful.

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And in part three we can kind
of zoom out a little bit here

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and think about this at an
organizational level.

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The chapter I'm going to share
with you is called, so it's

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chapter 28, and it's
understanding brain states at

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scale, creating brain state
intelligent cultures.

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There's a few things I want to
get into here.

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First of all, big, compelling
sets of data show that 74% of

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companies are failing I'm just
reading this out are failing to

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extract meaningful value from
their ai investments, and new

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research from um, bcg and the
world economic forum shows the

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the primary reason for that
failure is not the technology,

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it's people.

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That is the barrier and it's
not people's fault.

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It's just that people are
mentally fatigued and they're

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cognitively overloaded.

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So we're not going to get the
growth in our economies that we

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desperately need if we want to
have the countries that we want,

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that we want to have and the
schools and the education

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systems and get the pay rises
that we want if our businesses

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can't grow and the main thing
that's currently holding

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businesses back from growing is
that they're not able to

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capitalise on this new AI
technology because people are,

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frankly, burnt out, they're
tired, they're fatigued, they're

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overloaded, and the way that we
can just break that down into

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simple terms is that people's
brain states balance is not good

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.

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They're not doing enough
recharge, they're sucked into

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too much medium charge.

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That means they can't get into
high chargecharge brain states.

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So if businesses want to
succeed, they're going to have

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to help their people to improve
their cognitive performance,

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improve how they manage brain
states, and that means they have

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to address this at the cultural
level.

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And I know that word culture can
sometimes feel intangible, and

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for me, understanding language
is always easiest when we go

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back to the genesis of things
like what?

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Where does that word come from?

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Well, culture just is from the
word cultivate, which is a latin

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word which is to do with
agriculture.

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Right, it's to do with farming
and cultivating the land so you

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can grow your crops, and the
that word has been borrowed into

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hr or human performance fields
to explain the culture in a, an

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organization and a team in a
particular group of people.

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So the culture should cultivate
the behaviors that are most

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helpful for that group of people
.

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And the way that I think about
this is that, if we just take a

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business, for example, think of
it like a farm and we've got

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these people on our farm and
we're trying to grow them and

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we're trying just because it
creates a really vivid visual

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we're trying to grow them and
we're trying to help them to

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flourish, we're trying to
nourish them and nurture them to

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be able to do that.

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But actually, if we want to get
this right, we need to go a

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level deeper.

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It's not the people that are
actually trying to grow, it's

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our habits, because habits drive
what we think and what we do.

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So think about on the farm.

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We've got these habits that are
planted in the soil and the

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culture the sun, the rain, the
weather conditions, the soil

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type, the treatments that we
apply to the crop, if you like,

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the crop of habits.

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That's what a culture does.

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So if cultures are toxic, you
know they're killing the habits

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and actually they're nurturing
the wrong behaviours, the wrong

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habits.

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So I think that's just a really
simple way to think about what

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a culture is.

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So If we then think about the
language of this chapter, which

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is very deliberate understanding
brain states at scale, creating

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brain state intelligent
cultures.

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What does that mean?

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It means that we create
cultures that help everybody to

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understand their brain states,
to become more intelligent about

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them.

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So, those who are familiar with
the Habit Mechanic book, we

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talk about habit mechanic
intelligence and, if we were

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going to go a step deeper than
that, actually everything in the

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habit mechanic approach is
built on brain state

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intelligence.

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So, first, understanding how
our brain works and then

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understanding that it's
literally like a battery and it

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has these three core operating
states and I think, the

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businesses of the future that
that succeed, that offer great

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places to work, where people are
engaged and they're healthy and

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they're happy and they're doing
great work and there's a great

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mutual relationship between uh,
the individual, the people and

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the organization where
everyone's winning that they

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will primarily focus on creating
cultures that optimize brain

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state intelligence, so people
understand brain state

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intelligence individually and
collectively.

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And then there are experts in
the organization.

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There are human AI coaches at
the individual level, but there

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are also human AI trainers who
are training up teams.

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There are human AI consultants
who are working at a strategic

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level, and they're all, of
course, things that we do and we

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train other people to do.

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And I think that a really
interesting parallel of where

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human ai sorry, brain state
intelligence cultures fit is how

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Six Sigma or Lean Sigma 6
operated, probably 20, 30 years

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ago, where it emerged in the
manufacturing sectors, where

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essentially what happened was
that having fancy manufacturing

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machines weren't a competitive
advantage anymore if we wanted

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to delight our customers.

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What we had to do is make not
just make products more cheaply

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using these big fancy machines,
but we had to do it really

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efficiently and effectively.

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And where lean sigma 6 came in
was it created some efficient

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and effective processes of
making sure that businesses

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could create products that
delighted their customers faster

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.

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And of course, a company like
toyota was a good example of

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that.

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They just created these
products at a good price.

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That people wanted cars that
didn't really break down.

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They were known to be reliable
because they had this great

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Sigma 6 type process, which I
think they called something a

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little bit different.

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And then we had people like
Jack Welsh, the famous CEO of GE

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, being a real champion of that.

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One of the reasons why 6 Sigma
was so interesting was because

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they had this very structured
training program throughout

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organizations where they had
this belt system.

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So, like learning martial arts,
you would progress in your

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skills and your understanding
through this gradation system,

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and that's exactly what we've
created for our Habit Mechanic

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AI Edge model, where we can
grade people.

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We can give people different
belts for different levels of

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competency, because we
understand that if businesses

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want to make this really
successful, they need to

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properly invest the time and
money into upskilling their

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people in this.

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It can't be piecemeal, it needs
to be robust.

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And if we just go back to those
so the 74% of businesses are

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failing to capitalize on the
benefits of AI.

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The few that businesses that are
where are they investing all

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their money?

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It's not in the tech, it's in
their people.

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They're.

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They're investing at least
two-thirds of the of their AI

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focused investments into people.

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The reason those companies are
doing well is because actually,

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they're more tech-orientated
companies and they've been using

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AI, as everyone is currently
calling it, in one way or

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another for probably over 15
years now on average.

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So they've had a lot longer to
develop workforces that have the

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time to really understand how
to get the most out of these

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tools and systems, whereas the
ones that are, I think, the

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businesses that are failing.

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They're thinking the AI tools
are magical in themselves and

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they're not the people need to
be able to use them.

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So, yeah, so I think that brain
state intelligent cultures are

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going to be the cultures that
win, that create workplaces

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where people are healthy, happy,
engaged and businesses that are

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successful, and I think that
human ai coaches will be central

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to making that happen inside
organizations, but we'll also

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have human AI trainers and
people working at a more

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strategic level and, of course,
we train people to do all of

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those things, and you can do it
in a really structured way by

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following our belt system.

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But I think enough of that, so
let's go to the chapter.

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So, again, this is chapter 28,
and remember, you can, if you

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want to listen to this in the
full context of train your brain

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for the AI revolution our new
book.

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If you want to listen to this
in the full context of Train

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your Brain for the AI Revolution
our new book, you can do that

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inside the Hampton Mechanic
University app and you can also

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listen to the audiobook on most
mainstream audiobook platforms

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right now.

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So here's the chapter, chapter
28.

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Understanding Brain States at
Scale Creating Brain State

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Intelligent Cultures.

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As we conclude our exploration
of brain states and AI

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integration, let's step back and
examine a transformative

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opportunity that few
organizations have yet

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recognized.

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Throughout this book, we've
focused on optimizing your

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individual cognitive performance
.

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In doing so, we've revealed
something profound about

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happiness in the AI era.

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It's not just about using
technology to get more done.

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It's about using it
strategically to create the

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right mix of recharge routine
work and high impact, high value

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work that allows you to do your
job and live your life in a way

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that leads to lasting
satisfaction.

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Now let's understand how these
same principles can

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revolutionise entire
organisations by unleashing

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healthy, happy and
high-performing workforces.

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As artificial intelligence
transforms business, a powerful

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opportunity is emerging.

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Organisations can dramatically
improve performance by aligning

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work patterns with how human
brains naturally function.

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This quickly creates measurable
improvements by helping teams

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to complete key projects over
200% faster.

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This is only possible when
organizations optimize how their

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people perform alongside
powerful AI tools.

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This optimization comes through
creating what we call brain

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state intelligent cultures,
which is our Six Sigma for human

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performance in the AI era.

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But to successfully create
these winning cultures, we need

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to first consider the barriers,
the current state of play.

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Ai is transforming business at
an unprecedented pace.

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According to the World Economic
Forum's recent Future of Jobs

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report, 86% of companies expect
AI to revolutionise their

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operations.

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Yet this transformation brings
serious challenges.

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Successful AI adoption isn't
just about deploying new

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technology.

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It requires a fundamental shift
in how humans and AI

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collaborate.

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Many organisations
underestimate the cognitive toll

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this shift takes on their
workforce.

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The cognitive demands of rapid
technological change and our

243
00:16:14,601 --> 00:16:19,450
increasingly volatile, uncertain
, complex and ambiguous world

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00:16:19,855 --> 00:16:23,443
are pushing employees to their
cognitive limits, leading to a

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00:16:23,504 --> 00:16:25,187
cascade of business risks.

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00:16:25,187 --> 00:16:30,066
Employee engagement nosedives
under relentless cognitive

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00:16:30,105 --> 00:16:30,407
strain.

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00:16:30,407 --> 00:16:35,803
Mental fatigue surges as
workers struggle to keep up with

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constant technological change.

250
00:16:37,749 --> 00:16:42,488
Learning capacity collapses
under information overload,

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00:16:43,048 --> 00:16:44,452
stalling critical projects.

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00:16:44,452 --> 00:16:51,145
Team effectiveness deteriorates
as digital overload fragments

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communication and collaboration.

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00:16:53,409 --> 00:16:58,663
Innovation grinds to a halt
when employees can't maintain

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00:16:59,164 --> 00:17:01,149
deep, focused thinking.

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00:17:01,149 --> 00:17:06,143
Workplace wellbeing suffers,
driving higher staff turnover

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00:17:06,743 --> 00:17:09,229
and making it harder to retain
top talent.

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00:17:09,229 --> 00:17:14,619
Staff turnover and making it
harder to retain top talent.

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00:17:14,619 --> 00:17:16,183
If businesses fail to address
these cognitive challenges, the

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00:17:16,203 --> 00:17:19,453
consequences will be severe
Declining productivity, stalled

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00:17:19,493 --> 00:17:22,439
innovation and an exodus of
skilled employees.

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00:17:23,339 --> 00:17:26,424
The future of work isn't just
about adopting AI.

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00:17:26,424 --> 00:17:31,412
It's about ensuring humans can
thrive alongside it.

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00:17:31,412 --> 00:17:36,481
These challenges become
particularly acute during major

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00:17:36,662 --> 00:17:38,306
organisational transformations.

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00:17:38,306 --> 00:17:42,162
As an example of the
difficulties businesses face

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00:17:42,241 --> 00:17:45,857
during major transitions, let's
consider mergers and

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00:17:45,897 --> 00:17:46,538
acquisitions.

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00:17:46,538 --> 00:17:53,256
Companies spend more than $2
trillion annually on M&A deals,

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00:17:53,276 --> 00:17:57,583
yet 70 to 90% fail to meet
expectations.

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00:17:57,583 --> 00:18:02,096
While traditional analysis
blames factors like poor

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00:18:02,256 --> 00:18:06,143
strategic fit or incorrect
valuations, a deeper truth

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00:18:06,222 --> 00:18:11,791
emerges Combining cultures,
systems and AI technologies

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00:18:12,232 --> 00:18:16,760
creates overwhelming cognitive
demands that most organisations

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00:18:17,221 --> 00:18:18,304
aren't equipped to handle.

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00:18:18,304 --> 00:18:23,618
Without optimising brain states
, even the most strategically

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00:18:23,679 --> 00:18:28,244
sound transformations can fail
as people struggle to maintain

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00:18:28,505 --> 00:18:32,750
the focused thinking needed to
implement complex change.

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00:18:34,458 --> 00:18:37,086
These observations aren't just
theoretical.

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00:18:37,086 --> 00:18:42,546
They're built on my 25 years of
developing a fundamentally

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00:18:42,625 --> 00:18:47,040
different approach to helping
individuals, teams and leaders

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00:18:47,582 --> 00:18:50,867
optimise their cognitive
performance during challenging

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00:18:50,907 --> 00:18:51,549
transitions.

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00:18:51,549 --> 00:18:56,963
Through working with over
20,000 people and completing my

285
00:18:57,044 --> 00:19:00,957
PhD in this area, I've seen
these challenges firsthand.

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00:19:00,957 --> 00:19:05,162
But I've also seen something
else when organisations

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00:19:05,682 --> 00:19:10,127
understand how to optimise brain
states, extraordinary

288
00:19:10,208 --> 00:19:15,098
transformations become possible
the power of first principles

289
00:19:15,118 --> 00:19:18,145
thinking To appreciate what's
possible.

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00:19:18,787 --> 00:19:22,820
Consider how sports science
transformed physical athletic

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00:19:22,842 --> 00:19:25,487
performance 25 years ago.

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00:19:25,487 --> 00:19:30,061
I worked on the front lines of
this revolution, watching as

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00:19:30,142 --> 00:19:35,000
teams abandoned traditional
training approaches in favour of

294
00:19:35,000 --> 00:19:38,509
methods based on how the human
body actually functions.

295
00:19:38,509 --> 00:19:42,098
The transformation wasn't about
working harder.

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00:19:42,098 --> 00:19:46,749
It was about aligning training
with the body's fundamental

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00:19:46,835 --> 00:19:47,277
mechanics.

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00:19:47,277 --> 00:19:52,432
Today we face a similar
opportunity with cognitive

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00:19:52,473 --> 00:19:55,223
performance through brain state
optimisation.

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00:19:55,223 --> 00:20:00,267
As I've shown throughout this
book, over the past 25 years

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00:20:00,837 --> 00:20:04,659
we've developed a deep,
proprietary understanding of how

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00:20:04,659 --> 00:20:08,519
to translate cutting-edge
insights from neuroscience and

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00:20:08,538 --> 00:20:12,096
behavioural science into
practical organizational change.

304
00:20:12,096 --> 00:20:17,590
Just as sports scientists
created systems that teams could

305
00:20:17,590 --> 00:20:20,698
implement in their daily
training, we've developed

306
00:20:20,758 --> 00:20:24,905
methodologies that help
businesses seamlessly integrate

307
00:20:25,267 --> 00:20:27,980
brain science into their daily
practices.

308
00:20:27,980 --> 00:20:33,297
This systematic approach allows
organizations to create

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00:20:33,357 --> 00:20:37,987
cultures where optimal cognitive
performance becomes natural

310
00:20:38,287 --> 00:20:39,169
rather than forced.

311
00:20:39,169 --> 00:20:43,424
And just as sports science
created a new standard for

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00:20:43,505 --> 00:20:47,678
athletic excellence, this
integration of human cognitive

313
00:20:47,838 --> 00:20:52,402
optimization with technological
capability creates something

314
00:20:52,603 --> 00:20:57,039
unprecedented in organisational
performance what we call

315
00:20:57,641 --> 00:20:59,707
brain-state intelligent cultures
.

316
00:20:59,707 --> 00:21:03,044
The result isn't just better
performance.

317
00:21:03,044 --> 00:21:07,784
It's the kind of environment
where both people and technology

318
00:21:07,784 --> 00:21:13,463
can work together at their best
the Holy Grail Brain state

319
00:21:13,545 --> 00:21:14,494
intelligent cultures.

320
00:21:14,494 --> 00:21:18,752
I believe that teams and
organisations that create these

321
00:21:18,813 --> 00:21:23,839
cultures will thrive in the AI
era, and therefore creating one

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00:21:24,260 --> 00:21:26,747
should be every business's
number one goal.

323
00:21:26,747 --> 00:21:31,949
In these environments,
technology enhances rather than

324
00:21:32,049 --> 00:21:36,259
overwhelms human capabilities,
and sustainable high performance

325
00:21:36,259 --> 00:21:40,909
emerges from aligning work with
how brains actually function.

326
00:21:42,255 --> 00:21:45,961
A brain state intelligent
culture transforms performance

327
00:21:46,101 --> 00:21:50,386
across every level of your
organisation, from young

328
00:21:50,426 --> 00:21:54,838
professionals to middle managers
, senior leaders to teams.

329
00:21:54,838 --> 00:21:58,767
Every group gains unique
benefits from optimising their

330
00:21:58,807 --> 00:21:59,469
brain states.

331
00:21:59,469 --> 00:22:04,026
Let's explore the specific
advantages for each Young

332
00:22:04,066 --> 00:22:09,278
professionals become productive
revenue drivers faster by

333
00:22:09,378 --> 00:22:14,828
mastering complex skills and AI
tools in months instead of years

334
00:22:14,828 --> 00:22:14,828
.

335
00:22:14,828 --> 00:22:20,564
Build long-term, sustainable
high performance by managing

336
00:22:20,663 --> 00:22:23,628
stress effectively, increasing
their impact.

337
00:22:23,628 --> 00:22:28,962
Stay engaged and grow within
the company, improving retention

338
00:22:28,962 --> 00:22:31,826
and maximising long-term
potential.

339
00:22:31,826 --> 00:22:38,040
Middle managers Drive faster AI
adoption and ROI by confidently

340
00:22:38,040 --> 00:22:42,067
leading change and turning
resistance into measurable

341
00:22:42,188 --> 00:22:43,190
productivity gains.

342
00:22:43,190 --> 00:22:47,101
Deliver on strategic
initiatives while maintaining

343
00:22:47,161 --> 00:22:50,567
team performance, balancing
competing demands without

344
00:22:50,587 --> 00:22:51,028
burnout.

345
00:22:51,028 --> 00:22:56,663
Create high-performing teams
that consistently hit targets by

346
00:22:56,663 --> 00:23:00,630
optimising both personal and
collective productivity.

347
00:23:00,630 --> 00:23:06,219
Senior leaders Make sharper
strategic decisions for

348
00:23:06,279 --> 00:23:09,727
longer-using, science-backed
strategies from elite athletes

349
00:23:15,182 --> 00:23:17,753
maintaining peak cognitive
function throughout their

350
00:23:17,773 --> 00:23:17,934
careers.

351
00:23:17,934 --> 00:23:22,080
Drive successful AI
transformation by mastering the

352
00:23:22,101 --> 00:23:24,614
human factors that accelerate
adoption and maximise ROI.

353
00:23:24,614 --> 00:23:31,002
Create lasting cultural change
that turns resistance into

354
00:23:31,063 --> 00:23:35,750
enthusiasm, fostering sustained
high performance across the

355
00:23:35,789 --> 00:23:36,471
organisation.

356
00:23:36,471 --> 00:23:44,184
Teams Deliver complex projects
over 200% faster by optimising

357
00:23:44,605 --> 00:23:47,750
collective brain function for
breakthrough performance.

358
00:23:52,515 --> 00:23:53,577
Brain function for breakthrough
performance.

359
00:23:53,577 --> 00:23:54,680
Maintain peak productivity
during AI transformation by

360
00:23:54,720 --> 00:23:56,263
aligning work patterns with
natural energy cycles,

361
00:23:56,846 --> 00:23:58,671
preventing costly burnout.

362
00:23:58,671 --> 00:24:03,582
Drive faster innovation and
problem solving by enabling

363
00:24:03,682 --> 00:24:07,478
seamless collaboration across
generations and skill levels.

364
00:24:07,478 --> 00:24:12,698
These individual and team
improvements combine to create

365
00:24:12,778 --> 00:24:18,041
powerful organisational outcomes
reduce burnout, lower staff

366
00:24:18,083 --> 00:24:22,758
turnover, enhanced innovation,
better talent retention and

367
00:24:22,798 --> 00:24:24,384
improved customer solutions.

368
00:24:24,384 --> 00:24:29,519
Most importantly, they create
environments where people

369
00:24:29,680 --> 00:24:33,640
genuinely want to stay and grow
because they can consistently

370
00:24:33,700 --> 00:24:37,087
perform at their best without
sacrificing well-being.

371
00:24:37,087 --> 00:24:40,684
This creates a powerful
competitive advantage.

372
00:24:40,684 --> 00:24:44,784
But achieving this
transformation isn't a matter of

373
00:24:44,784 --> 00:24:45,184
chance.

374
00:24:45,184 --> 00:24:49,924
It requires a systematic
understanding of how lasting

375
00:24:49,984 --> 00:24:51,929
change happens in organisations.

376
00:24:53,615 --> 00:24:58,299
The nine essential elements Just
as Six Sigma transformed

377
00:24:58,420 --> 00:25:02,067
manufacturing and quality
management in the industrial era

378
00:25:02,067 --> 00:25:06,605
, brain state intelligence will
revolutionise human performance

379
00:25:06,825 --> 00:25:07,666
in the AI era.

380
00:25:07,666 --> 00:25:13,007
While Six Sigma optimised
production processes, our nine

381
00:25:13,596 --> 00:25:17,943
interconnected factors optimise
something even more fundamental

382
00:25:18,746 --> 00:25:22,480
how human brains function
alongside AI technology.

383
00:25:22,480 --> 00:25:27,073
Creating this brain state
transformation requires

384
00:25:27,133 --> 00:25:31,073
understanding these nine factors
that behavioural science shows

385
00:25:31,133 --> 00:25:32,679
drive sustainable change.

386
00:25:32,679 --> 00:25:35,888
These factors work together
like an orchestra.

387
00:25:35,888 --> 00:25:40,760
Each instrument matters, but
the real magic happens when they

388
00:25:40,760 --> 00:25:41,762
play in harmony.

389
00:25:41,762 --> 00:25:45,777
Here are the nine factors from
our proprietary system.

390
00:25:45,777 --> 00:25:49,104
I first introduced these in
chapter 23.

391
00:25:50,567 --> 00:25:50,666
1.

392
00:25:50,666 --> 00:25:55,676
Brain State Optimization
Creating Environments when

393
00:25:55,717 --> 00:25:59,201
People Can Maintain Optimal
Cognitive States.

394
00:25:59,201 --> 00:26:00,585
2.

395
00:26:00,585 --> 00:26:06,178
Habit Mechanic Mindset–
Cultivating Belief in Continuous

396
00:26:06,178 --> 00:26:06,798
Improvement.

397
00:26:06,798 --> 00:26:08,682
3.

398
00:26:08,682 --> 00:26:13,529
Tiny change factor making
transformation manageable.

399
00:26:13,529 --> 00:26:15,175
4.

400
00:26:15,175 --> 00:26:20,926
Personal motivation connecting
small changes to bigger personal

401
00:26:20,926 --> 00:26:22,269
and professional goals.

402
00:26:22,269 --> 00:26:24,057
5.

403
00:26:24,057 --> 00:26:28,932
Personal knowledge and skills
building individual capabilities

404
00:26:28,932 --> 00:26:28,932
.

405
00:26:28,932 --> 00:26:31,138
Personal knowledge and skills
Building individual capabilities

406
00:26:31,138 --> 00:26:31,138
.

407
00:26:31,138 --> 00:26:31,559
6.

408
00:26:31,559 --> 00:26:36,976
Community knowledge Developing
shared practices.

409
00:26:36,976 --> 00:26:37,376
7.

410
00:26:37,376 --> 00:26:41,480
Social influence Leveraging
natural behaviour spread.

411
00:26:41,480 --> 00:26:42,721
8.

412
00:26:42,721 --> 00:26:47,724
Rewards and penalties Aligning
incentive systems with desired

413
00:26:47,765 --> 00:26:48,305
behaviours.

414
00:26:48,305 --> 00:26:50,086
9.

415
00:26:50,086 --> 00:26:54,750
External triggers Designing
supportive environments that

416
00:26:54,789 --> 00:26:56,912
remind people how to be their
best.

417
00:27:01,683 --> 00:27:02,669
Building systematic change.

418
00:27:02,669 --> 00:27:04,701
Creating a brain state
intelligent culture requires

419
00:27:04,721 --> 00:27:08,358
careful integration of all nine
factors into daily

420
00:27:08,519 --> 00:27:09,784
organisational practices.

421
00:27:09,784 --> 00:27:13,840
This isn't about implementing
isolated initiatives.

422
00:27:13,840 --> 00:27:18,698
It's about building reinforcing
cycles where each improvement

423
00:27:18,999 --> 00:27:19,961
strengthens the others.

424
00:27:19,961 --> 00:27:24,982
Organisations that master this
systematic approach will achieve

425
00:27:24,982 --> 00:27:29,000
breakthrough results, just as
Six Sigma became the gold

426
00:27:29,040 --> 00:27:31,406
standard for manufacturing
excellence.

427
00:27:33,016 --> 00:27:36,843
Looking forward, the AI
revolution presents every

428
00:27:36,903 --> 00:27:40,676
organisation with a choice
Optimise how your people work

429
00:27:40,758 --> 00:27:44,810
alongside these powerful tools
or risk falling behind those who

430
00:27:44,810 --> 00:27:45,031
do.

431
00:27:45,031 --> 00:27:49,203
Leading organisations are
already building brain state

432
00:27:49,243 --> 00:27:52,597
intelligent cultures, setting
new standards for what's

433
00:27:52,657 --> 00:27:56,747
possible when human potential
and technological capability

434
00:27:57,086 --> 00:27:57,969
work in harmony.

435
00:27:57,969 --> 00:28:03,145
The question isn't whether your
organisation will need to make

436
00:28:03,165 --> 00:28:03,867
this transition.

437
00:28:03,867 --> 00:28:08,962
The question is will you be
among the pioneers who lead this

438
00:28:08,962 --> 00:28:13,657
change and create an
insurmountable lead, or will you

439
00:28:13,657 --> 00:28:14,500
get left behind?

440
00:28:14,500 --> 00:28:16,163
I hope you.

441
00:28:16,364 --> 00:28:23,239
I hope you found the chapter and
the the mini series on how to

442
00:28:23,278 --> 00:28:26,321
become a human ai coach
interesting and hopefully

443
00:28:26,362 --> 00:28:27,103
inspirational.

444
00:28:27,103 --> 00:28:33,568
I know the idea of becoming a
coach is very attractive to many

445
00:28:33,568 --> 00:28:36,711
people, but for different
reasons, people don't go there

446
00:28:36,751 --> 00:28:36,971
with it.

447
00:28:36,971 --> 00:28:46,843
But I just think that the AI
revolution represents a

448
00:28:46,863 --> 00:28:50,630
particularly interesting point
in history where there's going

449
00:28:50,650 --> 00:28:55,378
to be a bigger demand than
possibly any other time in

450
00:28:55,419 --> 00:29:00,788
history for not just coaches,
but people that can help others

451
00:29:00,847 --> 00:29:03,319
to optimize their cognitive
performance, in other words, a

452
00:29:03,359 --> 00:29:05,346
human ai becoming a human ai
coach.

453
00:29:05,346 --> 00:29:10,240
So if you are interested in
training to become a human,

454
00:29:10,862 --> 00:29:12,605
human ai coach, get in touch.

455
00:29:12,605 --> 00:29:13,756
We can help you to do that.

456
00:29:13,756 --> 00:29:17,444
If you're interested in what
this might look like in your

457
00:29:17,484 --> 00:29:18,768
business, get in touch.

458
00:29:18,768 --> 00:29:20,239
We can have a conversation
about that.

459
00:29:20,239 --> 00:29:25,394
And then, of course, we will
continue to talk about train

460
00:29:25,413 --> 00:29:28,320
your brain for the ai revolution
and everything connected to

461
00:29:28,361 --> 00:29:30,847
that in coming podcasts.

462
00:29:33,736 --> 00:29:35,743
This period of history is
nothing to be scared about.

463
00:29:35,743 --> 00:29:42,076
The key always is is to control
the controllables, and the

464
00:29:42,115 --> 00:29:45,365
thing that we can all control is
getting better at managing our

465
00:29:45,424 --> 00:29:46,247
own brain states.

466
00:29:46,247 --> 00:29:48,579
And if it's appealing to you
and you like that, you can also

467
00:29:48,599 --> 00:29:50,047
start to practice helping others
to get better at managing their

468
00:29:50,047 --> 00:29:50,307
brain states.

469
00:29:50,307 --> 00:29:51,613
And if it's appealing to you
and you like that, you can also

470
00:29:51,634 --> 00:29:54,039
start to practice helping others
to get better at managing their

471
00:29:54,039 --> 00:29:57,518
brain states, and you can build
a thriving business out of that

472
00:29:57,518 --> 00:30:00,811
, or you can just help others in
the business that you're

473
00:30:00,832 --> 00:30:03,919
currently working to improve
their their cognitive

474
00:30:03,960 --> 00:30:04,480
performance.

475
00:30:04,480 --> 00:30:07,286
So that's all from me for now.

476
00:30:07,286 --> 00:30:11,781
If you're like me, you'll
probably re-listen to the three

477
00:30:11,821 --> 00:30:13,836
episodes, because that's what I
like to do, just to make sure

478
00:30:13,856 --> 00:30:15,902
that I'm absorbing everything.

479
00:30:15,902 --> 00:30:21,805
But again, remember, if you
want to listen to the full book

480
00:30:22,134 --> 00:30:24,576
Train your Brain for the AI
Revolution, you can do that for

481
00:30:24,616 --> 00:30:28,895
free inside the Hammond Mechanic
University app and it's

482
00:30:28,935 --> 00:30:32,728
available on most mainstream
audiobook platforms.

483
00:30:32,728 --> 00:30:34,753
Enjoy the rest of your day.