AI isn’t just a buzzword to these housing executives
Are
you
intrigued
by
AI
or
tired
of
hearing
about
it?
At
the
recent
ICE
experience
conference,
I
talked
to
a
lot
of
mortgage
lenders
and
tech
folks
about
what’s
making
a
difference
in
their
businesses.
Many
were
excited
about
the
current
or
potential
use
cases
for
artificial
intelligence,
while
others
were
a
bit
more
jaded.
Will
AI
turn
out
to
be
just
the
latest
buzzword,
akin
to
blockchain
and
cloud
computing
in
years
past?
I’ve
interviewed
more
than
25
tech
executives
since
September
for
HousingWire’s
HousingStack
newsletter
and
to
a
person
they
are
bullish
on
AI.
Many
of
these
executives
are
already
seeing
efficiencies
and
real
gains
from
AI.
Others
are
in
the
process
of
leveraging
it
for
bigger
projects
and
better
ROI.
Below
are
excerpts
that
show
how
some
of
those
executives
are
using
AI.
You
can
find
every
interview
here.
I
think
if
you
want
to
innovate,
you
need
to
be
able
to
think
long-term.
I
don’t
think
anyone’s
ever
innovated
in
the
short-term.
So
you
need
to
be
able
to
have
the
appetite
for
that:
be
willing
to
take
the
risks
and
be
willing
to
be
patient
for
quite
some
time.
And
I
think
AI
is
one
of
those
things.
You
can
do
some
fun,
cool
stuff
with
it
very
quickly,
but
then
if
you
want
to
start
doing
meaningful
things,
it’s
a
big
long-term
investment,
at
least
today.
Chad
Roffers,
Concierge
Auctions
CEO:
We’re
in
an
environment
that
is hyper-competitive.
In
the
past,
industries
would
drive
technological
change
—
a
consumer
didn’t
realize
they
needed
something
until
industry
built
it.
But
now,
especially
in
real
estate,
the
consumer
is
pulling
the
industry
along.
The
consumers
want
the
benefits
of
tech
they
have
in
other
aspects
of
their
lives
and
they
are
the
ones
demanding
tech
innovations.
The
people
and
companies
in
the
real
estate
industry
who
are
recognizing
that
and
accepting
it
and
getting
on
with
it
rather
that
working
like
they
did
10
years
ago
are
the
people
who
are
winning.
Paul
Hurst,
First
American
Chief
Innovation
Officer:
Lots
of
people
talk
about
AI
in
real
estate
as:
how
do
we
reduce
the
number
of
FTEs
at
our
company?
I
think
that’s
kind
of
a
minimalist
way
of
looking
at
things.
I
like
to
think
about
how
much
more
business
each
of
our
people
could
be
doing
if
they
are
able
to
focus
on
the
human
elements
of
a
transaction.
How
do
you
enable
these
super-powered
humans
to
do
more
transactions
and
make
more
money
in
the
process?
We’re
dealing
with
data
lakes
and
data
warehouses,
and
just
massive
amounts
of
data
from
a
variety
of
different
systems
of
record.
So
we’re
interested
in
any
tools
that
can
help
dig
through
that
data
and
speed
the
audit
process.
And
then
also
looking
at
component
size
audits.
For
example,
folks
will
say,
‘Hey,
we’re
currently
testing
10%
of
the
loans
that
we
do,
and
we
want
to
do
a
full
audit
on
these
10%,
but
we
want
to
do
a
partial
audit
on
the
other
90%.’
So
how
do
we
have
the
tools
to
do
that
audit
really
rapidly
and
have
it
be
lightweight
for
them?
I
think
a
lot
of
people
are
jumping
into
AI
without
being
prepared
for
it.
It
reminds
me
of
the
early
days
of
cloud
computing,
and
how
everybody
jumped
on
it.
But
then
all
they
did
was
ship
their
data
centers
to
the
cloud,
and
that
was
very,
very
expensive.
People
realized
that
to
actually
use
their
own
computing,
you
have
to
transform
your
platform
architecture.
And
that
journey
took
years
for
people
—
in
places
maybe
10
years.
What
we’re
doing
today
with
AI
is
more
horizonal
than
industry
specific.
We’re
using
OpenAI
to
do
a
basic
first
round
of
triage
and
false
positive
detection
on
the
stream
of
low
level
security
events
that
we
get,
which
we
set
up
for
SOC
2
compliance.
It’s
a
noisy
stream
and
we
want
to
focus
on
higher-value
things.
A
close
cousin
to
that
is
the
vulnerability
scans
we’re
constantly
doing,
going
through
chatGPT,
a
classification
and
resolution
recommendation
that
will
get
slacked
to
the
right
person
for
more
efficiency.
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