Latest / Omni Talk Retail / Accenture on AI, GLP-1s, and the Future of Grocery Retail | FMI 2026

Transcript

Accenture on AI, GLP-1s, and the Future of Grocery Retail | FMI 2026 · Omni Talk Retail

• 0:00
  Hello,
• 0:01
  welcome
• 0:01
  back
• 0:01
  to
• 0:02
  FMI.
• 0:03
  This
• 0:03
  is
• 0:03
  OmniTalk
• 0:04
  Retail.
• 0:04
  I'm
• 0:04
  Anne
• 0:05
  Mazenga.
• 0:05
  And
• 0:05
  I'm
• 0:06
  Chris
• 0:06
  Walton.
• 0:06
  And
• 0:06
  we're
• 0:07
  coming
• 0:07
  to
• 0:07
  you
• 0:07
  live
• 0:08
  from
• 0:08
  the
• 0:08
  simbi
• 0:08
  booth,
• 0:09
  number
• 0:09
  118
• 0:10
  here
• 0:10
  in
• 0:10
  the
• 0:10
  FMI
• 0:11
  tech
• 0:11
  section.
• 0:12
  I
• 0:12
  want
• 0:12
  to
• 0:12
  give
• 0:12
  a
• 0:12
  big
• 0:13
  shout
• 0:13
  out
• 0:13
  to
• 0:13
  Simbi
• 0:14
  first
• 0:14
  off
• 0:14
  for
• 0:15
  helping
• 0:15
  us
• 0:15
  bring
• 0:15
  you
• 0:16
  all
• 0:16
  of
• 0:16
  our
• 0:16
  interviews
• 0:17
  from
• 0:17
  the
• 0:17
  show
• 0:17
  here
• 0:18
  at
• 0:18
  fmi
• 0:19
  and
• 0:19
  our
• 0:20
  next
• 0:20
  guest
• 0:20
  that
• 0:21
  we
• 0:21
  have
• 0:21
  joining
• 0:22
  us
• 0:22
  back
• 0:22
  on
• 0:23
  the
• 0:23
  show
• 0:24
  for
• 0:24
  FMI
• 0:24
  number
• 0:25
  two,
• 0:25
  we
• 0:26
  have
• 0:26
  Karen
• 0:26
  Fang
• 0:26
  Grant
• 0:27
  Kyle.
• 0:27
  Karen
• 0:27
  is
• 0:27
  the
• 0:28
  managing
• 0:28
  director
• 0:28
  and
• 0:28
  Global
• 0:29
  Research
• 0:30
  lead
• 0:30
  at
• 0:30
  Accenture.
• 0:31
  Karen,
• 0:31
  welcome
• 0:32
  back.
• 0:32
  Thanks
• 0:32
  for
• 0:32
  joining
• 0:33
  us
• 0:33
  again.
• 0:33
  Thank
• 0:33
  you
• 0:33
  for
• 0:33
  having
• 0:33
  me.
• 0:34
  Yeah,
• 0:34
  we're
• 0:34
  excited
• 0:34
  to
• 0:35
  talk
• 0:35
  to
• 0:35
  you.
• 0:35
  Yeah.
• 0:36
  Karen,
• 0:36
  when
• 0:36
  I
• 0:36
  reached
• 0:36
  out
• 0:36
  to
• 0:36
  you,
• 0:36
  I
• 0:37
  remember
• 0:37
  saying
• 0:37
  to
• 0:37
  you,
• 0:37
  I
• 0:37
  was
• 0:37
  like,
• 0:38
  you
• 0:38
  were
• 0:38
  one
• 0:38
  of
• 0:38
  my
• 0:38
  favorite
• 0:38
  conversations
• 0:39
  from
• 0:39
  last
• 0:39
  year.
• 0:40
  I
• 0:40
  feel
• 0:40
  like
• 0:40
  I
• 0:40
  learned
• 0:41
  so
• 0:41
  much
• 0:41
  from
• 0:41
  you
• 0:41
  in
• 0:42
  terms
• 0:42
  of
• 0:42
  how
• 0:42
  you
• 0:42
  approach
• 0:43
  the
• 0:43
  business
• 0:43
  and
• 0:44
  the
• 0:44
  insights
• 0:44
  for
• 0:44
  the
• 0:44
  industry.
• 0:45
  So
• 0:45
  I
• 0:46
  was
• 0:46
  kind
• 0:46
  of
• 0:46
  thinking
• 0:46
  maybe
• 0:46
  it'd
• 0:47
  be
• 0:47
  good
• 0:47
  to
• 0:47
  start
• 0:47
  off
• 0:47
  with
• 0:47
  like
• 0:48
  having
• 0:48
  you
• 0:48
  talk
• 0:49
  through
• 0:49
  some
• 0:49
  of
• 0:49
  the
• 0:49
  trends
• 0:50
  you're
• 0:50
  seeing
• 0:50
  or
• 0:50
  that
• 0:50
  we're
• 0:50
  seeing
• 0:51
  and
• 0:51
  have
• 0:51
  you
• 0:51
  read
• 0:51
  and
• 0:52
  react
• 0:52
  to
• 0:52
  them
• 0:52
  too.
• 0:52
  So
• 0:53
  the
• 0:53
  first
• 0:53
  one
• 0:53
  top
• 0:54
  of
• 0:54
  mind
• 0:54
  for
• 0:54
  me
• 0:54
  is
• 0:54
  GLP1s.
• 0:56
  Like
• 0:57
  how
• 0:57
  big
• 0:57
  is
• 0:57
  that?
• 0:58
  What
• 0:58
  are
• 0:58
  you
• 0:58
  seeing?
• 0:59
  How
• 0:59
  are
• 0:59
  you
• 0:59
  seeing
• 0:59
  consumers
• 1:00
  respond
• 1:00
  to
• 1:00
  it?
• 1:01
  The
• 1:01
  whole
• 1:01
  nine
• 1:01
  yards,
• 1:01
  wherever
• 1:02
  you
• 1:02
  want
• 1:02
  to
• 1:02
  go
• 1:02
  with
• 1:02
  that.
• 1:02
  Oh,
• 1:03
  it's
• 1:03
  gigantic.
• 1:03
  It's
• 1:03
  one
• 1:03
  of
• 1:04
  the
• 1:04
  biggest.
• 1:04
  Gigantic.
• 1:05
  Really?
• 1:06
  Yes.
• 1:06
  Well,
• 1:06
  you
• 1:06
  think
• 1:06
  about
• 1:07
  the
• 1:07
  fact
• 1:07
  that
• 1:07
  GLP1s
• 1:08
  are
• 1:08
  an
• 1:08
  injectable,
• 1:09
  a
• 1:09
  very
• 1:09
  expensive
• 1:10
  injectable,
• 1:11
  not
• 1:11
  easy
• 1:11
  for
• 1:11
  consumers
• 1:12
  to
• 1:12
  access,
• 1:12
  and
• 1:13
  yet
• 1:13
  it
• 1:13
  has
• 1:13
  had
• 1:14
  so
• 1:14
  much
• 1:14
  impact
• 1:14
  that
• 1:15
  in
• 1:15
  the
• 1:15
  US
• 1:15
  we've
• 1:16
  seen
• 1:16
  obesity
• 1:17
  rates
• 1:17
  drop
• 1:17
  from
• 1:18
  about
• 1:18
  40%
• 1:19
  to
• 1:19
  37%,
• 1:21
  which
• 1:21
  is
• 1:21
  not
• 1:21
  enough,
• 1:21
  by
• 1:22
  the
• 1:22
  way,
• 1:22
  but
• 1:23
  a
• 1:23
  huge
• 1:23
  change
• 1:24
  in
• 1:24
  a
• 1:24
  very
• 1:24
  short
• 1:25
  period
• 1:25
  of
• 1:25
  time.
• 1:25
  Right.
• 1:25
  That's
• 1:26
  like
• 1:26
  almost
• 1:26
  10%
• 1:26
  drop.
• 1:27
  That's
• 1:27
  great.
• 1:27
  Yeah.
• 1:28
  So
• 1:28
  what
• 1:28
  is
• 1:29
  the
• 1:29
  impact
• 1:29
  on
• 1:29
  that
• 1:29
  for
• 1:30
  the
• 1:30
  grocery
• 1:30
  industry
• 1:31
  then
• 1:31
  you
• 1:31
  think
• 1:31
  as
• 1:31
  you
• 1:32
  look
• 1:32
  forward
• 1:32
  or
• 1:32
  for
• 1:33
  the
• 1:33
  consumer
• 1:33
  in
• 1:33
  terms
• 1:33
  of
• 1:34
  changing
• 1:34
  tastes
• 1:35
  or
• 1:35
  behaviors?
• 1:36
  Well,
• 1:36
  consumers
• 1:37
  themselves
• 1:37
  are.
• 1:37
  Then,
• 1:37
  you
• 1:38
  know,
• 1:38
  those
• 1:38
  ones
• 1:38
  who
• 1:38
  are
• 1:38
  using
• 1:39
  them
• 1:39
  are
• 1:39
  seeking
• 1:40
  to
• 1:40
  find
• 1:40
  those
• 1:41
  macronutrients,
• 1:41
  let
• 1:42
  alone
• 1:42
  the
• 1:42
  micronutrients
• 1:43
  they
• 1:43
  need
• 1:43
  because
• 1:43
  they're
• 1:43
  eating
• 1:44
  less
• 1:44
  and
• 1:44
  so
• 1:44
  they're
• 1:44
  struggling
• 1:45
  to
• 1:45
  get
• 1:45
  things
• 1:46
  like
• 1:46
  protein,
• 1:46
  which
• 1:47
  is
• 1:47
  why
• 1:47
  we
• 1:47
  see
• 1:48
  protein
• 1:48
  in
• 1:48
  everything.
• 1:49
  So
• 1:49
  you
• 1:49
  saw
• 1:50
  recently,
• 1:51
  Starbucks
• 1:51
  had
• 1:52
  released
• 1:52
  the
• 1:52
  cold
• 1:53
  protein
• 1:53
  foam.
• 1:54
  That's
• 1:54
  just
• 1:54
  yet
• 1:54
  another
• 1:55
  example
• 1:56
  of
• 1:56
  how
• 1:56
  companies
• 1:56
  are
• 1:57
  addressing
• 1:57
  those
• 1:58
  consumers
• 1:58
  needs
• 1:58
  for
• 1:59
  macronutrients.
• 1:59
  And
• 2:00
  you
• 2:00
  see
• 2:00
  it
• 2:00
  on
• 2:01
  both
• 2:01
  new
• 2:02
  and
• 2:02
  existing
• 2:02
  products.
• 2:03
  So
• 2:03
  you
• 2:03
  see
• 2:03
  a
• 2:03
  re
• 2:04
  skinning
• 2:04
  of
• 2:05
  old
• 2:05
  products
• 2:05
  to
• 2:06
  say
• 2:06
  to
• 2:06
  highlight
• 2:07
  those
• 2:07
  nutrients
• 2:07
  that
• 2:07
  consumers
• 2:08
  are
• 2:08
  really
• 2:08
  looking
• 2:08
  for.
• 2:09
  Yeah,
• 2:09
  we're
• 2:09
  seeing
• 2:09
  it
• 2:09
  even
• 2:09
  here
• 2:10
  in
• 2:10
  some
• 2:10
  of
• 2:10
  the
• 2:10
  sample
• 2:10
  rooms.
• 2:11
  They've
• 2:11
  got
• 2:11
  protein
• 2:11
  all
• 2:11
  over
• 2:12
  them
• 2:12
  like
• 2:12
  protein
• 2:13
  cookie
• 2:13
  dough,
• 2:13
  I
• 2:13
  noticed
• 2:14
  cookie
• 2:14
  dough
• 2:15
  ice
• 2:15
  cream.
• 2:15
  Protein
• 2:15
  cookie
• 2:15
  dough
• 2:16
  ice
• 2:16
  cream.
• 2:16
  I
• 2:16
  love
• 2:16
  the,
• 2:17
  you
• 2:17
  know,
• 2:17
  give
• 2:17
  us
• 2:17
  all
• 2:18
  the
• 2:18
  things
• 2:18
  we
• 2:18
  want.
• 2:19
  Both
• 2:19
  protein
• 2:19
  and
• 2:20
  that
• 2:20
  delicious
• 2:21
  indulgence
• 2:22
  that
• 2:22
  we
• 2:22
  need.
• 2:22
  So
• 2:22
  that,
• 2:23
  so
• 2:23
  you
• 2:23
  said
• 2:23
  we
• 2:23
  went
• 2:23
  from
• 2:23
  40
• 2:24
  to
• 2:24
  37.
• 2:24
  Are
• 2:24
  you
• 2:25
  expecting
• 2:25
  that
• 2:25
  to
• 2:26
  accelerate?
• 2:27
  Like,
• 2:27
  I
• 2:27
  mean,
• 2:27
  I
• 2:28
  know
• 2:28
  the,
• 2:28
  the,
• 2:29
  I
• 2:29
  don't
• 2:29
  know
• 2:29
  what
• 2:29
  the
• 2:30
  right
• 2:30
  word
• 2:30
  is,
• 2:30
  but
• 2:30
  the
• 2:30
  mechanism
• 2:31
  to
• 2:31
  take
• 2:31
  the
• 2:31
  drugs
• 2:32
  are
• 2:32
  still
• 2:32
  changing
• 2:33
  too.
• 2:33
  Are
• 2:33
  you
• 2:33
  expecting
• 2:34
  that
• 2:34
  growth
• 2:34
  curve
• 2:35
  to
• 2:35
  continue
• 2:35
  to
• 2:35
  accelerate,
• 2:36
  to
• 2:36
  impact
• 2:36
  the
• 2:36
  industry
• 2:37
  even
• 2:37
  more?
• 2:37
  I
• 2:37
  think
• 2:37
  it
• 2:38
  will
• 2:38
  only
• 2:38
  accelerate.
• 2:38
  I
• 2:39
  mean
• 2:39
  I
• 2:39
  think
• 2:39
  there,
• 2:39
  it's
• 2:40
  such
• 2:40
  a,
• 2:40
  there's
• 2:40
  huge
• 2:40
  pent
• 2:41
  up
• 2:41
  demand
• 2:41
  for
• 2:41
  this
• 2:42
  to
• 2:42
  the
• 2:42
  point
• 2:42
  where
• 2:42
  the
• 2:43
  drug
• 2:43
  for
• 2:43
  which,
• 2:43
  you
• 2:44
  know,
• 2:44
  the
• 2:45
  use
• 2:45
  case
• 2:45
  for
• 2:46
  which
• 2:46
  it
• 2:46
  was
• 2:46
  originally
• 2:47
  designed,
• 2:47
  which
• 2:47
  is
• 2:47
  for
• 2:47
  diabetics,
• 2:48
  there
• 2:48
  are
• 2:49
  a
• 2:49
  lot
• 2:49
  of
• 2:49
  diabetics
• 2:49
  who
• 2:49
  still
• 2:50
  struggle
• 2:50
  to
• 2:50
  get
• 2:51
  access
• 2:51
  to
• 2:51
  that
• 2:52
  drug.
• 2:52
  And
• 2:52
  so
• 2:53
  I
• 2:53
  can
• 2:53
  only
• 2:53
  see
• 2:54
  supply
• 2:54
  increasing.
• 2:55
  And
• 2:55
  that's
• 2:55
  not
• 2:55
  just
• 2:56
  in
• 2:56
  that
• 2:56
  injectable
• 2:56
  form
• 2:57
  as
• 2:57
  you
• 2:57
  mentioned,
• 2:58
  but
• 2:58
  also
• 2:58
  there's
• 2:59
  a
• 2:59
  pill
• 3:00
  form
• 3:00
  that
• 3:00
  has
• 3:00
  just
• 3:01
  been
• 3:01
  going
• 3:01
  through
• 3:01
  reviews
• 3:02
  and
• 3:03
  makes
• 3:03
  it
• 3:03
  even
• 3:03
  easier
• 3:04
  for
• 3:04
  consumers
• 3:04
  to
• 3:04
  be
• 3:05
  able
• 3:05
  to
• 3:05
  take
• 3:05
  this.
• 3:05
  Well,
• 3:06
  Karen,
• 3:06
  one
• 3:06
  other
• 3:07
  trend
• 3:07
  or
• 3:07
  buzzword
• 3:08
  that
• 3:08
  we've
• 3:08
  been
• 3:08
  hearing
• 3:09
  a
• 3:09
  lot
• 3:09
  about,
• 3:09
  and
• 3:09
  I'm
• 3:10
  curious
• 3:10
  to
• 3:10
  get
• 3:10
  your
• 3:10
  perspective
• 3:11
  briefly
• 3:12
  is
• 3:12
  on
• 3:13
  agentic
• 3:13
  commerce,
• 3:14
  how
• 3:14
  you
• 3:14
  think
• 3:14
  about
• 3:14
  that
• 3:15
  and
• 3:15
  how
• 3:15
  you
• 3:15
  think
• 3:15
  that
• 3:16
  retailers
• 3:16
  and
• 3:16
  brands
• 3:17
  should
• 3:17
  be
• 3:17
  thinking
• 3:17
  about
• 3:18
  agentic
• 3:18
  commerce.
• 3:19
  But
• 3:19
  then
• 3:19
  outside
• 3:20
  of
• 3:20
  that,
• 3:20
  what
• 3:20
  other
• 3:21
  trends
• 3:21
  in
• 3:21
  tech
• 3:22
  are
• 3:22
  you.
• 3:22
  We'll
• 3:23
  cover
• 3:23
  that
• 3:23
  quickly.
• 3:23
  But
• 3:24
  then
• 3:24
  what
• 3:24
  other
• 3:24
  trends
• 3:25
  are
• 3:25
  you
• 3:25
  hearing
• 3:25
  about
• 3:26
  in
• 3:26
  tech
• 3:26
  that
• 3:26
  we
• 3:26
  should
• 3:27
  be
• 3:27
  paying
• 3:27
  attention
• 3:27
  to?
• 3:27
  I
• 3:28
  love
• 3:28
  how
• 3:28
  you
• 3:28
  say
• 3:28
  we'll
• 3:29
  cover
• 3:29
  agentic
• 3:30
  commerce
• 3:30
  quickly
• 3:30
  because
• 3:31
  it
• 3:31
  is
• 3:32
  the
• 3:32
  topic
• 3:32
  of
• 3:33
  the
• 3:33
  hour.
• 3:33
  I
• 3:33
  was
• 3:33
  just
• 3:33
  at
• 3:33
  NRF
• 3:34
  last
• 3:34
  week.
• 3:35
  It
• 3:35
  was
• 3:35
  just
• 3:35
  blanketing
• 3:36
  the
• 3:36
  entire
• 3:36
  convention
• 3:37
  center
• 3:37
  and
• 3:37
  every
• 3:38
  conversation,
• 3:39
  all
• 3:39
  the
• 3:39
  discussions
• 3:40
  that
• 3:40
  Google
• 3:40
  had
• 3:41
  kicked
• 3:41
  off
• 3:41
  with
• 3:41
  their
• 3:42
  uct.
• 3:43
  So
• 3:43
  many
• 3:43
  Google
• 3:43
  announcements,
• 3:44
  everyone's
• 3:45
  really
• 3:45
  excited.
• 3:46
  And
• 3:46
  that's
• 3:46
  driven
• 3:47
  by
• 3:47
  the
• 3:47
  consumer.
• 3:48
  So
• 3:48
  the
• 3:48
  consumer,
• 3:48
  I
• 3:48
  mean,
• 3:49
  it's
• 3:49
  funny
• 3:49
  because
• 3:50
  I
• 3:50
  was
• 3:50
  just
• 3:50
  in
• 3:50
  a
• 3:51
  session
• 3:51
  where
• 3:51
  they're
• 3:51
  saying,
• 3:52
  do
• 3:52
  we
• 3:52
  trust
• 3:52
  AI
• 3:53
  or
• 3:53
  not?
• 3:53
  Broadly,
• 3:54
  we
• 3:54
  don't
• 3:55
  in
• 3:55
  personal
• 3:55
  senses.
• 3:56
  We
• 3:56
  do
• 3:58
  in
• 3:58
  our
• 3:58
  own
• 3:58
  research
• 3:59
  where
• 4:00
  36%
• 4:01
  of
• 4:01
  AI
• 4:01
  users
• 4:02
  consider
• 4:02
  AI
• 4:03
  to
• 4:03
  be
• 4:03
  a
• 4:03
  good
• 4:03
  friend.
• 4:04
  This
• 4:04
  is
• 4:04
  what
• 4:04
  they
• 4:05
  say.
• 4:05
  And
• 4:05
  this
• 4:06
  is
• 4:06
  not.
• 4:06
  They're
• 4:06
  naming
• 4:07
  it.
• 4:08
  This
• 4:08
  is
• 4:08
  not
• 4:09
  techno
• 4:09
  geeks.
• 4:10
  This
• 4:10
  is
• 4:10
  not
• 4:10
  weirdos
• 4:12
  like
• 4:12
  us.
• 4:13
  These
• 4:13
  are
• 4:13
  people
• 4:14
  who
• 4:14
  use
• 4:14
  AI
• 4:14
  as
• 4:15
  little
• 4:15
  as
• 4:15
  once
• 4:16
  a
• 4:16
  week.
• 4:16
  They're
• 4:17
  saying
• 4:17
  it
• 4:17
  is
• 4:17
  a
• 4:18
  Good
• 4:18
  friend.
• 4:18
  And
• 4:18
  that's
• 4:18
  because
• 4:18
  this
• 4:19
  is
• 4:19
  a
• 4:19
  technology
• 4:19
  that
• 4:20
  is
• 4:20
  more
• 4:20
  human
• 4:21
  than
• 4:21
  any
• 4:21
  that
• 4:22
  we've
• 4:22
  faced.
• 4:23
  So
• 4:23
  everyone
• 4:23
  has
• 4:23
  to
• 4:24
  respond
• 4:24
  because
• 4:25
  the
• 4:25
  LLMs
• 4:26
  are
• 4:26
  seeking
• 4:27
  to
• 4:27
  move
• 4:27
  into
• 4:27
  the
• 4:28
  space
• 4:28
  of
• 4:28
  commerce.
• 4:28
  That's
• 4:29
  where
• 4:29
  the
• 4:29
  money's
• 4:29
  at.
• 4:30
  They
• 4:30
  have
• 4:30
  to
• 4:31
  recoup
• 4:31
  some
• 4:31
  of
• 4:32
  that
• 4:32
  great
• 4:32
  investment
• 4:32
  that
• 4:33
  they
• 4:33
  made
• 4:33
  in
• 4:33
  their
• 4:33
  models.
• 4:35
  And
• 4:35
  everyone
• 4:35
  is
• 4:36
  sort
• 4:36
  of
• 4:36
  figuring
• 4:36
  out
• 4:37
  then
• 4:37
  what
• 4:37
  is
• 4:37
  the
• 4:38
  kind
• 4:38
  of
• 4:38
  natural,
• 4:39
  logical
• 4:40
  ecosystem
• 4:41
  that
• 4:41
  creates
• 4:41
  value
• 4:42
  both
• 4:42
  for
• 4:42
  the
• 4:42
  players
• 4:43
  and
• 4:43
  for
• 4:43
  the
• 4:43
  end
• 4:43
  consumer
• 4:44
  who
• 4:44
  plays
• 4:45
  what
• 4:45
  role
• 4:46
  and
• 4:47
  who
• 4:47
  controls
• 4:47
  what
• 4:47
  part
• 4:47
  of
• 4:48
  the
• 4:48
  design
• 4:48
  you're
• 4:48
  making.
• 4:48
  So
• 4:49
  what
• 4:49
  advice
• 4:49
  would
• 4:49
  you
• 4:50
  have
• 4:50
  then
• 4:50
  for
• 4:50
  retailers
• 4:51
  who
• 4:51
  are
• 4:51
  thinking
• 4:51
  about
• 4:52
  how
• 4:52
  to
• 4:52
  take
• 4:52
  the
• 4:53
  next
• 4:53
  step
• 4:53
  in
• 4:54
  their
• 4:54
  agentic
• 4:55
  commerce
• 4:55
  strategy?
• 4:56
  Yeah,
• 4:57
  it's
• 4:57
  a
• 4:57
  combination
• 4:58
  both
• 4:58
  of
• 4:58
  get
• 4:59
  in
• 4:59
  early
• 4:59
  so
• 5:00
  you
• 5:00
  learn
• 5:00
  it
• 5:00
  because
• 5:01
  things
• 5:01
  are
• 5:01
  changing
• 5:01
  so
• 5:02
  quickly.
• 5:02
  It
• 5:02
  is
• 5:02
  a
• 5:02
  different
• 5:03
  mindset
• 5:03
  instead
• 5:03
  of,
• 5:04
  I
• 5:04
  don't
• 5:04
  know,
• 5:05
  paradigms
• 5:05
  than
• 5:05
  you
• 5:06
  might
• 5:06
  have
• 5:06
  thought
• 5:06
  about
• 5:06
  your
• 5:07
  industry
• 5:07
  in
• 5:07
  the
• 5:07
  past.
• 5:08
  But
• 5:08
  don't
• 5:08
  try
• 5:08
  to
• 5:09
  be
• 5:09
  everything.
• 5:10
  I
• 5:10
  think
• 5:10
  a
• 5:10
  good
• 5:10
  example
• 5:11
  of
• 5:11
  this
• 5:11
  is
• 5:12
  Walmart
• 5:12
  where
• 5:13
  they
• 5:13
  are
• 5:13
  experiencing,
• 5:14
  experimenting
• 5:14
  very
• 5:14
  mindfully
• 5:15
  in
• 5:15
  different
• 5:15
  areas.
• 5:16
  They
• 5:16
  have
• 5:17
  Sparky,
• 5:18
  their
• 5:18
  own
• 5:18
  agent
• 5:19
  or
• 5:19
  shopping
• 5:20
  assistant,
• 5:20
  but
• 5:21
  they
• 5:21
  are
• 5:21
  also
• 5:21
  working
• 5:21
  with
• 5:22
  OpenAI
• 5:22
  and
• 5:23
  they're
• 5:23
  basically
• 5:24
  laying
• 5:25
  out
• 5:25
  their
• 5:25
  cards
• 5:26
  to
• 5:26
  see
• 5:26
  what
• 5:27
  roles
• 5:28
  different
• 5:28
  players
• 5:28
  will
• 5:29
  play
• 5:30
  because
• 5:30
  I
• 5:30
  don't
• 5:30
  think
• 5:30
  those
• 5:30
  players
• 5:31
  themselves
• 5:31
  know
• 5:32
  what
• 5:32
  they're
• 5:32
  going
• 5:32
  to
• 5:32
  be
• 5:32
  doing.
• 5:33
  So
• 5:33
  they're
• 5:33
  testing
• 5:33
  across
• 5:33
  the
• 5:34
  board.
• 5:35
  And
• 5:35
  then
• 5:35
  what
• 5:35
  about
• 5:35
  other
• 5:36
  technology
• 5:36
  outside
• 5:36
  of
• 5:37
  agent
• 5:37
  E
• 5:37
  commerce?
• 5:38
  Let's
• 5:38
  talk
• 5:38
  about
• 5:38
  some
• 5:38
  of
• 5:38
  the
• 5:38
  things
• 5:39
  that
• 5:39
  are
• 5:39
  kind
• 5:39
  of
• 5:39
  bubbling
• 5:40
  to
• 5:40
  the
• 5:40
  side
• 5:40
  top
• 5:40
  for
• 5:40
  you
• 5:40
  as
• 5:41
  you
• 5:41
  think
• 5:41
  about,
• 5:41
  you
• 5:42
  know,
• 5:42
  what
• 5:42
  you'd
• 5:42
  be
• 5:42
  tracking
• 5:43
  or
• 5:43
  following
• 5:44
  or
• 5:44
  maybe
• 5:44
  doing
• 5:45
  more
• 5:45
  experimentation
• 5:46
  with.
• 5:46
  I
• 5:46
  think
• 5:46
  we
• 5:47
  need
• 5:47
  to
• 5:47
  distinguish
• 5:47
  between
• 5:48
  that
• 5:48
  specific
• 5:49
  case
• 5:49
  of
• 5:49
  agentic
• 5:50
  commerce
• 5:50
  and
• 5:50
  broad
• 5:50
  AI.
• 5:51
  Sure.
• 5:51
  Right,
• 5:52
  right.
• 5:52
  And
• 5:52
  I
• 5:53
  think
• 5:53
  this
• 5:53
  is
• 5:53
  something
• 5:53
  that
• 5:54
  people
• 5:54
  kind
• 5:54
  of,
• 5:54
  they've
• 5:55
  been.
• 5:55
  A
• 5:56
  year
• 5:56
  ago
• 5:56
  or
• 5:56
  two
• 5:56
  years
• 5:57
  ago
• 5:57
  it
• 5:57
  was
• 5:57
  all
• 5:57
  gen
• 5:58
  AI
• 5:58
  and
• 5:58
  then
• 5:58
  it
• 5:59
  got
• 5:59
  brought
• 5:59
  into
• 5:59
  agents
• 6:00
  and
• 6:00
  now
• 6:00
  it's
• 6:00
  agentic
• 6:01
  commerce.
• 6:01
  But
• 6:02
  we
• 6:02
  have
• 6:02
  not
• 6:02
  even
• 6:02
  scratched
• 6:03
  the
• 6:03
  surface
• 6:04
  of
• 6:04
  the
• 6:04
  possibilities
• 6:04
  with
• 6:05
  AI,
• 6:05
  including
• 6:06
  how
• 6:06
  it
• 6:06
  impacts
• 6:07
  the
• 6:07
  work
• 6:07
  we
• 6:07
  do
• 6:08
  every
• 6:08
  single
• 6:08
  day
• 6:08
  as
• 6:09
  brands
• 6:09
  and
• 6:10
  retailers
• 6:10
  and
• 6:11
  how
• 6:11
  we
• 6:11
  need
• 6:11
  to
• 6:11
  fundamentally
• 6:12
  rewrite
• 6:13
  all
• 6:13
  of
• 6:13
  those
• 6:13
  processes
• 6:14
  and
• 6:14
  workflows
• 6:15
  in
• 6:15
  order
• 6:15
  to
• 6:15
  capture
• 6:16
  those
• 6:16
  capabilities.
• 6:17
  Is
• 6:17
  there
• 6:17
  one
• 6:17
  area
• 6:18
  that
• 6:18
  you
• 6:18
  would
• 6:18
  apply
• 6:19
  AI
• 6:19
  to
• 6:20
  right
• 6:20
  now?
• 6:20
  Like
• 6:21
  is
• 6:21
  it
• 6:21
  operations,
• 6:22
  is
• 6:22
  it
• 6:22
  planning,
• 6:23
  forecasting?
• 6:24
  Like
• 6:24
  where
• 6:24
  inventory
• 6:25
  analysis,
• 6:26
  marketing?
• 6:27
  Like
• 6:27
  where
• 6:27
  would
• 6:27
  you
• 6:28
  be
• 6:28
  telling
• 6:28
  people
• 6:28
  to
• 6:29
  kind
• 6:29
  of
• 6:29
  identify
• 6:30
  some
• 6:30
  of
• 6:30
  those
• 6:31
  main
• 6:31
  categories
• 6:31
  to
• 6:32
  start
• 6:32
  applying
• 6:32
  some
• 6:32
  the
• 6:32
  of
• 6:32
  of
• 6:32
  this
• 6:33
  AI
• 6:33
  technology
• 6:33
  too?
• 6:34
  Yeah,
• 6:34
  yeah.
• 6:35
  I
• 6:35
  mean
• 6:35
  so
• 6:35
  if
• 6:36
  you
• 6:36
  talk
• 6:36
  about
• 6:36
  planning
• 6:36
  and
• 6:36
  forecasting,
• 6:37
  AI
• 6:37
  has
• 6:37
  been
• 6:38
  there
• 6:38
  for
• 6:38
  a
• 6:38
  long
• 6:38
  time.
• 6:39
  It's
• 6:39
  just
• 6:40
  how
• 6:40
  you
• 6:40
  apply
• 6:41
  it
• 6:41
  needs
• 6:41
  to
• 6:41
  change.
• 6:42
  In
• 6:42
  the
• 6:42
  past,
• 6:42
  it
• 6:43
  was
• 6:43
  better
• 6:43
  predictions
• 6:44
  in
• 6:44
  the
• 6:45
  future
• 6:45
  or
• 6:45
  today.
• 6:45
  And
• 6:46
  in
• 6:46
  the
• 6:46
  future
• 6:46
  it
• 6:46
  needs
• 6:47
  to
• 6:47
  be
• 6:47
  better
• 6:47
  recommendations,
• 6:48
  better
• 6:48
  next,
• 6:48
  best
• 6:49
  action.
• 6:49
  So
• 6:50
  the
• 6:50
  planner
• 6:50
  pulls
• 6:51
  up
• 6:51
  their
• 6:52
  laptop
• 6:52
  or
• 6:52
  their
• 6:52
  computer
• 6:53
  and
• 6:53
  doesn't
• 6:54
  have
• 6:54
  to
• 6:54
  sift
• 6:54
  through
• 6:55
  all
• 6:55
  of
• 6:55
  the
• 6:55
  steps.
• 6:55
  Moving
• 6:55
  the
• 6:56
  repetition.
• 6:56
  Yeah.
• 6:57
  And
• 6:58
  so
• 6:58
  basically
• 6:59
  the
• 6:59
  AI
• 6:59
  agent
• 6:59
  is
• 7:00
  giving
• 7:00
  them
• 7:00
  three
• 7:01
  decisions
• 7:01
  you
• 7:01
  need
• 7:01
  to
• 7:01
  make
• 7:01
  today.
• 7:03
  Go.
• 7:03
  Right,
• 7:04
  right.
• 7:04
  That
• 7:04
  makes
• 7:04
  sense.
• 7:05
  So,
• 7:05
  Karen,
• 7:05
  I'm
• 7:05
  curious
• 7:05
  too,
• 7:06
  because
• 7:06
  you're
• 7:06
  the
• 7:06
  global
• 7:06
  head
• 7:07
  of
• 7:07
  industry
• 7:07
  research.
• 7:08
  Industry
• 7:09
  research
• 7:09
  for
• 7:10
  Accenture
• 7:10
  too.
• 7:10
  Like,
• 7:11
  I'm
• 7:11
  gonna
• 7:11
  go
• 7:11
  back
• 7:11
  to
• 7:11
  agenta
• 7:12
  commerce
• 7:12
  before
• 7:12
  we
• 7:12
  move
• 7:13
  off
• 7:13
  it
• 7:13
  too
• 7:13
  quickly.
• 7:14
  So
• 7:14
  when
• 7:15
  you're,
• 7:16
  when
• 7:16
  you're
• 7:16
  assessing
• 7:17
  the
• 7:17
  landscape
• 7:18
  here,
• 7:19
  how
• 7:19
  quickly
• 7:20
  do
• 7:20
  you
• 7:20
  think
• 7:20
  consumers
• 7:21
  are
• 7:21
  going
• 7:21
  to
• 7:21
  move
• 7:22
  to
• 7:22
  a
• 7:22
  willingness
• 7:23
  to
• 7:23
  have
• 7:23
  an
• 7:23
  agent
• 7:24
  purchase
• 7:24
  products
• 7:25
  for
• 7:25
  them?
• 7:26
  Like,
• 7:26
  are
• 7:26
  we
• 7:26
  talking
• 7:26
  like,
• 7:27
  this
• 7:27
  is
• 7:27
  going
• 7:27
  to
• 7:27
  be
• 7:28
  really
• 7:28
  fast,
• 7:29
  like
• 7:29
  iPhone
• 7:30
  adoption
• 7:31
  rates,
• 7:31
  or
• 7:31
  is
• 7:31
  it
• 7:32
  going
• 7:32
  to
• 7:32
  be
• 7:32
  like
• 7:32
  a
• 7:32
  slower
• 7:33
  grow?
• 7:33
  Like,
• 7:33
  and
• 7:34
  is
• 7:34
  it
• 7:34
  going
• 7:34
  to
• 7:34
  be
• 7:34
  different
• 7:34
  by
• 7:34
  geography
• 7:35
  too?
• 7:35
  I'm
• 7:35
  curious
• 7:35
  what
• 7:36
  you
• 7:36
  think
• 7:36
  on
• 7:36
  that.
• 7:36
  Oh,
• 7:37
  absolutely.
• 7:38
  It's
• 7:38
  going
• 7:38
  to
• 7:38
  happen
• 7:38
  faster
• 7:39
  than
• 7:39
  I
• 7:39
  think.
• 7:39
  Wow.
• 7:40
  I
• 7:41
  don't
• 7:41
  know
• 7:41
  if
• 7:41
  that's
• 7:42
  a
• 7:42
  contradiction
• 7:43
  in
• 7:43
  terms
• 7:43
  or
• 7:43
  not,
• 7:44
  but
• 7:45
  let
• 7:45
  me
• 7:46
  nuance
• 7:46
  that
• 7:46
  a
• 7:46
  bit.
• 7:47
  A
• 7:47
  lot
• 7:47
  depends
• 7:48
  on
• 7:48
  what
• 7:48
  the
• 7:48
  players
• 7:49
  in
• 7:49
  the
• 7:49
  field
• 7:49
  do
• 7:50
  and
• 7:50
  are
• 7:50
  able
• 7:50
  to
• 7:51
  enable
• 7:51
  right
• 7:51
  now.
• 7:51
  It's
• 7:52
  a
• 7:52
  bunch
• 7:52
  of
• 7:52
  cobbled
• 7:52
  together
• 7:53
  little
• 7:53
  solutions
• 7:53
  that
• 7:53
  are
• 7:53
  actually
• 7:54
  not
• 7:54
  a
• 7:54
  great
• 7:54
  shopping
• 7:54
  experience.
• 7:55
  It's
• 7:55
  not
• 7:56
  easy
• 7:56
  for
• 7:56
  consumers.
• 7:56
  They
• 7:57
  aren't,
• 7:57
  you
• 7:57
  know,
• 7:57
  we
• 7:58
  aren't
• 7:58
  going
• 7:58
  to
• 7:58
  do
• 7:58
  it.
• 7:59
  Speaking
• 7:59
  as
• 7:59
  a
• 7:59
  lazy
• 7:59
  consumer
• 8:00
  myself.
• 8:00
  Right,
• 8:01
  right.
• 8:01
  But
• 8:01
  they
• 8:01
  want
• 8:02
  to.
• 8:02
  But
• 8:03
  they
• 8:03
  want
• 8:03
  to.
• 8:03
  So
• 8:04
  consumers.
• 8:04
  We
• 8:05
  did
• 8:05
  research
• 8:06
  in
• 8:06
  the
• 8:06
  spring
• 8:06
  where
• 8:06
  we
• 8:07
  asked
• 8:07
  consumers
• 8:07
  that
• 8:07
  exact
• 8:08
  question.
• 8:08
  Would
• 8:08
  you
• 8:09
  let
• 8:09
  an
• 8:10
  agent
• 8:10
  that
• 8:10
  knows
• 8:10
  you
• 8:10
  and
• 8:11
  your
• 8:11
  preferences
• 8:11
  just
• 8:12
  go
• 8:12
  all
• 8:12
  the
• 8:12
  way
• 8:12
  to
• 8:12
  click
• 8:13
  to
• 8:13
  purchase
• 8:14
  and
• 8:14
  the
• 8:14
  product
• 8:14
  shows
• 8:14
  up
• 8:15
  at
• 8:15
  your
• 8:15
  doorstep?
• 8:16
  Right
• 8:16
  then
• 8:17
  it
• 8:17
  was
• 8:17
  about
• 8:17
  12%
• 8:18
  said,
• 8:18
  yeah,
• 8:19
  we
• 8:19
  would
• 8:19
  actually.
• 8:19
  12%.
• 8:20
  And
• 8:20
  this
• 8:20
  was
• 8:20
  a
• 8:20
  global
• 8:20
  audience
• 8:21
  that
• 8:21
  we
• 8:21
  looked
• 8:21
  at.
• 8:21
  Okay.
• 8:22
  When
• 8:22
  we
• 8:22
  asked
• 8:22
  in
• 8:23
  the
• 8:23
  fall,
• 8:23
  that
• 8:23
  number
• 8:23
  had
• 8:24
  risen
• 8:24
  to
• 8:24
  15%.
• 8:25
  Okay.
• 8:25
  You
• 8:26
  know,
• 8:26
  a
• 8:26
  small
• 8:27
  incremental
• 8:27
  change.
• 8:28
  But
• 8:28
  you
• 8:28
  think
• 8:28
  about,
• 8:28
  you
• 8:29
  know,
• 8:29
  the
• 8:30
  actual
• 8:31
  solutions
• 8:31
  that
• 8:31
  were
• 8:31
  in
• 8:31
  market
• 8:32
  that
• 8:32
  allowed
• 8:32
  a
• 8:33
  consumer
• 8:33
  to
• 8:33
  do
• 8:33
  that
• 8:33
  had
• 8:34
  not
• 8:34
  changed
• 8:34
  material.
• 8:35
  Lots
• 8:35
  of
• 8:35
  exciting
• 8:36
  announcements,
• 8:36
  but
• 8:36
  nothing
• 8:37
  really
• 8:37
  realized
• 8:38
  up
• 8:38
  to
• 8:38
  that
• 8:38
  point.
• 8:38
  And
• 8:39
  yet
• 8:39
  we
• 8:39
  see
• 8:39
  that
• 8:39
  number
• 8:40
  changing
• 8:40
  when
• 8:40
  it's
• 8:40
  still,
• 8:41
  I
• 8:41
  mean,
• 8:41
  we
• 8:42
  think
• 8:42
  about
• 8:42
  agentic
• 8:43
  commerce
• 8:43
  all
• 8:43
  the
• 8:43
  time.
• 8:43
  How
• 8:43
  much
• 8:44
  does
• 8:44
  the
• 8:44
  average
• 8:44
  consumer.
• 8:45
  They're
• 8:45
  just
• 8:46
  kind
• 8:46
  of.
• 8:46
  They're
• 8:46
  still
• 8:46
  in
• 8:46
  a
• 8:47
  fairly
• 8:47
  experimental
• 8:47
  stage.
• 8:48
  But
• 8:48
  when
• 8:48
  it
• 8:48
  happens
• 8:49
  and
• 8:49
  when
• 8:49
  those
• 8:49
  solutions
• 8:50
  exist,
• 8:50
  I
• 8:50
  think
• 8:50
  it'll
• 8:51
  happen
• 8:51
  very
• 8:51
  quickly
• 8:52
  because
• 8:52
  we
• 8:52
  are
• 8:53
  all
• 8:53
  looking
• 8:53
  for
• 8:54
  that
• 8:54
  easy
• 8:55
  Solution.
• 8:55
  Right.
• 8:56
  It
• 8:56
  was
• 8:56
  all
• 8:56
  theoretical
• 8:56
  at
• 8:57
  this
• 8:57
  point
• 8:57
  in
• 8:57
  time
• 8:57
  that
• 8:57
  you're
• 8:57
  asking
• 8:58
  them
• 8:58
  what
• 8:58
  were
• 8:59
  some
• 8:59
  of
• 8:59
  the
• 8:59
  reservations
• 9:00
  that
• 9:00
  you
• 9:01
  identified
• 9:01
  in
• 9:01
  that
• 9:02
  research
• 9:02
  too
• 9:02
  about
• 9:03
  using
• 9:03
  agented
• 9:03
  commerce
• 9:04
  for
• 9:04
  our
• 9:04
  audience?
• 9:04
  So
• 9:04
  we
• 9:04
  know,
• 9:05
  like,
• 9:05
  what
• 9:05
  are
• 9:05
  some
• 9:05
  of
• 9:05
  the
• 9:05
  hurdles
• 9:06
  that
• 9:06
  people
• 9:06
  are
• 9:07
  going
• 9:07
  to
• 9:07
  potentially
• 9:07
  need
• 9:07
  to
• 9:08
  get
• 9:08
  over?
• 9:08
  This
• 9:09
  is
• 9:09
  no
• 9:09
  different
• 9:09
  than
• 9:09
  any
• 9:10
  other
• 9:10
  kind
• 9:10
  of
• 9:10
  commerce.
• 9:11
  So
• 9:11
  we
• 9:11
  did
• 9:11
  a
• 9:12
  lot
• 9:12
  of
• 9:12
  research
• 9:12
  on
• 9:12
  social
• 9:13
  commerce
• 9:13
  and
• 9:13
  we
• 9:13
  started
• 9:14
  to
• 9:14
  pay
• 9:14
  attention
• 9:14
  to
• 9:15
  the
• 9:15
  growth
• 9:15
  it
• 9:16
  had,
• 9:16
  particularly
• 9:16
  in
• 9:17
  other
• 9:17
  markets
• 9:17
  than
• 9:17
  the
• 9:17
  US
• 9:18
  but
• 9:18
  including
• 9:18
  in
• 9:18
  the
• 9:19
  US
• 9:19
  and
• 9:19
  we
• 9:19
  found
• 9:20
  that
• 9:20
  the
• 9:20
  problem
• 9:21
  was,
• 9:22
  you
• 9:22
  know,
• 9:22
  is
• 9:22
  it
• 9:22
  easy?
• 9:23
  That's
• 9:23
  why
• 9:23
  I
• 9:23
  keep
• 9:23
  going
• 9:23
  back
• 9:24
  to
• 9:24
  do
• 9:24
  those
• 9:25
  mechanisms
• 9:25
  exist
• 9:26
  and
• 9:26
  our
• 9:26
  company
• 9:26
  is
• 9:26
  providing
• 9:27
  that
• 9:27
  ecosystem
• 9:28
  of
• 9:29
  services
• 9:29
  that
• 9:30
  make
• 9:30
  it
• 9:30
  easy
• 9:30
  for
• 9:31
  a
• 9:31
  consumer
• 9:31
  to
• 9:31
  actually
• 9:31
  get
• 9:32
  what
• 9:32
  they
• 9:32
  want.
• 9:32
  Wow.
• 9:33
  So
• 9:33
  this
• 9:33
  is
• 9:33
  one
• 9:33
  of
• 9:33
  those
• 9:33
  areas
• 9:34
  where
• 9:34
  the
• 9:34
  consumer
• 9:34
  is
• 9:35
  actually
• 9:35
  out
• 9:35
  in
• 9:35
  front
• 9:35
  of
• 9:36
  the
• 9:36
  technology
• 9:36
  in
• 9:37
  terms
• 9:37
  of
• 9:37
  desire.
• 9:37
  Even
• 9:38
  though
• 9:38
  the
• 9:38
  technology
• 9:38
  is
• 9:39
  two
• 9:39
  years.
• 9:39
  Old,
• 9:39
  I
• 9:39
  would
• 9:40
  say.
• 9:40
  Or
• 9:40
  not
• 9:40
  even
• 9:40
  two
• 9:40
  years
• 9:40
  old.
• 9:41
  Agentix,
• 9:41
  like,
• 9:41
  not
• 9:42
  that.
• 9:42
  What
• 9:42
  yet?
• 9:42
  No,
• 9:42
  it's
• 9:43
  not.
• 9:43
  It's
• 9:43
  not
• 9:44
  that
• 9:44
  old
• 9:44
  at
• 9:44
  all.
• 9:44
  And
• 9:44
  I
• 9:45
  mean,
• 9:45
  what
• 9:45
  was
• 9:45
  possible
• 9:46
  last
• 9:46
  week
• 9:47
  is
• 9:47
  different
• 9:47
  than
• 9:47
  what
• 9:47
  is
• 9:48
  possible
• 9:48
  this
• 9:48
  week.
• 9:48
  Wow.
• 9:49
  But
• 9:49
  I
• 9:49
  would
• 9:49
  say
• 9:50
  the,
• 9:51
  the
• 9:51
  consumer
• 9:52
  is
• 9:52
  well
• 9:53
  ahead
• 9:53
  in
• 9:53
  terms
• 9:53
  of
• 9:53
  their
• 9:54
  demand.
• 9:54
  The
• 9:54
  tech
• 9:55
  is
• 9:55
  actually
• 9:55
  quickly
• 9:56
  catching
• 9:56
  up
• 9:57
  to
• 9:57
  that
• 9:57
  and
• 9:57
  creating
• 9:58
  new
• 9:58
  demands
• 9:59
  for
• 9:59
  the
• 9:59
  consumer.
• 10:00
  Retailers
• 10:01
  and
• 10:01
  brands
• 10:01
  are
• 10:01
  a
• 10:01
  little
• 10:02
  bit
• 10:02
  behind.
• 10:02
  Right.
• 10:03
  And
• 10:03
  the
• 10:03
  tech
• 10:04
  companies
• 10:05
  too.
• 10:05
  So
• 10:05
  everyone
• 10:06
  has.
• 10:06
  That's
• 10:06
  why
• 10:06
  I
• 10:06
  keep
• 10:06
  going
• 10:07
  back
• 10:07
  to
• 10:07
  ecosystem.
• 10:07
  Everyone
• 10:08
  has
• 10:08
  to
• 10:08
  figure
• 10:08
  out
• 10:08
  their
• 10:08
  right
• 10:09
  role
• 10:09
  and
• 10:09
  the
• 10:09
  right
• 10:09
  solution.
• 10:10
  Wow.
• 10:11
  And
• 10:11
  I
• 10:11
  imagine
• 10:12
  that
• 10:12
  once
• 10:12
  you
• 10:12
  can
• 10:13
  start
• 10:13
  like
• 10:13
  the
• 10:14
  buying
• 10:14
  only
• 10:14
  one
• 10:14
  product
• 10:15
  at
• 10:15
  a
• 10:15
  time
• 10:15
  right
• 10:16
  now.
• 10:16
  Oh,
• 10:16
  goodness.
• 10:16
  Yes.
• 10:16
  Which
• 10:17
  is
• 10:17
  a
• 10:17
  big
• 10:17
  component
• 10:18
  of
• 10:18
  that
• 10:18
  too,
• 10:19
  is
• 10:19
  not
• 10:19
  how
• 10:19
  people
• 10:20
  shop
• 10:20
  for
• 10:20
  a
• 10:21
  lot
• 10:21
  of
• 10:21
  things.
• 10:21
  They're
• 10:21
  doing
• 10:22
  a
• 10:22
  basket,
• 10:22
  like
• 10:22
  in
• 10:22
  grocery,
• 10:23
  for
• 10:23
  example,
• 10:23
  that
• 10:24
  will
• 10:24
  change.
• 10:24
  It's
• 10:25
  rare
• 10:25
  that
• 10:25
  we're
• 10:25
  just
• 10:26
  buying
• 10:26
  one
• 10:26
  thing.
• 10:27
  So
• 10:27
  I
• 10:27
  imagine
• 10:28
  that
• 10:28
  things
• 10:28
  like
• 10:28
  that
• 10:29
  allowing
• 10:29
  basket
• 10:30
  building
• 10:30
  and
• 10:30
  things
• 10:31
  like
• 10:31
  that
• 10:31
  on
• 10:31
  top
• 10:31
  will
• 10:32
  start
• 10:32
  to
• 10:32
  change.
• 10:34
  That
• 10:34
  would
• 10:34
  be
• 10:34
  a
• 10:34
  hurdle,
• 10:35
  maybe.
• 10:35
  And
• 10:36
  linking
• 10:36
  my
• 10:36
  basket
• 10:37
  for
• 10:37
  one
• 10:37
  occasion,
• 10:38
  like
• 10:38
  my
• 10:38
  weekly
• 10:38
  shop
• 10:39
  with
• 10:40
  my
• 10:40
  baskets
• 10:41
  for
• 10:41
  other
• 10:41
  occasions,
• 10:41
  like
• 10:41
  the
• 10:42
  fact
• 10:42
  that
• 10:42
  I'm
• 10:42
  going
• 10:42
  on
• 10:42
  vacation
• 10:43
  next
• 10:43
  week,
• 10:43
  that
• 10:43
  changes
• 10:44
  my
• 10:44
  weekly
• 10:44
  shop,
• 10:45
  actually.
• 10:45
  But
• 10:46
  do
• 10:46
  the
• 10:47
  different
• 10:48
  systems
• 10:48
  talk
• 10:48
  to
• 10:49
  one
• 10:49
  another
• 10:49
  now?
• 10:49
  Right.
• 10:50
  Wow,
• 10:50
  that's
• 10:50
  fast.
• 10:50
  There's
• 10:51
  some
• 10:51
  pent
• 10:51
  up
• 10:51
  demand
• 10:51
  here.
• 10:52
  That's
• 10:52
  what
• 10:52
  you're
• 10:52
  getting
• 10:52
  at.
• 10:53
  Wow.
• 10:53
  Wow.
• 10:54
  All
• 10:54
  right,
• 10:54
  so
• 10:54
  let's
• 10:54
  shift
• 10:54
  gears
• 10:55
  a
• 10:55
  little
• 10:55
  bit
• 10:55
  away
• 10:55
  from
• 10:55
  technology.
• 10:56
  One
• 10:56
  of
• 10:56
  the
• 10:56
  things
• 10:57
  that
• 10:57
  always
• 10:57
  gets
• 10:57
  talked
• 10:57
  about
• 10:58
  at
• 10:58
  this
• 10:58
  show
• 10:58
  is
• 10:58
  private
• 10:59
  brands.
• 10:59
  Yes.
• 11:01
  How
• 11:01
  important?
• 11:02
  I
• 11:02
  mean,
• 11:02
  we
• 11:02
  hear
• 11:02
  a
• 11:02
  lot
• 11:03
  about
• 11:03
  budget
• 11:03
  constraints,
• 11:04
  you
• 11:04
  know,
• 11:04
  depending
• 11:04
  on
• 11:04
  who
• 11:05
  you
• 11:05
  talk
• 11:05
  to.
• 11:05
  How
• 11:05
  important
• 11:06
  Are
• 11:06
  private
• 11:06
  brands
• 11:07
  now
• 11:07
  going
• 11:08
  forward
• 11:08
  for
• 11:08
  grocers
• 11:09
  and
• 11:09
  for
• 11:09
  the
• 11:09
  consumer?
• 11:10
  I
• 11:10
  think
• 11:11
  it's,
• 11:11
  there's,
• 11:12
  there's
• 11:12
  a
• 11:12
  good,
• 11:12
  there's
• 11:13
  a
• 11:13
  good,
• 11:13
  the
• 11:13
  bad
• 11:13
  and
• 11:13
  the
• 11:13
  ugly.
• 11:14
  We
• 11:14
  always
• 11:14
  hear
• 11:14
  about
• 11:15
  it
• 11:16
  label
• 11:16
  where
• 11:17
  I
• 11:17
  think
• 11:18
  that
• 11:18
  consumer
• 11:19
  receptivity
• 11:20
  of
• 11:20
  private
• 11:21
  brands
• 11:22
  went
• 11:22
  up
• 11:22
  and
• 11:22
  continues
• 11:23
  to
• 11:23
  go
• 11:23
  up.
• 11:24
  It's
• 11:24
  probably
• 11:24
  at
• 11:24
  the
• 11:25
  highest
• 11:25
  it's
• 11:25
  ever
• 11:25
  been,
• 11:25
  right?
• 11:25
  Yeah,
• 11:26
  exactly.
• 11:26
  And
• 11:27
  that's
• 11:27
  partly
• 11:28
  based
• 11:28
  on
• 11:28
  the
• 11:29
  value
• 11:29
  that
• 11:29
  it
• 11:29
  provides
• 11:30
  an
• 11:30
  individual
• 11:30
  consumer,
• 11:31
  but
• 11:31
  it's
• 11:31
  also
• 11:31
  based
• 11:31
  on
• 11:32
  the
• 11:32
  fact
• 11:32
  that
• 11:32
  certain
• 11:32
  offerings
• 11:33
  have
• 11:33
  been
• 11:34
  particularly
• 11:34
  good.
• 11:35
  I
• 11:35
  always
• 11:35
  call
• 11:36
  out
• 11:36
  the
• 11:36
  Kirkland
• 11:36
  Signature
• 11:37
  brand
• 11:37
  at
• 11:37
  Costco.
• 11:38
  People
• 11:38
  love
• 11:39
  it,
• 11:39
  I
• 11:39
  certainly
• 11:40
  love
• 11:40
  it.
• 11:41
  And
• 11:41
  it's
• 11:41
  a
• 11:42
  super
• 11:42
  quality
• 11:43
  brand.
• 11:43
  I
• 11:44
  would
• 11:44
  go
• 11:44
  for
• 11:44
  that
• 11:45
  reason.
• 11:45
  I
• 11:46
  think
• 11:46
  the
• 11:48
  kind
• 11:48
  of
• 11:49
  bad
• 11:49
  part
• 11:49
  of
• 11:49
  it
• 11:49
  is
• 11:50
  that
• 11:51
  grocery
• 11:52
  retailers
• 11:53
  have
• 11:53
  not
• 11:53
  necessarily
• 11:54
  kept
• 11:54
  up
• 11:54
  with
• 11:55
  that
• 11:55
  again,
• 11:55
  pent
• 11:56
  up
• 11:56
  demand
• 11:56
  that
• 11:56
  consumers
• 11:57
  or
• 11:57
  receptivity
• 11:57
  that
• 11:58
  consumers
• 11:58
  have.
• 11:59
  Some
• 11:59
  grocery
• 11:59
  retailers
• 12:00
  have
• 12:01
  provided
• 12:01
  some
• 12:02
  very
• 12:02
  good
• 12:02
  and
• 12:02
  distinguished
• 12:03
  offerings.
• 12:03
  But
• 12:03
  there's
• 12:04
  still
• 12:04
  a
• 12:04
  lot,
• 12:04
  if
• 12:04
  you
• 12:05
  look
• 12:05
  behind
• 12:05
  the
• 12:05
  hood,
• 12:06
  a
• 12:06
  lot
• 12:06
  of
• 12:07
  let's
• 12:07
  look
• 12:08
  at,
• 12:08
  let's
• 12:09
  wait
• 12:09
  for,
• 12:09
  for
• 12:09
  those
• 12:09
  trends
• 12:10
  to
• 12:10
  exist
• 12:10
  and
• 12:11
  then
• 12:11
  jump
• 12:11
  on
• 12:11
  them
• 12:12
  with
• 12:12
  something
• 12:12
  that's
• 12:12
  a
• 12:12
  copycat
• 12:13
  product.
• 12:13
  And
• 12:13
  maybe
• 12:14
  they
• 12:14
  do
• 12:14
  a
• 12:14
  really
• 12:14
  good
• 12:14
  job
• 12:15
  at
• 12:15
  that.
• 12:15
  But
• 12:16
  their
• 12:17
  mechanism
• 12:17
  for
• 12:18
  scanning,
• 12:18
  sensing
• 12:19
  what
• 12:19
  could
• 12:19
  be
• 12:20
  new
• 12:20
  trends
• 12:20
  and
• 12:20
  then
• 12:21
  the
• 12:21
  ability
• 12:21
  to
• 12:22
  create
• 12:22
  those
• 12:22
  new
• 12:22
  trends
• 12:24
  I
• 12:24
  don't
• 12:24
  see
• 12:24
  as
• 12:24
  well
• 12:25
  developed
• 12:25
  yet.
• 12:26
  And
• 12:26
  that's
• 12:26
  where
• 12:27
  speaking
• 12:27
  with
• 12:28
  my
• 12:28
  CPG
• 12:29
  hat
• 12:29
  on,
• 12:29
  the
• 12:29
  CPG
• 12:30
  companies
• 12:30
  definitely
• 12:31
  have
• 12:31
  an
• 12:31
  advantage
• 12:31
  because
• 12:32
  that
• 12:32
  is
• 12:32
  what
• 12:32
  they
• 12:32
  do
• 12:32
  all
• 12:33
  the
• 12:33
  time.
• 12:33
  And
• 12:33
  so
• 12:33
  they
• 12:34
  are
• 12:34
  seeking
• 12:35
  in
• 12:35
  a
• 12:35
  larger
• 12:36
  extent
• 12:36
  to
• 12:37
  create
• 12:37
  those
• 12:37
  new
• 12:37
  trends
• 12:38
  in
• 12:38
  that
• 12:38
  new
• 12:38
  demand
• 12:38
  space.
• 12:39
  So
• 12:39
  would
• 12:39
  you
• 12:39
  say
• 12:39
  that's
• 12:40
  a
• 12:40
  white
• 12:40
  space
• 12:40
  then
• 12:40
  for
• 12:41
  those
• 12:41
  that
• 12:41
  want
• 12:41
  to
• 12:41
  capitalize
• 12:42
  on
• 12:42
  it?
• 12:42
  I
• 12:42
  do,
• 12:43
  yeah.
• 12:43
  That's
• 12:43
  interesting.
• 12:43
  I
• 12:43
  was
• 12:43
  having
• 12:43
  that
• 12:44
  conversation
• 12:44
  with
• 12:44
  the
• 12:44
  lead
• 12:45
  merchant
• 12:45
  at
• 12:45
  a
• 12:46
  pretty
• 12:46
  big
• 12:46
  grocer
• 12:46
  this
• 12:47
  morning
• 12:47
  and
• 12:47
  he
• 12:47
  said
• 12:47
  exactly
• 12:48
  the
• 12:48
  same
• 12:48
  thing.
• 12:48
  So
• 12:48
  that's
• 12:48
  validated.
• 12:49
  Well,
• 12:49
  if
• 12:49
  you
• 12:50
  think
• 12:50
  about
• 12:50
  grocery
• 12:50
  in
• 12:50
  the
• 12:51
  U.S.
• 12:51
  it's
• 12:52
  not
• 12:52
  a
• 12:52
  very
• 12:52
  distinguished
• 12:53
  offering
• 12:53
  necessarily
• 12:54
  one
• 12:54
  from
• 12:54
  another.
• 12:55
  No.
• 12:55
  Right.
• 12:56
  If
• 12:56
  you
• 12:56
  go
• 12:56
  into
• 12:56
  a
• 12:57
  grocery
• 12:57
  store,
• 12:57
  you
• 12:57
  still
• 12:58
  find
• 12:58
  many
• 12:58
  grocery
• 12:59
  stores
• 12:59
  that
• 12:59
  have
• 12:59
  not
• 12:59
  changed
• 13:00
  in
• 13:00
  decades.
• 13:01
  And
• 13:02
  could
• 13:02
  you
• 13:02
  really
• 13:03
  tell
• 13:03
  without
• 13:04
  actually
• 13:04
  reading
• 13:05
  the
• 13:05
  sign
• 13:05
  which
• 13:05
  grocery
• 13:06
  store
• 13:06
  you
• 13:06
  were
• 13:06
  in?
• 13:06
  There
• 13:07
  are
• 13:07
  some
• 13:07
  great
• 13:08
  standout
• 13:08
  examples
• 13:09
  in
• 13:09
  our
• 13:09
  market
• 13:09
  and
• 13:09
  then
• 13:09
  there
• 13:10
  are
• 13:10
  many
• 13:10
  that
• 13:10
  are
• 13:10
  not.
• 13:11
  And
• 13:11
  then
• 13:11
  the
• 13:11
  trick
• 13:11
  is
• 13:11
  scale
• 13:12
  too.
• 13:12
  Right.
• 13:12
  You
• 13:12
  need
• 13:12
  scale
• 13:13
  for
• 13:13
  private
• 13:13
  label.
• 13:14
  So
• 13:14
  there's
• 13:14
  always
• 13:14
  the
• 13:14
  catch
• 13:15
  22
• 13:15
  there
• 13:15
  in
• 13:15
  terms
• 13:16
  of
• 13:16
  how
• 13:16
  do
• 13:16
  you
• 13:16
  get
• 13:17
  the
• 13:17
  money
• 13:17
  and
• 13:17
  the
• 13:17
  resources
• 13:18
  to
• 13:18
  do
• 13:18
  it.
• 13:18
  Right,
• 13:18
  right.
• 13:19
  Everyone
• 13:20
  always
• 13:20
  points
• 13:20
  at
• 13:20
  Europe
• 13:21
  and
• 13:21
  says,
• 13:21
  oh
• 13:22
  well,
• 13:22
  we
• 13:22
  should
• 13:22
  do
• 13:22
  it
• 13:22
  like
• 13:23
  them.
• 13:23
  I'm
• 13:23
  like
• 13:23
  they
• 13:24
  have
• 13:24
  a
• 13:24
  far
• 13:24
  more
• 13:24
  concentrated
• 13:25
  market
• 13:25
  in
• 13:25
  their
• 13:26
  different
• 13:26
  countries
• 13:27
  than
• 13:27
  we
• 13:27
  have
• 13:27
  in
• 13:28
  the
• 13:28
  United
• 13:28
  States.
• 13:29
  So
• 13:29
  it's
• 13:29
  a
• 13:29
  little
• 13:29
  bit
• 13:30
  easier.
• 13:30
  Yep,
• 13:30
  great
• 13:31
  point.
• 13:31
  Well,
• 13:32
  Karen,
• 13:32
  let's
• 13:32
  close
• 13:33
  with
• 13:34
  looking
• 13:34
  ahead
• 13:34
  to
• 13:35
  FMI
• 13:36
  2027.
• 13:38
  We're
• 13:38
  going
• 13:39
  to
• 13:39
  have
• 13:39
  you
• 13:39
  back
• 13:39
  on
• 13:39
  the
• 13:40
  show.
• 13:40
  What
• 13:40
  do
• 13:41
  you
• 13:41
  think
• 13:41
  we'll
• 13:41
  be
• 13:41
  talking
• 13:42
  about
• 13:42
  then?
• 13:42
  Will
• 13:43
  we
• 13:43
  still
• 13:43
  be
• 13:43
  talking
• 13:44
  Magentic
• 13:44
  commerce?
• 13:45
  Will
• 13:45
  we
• 13:45
  still
• 13:45
  be
• 13:45
  talking
• 13:46
  AI
• 13:48
  or
• 13:48
  is
• 13:48
  it,
• 13:49
  is
• 13:49
  it
• 13:49
  something
• 13:49
  new?
• 13:50
  What
• 13:51
  is
• 13:51
  still
• 13:51
  out
• 13:51
  there
• 13:52
  that
• 13:52
  you
• 13:52
  think
• 13:52
  will
• 13:52
  evolve
• 13:53
  over
• 13:53
  the
• 13:53
  course
• 13:53
  of
• 13:54
  the
• 13:54
  next
• 13:54
  several
• 13:54
  months?
• 13:55
  We
• 13:55
  do
• 13:55
  this
• 13:56
  research
• 13:56
  with
• 13:56
  the
• 13:56
  World
• 13:56
  Economic
• 13:57
  Forum
• 13:57
  on
• 13:57
  the
• 13:57
  AI
• 13:58
  transformation
• 13:58
  of
• 13:58
  industries.
• 13:59
  And
• 14:00
  in
• 14:00
  this,
• 14:01
  we
• 14:01
  did
• 14:01
  this,
• 14:01
  you
• 14:02
  know,
• 14:02
  a
• 14:02
  lot
• 14:02
  of
• 14:02
  interviews
• 14:03
  with
• 14:03
  different
• 14:03
  companies
• 14:04
  in
• 14:04
  the
• 14:04
  industry
• 14:05
  and
• 14:06
  tried
• 14:06
  to
• 14:07
  measure
• 14:07
  their
• 14:08
  progress
• 14:08
  towards
• 14:09
  something
• 14:10
  more
• 14:10
  than
• 14:10
  individual
• 14:11
  experiments
• 14:12
  or
• 14:12
  use
• 14:12
  cases.
• 14:13
  You
• 14:13
  know,
• 14:13
  are
• 14:14
  they
• 14:14
  engaging
• 14:14
  in
• 14:14
  functional
• 14:15
  reinvention,
• 14:16
  actually
• 14:16
  rewriting
• 14:17
  the
• 14:17
  entire
• 14:17
  ways
• 14:18
  that
• 14:18
  say
• 14:18
  merchandising
• 14:19
  top
• 14:19
  to
• 14:19
  bottom
• 14:20
  actually
• 14:20
  work
• 14:21
  all
• 14:21
  the
• 14:22
  way
• 14:22
  through
• 14:22
  to.
• 14:22
  Are
• 14:22
  they
• 14:22
  rewriting
• 14:23
  the
• 14:23
  enterprise?
• 14:24
  You
• 14:24
  know,
• 14:24
  the
• 14:24
  way
• 14:24
  that
• 14:25
  merchandising
• 14:25
  works
• 14:25
  with
• 14:25
  supply
• 14:26
  chain,
• 14:26
  works
• 14:26
  with
• 14:26
  store
• 14:27
  ops.
• 14:27
  And
• 14:28
  right
• 14:29
  then,
• 14:29
  it
• 14:29
  was
• 14:29
  still
• 14:30
  very
• 14:30
  early
• 14:30
  days.
• 14:31
  Everyone
• 14:31
  was
• 14:31
  very
• 14:31
  much
• 14:31
  about
• 14:32
  experimentation.
• 14:33
  What
• 14:33
  I'm
• 14:33
  hearing
• 14:34
  is
• 14:34
  that
• 14:35
  again,
• 14:35
  those
• 14:35
  capabilities,
• 14:36
  like
• 14:36
  we're
• 14:37
  settled
• 14:37
  in
• 14:37
  that
• 14:37
  this
• 14:38
  is
• 14:38
  a
• 14:38
  real
• 14:38
  thing.
• 14:38
  We
• 14:39
  don't
• 14:40
  need
• 14:40
  to
• 14:40
  experiment
• 14:41
  to
• 14:41
  find
• 14:41
  out
• 14:41
  whether
• 14:42
  it's
• 14:42
  real.
• 14:42
  We
• 14:43
  may
• 14:43
  need
• 14:43
  to
• 14:43
  experiment
• 14:43
  to
• 14:44
  be
• 14:44
  able
• 14:44
  to
• 14:44
  learn.
• 14:44
  But
• 14:45
  it's
• 14:45
  time
• 14:45
  to
• 14:45
  get
• 14:45
  to
• 14:46
  actual
• 14:46
  scale
• 14:47
  in
• 14:48
  what
• 14:48
  kind
• 14:48
  of
• 14:48
  results
• 14:49
  we
• 14:49
  can
• 14:49
  achieve
• 14:49
  with
• 14:50
  these
• 14:50
  investments.
• 14:51
  So
• 14:51
  what
• 14:51
  I
• 14:51
  expect
• 14:51
  to
• 14:52
  see
• 14:52
  are
• 14:53
  not
• 14:53
  just
• 14:54
  larger
• 14:54
  scale
• 14:54
  initiatives,
• 14:55
  but
• 14:55
  ones
• 14:56
  that
• 14:56
  touch
• 14:56
  multiple
• 14:57
  parts
• 14:57
  of
• 14:57
  the
• 14:57
  organization,
• 14:58
  completely
• 14:58
  rewriting
• 14:59
  the
• 14:59
  workflows
• 15:00
  of
• 15:00
  a
• 15:00
  given
• 15:00
  process,
• 15:01
  reshaping
• 15:02
  the
• 15:02
  workforces
• 15:04
  and
• 15:04
  reshaping
• 15:05
  people
• 15:05
  into
• 15:05
  new
• 15:05
  roles.
• 15:06
  I
• 15:06
  was
• 15:06
  going
• 15:06
  to
• 15:06
  ask
• 15:06
  that,
• 15:07
  like,
• 15:07
  how
• 15:07
  do
• 15:07
  you
• 15:07
  think
• 15:07
  culturally
• 15:08
  then
• 15:08
  businesses
• 15:09
  will
• 15:09
  look
• 15:09
  or
• 15:10
  shift?
• 15:10
  Like,
• 15:10
  do
• 15:11
  you
• 15:11
  see
• 15:11
  we
• 15:12
  saw
• 15:12
  chief
• 15:12
  AI
• 15:13
  officer
• 15:13
  as
• 15:13
  a
• 15:14
  role
• 15:14
  that
• 15:14
  was
• 15:14
  being
• 15:14
  hired
• 15:15
  on.
• 15:15
  Do
• 15:16
  you
• 15:16
  think
• 15:16
  that
• 15:16
  that
• 15:16
  will
• 15:17
  fall,
• 15:17
  you
• 15:17
  know,
• 15:17
  within
• 15:18
  each
• 15:19
  individual's
• 15:19
  role
• 15:20
  at
• 15:20
  the
• 15:20
  C
• 15:20
  suite
• 15:21
  level
• 15:21
  and
• 15:22
  on
• 15:22
  downward
• 15:23
  or
• 15:23
  how
• 15:23
  do
• 15:23
  you
• 15:23
  think?
• 15:24
  Like,
• 15:24
  what
• 15:24
  will,
• 15:25
  what
• 15:25
  will
• 15:25
  our
• 15:25
  workforce
• 15:26
  look
• 15:26
  like
• 15:26
  at
• 15:26
  the
• 15:27
  major
• 15:27
  retailers
• 15:27
  and
• 15:28
  grocers?
• 15:29
  I
• 15:29
  think
• 15:29
  that
• 15:30
  there
• 15:30
  are
• 15:30
  things
• 15:30
  that
• 15:30
  will
• 15:30
  change
• 15:31
  and
• 15:31
  things
• 15:31
  that
• 15:31
  won't.
• 15:32
  So
• 15:33
  when
• 15:33
  you
• 15:33
  look
• 15:33
  at
• 15:34
  the
• 15:34
  frontline
• 15:35
  workforce,
• 15:35
  there
• 15:36
  will
• 15:36
  still
• 15:36
  be
• 15:36
  a
• 15:36
  large
• 15:37
  frontline
• 15:37
  workforce.
• 15:38
  Stores
• 15:38
  still
• 15:38
  matter,
• 15:39
  you
• 15:39
  know,
• 15:39
  as
• 15:39
  much
• 15:39
  as
• 15:39
  stores.
• 15:40
  We
• 15:40
  talk
• 15:40
  about
• 15:40
  technology
• 15:40
  and
• 15:41
  agentic
• 15:41
  commerce.
• 15:42
  People
• 15:42
  still
• 15:42
  want
• 15:42
  to
• 15:42
  visit
• 15:43
  stores
• 15:43
  and
• 15:43
  that's
• 15:44
  where
• 15:44
  the
• 15:45
  heavy
• 15:45
  volume
• 15:45
  is.
• 15:46
  So
• 15:46
  we
• 15:46
  need
• 15:46
  those
• 15:47
  in
• 15:47
  store
• 15:47
  associates
• 15:48
  to
• 15:48
  be
• 15:48
  there,
• 15:48
  be
• 15:48
  present
• 15:49
  and
• 15:49
  be
• 15:50
  understanding
• 15:50
  of
• 15:50
  who
• 15:51
  their
• 15:51
  customer
• 15:52
  and
• 15:52
  their
• 15:52
  shopper
• 15:52
  is.
• 15:53
  But
• 15:53
  they
• 15:53
  will
• 15:53
  be
• 15:54
  enabled
• 15:54
  in
• 15:54
  a
• 15:54
  different
• 15:55
  way.
• 15:55
  So
• 15:55
  they
• 15:56
  might
• 15:56
  be
• 15:56
  able
• 15:56
  to
• 15:56
  recognize
• 15:57
  me
• 15:57
  when
• 15:57
  I
• 15:57
  come
• 15:57
  up
• 15:58
  or
• 15:58
  at
• 15:58
  least
• 15:59
  have
• 15:59
  as
• 15:59
  much
• 15:59
  information
• 16:00
  as
• 16:00
  I
• 16:00
  do,
• 16:01
  information
• 16:01
  as
• 16:01
  I
• 16:01
  do
• 16:02
  from
• 16:02
  my
• 16:02
  AI
• 16:02
  friend.
• 16:04
  They
• 16:04
  should
• 16:04
  be
• 16:04
  equipped
• 16:05
  with
• 16:05
  that
• 16:05
  same
• 16:05
  knowledge.
• 16:06
  I
• 16:06
  think
• 16:07
  another
• 16:08
  change
• 16:08
  that
• 16:08
  will
• 16:08
  occur
• 16:09
  is
• 16:09
  amongst
• 16:10
  the
• 16:10
  leadership.
• 16:10
  So
• 16:11
  as
• 16:11
  we
• 16:11
  think
• 16:11
  about
• 16:12
  the
• 16:12
  reshaping
• 16:12
  of
• 16:13
  the
• 16:13
  workforce
• 16:13
  and
• 16:14
  removing
• 16:14
  maybe
• 16:14
  some
• 16:15
  of
• 16:15
  those,
• 16:16
  you
• 16:16
  know,
• 16:17
  distributive
• 16:18
  or
• 16:19
  management
• 16:19
  type
• 16:19
  positions
• 16:20
  that
• 16:20
  are
• 16:20
  kind
• 16:20
  of,
• 16:21
  you
• 16:22
  can
• 16:22
  see
• 16:22
  AI
• 16:22
  coming
• 16:22
  in
• 16:23
  to
• 16:23
  enable
• 16:23
  people
• 16:24
  directly
• 16:24
  on
• 16:24
  the
• 16:24
  front
• 16:24
  line.
• 16:25
  So
• 16:25
  you
• 16:25
  cut
• 16:26
  out
• 16:26
  some
• 16:26
  of
• 16:26
  the
• 16:27
  middle
• 16:27
  layer.
• 16:27
  Those
• 16:28
  individuals
• 16:28
  start
• 16:29
  to
• 16:29
  take
• 16:29
  more
• 16:29
  strategic
• 16:30
  roles.
• 16:30
  And
• 16:30
  that
• 16:31
  means
• 16:31
  that
• 16:31
  that
• 16:32
  top
• 16:32
  layer
• 16:33
  of
• 16:33
  leadership
• 16:34
  has
• 16:34
  to
• 16:34
  be
• 16:34
  far
• 16:34
  more
• 16:35
  highly
• 16:35
  skilled
• 16:35
  and
• 16:35
  far
• 16:36
  more
• 16:36
  strategic
• 16:36
  than
• 16:37
  in
• 16:37
  the
• 16:37
  past.
• 16:38
  Wow.
• 16:38
  So,
• 16:39
  Karen,
• 16:39
  if
• 16:39
  I
• 16:39
  wrap
• 16:40
  up
• 16:40
  what
• 16:40
  you
• 16:40
  just
• 16:40
  said
• 16:40
  there,
• 16:40
  if
• 16:41
  I
• 16:41
  try
• 16:41
  to
• 16:41
  summarize
• 16:41
  it.
• 16:42
  So
• 16:42
  like
• 16:42
  the
• 16:43
  world
• 16:43
  I'm
• 16:43
  envisioning
• 16:44
  actually
• 16:44
  is
• 16:44
  where
• 16:44
  you
• 16:44
  have
• 16:44
  a
• 16:45
  lot
• 16:45
  of
• 16:45
  organizations
• 16:45
  that
• 16:45
  are
• 16:46
  process
• 16:46
  mapping
• 16:47
  how
• 16:47
  they
• 16:48
  get
• 16:48
  things
• 16:48
  done
• 16:49
  and
• 16:49
  then
• 16:49
  saying
• 16:50
  where
• 16:50
  can
• 16:50
  the
• 16:50
  AI
• 16:51
  fit
• 16:51
  into
• 16:51
  orchestrate
• 16:53
  versus
• 16:54
  just
• 16:54
  trying
• 16:54
  to
• 16:54
  randomly
• 16:55
  pilot
• 16:55
  different
• 16:55
  improvement
• 16:56
  sites,
• 16:57
  but
• 16:57
  really
• 16:58
  looking
• 16:58
  at
• 16:58
  the
• 16:58
  process
• 16:58
  end
• 16:59
  to
• 16:59
  end.
• 16:59
  So
• 16:59
  I
• 16:59
  see
• 17:00
  like
• 17:00
  a
• 17:00
  lot
• 17:00
  of
• 17:00
  process
• 17:00
  maps
• 17:01
  in
• 17:01
  the
• 17:01
  future
• 17:01
  of
• 17:01
  a
• 17:02
  lot
• 17:02
  of
• 17:02
  leaders
• 17:03
  to
• 17:03
  try
• 17:03
  to
• 17:03
  understand
• 17:04
  how
• 17:04
  do
• 17:04
  we
• 17:04
  get
• 17:04
  more
• 17:05
  efficient
• 17:06
  and
• 17:06
  that
• 17:06
  efficiency
• 17:07
  can
• 17:07
  be
• 17:07
  based
• 17:07
  on
• 17:07
  a
• 17:07
  lot
• 17:07
  of
• 17:08
  things,
• 17:08
  but
• 17:08
  AI
• 17:08
  being
• 17:09
  the
• 17:09
  tool
• 17:09
  to
• 17:09
  do
• 17:09
  that.
• 17:10
  Is
• 17:10
  that
• 17:10
  what
• 17:10
  you're
• 17:10
  saying?
• 17:11
  It
• 17:12
  is
• 17:12
  what
• 17:12
  I
• 17:12
  am
• 17:12
  seeing
• 17:13
  and
• 17:13
  I
• 17:13
  think
• 17:13
  it's
• 17:14
  actually
• 17:14
  a
• 17:14
  suboptimal
• 17:15
  result.
• 17:16
  So
• 17:16
  I
• 17:16
  don't
• 17:17
  know
• 17:17
  if
• 17:17
  either
• 17:17
  of
• 17:17
  you
• 17:17
  have
• 17:18
  ever
• 17:18
  heard
• 17:18
  of
• 17:19
  Eric
• 17:20
  Brynjolfsson.
• 17:20
  He's
• 17:21
  a
• 17:21
  professor,
• 17:21
  he
• 17:21
  was
• 17:21
  at,
• 17:22
  I
• 17:22
  believe,
• 17:22
  mit
• 17:22
  and
• 17:23
  he's
• 17:23
  now
• 17:23
  at
• 17:23
  Stanford.
• 17:24
  Focuses
• 17:24
  a
• 17:24
  lot
• 17:25
  on
• 17:25
  AI
• 17:25
  and
• 17:25
  productivity.
• 17:26
  And
• 17:26
  he
• 17:26
  wrote
• 17:26
  these
• 17:27
  great
• 17:27
  papers
• 17:27
  about
• 17:27
  what
• 17:28
  was
• 17:28
  called
• 17:28
  the
• 17:28
  productivity
• 17:29
  paradox.
• 17:30
  Why
• 17:30
  have
• 17:30
  we
• 17:30
  not
• 17:31
  seen
• 17:31
  productivity
• 17:32
  gains
• 17:32
  from
• 17:33
  these
• 17:33
  new
• 17:33
  technologies
• 17:34
  that
• 17:34
  are
• 17:34
  truly
• 17:35
  transformative?
• 17:35
  And
• 17:36
  he
• 17:36
  tells
• 17:36
  the
• 17:36
  story
• 17:37
  of
• 17:37
  how
• 17:38
  when
• 17:40
  you
• 17:40
  looked
• 17:40
  at
• 17:40
  old
• 17:41
  manufacturing
• 17:42
  plants
• 17:42
  that
• 17:42
  were
• 17:42
  steam
• 17:43
  powered
• 17:43
  and
• 17:43
  you
• 17:43
  tried
• 17:44
  to
• 17:44
  move
• 17:44
  them
• 17:44
  to
• 17:46
  electric
• 17:46
  power
• 17:46
  generation,
• 17:47
  they
• 17:47
  did
• 17:48
  not
• 17:48
  see
• 17:48
  the
• 17:48
  efficiency
• 17:49
  gains
• 17:49
  at
• 17:50
  first
• 17:50
  because
• 17:50
  they
• 17:50
  had
• 17:51
  not
• 17:51
  changed
• 17:51
  the
• 17:52
  way
• 17:52
  that
• 17:52
  the
• 17:52
  work
• 17:52
  was
• 17:53
  being
• 17:53
  done.
• 17:54
  Electric
• 17:54
  can
• 17:55
  be
• 17:55
  distributed
• 17:55
  versus
• 17:56
  central,
• 17:56
  so
• 17:56
  you
• 17:56
  could
• 17:56
  actually
• 17:57
  break
• 17:57
  up
• 17:57
  the
• 17:57
  manufacturing
• 17:58
  and
• 17:58
  get
• 17:58
  these
• 17:58
  productivity
• 17:59
  gains.
• 17:59
  We're
• 18:00
  seeing
• 18:00
  the
• 18:00
  same
• 18:00
  thing
• 18:01
  in
• 18:01
  the
• 18:01
  work
• 18:02
  really
• 18:02
  of
• 18:02
  Free
• 18:02
  Tail,
• 18:03
  where,
• 18:04
  you
• 18:05
  know,
• 18:05
  the
• 18:05
  industry
• 18:05
  is
• 18:06
  exactly
• 18:06
  doing
• 18:06
  what
• 18:06
  you're
• 18:07
  describing,
• 18:07
  taking
• 18:08
  existing
• 18:08
  processes
• 18:09
  and
• 18:09
  trying
• 18:09
  to
• 18:09
  optimize
• 18:10
  them.
• 18:11
  And,
• 18:11
  and
• 18:11
  that's,
• 18:12
  that
• 18:12
  doesn't
• 18:12
  actually
• 18:13
  capture
• 18:13
  the
• 18:13
  capabilities
• 18:14
  of
• 18:14
  what
• 18:15
  we're
• 18:15
  moving
• 18:15
  towards,
• 18:16
  which
• 18:16
  are
• 18:16
  these
• 18:16
  agents
• 18:17
  that
• 18:17
  completely
• 18:17
  rewrite
• 18:18
  the
• 18:18
  workflows
• 18:19
  into
• 18:20
  something
• 18:20
  new.
• 18:20
  They
• 18:20
  find
• 18:21
  the
• 18:21
  most.
• 18:21
  There
• 18:21
  isn't
• 18:21
  a
• 18:22
  process.
• 18:22
  You
• 18:22
  have
• 18:22
  to
• 18:22
  redevelop
• 18:23
  the
• 18:23
  entire
• 18:23
  flow.
• 18:24
  You
• 18:24
  have
• 18:24
  to
• 18:24
  remap
• 18:25
  the
• 18:25
  entire
• 18:25
  flow.
• 18:25
  And
• 18:26
  recognize
• 18:26
  that
• 18:26
  the
• 18:26
  agents,
• 18:27
  because
• 18:27
  they
• 18:28
  themselves
• 18:28
  are
• 18:28
  quote,
• 18:28
  unquote
• 18:29
  thinking,
• 18:30
  are
• 18:30
  actually
• 18:30
  mapping
• 18:30
  their
• 18:31
  own
• 18:31
  process
• 18:32
  in
• 18:32
  the
• 18:32
  most
• 18:32
  optimal
• 18:33
  way
• 18:33
  each
• 18:33
  time.
• 18:34
  Right.
• 18:35
  Wow.
• 18:36
  We're
• 18:36
  gonna
• 18:36
  have
• 18:36
  you
• 18:37
  back.
• 18:37
  Oh,
• 18:37
  my
• 18:37
  God.
• 18:37
  That
• 18:37
  was
• 18:37
  so
• 18:38
  good.
• 18:38
  All
• 18:38
  right.
• 18:38
  This
• 18:39
  is
• 18:39
  so
• 18:39
  great.
• 18:39
  I
• 18:39
  love
• 18:39
  this.
• 18:40
  Well,
• 18:41
  thank
• 18:41
  you
• 18:41
  so
• 18:42
  much
• 18:42
  for
• 18:42
  giving
• 18:43
  us
• 18:43
  your
• 18:43
  time,
• 18:44
  your
• 18:44
  insights
• 18:45
  today.
• 18:45
  Thank
• 18:46
  you
• 18:46
  again
• 18:46
  to
• 18:46
  Simbi
• 18:47
  for
• 18:47
  helping
• 18:47
  us
• 18:48
  bring
• 18:48
  you
• 18:48
  all
• 18:48
  of
• 18:48
  our
• 18:49
  coverage
• 18:49
  from
• 18:49
  FMI
• 18:50
  today.
• 18:50
  You
• 18:51
  can
• 18:51
  stop
• 18:51
  by
• 18:51
  and
• 18:51
  see
• 18:52
  us
• 18:52
  in
• 18:52
  booth
• 18:52
  118.
• 18:53
  We'll
• 18:53
  be
• 18:53
  here
• 18:54
  all
• 18:54
  day.
• 18:54
  And
• 18:55
  until
• 18:55
  our
• 18:55
  next
• 18:56
  interview,
• 18:56
  be
• 18:56
  careful
• 18:57
  out
• 18:57
  there.