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AI Could Make Supply Chains Smarter But Not Disaster-Proof

October 22, 2025 / 10:27

This episode discusses the impact of a recent fire at an aluminum plant in New York on the automotive supply chain, the lessons learned from the pandemic, and the role of artificial intelligence in future supply chain management.

Gad Alon, a professor at the Wharton School, explains that the fire affected 40% of aluminum supply for U.S. manufacturers, leading to long recovery times and adjustments in production priorities for automakers.

He highlights that companies must rethink their supply chain strategies, balancing cost efficiency with resilience, especially after the disruptions caused by the pandemic.

Alon also addresses the potential of artificial intelligence in supply chains, suggesting it can improve predictive capabilities and inventory management, although it cannot prevent all risks.

Finally, he emphasizes the importance of learning from historical supply chain successes and failures, advocating for a more robust approach to supply chain management moving forward.

TL;DR

Gad Alon discusses supply chain challenges post-pandemic and the impact of a fire on aluminum supply for automakers.

Episode

10:27
00:00:00
Recently, an aluminum plant in New York
00:00:03
State caught fire, destroying a large
00:00:05
section of the facility. That plant was
00:00:08
a supplier to several automakers in the
00:00:10
development of their vehicles. Events
00:00:12
like that and others have an impact on
00:00:15
the supply chain and force companies to
00:00:17
have to make adjustments. Of course, the
00:00:19
pandemic really challenged the supply
00:00:22
chain and forced many entities around
00:00:24
the supply chain to rethink how they
00:00:27
would operate on a daily basis. As for
00:00:29
where we are at the moment when we think
00:00:31
about supply chain, pleasure to welcome
00:00:33
in Gad Alon who is a professor of
00:00:36
operations, information and decisions
00:00:38
here at the Wharton School. Gad, great
00:00:40
to catch up with you again.
00:00:41
>> Yeah, great to be here. Then
00:00:43
>> what do you think is the general state
00:00:45
uh of supply chain right now and and
00:00:48
what did the pandemic teach companies
00:00:51
about their supply chains?
00:00:53
>> It's a it's a great question and two
00:00:54
different question and one question. I
00:00:55
will say most supply chains are are I
00:00:59
won't say deep trouble that that's that
00:01:01
will be probably an exaggeration but
00:01:02
there are still there are suffering from
00:01:05
some implication of what started even
00:01:07
before the pandemic which is you know
00:01:08
more and more issues that are more and
00:01:10
more frequent from climate to
00:01:12
geopolitical risk to demand fluctuations
00:01:16
to suppliers having issues to now you
00:01:19
you add tariffs to that and then so most
00:01:21
firms are are struggling to just get
00:01:24
their supply chain to stabilize
00:01:27
but then you have continuously the other
00:01:28
issues that just happened and that's of
00:01:30
like the the fire that you're describing
00:01:31
is just an illustration of one more
00:01:33
issue that one needs to prepare for.
00:01:35
>> Okay. So for the automakers that uh did
00:01:39
get aluminum supply from that plant, how
00:01:41
are they adjusting to not having that
00:01:44
access that they've had or and are used
00:01:46
to having for such a long period of
00:01:48
time?
00:01:49
>> Yeah, I think so for many of them I
00:01:50
think that's going to take a very very
00:01:52
very long recovery and and I think
00:01:54
that's to some extent really the the
00:01:56
first question. So just to get the
00:01:57
numbers right so 40% of the aluminum to
00:02:00
US manufacturers come from that plant.
00:02:03
So we might ask why do we have such a
00:02:05
concentration in one place but then my
00:02:08
understanding is only Q1 in 2026 they
00:02:11
will be able to recover back to
00:02:14
the full capacity and even then it's
00:02:16
questionable. So here multiple things
00:02:18
need to happen. So the first thing is
00:02:20
many places many of these manufacturers
00:02:21
will have to think about we like what we
00:02:23
like to call time to recovery. How long
00:02:25
will it take until they can recover? And
00:02:27
then you start rationing. You start
00:02:29
saying, "Okay, which models are going to
00:02:32
get the aluminum they need and which
00:02:33
models not so much." But you remember in
00:02:36
during the COVID days, one of the things
00:02:38
that we had shortage of were
00:02:39
semiconductors
00:02:41
chips. And there what you saw is that
00:02:44
most manufacturers prioritized more
00:02:46
expensive models. So Audi prioritized Q7
00:02:49
and and Toyota prioritized the Lexus and
00:02:52
the like. And and so that's potentially
00:02:54
what we're going to see. We might see
00:02:56
cascading effects of suppliers that are
00:02:58
now going to get, you know, fewer orders
00:03:01
and now they're going to reduce their
00:03:04
manufacturing only to get caught back
00:03:06
again where the aluminum is going to be
00:03:08
back at capacity. Firms are currently
00:03:10
probably scrambling to find spot markets
00:03:12
that as we know has implication on price
00:03:16
as well. So what you'd expect is
00:03:18
expensive models will become potentially
00:03:20
more expensive, cheap models to either
00:03:21
not exist or becoming expensive.
00:03:24
It will take a while for for this market
00:03:26
to recover or what we're going to see is
00:03:28
is those who actually were impacted will
00:03:31
have to shrink their margins while those
00:03:32
who are not impacted will be able to
00:03:34
actually gain market share. Let me go
00:03:36
back to something you said at the
00:03:37
beginning of that answer and about the
00:03:39
fact that such a a large percentage of
00:03:42
the supply is in one location. So
00:03:45
obviously that's something that needs to
00:03:46
be looked at as well when you think
00:03:49
about we're talking about a period of
00:03:50
time of growth in this economy right now
00:03:54
that there needs to be a consideration
00:03:56
of not only repairing the facility that
00:03:59
was damaged by fire but looking at
00:04:01
another facility the potential of a
00:04:04
larger buildout uh in this sector.
00:04:07
>> Right. So I think that goes back to what
00:04:09
something you asked me in the beginning
00:04:10
which is what did we learn from the the
00:04:13
pandemic and and I'm sad to say nothing
00:04:16
but it's not that
00:04:19
we didn't try to learn there's just a
00:04:21
inherent trade-off between resilience
00:04:23
and cost cost efficiency and one of the
00:04:27
things that many CEOs came out of COVID
00:04:30
is with the idea that we need to build a
00:04:32
more resilient supply chain but most of
00:04:34
them do not understand or don't
00:04:36
appreciate the fact that to build a more
00:04:38
resilient supply chain you need to to
00:04:40
increase costs. You need to have excess
00:04:41
capacity. You need to have redundancy.
00:04:43
You need to have many a small
00:04:45
overlapping plans rather than one big
00:04:47
ones.
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The main reason that we have such a
00:04:50
concentrated risk in one place is that
00:04:52
firms optimize for economies of scale as
00:04:55
a way to reduce cost. They try to
00:04:57
optimize for quality and compliance and
00:05:00
it's very hard to qualify multiple
00:05:01
suppliers. You try to be just in time.
00:05:04
So you try to concentrate everything in
00:05:05
one location. All of these are best
00:05:07
practices if what you try to do is
00:05:09
reduce cost. This is not what you try to
00:05:11
do when you try to be more resilient.
00:05:13
But as long as the customer still wants
00:05:15
cost and unwilling to pay for
00:05:17
resilience, that's what we're going to
00:05:18
get.
00:05:20
>> How will artificial intelligence play a
00:05:22
role in supply chains as we move
00:05:24
forward?
00:05:25
>> Yeah. So it's a great question.
00:05:29
As we know, AI is the solution for
00:05:30
everything.
00:05:32
Well, not so much. So, AI cannot prevent
00:05:35
the the fire. I don't think so at least.
00:05:38
But it can prevent concentration. It can
00:05:41
help. You know, one of the things that
00:05:42
has been always the big promise is this
00:05:44
notion of digital twin. And digital twin
00:05:47
is the idea that you can actually run
00:05:48
continuously simulation real time and
00:05:50
understand the implication of everything
00:05:51
you do. These are what very very hard to
00:05:54
build and underutilized because most
00:05:56
humans just do not understand the
00:05:57
implication of what they see. And but
00:06:00
now we're going to see more and more AI
00:06:01
agents run supply chains and we're still
00:06:03
a few years away from that. But there
00:06:04
are already firms that are developing AI
00:06:07
agents. Then these AI agents are are
00:06:09
actually capable of saying that. So we
00:06:11
might see inventory that's more
00:06:12
strategic and more in better places.
00:06:14
It's trying to understand the
00:06:15
implication of this longtail
00:06:18
implications. So you know we're not
00:06:19
preparing for a fire, but we should
00:06:21
prepare for the fact that 40% of our
00:06:23
supply is going to come from one
00:06:25
location and and maybe we we may want to
00:06:28
hedge that. maybe. So I think AI is
00:06:31
going to make us more predictive so
00:06:33
easier to predict things. It's going to
00:06:34
be easier to try to orchestrate things
00:06:37
and potentially also do more preventive
00:06:40
maintenance and predictive maintenance
00:06:41
and and and so that's and and that
00:06:43
potentially may prevent some of these
00:06:44
longtail events. We cannot prevent
00:06:46
tariffs but we can prevent some of these
00:06:48
things. And I think the other side to
00:06:50
this is that you know so many of the
00:06:52
stories around supply chain obviously
00:06:54
because of the pandemic and and
00:06:56
recovering from the pandemic have been
00:06:57
negative and the excess cost and and the
00:07:00
negative impact that you know we've seen
00:07:02
because of supply chains. If you flip it
00:07:05
the other way, thinking about how
00:07:08
positive a strongly run, efficiently run
00:07:12
supply chain, what that can mean to not
00:07:15
only economies but to cultures around
00:07:18
the globe.
00:07:19
>> Yeah. So that's a it's a great question
00:07:22
to some extent. I mean I think it's a
00:07:24
there there are two sides again to that
00:07:26
story. One is that of course we read
00:07:28
only negative things because it's a
00:07:30
little like okay you don't read about a
00:07:32
great defense. you read about great
00:07:34
difference only when about difference
00:07:35
only when they many there are many goals
00:07:37
scored on them that's a story of of
00:07:39
supply chain but you're right I mean I
00:07:41
think firms cultures that managed to
00:07:43
actually build robust supply chain meant
00:07:45
that they actually you know I mean let
00:07:48
me just tell a very very simple I mean
00:07:50
you know very simple story which is you
00:07:52
know you have to go you can go back to
00:07:53
World War II and and you realize that
00:07:55
the countries that had better industrial
00:07:57
base with better supply chain those are
00:07:59
the ones that managed to ultimately win
00:08:01
the war. It was not just about having
00:08:04
being able to have the best army, but
00:08:05
the best army that can actually
00:08:06
replenish very very quickly its supply
00:08:08
and and so I think we we are many years
00:08:10
away from that and so we forgot many of
00:08:12
these lessons and and and I think we we
00:08:14
are start trying to relearn some of that
00:08:16
now. COVID was a route awakening for
00:08:18
many but but not apparently not for
00:08:20
everybody and and definitely at that's
00:08:23
at least where we see at the federal
00:08:24
level some awareness now for that topic
00:08:27
but again it's it's exactly as you say
00:08:29
it's usually through negative stories
00:08:31
not through positive stories. So then
00:08:32
how should companies think about supply
00:08:34
chains right now having gone through
00:08:37
everything that they've gone through in
00:08:38
the last few years but thinking about
00:08:40
the next 15 to 20 years about being as
00:08:43
effective as they possibly can because
00:08:46
it obviously is something that's going
00:08:47
to impact their bottom line.
00:08:49
>> Yeah. So I think I'm I'm it's
00:08:51
interesting you know the the best
00:08:53
example for that and and I think the
00:08:54
firm that you'd expect everybody to try
00:08:56
to copy is Amazon right and Amazon
00:08:58
understands supply chain almost like
00:09:00
better than anyone else Amazon and
00:09:01
Walmart and but Amazon specifically
00:09:03
Amazon has a good website but it's not
00:09:05
such a great website but the main thing
00:09:07
is that when you order from Amazon
00:09:09
something today you will get it today
00:09:11
and if you order it and you're willing
00:09:12
to pay you might get even within a few
00:09:14
hours and within a few minutes and
00:09:17
Amazon is definitely a firm that I mean
00:09:20
the amount of cash in their supply chain
00:09:21
is then used to fund the rest of the
00:09:23
business and every customer Amazon
00:09:26
Amazon customer is is an Amazon customer
00:09:29
not because how well the website is run
00:09:31
that's great that they have everything
00:09:32
but you have they have everything and
00:09:33
you'll get everything and so you'd
00:09:36
expect more firms to understand that you
00:09:37
can actually be both resilient and agile
00:09:40
and cheap at the same time if you just
00:09:43
continuously think about how do you
00:09:44
improve everything, how do you integrate
00:09:46
everything, how do you make sure that
00:09:47
there
00:09:48
constant loop and you continuously try
00:09:50
to optimize for both proximity and cost
00:09:53
and and and it's possible but it
00:09:55
requires a constant effort to do that
00:09:56
and we just don't see firms most firms
00:09:59
have the share of mind of leadership
00:10:01
into doing that Gad great to talk to you
00:10:04
again thanks very much for your time and
00:10:06
your insight today all the best always
00:10:08
great to be here thank you Gatalon
00:10:10
professor of operations information and
00:10:12
decisions here at the Wharton

Episode Highlights

  • The Impact of Supply Chain Disruptions
    Recent events like a fire at an aluminum plant highlight vulnerabilities in supply chains.
    “Most supply chains are suffering from implications of what started even before the pandemic.”
    @ 00m 55s
    October 22, 2025
  • Resilience vs. Cost Efficiency
    Gad Alon discusses the trade-off between building resilient supply chains and managing costs.
    “To build a more resilient supply chain, you need to increase costs.”
    @ 04m 32s
    October 22, 2025
  • AI's Role in Supply Chains
    Gad Alon explores how AI can help improve supply chain management despite its limitations.
    “AI cannot prevent the fire, but it can help prevent concentration.”
    @ 05m 35s
    October 22, 2025
  • Lessons from History
    Gad Alon draws parallels between supply chains and historical events, emphasizing their importance.
    “The countries with better supply chains managed to win the war.”
    @ 07m 57s
    October 22, 2025
  • Balancing Resilience and Cost
    Gad Alon explains how companies can achieve resilience, agility, and cost-effectiveness in supply chains.
    “You can actually be both resilient and agile and cheap at the same time.”
    @ 09m 40s
    October 22, 2025

Episode Quotes

  • Most supply chains are suffering from implications of what started even before the pandemic.
    AI Could Make Supply Chains Smarter But Not Disaster-Proof
  • To build a more resilient supply chain, you need to increase costs.
    AI Could Make Supply Chains Smarter But Not Disaster-Proof
  • AI cannot prevent the fire, but it can help prevent concentration.
    AI Could Make Supply Chains Smarter But Not Disaster-Proof
  • The countries with better supply chains managed to win the war.
    AI Could Make Supply Chains Smarter But Not Disaster-Proof
  • You can actually be both resilient and agile and cheap at the same time.
    AI Could Make Supply Chains Smarter But Not Disaster-Proof

Key Moments

  • Supply Chain Fire00:03
  • Pandemic Challenges00:19
  • Resilience vs Cost04:32
  • AI in Supply Chains05:22
  • Historical Lessons07:57

Words per Minute Over Time

Vibes Breakdown

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