How I Used AI to Decode Tariff Chaos

Tariff news changes by the hour, and freight pros can’t afford to fall behind. In this solo episode, Blythe shares how she used AI tools to get smart on global trade policy fast and prep for a talk on tariffs with real confidence. 

From building a research system to generating a podcast from her notes, Blythe walks through the AI workflows that helped her synthesize thousands of data points, spot trends, and understand what global trade shifts actually mean for the industry. 

Key takeaways: 

• Tariff policy is evolving fast, and freight professionals need a plan to keep up 
• AI tools like Grok, ChatGPT, and NotebookLM help filter, summarize, and structure complex research 
• Building a central repository of information is key to staying informed and ready to act 
• AI won’t replace your job, but someone using AI will 
• Turning research into shareable content helps you become the go-to resource in your niche

Listen to learn how to use AI to understand and explain global trade chaos before it impacts your business.

LINKS:

• GPU Loopholes, Mexico Supply Chain Shift, Wafer Fab Equipment Vulnerabilities, Optical Module Pricing Surge, Datacenter Equipment
• Tariff Shockwave: US Import Bookings Collapse After Q1 Surge

Feedback? Ideas for a future episode? Shoot us a text here to let us know.

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Episode Transcript

Blythe Brumleve (00:05):
Welcome into another episode of everything is
logistics, a podcast for thethinkers in freight. I am your
host, Blythe Milligan, and weare proudly presented by SPI
logistics. And in this episode,I want to talk about how you can
use AI to sort through tariffdrama. Now these two topics,
tariffs and AI, it feels likethe news cycle for these two

(00:27):
industries, or tools orpolicies, whatever you want to
call it feels like this newscycle changes on the hour every
hour. It's really challengingfrom a personal perspective, in
order to keep up with it all.
But for this episode, I wantedto talk about the real world
examples of how I use thesedifferent AI tools in order to
help prep for a talk on tariffsin about a week's time. Now, I

(00:50):
have worked in logistics in somecapacity over the last 15 years,
but even this topic of tariffsand global supply chain,
geopolitical tensions, thehistorical context is around all
of them. It is a veryintimidating subject to learn
about or try to dive into. Andwith the news cycle changing so

(01:14):
much on it, I said to myself, Igotta get a hold of this thing.
I gotta get my arms around it,and what is the best way to do
that. And so in this episode,I'm going to be breaking down
the process that I used toprepare for that talk on tariffs
and how it's affecting theglobal supply chain, which I
gave that talk earlier today. Sowhile everything is still fresh
in my mind, I want to be able tobreak down the process in which

(01:36):
I helped disseminate some of theinformation sources, and even
more sources that I even had, inorder to get a full picture on
what's going on and why thisshould interest you is because,
if you work in freight, you workin logistics, it's your job to
understand these things too, andeven to a higher extent, being

(01:58):
able to take this insight andtake this knowledge and be able
to share it with your customersand with your leads, and really
with your colleagues as well. Sothen that way, you can prove
that you are a subject matterexpert on this particular topic.
I'm going to borrow acomparison, or, I guess, an
insight tip. Friend of the show,Grace Sharkey, she was on

(02:21):
LinkedIn recently, and wastalking about, you know, the
impacts of, you know, AI, Idon't want to say bots, but you
know, companies that haveimplemented different calling
systems, calling structures,especially around like AI, bots
that can handle, like salescalls for you, customer support,
tracking, load, updates, thingslike that. Those bots are

(02:45):
increasingly handling that partof your job. Theoretically, it
should open your role up more sothat you can focus on the things
that are going to be moreimpactful, that are going to be
more especially impactful foryour customers. So the example
that she used was, if I'm afreight broker and I'm moving
lumber, I want to know howtariffs and how global trade

(03:07):
policy is going to impact thecommodity that I care about the
most, and if my brokeragepartner, if my freight broker,
if my freight forwarder, is notkeeping up with the commodity
that I as a customer care aboutthe most, then why do I even
have you as a partner? I want togo find somebody else. That is,
you have access to all of thesame AI driven tools, but you're

(03:27):
not using that time to keep mybusiness focus in your you know,
at the front burner instead ofin the back burner. So
positioning yourself as afreight broker, or as a freight
forwarder, or just, you know, anexecutive that's working in
logistics, showing that you cankeep on top of the latest news
so that your customers aren'tasking for this information, you

(03:51):
can be more proactive about thatprocess. And so that's what this
show is going to cover, is theprocess behind information
collection, informationdissection, and then reporting
that information to youraudience, to position yourself
as a subject matter expert inthat particular realm, so you
can win more business and keepthe business that you have,

(04:13):
especially in a challenging ortight market, which is what we
find ourselves, what we havefound ourselves in over The last
year and a half or so, andprobably going to be in for the
foreseeable future. Anotherthread that I kind of want to
pull on for this discussion isrecently the CEO Toby. I'm
blanking on his last name, butthe CEO of Shopify, Toby had

(04:34):
recently put out a companyannouncement and then made it
public that his company is AIfirst all of the employees
within the company. You are notallowed to hire someone new or
ask for more resources until youprove that you cannot get what
you need to get done without AI.

(04:55):
And so I think that that is areally pivotal shift for me.
Your company to take andpublicly take it. And so Shopify
is not going to be the first ornot going to be the last company
to make an announcement likethis. They might be the first
one to publicly announce it, butthey're not going to be the last
one to have this initiative inplace, because lots of things

(05:17):
are getting disrupted,especially in the age of AI, and
especially in the world ofglobal trade and tariffs. And so
I thought that was a goodexample to to start thinking
about what your processes looklike, defining them. Many
organizations don't even definewhat their processes look like,
but also being prepared to ripthose processes out and start

(05:37):
fresh with some of these more,you know, coming to the, I
guess, the center stage of someof these AI tools, such as grok
notebook, LLM or not, LLM,notebook, LM. And then, of
course, you have your chatgptand anthropic and all of the
rest. So we have a perfect usecase to start with this. And I

(05:58):
want to talk about the process.
So the system you first thingsfirst is you have to think about
the system in which you collectinformation. And I'm talking
about when you're scrollingLinkedIn, when you're scrolling
Twitter, slash x, when you getan email, all of these different
data sources of where you'rescrolling. You need to have a
central place where you canstore different nuggets of

(06:19):
information, and how you storethat information matters a lot.
You don't want to have 17different places where you have
bookmarks, because if you havethat information all spread out,
then you're not going to be ableto compile it into a centralized
place so you can actually learnfrom it and take action on that
data or on that insight. And sothe first step in your process,

(06:42):
you have to develop one thingthat's going to work for you.
Now this is a process that Ihave changed and ripped out and
started fresh and started newseveral different times over,
but my main strategy of what Iuse is I'm scrolling on X slash
Twitter a lot. I am a payingmember, so I have access to
Bookmarks. I don't know ifbookmarks is a paid feature or

(07:03):
not, but that is the that's thesystem where I get the
overwhelming majority of my newsis on x. And so I have a system
inside of my bookmarks where Ihave different topics that I
regularly cover, marketing. Aisource to porch all of these
different story ideas. I havefolders for each of them, and

(07:24):
anytime I find somethinginteresting, I save it to that
particular bookmarked folder.
Now another method that I use isin my email, because the
majority of the things that I orI guess I should say the way
that I scroll the internet, theeasiest way for me to store
those ideas outside of Twitterslash x is that I email it to

(07:45):
myself, so I have emails that Iwill email to myself, and I'll
just continuously reply to thatsame email, especially if it's a
centralized theme, tariffs is aperfect example. I was giving a
talk on tariffs. Originally thetalk was supposed to be supply
chain trends for 2025 and thatquickly changed to tariffs and

(08:07):
how it impacts supply chains.
And so, as somebody who I'veworked in this industry for, you
know, like I said, 15 plus yearsand so, but that's still a level
of education that I am not1,000% sure on my educational
level, or knowledge expertise,inside, whatever you want to
call it, there's alwayssomething to learn. And so with
that particular, I guess, sectorof logistics, I found myself

(08:30):
really weak on knowledge basewise. And so being able to have
a system where I email myselfspecifically, this is what we're
going to be talking about,supply chain. It was a tariffs
and global supply chain trends.
So that was an email that Iemailed to myself the show
breakdown. I was lucky enough toget, you know, a couple of

(08:52):
overview questions of what wewere going to cover in the talk.
And so I had that as sort of thebasis of the first email that I
sent to myself. Then over thecourse of the last, say, 10 days
or so, with all of this tear ofdrama coming out, it was an
email that I just consistentlyif I found something on Reddit,
if I found something onLinkedIn, if it was an email, I
click on the View and browserand I save all of those URLs. I

(09:15):
save them all either to Twitterslash x, or I email them to
myself so that that way, I'mdeveloping my own sort of data
repository where I can go backto for and that will be
important for the next step. Andso having all of that
information saved up it itreally was key to take the next

(09:37):
step, and that is makingcollecting all of the
information is one aspect, butthen putting all of that
information into a centralizedplace to to compile a research
report is that next step, andthen that's where a lot of these
different AI tools come intoplace. So I guess maybe it would
be helpful to share my screen inthis regard. So let me go ahead.

(10:00):
And share my screen for thosewho are listening out, describe
it what you see on the screen.
So let me bring up this firstanalysis that I found, which it
comes from, semi analysis thewebsite and brand they I've only
recently discovered them, butthey put out some really, really
good in depth insight. I mean,just look at the table of

(10:21):
contents here on the left handside of the screen. I mean
dozens of topics that you canquickly jump around to. I mean,
it's talking like key exclusionsin Trump's executive order,
board level and rack assemblyfor Nvidia and its partners, the
ups, system switch gear, dieselgenerators, transformers, air
cooled chillers, all of thesedifferent things that are

(10:41):
talking about the ultimate artor not the ultimate, but the
title of the article, and that'stariff Armageddon, GPU
loopholes, Mexico, supply chain.
Shift all of these differentreports into this research
report by semi analysis. It's sothis is such a great resource,
especially when they do globalinsights for specifically around

(11:05):
trade. You can see how long thisarticle is, and so this is free
or on their site. I'll link itin the show notes, but it's
semianalysis.com and it talksabout tariff Armageddon, but
that's one of the sources that Iuse like so, for example, this
is a lot of information already,and so what I've done is I've
saved that URL and compiled itinto a list, into either my

(11:29):
bookmarks on X or I emailed itto myself. In this case, I
emailed this article to myselfso that way I can read through
it when I get a chance. Ortaking the next step, let me
show you another InformationResource really quick before we
talk about the next step, andthat's data that comes from
vision. Now, for people whodon't know who vision is, it's

(11:49):
V, I, Z, I O N, they create alot of really great analysis.
They're a visibility softwareplatform, but they create a lot
of really, really good analysistoo. And so if you're looking on
a screen right now, they have alot of resources that you can
check out on their website. Iwill link to that again, but you
know, just different graphstalking about how a lot of
shippers, or a lot of customers,in the first quarter of this

(12:12):
year, they front loaded a lot oftheir shipments, meaning that
they ordered them well inadvance, ahead of the tariff
announcements that took place onApril 2. And so what they did is
they ordered a heck of a lot ofgoods, a lot more than what they
used to. I think some of visionsdata said it was a 70% increase
year over year for the amount ofbookings in the month of

(12:33):
January. And January alreadysees an increased amount of
bookings, especially forSoutheast Asia countries,
because, um, China has theirChinese New Year, and that
happens typically around the endof January, and so there's lot
of front loading, of orderingthat goes on during that time
frame anyways, but inanticipation of Trump's tariffs

(12:54):
and the the tariff policy andjust sort of the we don't know
what the hell is going to happenmindset, that is where, you
know, tools like vision canreally come into play, and they
can show you what kind of movesare being made, and they're
sharing that data on their siteas well. So this is another one
of the sites that I bookmarkedand saved. And so after you have

(13:15):
that system of saving all ofyour informational resources,
then it comes time to the nextstep, and so I've been leading
to it for a minute now. So letme share with you inside of
grok, which is located on X'splatform, slash Twitter. I get
tired of saying slash Twitterevery five seconds, so I'm just
going to say x from here on, outmuscle memory. I have to start

(13:37):
developing that muscle memory tosay x instead of Twitter. I
think I've held out a little toolong on keep, you know, just the
the phrase of like, keep callingit Twitter. Twitter is such a
better name than x, anyways. Butthat's another story. Okay, so
you can see on the screen rightnow that this is, I'm inside of
grok, and these were the topicquestions. So sort of the

(13:58):
overview of the discussion thatwas that I participated in
today, and I wanted to make surethat I used all of my resources
and all of my research that Ihad been gathering in order to
center that data and thatresearch around these key
questions and these keyinsights. And so using grok, I

(14:18):
was able to prompt it to say,help me prepare for this podcast
interview while covering thesupply chain trends that are
currently being impacted betteror worse by the latest tariff
drama, along with reasons whyall of the world's manufacturing
is located, mostly in China, whostands to benefit from that
manufacturing dominance leadingthe country. And then I said,
Please also include insight inquotes learned from these tweets

(14:38):
and its media. And so these wereall of the bookmarked tweets
that I had. And these are notjust bookmark tweets, but also
YouTube videos, which has beenhugely helpful in preparing for
this discussion and justpreparing for my overall sort of
mindset. So there is about 30links here that I. Had saved

(15:01):
that I wanted Grox deep researchtool, which now they have a
deeper research tool. Instead ofjust deep research, it's deeper
research, and I instructed it tolook at all of these different
links and then compile differentstats and quotes interesting
takeaways centered around thosefour general overview questions
of the talk that I was going tobe participating in. And look

(15:23):
what it went through. It wentthrough 119
different sources during duringthe deeper research, not only
the sources that I added, butalso additional sources, about
90 additional sources that itadded, and it created this
entire research report. I'mtalking hundreds, probably 1000s
of words here, that can give mean overall view, but then also a

(15:48):
breakdown, which is, I think,really helpful, especially for
someone in the role that I am,where I'm talking on a screen
just like this, but I have notesoff to the side that I like to
reference. And so being able tocompile, I mean, I can't,
exactly like, look at paragraphsand paragraphs of text and make
it an engaging show, or make itan interesting that would be

(16:08):
super boring and just notreally, you know, not exciting
to listen to. I don't know thatI would want to see that. I want
people to cut to the chase intheir podcast interviews and or
podcast conversations. And sothis was a way to help make a
cheat sheet for myself, to havethose topic overviews of what we
were going to be talking aboutin the conversation, and then
all of the research that wasgiven. Now I took that same

(16:33):
prompt and I added it into chatGPT. Chat GPT also has a deep
research tool, but I happen tofind that in my specific sort of
anecdotal experience, that grokis much better at doing the deep
research reports, but chatgpt ismuch better at putting it into a

(16:55):
much more reader friendlydocument. And so you can kind of
see the difference in so sameprompt, if you're watching on
the screen right now, so sameexact prompt, all of the same
links, chat. GBT did go throughand like, ask me a couple follow
up questions, just, I don't knowwhy, Groff didn't ask me that,
but went back through and Ianswered those for to use key

(17:18):
takeaways and quotes from thetweets and YouTube videos to
help answer the podcastinterview questions and topics.
I also asked for a detailedbriefing to help me explain the
nuance, the history, how supplychains function before and where
they're moving to now and thenew global trade agenda. And I
wanted both global impact and USversus China outcomes. And so it

(17:39):
took about 10 minutes to puttogether this deep research
report, and so it made thisentire report. Now the only
thing I kind of could gripeabout is that it used some of
the links that I sent it, but itdidn't use all of them. It used,
let's see, 123, it used aboutfour, four of the links that I

(18:00):
sent it, and that's a littlefrustrating on my end, because
if I'm going through the processof reading through all of the
news on a daily basis and savingthe things that I think that are
the most important that that'swhat I want you to sort through.
First, from an AI toolperspective, chatgpt didn't
necessarily do that. They have alot of sources from Reuters?

(18:21):
Reuters, yeah, it's, I thinkit's, that's how you pronounce
it, as Reuters and a lot ofother sites, like, what is this?
Crypto pollen, Doc, some ofthese links I just, I, I
wouldn't pick them as a source.
So how chat GPT pick those as asource? I don't know, but it put
together this entire researchreport, and so you can kind of

(18:42):
see, if you're watching on thescreen, this is 1000s of words,
and based on and I was I atfirst i the the first response
that I gave was based on allthis research. Create a set of
five to seven bullet points withstats and quotes for each of
these questions. So I kind ofhad to prompt it again in a
different way. Like, okay, look,you went through all of the work

(19:03):
of getting all of and compilingall of that information, but it
still didn't help me get to mygoal of making it digestible,
making it into a digestibleformat. So I asked it again. Had
to prompt it again, and it gaveme a table. I don't really want
a table. I just want bulletpoints. I just want something
simple. So that's a simple. Sothat's a little bit of an

(19:23):
aggravation from chat GPT, whichis why I now prefer the process
of let's just collect all of oursources loaded into grok. Grok
will actually go through each ofthe links that I give it and
come up with the researchreport, but then taking that
research report and loading itinto a chat GPT, because it
allows me the position to haveall of this research, have some

(19:46):
of the suggested questions andanswers that I was already
thinking through, but then beable to prompt a chat GPT and
say, What am I missing? Pokeholes in my arguments and. And
that has been the bigger unlockis being able to load in the
work that you've already doneand asking it to poke holes in

(20:06):
it, asking it, you know, what amI missing? Things like that. So
then that way, it can give you amuch better response. And so if
you're looking at the screen,you can kind of see that now
it's starting to give me alittle bit more of a better
response, where I can have thecontext around the question, and
then have the information that'sgoing to be the most helpful to

(20:28):
the audience, especially becausewe're working in limited time
frames. I think the conversationthat we recorded was around 40
minutes, and you frankly, itcould take hours, sometimes
days, to explain complexgeopolitical issues, tariff
conversations, trying to compileall of that into a nuanced
discussion is incrediblychallenging, and so this was

(20:49):
really helpful to help me sortthrough all of the ideas that I
thought were interesting, andthen to poke holes in those
ideas so I can get a biggerpicture of, you know, what is
going on in the world, and thenthus help other people have a
bigger picture of what's goingon in the world as well. And so
if you thought we were done, weare not done. So I did, if

(21:12):
you're looking at the screen, Idid ask it, you know, a few
other questions outside of theresearch that I had told it to
check. I said, what are some ofthe more interesting stats? It
did give me a stat on us, or us.
Tariffs on China hit 104% inApril 2025 by the time it was
giving me that number, thetariff news the US had already

(21:33):
increased it to 145% and sothat's where I think that grok
is much more accurate in thelatest news realm, because who
knows where they are pullingthat information because, or
chat GPT is pulling thatinformation because, inside of
rock, it had the 145% which iscorrect. It had that correct

(21:55):
amount of us tariffs on China atthe correct amount, while chat
GPT did not so out of all ofthis information, I copied and
pasted what I thought was themost interesting part. And my
favorite thing about these llmsis that they just have this
fancy, you know, copy and pastetool, so you can literally just
hit that little copy button. Andthen I brought it over to a

(22:18):
Google Doc, and I pasted the toptakeaways from grok, the top
takeaways from chat GPT, pastedit all in one doc so I could
have this cheat sheet. Now, Ihave much more information on
here, and it's still, it'sliterally 13 pages of notes
inside of my Google Docs, but Iwanted to have the one pager

(22:39):
that is key for doing, you know,interviews and
talks and things like that, isjust having a one pager that you
can quickly glance at and thencome right back to the screen
and right back and lookingmaking eye contact camera wise.
So have my little cheats cheatsheet. But I took it one step
further, and I think this isgoing to be the more interesting

(23:00):
unlock for a lot of you is thatif you take Wait, I didn't even
change my screen. So sorry iHere is the Google Doc. In case
you're watching on screen, or ifyou're just listening, you
didn't notice anything. It wasthe same information. But if
you're looking on the screen,there's my one pager doc of all
of those pages of informationcondensed into one block. Now
obviously it's not going to befully in depth. It's not meant

(23:24):
to be it's meant to be that Ican find a keyword and then be
able to riff on that particulartopic, because I've already done
the legwork of the research, oflistening to podcast interviews
and YouTube videos and digestingit that way over the course of
the last week, but then justusing it as a compilation, as a
data collection method in orderto turn the all of that

(23:46):
information, stats, quotes,things like that, into a one
pager that is really, reallyeasy to look at. Now, next step
is to go over to notebook LM,which is from Google, and they
have a plus option. So if you'relooking at the screen, they have
a plus option, but they alsohave a free version. I've been
using the free version. I mightupgrade to the plus version, but

(24:10):
basically, you are able to takea massive amount of contextual
data. So all of that text thatyou just saw me scrolling
through on screen, 1000s ofwords, you can take that
information and use it as a datasource inside of notebook LM.
And what it will do then is itwill create a podcast overview

(24:31):
of everything that you compiledinto that data source. So if
you're looking on the screenright now, let me share this
notebook LM tab of what I'vealready created and what I
actually used for to prep forthis interview. And so you can
see on the left hand side, theyhave what you can add as a
source. You can add up to 50sources of information. I just

(24:54):
chose to paste a bunch ofinformation into the doc. I
might try, you know, links inthe future, but. You can also
add that as well. You can kindof see on the screen right now
where you can add google drivelinks, just a regular link,
YouTube links, and then you canalso paste in text. That's what
I did, is I pasted in text fromall of the research from grok

(25:15):
and from chatgpt. Pasted thosesources in so you can see them
on the left hand side over here,and then on the right hand side,
it will typically say, you know,generate an audio overview, the
audio overview. And I might haveto do a separate episode on
this, because it is so if youhaven't played around with this,
it is incredible, because ittakes this massive amount of

(25:37):
information and it turns it intoa podcast hosted by a male and a
female, and they have a damnnear perfect podcast cadence. I
want to play for you the first,I don't want to say like 30
seconds to a minute of thispodcast, because it sounds like
a normal podcast, but it's used.
It's a podcast made out of allof the insight that I gathered

(26:00):
up over the course of the week,research documents, things like
that, it makes the podcast. Soit made a 24 minute podcast
based on all of that informationthat I loaded into the system.
And take a listen into the first30 seconds, because it sounds so
normal,

Unknown (26:19):
that feeling when your news feed is just, you know,
wall to wall, updates aboutglobal trade tariffs flying left
and right, you can honestly feellike you're drowning in
information sometimes. Yeah,it's overwhelming. Well, think
of this as your lifeline. Thisdeep dive. It's designed to give
you a clear, concise handle onthe really crucial shifts

(26:39):
happening in global commerceright now exactly.
We've basically waded through amountain of stuff for you, the
latest news, obviously, but alsoexpert takes on social media and
some really deep industryreports. The goal here is just
to cut through all that noiseand bring you the key things you
need to know to understandwhat's really going on.
And today, we're zoning in onsomething pretty significant,

(27:01):
that major escalation in the USChina trade conflict back in
April 2025 right?
And the huge impact it had onglobal supply chains, yeah. Now,

Blythe Brumleve (27:11):
if you heard all of that, that is, it sounds
like a normal podcast. This wascompletely generated by AI using
the information that I'vealready gathered. And so if
you're if you want to hear thatfull discussion, because it is a
great discussion, I happen toprefer listening to podcasts
because it's so unintrusive towhat I'm already doing during

(27:34):
the day. And so I can cookdinner, I can fold laundry, I
can clean the bathroom, I can doall of these things and still
listen to a podcast. And sothink about it from that lens,
like even YouTube. I loveYouTube. Watch it every single
day, but you have most YouTubevideos, you have to be watching
the screen, so you can't reallydo other things while you're

(27:55):
watching YouTube. This changesthat. Podcast changes that, and
it has changed that for a, youknow, more than a decade. I
think 20 years, gosh, howeverlong podcasting has been around.
But I think 20 years, yeah,there's neither here nor there,
but this is a totally new way tointeract with information,

(28:16):
collect information, compile ittogether, and then listen to a
podcast recording that is doneon demand, and it made that
episode in less than fiveminutes based on all of that
data. And then I'm able to gothrough I get ready. I can do my
makeup in the morning. I can getready for, you know, YouTube,
Internet things, and being oncamera while I'm listening to

(28:40):
the research that I've alreadycompiled. So this is a major,
major unlock, and if you want tohear the rest of that podcast
conversation, we're actually iYou're able to download the file
and either share it with yourteam, but I'm going to share it
with all of y'all on thisparticular episode, so then,
that way, you can hear about allof the research that I did, and
then listen to this fee, thisfeedback of this podcast

(29:02):
episode, and maybe you can usethis in your own research
efforts and your own teambuilding efforts, because it
really is so incredible. So thatwas my, I guess, my final result
of all of the news that Icompiled the way I was able to
prep for that conversation. AndI think that this, this centers

(29:22):
around, you know, what I hintedon earlier in this episode is
that in this world where AI isslowly taking over specific job
roles and job duties, it's notthe person that's going to be
replaced by AI, it's the personusing AI that is going to

(29:42):
replace other jobs and otherworkers. And so if you're not
using these tools, you need tostart baking it into your work
day. Just keep a tab open onyour computer screen, keep chat
GPT open on your computerscreen, start asking you
questions that you wouldtypically. Ask Google, you would
be surprised at how good theanswers are now there. I do

(30:06):
believe that there are differentuse cases per AI platform, but
overall, I thought that you guyswould find this interesting,
because you're able to use thesetools, especially around a topic
like tariffs, to gain a greaterunderstanding, a greater
education on that topic. So thenthat way you can go back to your
customers and go back to yourleads and tell them how much you

(30:28):
care about their freight, howmuch you care about their
business, and that you'rethinking about it as well. That
is the goal of using AI tools.
So then that way you can get ridof less of the grunt work this
would have taken me, I don'teven want to weeks to, you know,
be able to compile and find goodpull quotes and put it into an
interesting format, and then beable to to shift on a dime on

(30:52):
what we're talking aboutconversation wise. Now I can do
that that much faster, becauseI'm able to have a system in
place where I can save thatinformation and then not only
compile that information into aresearch report, but take action
on that research and be able toshare it and set myself up and

(31:12):
my company up as a subjectmatter expert in This arena. So
it the world is shifting fast.
AI and tariffs. There's a lot ofdrama around each of those.
Neither of these two things aregoing away. So how can you use
these modern day tools to gain acompetitive advantage? I think

(31:34):
that this is a pretty goodprocess to follow and experiment
with. I'd be curious to hear ifany of you have experimented
with a similar route in datacollection and research and how
it is helping you in your day today. Would love to hear some of
your use cases. So if you haveany of those, please let me
know. But that about does it forthis episode? I thought that
this would, well, it not quite,not quite, because we are going

(31:57):
to add in that downloaded audiofiles. So if you want to hear
about the new tariff, WorldOrder, supply chain upheaval,
which is the podcast episodecreated by no Google's notebook
LM, based on, you know, theresearch data that I fed it, we
are going to play thatimmediately after. But if you
don't tune in, you know, thanksfor listening. I appreciate your

(32:18):
attention, and I would highlysuggest to tune in, because this
could be a fantastic new way ofcollecting data, compiling it,
and then acting on that data. Sohope you all enjoy

Unknown (32:31):
that feeling when your news feed is just, you know,
wall to wall, updates aboutglobal trade tariffs flying left
and right, you can honestly feellike you're drowning in
information sometimes. Yeah,it's overwhelming. Well, think
of this as your lifeline. Thisdeep dive. It's designed to give
you a clear, concise handle onthe really crucial shift

(32:51):
happening in global commerceright now. Exactly.
We've basically waded through amountain of stuff for you, the
latest news, obviously, but alsoexpert takes on social media and
some really deep industryreports. The goal here is just
to cut through all that noiseand bring you the key things you
need to know to understandwhat's really going on. And
today we're zoning in onsomething pretty significant,

(33:13):
that major escalation in the USChina trade conflict back in
April 2025right? And the huge impact it
had on global supply chains,yes, massive ripples. So
our mission here, really, is togive you the context. Why these
new tariffs? Why was so muchmanufacturing concentrated in
China to begin with?
And the real time upheaval, youknow, how companies are

(33:33):
scrambling to react, who'swinning, who's losing in all
this? Yeah, and howit hits different industries
differently, plus what companiesare actually doing to become
more resilient,and technology's role is playing
a surprisingly big part in thiswhole transformation.
Okay, let's dive in. Let'sunpack this. So April 2, 2025
the US announces some prettyhefty new import tariffs. Yes,

(33:56):
significantchanges. We're talking 10% up to
what was it? 49% on variousgoods,
and The stated reason, accordingto the reports, was about
bringing manufacturing backhome, making America wealthy
again, that sort of thing thatwas the line. And look, these
weren't just minor tweaks. Thismove pushed overall US tariff
rates to their highest point ina century, 100

(34:19):
years. That's quite a statement,a real shift in trade policy,
absolutely, and China, well,they didn't wait long to react.
Did they? No, pretty muchimmediately,
they hit back with their ownreciprocal tariffs on US
exports, whichjust set the stage for things to
escalate fast. And they did. Afew days later, the US doubled
down an additional 104% tariffon Chinese goods, right?

(34:41):
And the justification given wasChina's refusal to drop its
initial 34% duties.
So let's just add that up. Therewas already a 20% tariff from
earlier February, 25 add the new104% that puts the total tariff
on many Chinese goods at amassive 145%
and. Enormous cost increase forimporters,

(35:02):
just huge. And the markets, theydefinitely noticed.
Oh yeah, the S, p5, 100 plunged.
What about 10% just two days?
Wow. And it wasn't just the US.
The whole global stock marketkind of went into a tailspin. I
saw a quote from investor Jameslie saying, basically, whatever
you think about tariffs, thetiming was just terrible, really
disruptive? Yeah,that makes sense. And this
wasn't just about tariffs onfinished goods. Was it? The

(35:23):
conflict took another turn. Itdid. China started using its
leverage over criticalmaterials, things essential for
high tech manufacturing.
We saw reports that weretargeting key parts of the US
supply chain for these materialsExactly. They
had already put restrictions onexporting things like gallium,
germanium and antimony to theUS, right? Those specialized
metals, vital for semiconductorsand stuff,

(35:46):
vital. And then in April, theyadded rare earth elements to
that export control list. Ah,rare
earths. Everyone hears aboutthem, crucial for electronics.
EVs, defense systems, absolutelycrucial. And China dominates the
processing some analysts werecalling it China's ultimate
metallic weapon, a pretty starkdescription. It
really paints a picture of aneconomic conflict fought on

(36:08):
multiple fronts, doesn't it? Itdoes
now the US tariff policy itselfseemed to be well, evolving in
real time, adapting how so wellinitially they seem to exempt
consumer electronics, you know,smartphones, laptops,
to avoid sudden price hikes forconsumers. Presumably, that
seems to have been the thinking,yeah, avoid that immediate
sticker shock. But other sectorsweren't so lucky, not at all.

(36:30):
Textiles, apparel, toys, bam,hit with punitive duties up to
125%in some cases, ouch. I remember
seeing a logistics expert callit organized efenomics,
right? A colorful way to say,mess around and find out,
highlighting those really harsh,maybe unexpected consequences
for certain industries,definitely a shock for those

(36:51):
businesses. And the techexemption that wasn't meant to
last forever, was it? No.
The reporting suggested it wastemporary tariffs on
semiconductors, otherelectronics, they were expected
within about amonth. So a phased approach,
maybe, but aiming for prettybroad coverage eventually seems
like it. And the numbers reallyunderscore the scale of this
shift US customs duties as apercentage of imports. Yeah,

(37:15):
they hit levels not seen sincethe snoot Holly era back in the
1930sWow, the era often blamed for
worsening the Great Depression.
So overall, US tariff rates hit100 year high by April 2025
Exactly. It just hammers homehow big a policy change this
was, and it wasn't just Chinafeeling the heat
right. Allies like Canada andMexico got hit too. Yeah, new

(37:36):
25%duties on many of their goods,
and understandably, they werenot happy, lots of complaints,
I bet. And China, meanwhile,obviously condemned the US
actions stronglyand hinted at more retaliation
beyond just tariffs, maybetargeting US companies in China.
Therewas talk about Tesla's Shanghai
factory. Wasn't therespeculation? At least

(37:57):
there was, which would be a hugeescalation. Obviously shows how
tangled everythingis. It really does, and it's
interesting to bring in RayDalio perspective here, yeah,
the veteran investor. He warnedagainst seeing this just as a
tariff thing, right?
He argued it's more a symptom, asymptom of these, like five
deeper forces reshaping theworld order,

(38:17):
and that this trade fight mightjust be a precursor to, well,
potentially more dangerousconfrontations down the line.
James lie echoed that worry,too.
So it's not just about tradedeficits. It's deeply tied into
national security, great powercompetition, a much bigger
picture, amuch bigger picture. Okay, so
that's the context of the recentescalation, but to really get

(38:38):
why this is causing suchupheaval, we need to rewind a
bit. Why did so muchmanufacturing end up in China
anyway? That'scrucial. Yeah, for what 30 plus
years, China offered this reallycompelling package for
manufacturers.
The starting point, as I Jelaninoted, was definitely the super
cheap labor rate, especiallyback in the 90s, early 2000s

(39:00):
absolutely wages were just atiny fraction of Western levels
then. But it wasn't only cheaplabor. Was it
no far from it. China built thisincredibly powerful industrial
ecosystem. Think, dense networksof suppliers, skilled workers,
logistics, infrastructure, allpacked together the cluster
effect, likeShenzhen for electronics, you
could find literally anycomponent, any service, right

(39:21):
there, super efficient, totallyand big players like Apple's
partner Foxconn, they thrived onthat efficiency, sourcing parts
practically next door toassembly lines. And
then there was the regulatoryside, historically, maybe more
lenient environmental rules,labor
rules, and definitely businessfriendly policies from local
governments trying to attractfactories, plus tax incentives.

(39:44):
Those tax free export zones werea big draw, and we shouldn't
forget the currency was keptintentionally undervalued for a
long time, making exportscheaper,
right? So you bundle it alltogether, low wages, huge labor
pool, government support, densesupplier net. Works, efficient
logistics. It was a winningformula for
decades, yeah, but importantly,China also invested heavily in

(40:08):
skills, right? Building upworkforce. Know how
critically important that led tohigh productivity, high quality
in many areas, it wasn't justabout cost anymore.
I remember that quote from thetoy executive Molson Hart, he
said Chinese manufacturing laborisn't just cheaper, it's better
that really cuts through it,doesn't it? And he gave that
great example from his ownbusiness, yeah, educational toys

(40:30):
needing precise plastic molds.
Yeah? He said he could buy themachines in the US, no problem.
But finding people with the deepexpertise to make and fix those
complex molds, that knowledge islargely gone here.
It really points to this erosionof industrial capability in some
Western countries, the skills,the knowledge base, the whole
ecosystem, just faded away incertain sectors. Hart's point

(40:52):
was that tariffs alone won't fixthat. You can't just magically
bring back production if thefundamental know how isn't there
anymore. He felt many Americanskind of trivialize
manufacturing's complexity. Heeven mentioned cultural aspects,
didn't he observing Chineseworkers working longer hours,
maybe more happily, beingphysically faster, attributing
it to a manufacturing cultureand better technical education.

(41:15):
It'sa challenging perspective, for
sure. Now, things have beenshifting at the margins
recently, even before these bigtariffs right
rising wages in China, theearlier trade tensions, COVID
disruptions, that all pushcompanies towards the China,
plus one strategy, keepinga foot in China, but also
setting up shop somewhere elseas a backup, exactly

(41:36):
but fully disentangling isproving incredibly hard. Global
supply chains are just so deeplywoven into China. It's not just
final assembly, it's the inputs,right? The components, the
materials, somany upstream inputs still come
from China. Think Taiwan orSouth Korea, making advanced
chips that end up on boardsassembled in China or
Vietnam, sewing clothes usingChinese fabrics and zippers.

(41:59):
This deep integration meanstrying to rip it all out quickly
is hugely disruptive and costly.
So when these massive newtariffs landed in april 25 it
must have just sent companiesscrambling rip it out and
reroute, basically totalscramble mode. The very first
reaction was that rush to frontload shipments, right? Get as
much stuff into the US beforethe tariffs

(42:21):
hit, which led to that recordtrade deficit. We mentioned
companies front running thetariffs, but
then boom Liberation Day, assome Riley called it, the day
the tariffs took effect, oceanfreight bookings just tanked.
Orders canceled, rerouted. Andthink about the small businesses
caught in the middle, gettinghit with huge unexpected customs
bills on stuff already on thewater,

(42:41):
yeah, sometimes wiping out theirentire profit margin on that
shipment. Desperate situations.
For some, you couldjust feel the crisis mode
setting in, especially in thoseheavily reliant industries,
toys, apparel, electronics. Weheard that story about the toy
company, costs per unit soaring,making existing orders totally
unprofitable overnight, anightmare scenario. Many

(43:02):
companies just felt blindsidedby the speed and the sheer scale
of it all. Andit wasn't just finished goods
importers feeling the pain.
Remember Ryan Peterson's pointfrom Flexport? Yeah, about US
manufacturers being collateraldamage exactly
because tariffs were alsohitting the components and
machinery they import to makethings domestically. So even us

(43:22):
factories faced rising costs ifthey relied on global inputs,
it really complicates thatsimple bring manufacturing home
narrative, doesn't it? Itabsolutely does. It's way more
complex than just putting upwalls. So facing these huge cost
hikes, the immediate reactionwas this frantic search for
alternative productionlocations, countries not yet hit
by the tariffs. Butthat became tricky, too, didn't

(43:44):
it? Peterson also mentioned thetariffs hitting places like
Vietnam and Cambodia,right? That was described as an
absolute bomb. 46% on Vietnam,49% on Cambodia. These were key
destinations for companiespursuing that China plus one
strategy. So itreally felt like Whack a Mole.
You shift production to avoidone tariff, then that place gets
hit too. It's exactlythat dynamic. So where were

(44:04):
companies actually managing toshift production? Which region
started seeing an uptick? Mexicoseemed like a big one,
definitely a triumphbeneficiary. Proximity to the
US, the usmca trade deal, thathelps
a lot. And we even saw reportsof Chinese manufacturers setting
up shop in Mexico to serve theUS market, tariff free. Yeah,

(44:24):
estimateswere suggesting maybe 20% of new
factories in Mexico could beChinese owned within a couple of
years, using it as a back door,especially for things like auto
partsinteresting and Vietnam, despite
the new tariffs hitting themtoo, still
attracting business. Yeah, itwas already benefiting from
China plus one, especially inelectronics and apparel.
Electronics became a huge chunkof their exports, like 32% Yeah,

(44:48):
definitely a key conduit forChina, in some
ways, meaning importing Chinesecomponents for assembly, right?
Butthose new US tariffs certainly
tempered Vietnam's advantagesomewhat. What about
India? They seemed key. To graba bigger slice. They are
especiallyin electronics and textiles.
Apple starting manufacturing,there was a big signal. India's
Got the scale potentialdemocratic alignment, though.

(45:09):
They faced their own hurdleswith infrastructure and
bureaucracy, and they weren'tfully exempt from us terrorists,
either,and then other Southeast Asian
Nations, Indonesia, Malaysia,Thailand, all
picking up some business.
Indonesia is making a reallyaggressive play in the EV
battery supply chain, using itsnickel resources, attracting big
investments. Andit wasn't just Asia and the

(45:30):
Americas right. Eastern Europe,North Africa.
Scene movement too. Poland isemerging as a key hub in Europe,
especially for the auto industryand EV batteries, though often
using Chinese material still andMorocco, leveraging its
phosphate reserves, attractingChinese battery factories too,
becoming one of these importantconnector economies.

(45:51):
So it really feels like theglobal supply chain map is being
actively redrawn, more regional,maybe more complex, definitely
more complex. And in the shortterm, definitely seeing
inefficiencies, logisticsbottlenecks, overwhelmed ports,
in some places, maybe servicecuts to smaller US ports,
we heard reports of Portmanagers just dealing with
constant confusion,unpredictability, these supply

(46:14):
chain tourniquets causing majorblockages. And the
bottom line is companies arepaying more carrying more risk
that eventually feeds intoinflation, potentially, yeah,
and ironically, somemanufacturing is just taking a
detour through other countries,but still ultimately reliant on
China.
Okay, so with all this shakingout, who looks like the winners
and who looks like the losers inthis big manufacturing shift,

(46:37):
well, on the potential winnerslist, Mexico really jumps out
proximity usmca. They're soakingup investment in auto,
appliances, electronics, though,maybe straining their
infrastructure. Vietnamand Southeast Asia generally
still benefiting in apparel,electronics, yeah, benefiting,
but maybe hitting limits withlabor pools and still very

(46:57):
dependent on Chinese inputs.
Indonesia, as we said, looks keyfor the EV supply chain,
connector rule. South Asia,India, Bangladesh, indie for
electronics, chemicals, Pharma.
Bangladesh keeps going atapparel, but then you have
Cambodia getting hit with thatbig 49% tariff. So it's not
universal.
Eastern Europe, Poland, NorthAfrica, Poland's looking
good, especially for Europeancompanies needing alternatives.

(47:19):
Battery manufacturing is a primeexample. North Africa, Morocco,
Egypt, Tunisia, could grab moretextile and light manufacturing
for Europe. Andwhat about the US itself? Is it
actually winning? Potentiallysome
upticks, steel, aluminum, maybesome factory expansions,
appliances, electronics, chips,eventually. But Molson Hart's
argument looms large are theworkforce skills and supplier

(47:43):
base really ready? Gains mightbe limited without that. Okay?
Onto the potential losers. ThenChina's export sector seems
obvious. Yeah, likelyvolume loss, especially at the
lower end of manufacturing,they'll try to offset it move up
the value chain, deep in tradeelsewhere, but still a hit us,
consumers and importers, almostcertainly facing higher prices.
Tariffs act like a tax, right?

(48:04):
Kyla scaling called itregressive tax, hitting lower
income folks harder,and those emerging markets
caught in the crossfire, likeVietnam, Cambodia, collateral
damage, yeah, and just globalefficiency overall, fractured
supply chains could be a drag ongrowth,
and those connector countriestrying to play both sides.
That's a tough balancingact. They might increasingly
feel forced to choose sidesbetween the US and China.

(48:26):
No, these impacts aren'tuniform, are they? It really
depends on the specificindustry. Absolutely
crucial point takes heck andelectronics, big hardware,
smartphones, laptops got thattemporary relief initially, but
that's changing tariffs expectedon chips, phones,
PCs, right, which is justaccelerating diversification
Apple to Vietnam, India, DellHP, looking at Mexico, Thailand,

(48:49):
the trend is definitely towardsregional tech supply chains,
automotivecomplex, global chains. There
too big pressure to source moreparts within North America
benefits, Mexico, Canada, underusmca, despite those new general
tariffs, you might see moreEuropean, Asian car companies
building plans in the US andthat big push to onshore the EV

(49:10):
battery supply chain, huge focusthere
and retail consumer goods likeclothes, shoes, toys, furniture,
among thehardest hit really forcing rapid
shifts to Bangladesh, Vietnam,Latin America. It's tough for
small retailers, especially bigbox
stores. Have more leverage, Iguess, more leverage,
yeah, renegotiating diversifyingsources, maybe just accepting

(49:30):
lower margins for a while. Whatabout US manufacturers who need
imported machinery or componentsthey're feeling the cost pinch,
they'll likely petition forspecific exclusions. Maybe we'll
see more cooperation amongallied countries on supplying
industrial inputs,and agriculture always seems to
get caught in these trade wars.
Big risk forus. Farmers lost markets lower
prices due to Chineseretaliation and that background.

(49:54):
Worry about food supplies beingweaponized if things get worse.
Finally, the. Logistics folks,the shippers, the ports, lots of
uncertaintyfor them, shifting volumes,
maybe less traffic on the mainChina, US routes, a real risk of
a downturn. If global tradeslows significantly, it's a
tangled web.
So given this chaos, what cancompanies actually do? How do

(50:15):
you build resilience? Now itfeels like the million dollar
question.
It really is, resilience is thename of the game. Now, yeah, top
strategy, diversify yoursourcing. Don't rely on one
country.
Have multiple suppliers indifferent places.
Exactly It costs more, sure, butthink of it as an insurance
policy. Panasonic is a goodexample. People cite
and near shoring or friendshoring, moving production

(50:37):
closer or to allied nations. Bigtrend reduces geopolitical risk,
leverages trade deals. You seeEuropean firms moving closer to
Europe, US firms closer to theUS or Mexico. Nimble supply
chain, routing is key. Whatabout inventory? Are companies
holding more stock? Definitelyseeing a shift from just in time
to just in case, carrying higherinventories of critical stuff,

(50:58):
building in buffer time, bigretailers are stocking up
warehouses more.
And are there clever ways aroundthe tariffs? Legal tactics? Oh,
yeah, tariff engineeringis a whole field trying to
change product classificationcodes, HS, codes shifting where
the final transformationhappens,
using bonded warehouses orForeign Trade Zones, exactly,
filing for exemptions, lobbying.
It's all part of the playbookfor larger companies, and

(51:22):
relationships with suppliersmust be more crucial than ever.
Absolutely closer collaboration,longer contracts, maybe even
financial support for keypartners, and mapping your
supply chain deeply, knowing whoyour suppliers, suppliers are,
to spot hiddenrisks, plus just being ready for
anything, right? Scenarioplanning, essential,

(51:42):
running simulations. What ifthis happens? Having contingency
plans, alternate materials,maybe redesigning products to be
more modular. Agility is thecompetitive advantage now, and
constant geopolitical riskmonitoring,
it's clear technology is a hugepart of this response, maybe
even driving some of ittotally critical. Ai, data,
analytics, automation, they'reenabling this shift. It's less

(52:03):
about chasing cheap labor now,maybe more about chasing
efficiencythrough tech. How does
automation make local productionviable again? Well,
it can neutralize that low wageadvantage. China had robots,
advanced machinery in the US orEurope, they don't care about
wages, those automated lightsout factories we hear about that
trends accelerating highterrorists give you more

(52:25):
incentive to automate at homerather than import. And things
like 3d printing allow forlocalized production of certain
partsand AI's role in optimizing
these complex shifting chains,huge
potential. Analyzing masses ofdata to suggest the best
sourcing strategies,reallocating orders,
automatically, forecastingdemand better,

(52:45):
even flagging geopolitical risksbefore they blow up exactly.
AI can run those simulations thedigital twins to test
resilience. It's reallyaugmenting human decision making
in complex ways. What about justmanaging the paperwork, trade
compliance? AI is helping theretoo. Automating product
classification, spotting chancesto use trade treaties, filling

(53:05):
out forms, digitizing the wholeprocess gives much better
visibility,and automation enables bringing
back some advancedmanufacturing, chips, pharma,
yeah, precisionautomation makes onshoring those
industries more feasible. Yousee with the new US chip fabs
being built, technologyis also streamlining the actual
movement of goods, the logisticsfor sure, platforms matching
freight loads, intelligentrerouting, Blockchain for

(53:27):
tracking Providence,transparently, IoT sensors,
tracking shipments in realtime, and even using AI as an
early warning system, looking atsatellite images, yeah,
tracking factory activity, Portthroughput via satellite and AI
to get a real time pulse oneconomic shifts, pretty amazing
stuff.
So it really feels like we'reentering a new phase. Economic

(53:50):
nationalism is up. Tariffs arehigh, right?
A definite trend towards that,maybe a bifurcated global
economy. Tariffs are a key toolhitting those 100 year highs,
and supplychains are reorganizing, not
just for cost, but forresilience, for geopolitics,
leadingto maybe shorter chains, but
probably more expensive ones,which could mean higher prices
for consumers, ultimately,but innovation could offset some

(54:11):
of that. Right, new productionmethods, smarter operations.
Absolutely,there's huge potential for
innovation to blunt the tariffimpacts, but it needs as we
discuss real expertise andnuance, not just slapping on
duties, andwe still see those contrasting
views, skeptics like Molson Hartsaying tariffs fail without
deeper fixes, versus others,hoping this jolts companies into

(54:32):
finally reducing that overreliance on China and
China's perspective, losing lowend manufacturing isn't New, but
this trade war hits their hightech goals
creates more urgency for them tointernationalize the yuan, build
alternative trade networks, andthey're pouring money into AI
and robotics too.
So the global supply map isdefinitely being redrawn.

(54:54):
Regional hubs, those connectoreconomies, Vietnam, Mexico,
Indonesia, Poland, Morocco,because. Be more important, but
it seems unlikely one countryjust steps in to replace China
wholesale anytime soon. It'smore fragmented now, and
the message for companies seemscrystal clear, adapt or get left
behind.
Supply chain management is nowabsolutely core strategy,

(55:16):
resilience, agility,intelligence and understanding
that bigger geopoliticalpicture,
like Dalio said, it's not mostlyabout tariffs, exactly.
That's what success looks likein this new era. But you
know, despite the stress anduncertainty, global trade is
fluid. Companies areresourceful. They
are it's a tough time, no doubt,but it's also a chance to build
genuinely better, more robustsupply chains using adaptation

(55:39):
and technology.
So as we've dug into here,tariffs are forcing this real
time reshaping, and thecompanies that are smart, agile,
proactive, they can navigate thestorm and maybe even come out
stronger. So just to wrap up thekey takeaways for you listening,
we saw the sheer speed and scaleof these tariff changes. We

(56:00):
looked at the complex reasonsChina became so dominant in
manufacturing in the firstplace, right?
And those ripple effectsspreading out across different
countries, different industries,and critically, the role of
resilience in technology, in howcompanies are trying to cope and
adapt. And itreally feels like this is just
the start of a pretty profoundshift in the global economy.

(56:20):
Yeah, we're thinking about thelong term implications for
businesses, consumers,international relations. It's
all interconnected. So maybea final thought to leave you
with, given how intertwinedeconomics and geopolitics are
now, what might be some of theunexpected consequences of this
new tariff world order thatcould emerge down the road?
That's a great question,definitely something to keep
watching and thinking aboutabsolutely

(56:43):
well. Thank you for taking thisdeep dive with us today into
such a complex and fast movingtopic.

Blythe Brumleve (56:51):
I hope you enjoyed this episode of
everything is logistics, apodcast for the thinkers in
freight, telling the storiesbehind how your favorite stuff
and people get from point A toB. Subscribe to the show, sign
up for our newsletter and followour socials over at everything
is logistics.com and in additionto the podcast, I also wanted to
let you all know about anothercompany I operate, and that's

(57:12):
digital dispatch, where we helpyou build a better website. Now,
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doesn't happen at Digitaldispatch. We've been building
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(58:17):
on a strong foundation. Untilthen, I hope you enjoyed this
episode. I'll see you all realsoon and go jags. You.