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The Superconductivity Prelude
Late in July 2023, South Korean researchers made headlines with a potential discovery – now mostly debunked – of a material that enabled superconductivity at room temperature. This teased a future that could make energy cheaper, levitate trains and solve algebra problems.
I dove in too.
X, the platform formally known as Twitter, became instantly charged. In one example, an employee of Varda, a SpaceX-like company, began to publicly attempt to replicate the study and had over 10,000 people tuning in to watch a live stream of rocks in a furnace.
LK-99 Replication Vlog (August 3rd, 2023)
Insane that @andrewmccalip @zebulgar & team pulled this off so quickly.
Clearly yields need to improve dramatically for more testing (you’ll see them attempt a heating test in the video).
Excited for more experimentation here! pic.twitter.com/lwVpDWu2ZG
— John Coogan (@johncoogan) August 6, 2023
The science community is increasingly pessimistic that room temperature superconductivity was achieved.
But this isn’t about Cooper Pairs or diamagnetism.
It’s about the fact that for a week or two, the world sat at the edge of its seat, contemplating a radical paradigm shift; a force that would reshape Everything As We Know It. Bombastic, right?
But there’s another shift that’s out there – and it’s slightly less geeky. Artificial Intelligence appears to be ticking that same box…with more bonafides.
Bill Gates on AI
“The development of AI is as fundamental as the creation of the microprocessor, the personal computer, the Internet, and the mobile phone. It will change the way people work, learn, travel, get health care, and communicate with each other. Entire industries will reorient around it. Businesses will distinguish themselves by how well they use it.” (Source)
Global freight, with its blend of structured processes, unpredictable variables and high frequency, is perhaps the most fertile playground for the AI revolution. Over half of all importers and exporters juggle shipments on spreadsheets. And that’s exactly where AI thrives.
Are we there yet?
However, amidst the buzz, despite what ChatGPT tells you, and as a check on my excitement, we need to separate the wheat from the chaff. We’ve been here before with Blockchain and Tradelens, which launched in 2018 and was done by the end of Q1 2023 – a good example of hype waves.
So, where does AI stand among logistics professionals?
So instead of talking about it, we decided to ask about it. Specifically, we asked about 60 supply chain professionals, including a range of providers and shippers from companies large and small. The goal? Do logistics professionals see the same AI revolution that Gates does? And if so, when and how?
First off, AI is gradually making its mark, and the buzz isn’t just empty noise. The expectations are absolutely there. A full 96% believe they will leverage the tech (and when was the last time you saw such consensus from both shippers and forwarders?
That said, while many tech companies may have been using AI for years, from a logistics practitioners perspective, we’re clearly at Day 1.
Only 14% have either adopted (7%) or are currently piloting (7%) AI-driven solutions. When it comes to how they are using it, there is also a clear trend, with 75% deploying AI for pricing (like freight rate management) and another half tapping it for shipping operations, while others are branching into sales or customer support with AI.
Down the line, companies anticipate similar use cases, with the primary areas of interest pricing (64%), customer service (56%), operations (51%), sales (35%), and software engineering (24%).
The Motorboats vs Container Liners
AI adoption trajectories diverge when comparing SMBs to larger enterprises. The first divergence is on implementation. Much like one would expect for small and nimble companies (or companies with younger and more malleable stacks), SMBs – companies with fewer than 250 employees – are ahead of the curve: 37% of them already have concrete AI strategies, compared to 21% of their larger counterparts.
Larger enterprises are forecasting a wider AI scope, particularly in pricing (71% vs. 56% for SMBs), shipping operations (64% vs. 37%), and engineering (32% vs. 15%). However, SMBs see a brighter AI future in sales automation (41% vs. 29% for big businesses).
What’s Coming Next?
AI is almost certainly not hype. Interestingly enough, no enterprise respondent said it was hype and just 5% of SMBs did. Over half envision a game-changing impact from AI while 43% predict a more measured transformation.
But improvements don’t happen in a vacuum and some significant challenges may loom. A significant share (84%) believe AI might trim the workforce. Specifically, 53% anticipate a limited reduction, while 31% foresee substantial cuts. Enterprises, more than SMBs, sense this looming change, with 38% vs. 26% bracing for significant reductions. Notably, a handful of SMBs (7%) harbor hopes of AI birthing new roles, a sentiment echoed by only 3% of the larger entities.
Time To Connect
Circling back to Bill Gates here.
Picture two logistics companies: one using the internet and the other not. It’s pretty clear who will come out ahead. The people at the company make the magic happen but it’s a whole lot easier with connectivity and software.
When it comes to AI, that’s exactly the parallel Gates drew.
While Mick Jagger might not trust ChatGPT to ship his guitar, it’s clear that the winners in logistics won’t be humans or AI. It’ll be humans amplified by AI.
This is difficult. Today, AI is a blank slate. Opening up ChatGPT just gives users the same blinking cursor and blank white text box. But companies must experiment – carefully – and embrace the tools that help them move…so that they can move goods for their customers.
It’s still early days. And it’s still unproven.
AI has the potential to change a lot of industries – with logistics no exception – and ChatGPT is just the beginning.
Our recent survey of dozens of logistics and supply chain stakeholders on how they’re already using AI, how they expect to leverage it in the future and what impact it will have on the industry revealed that AI already has some traction in logistics, and almost nobody thinks it’s all hype.
Key Insights:
- AI is mostly (but not only) talk. Logistics professionals overwhelmingly (96%) expect to leverage AI – with 14% already using or piloting solutions for pricing or customer service automations.
- Over half believe this will change the industry. Only 5% of logistics professionals – all of them SMBs – think AI is all hype, with more than half anticipating AI to have a major impact on the industry and 43% expecting a more limited impact.
- It’s not all good news for employees. Nearly 85% believe AI will result in at least some form of headcount reduction, with most (53%) expecting that it will lead to a limited reduction, and 31% expecting significant redundancies due to AI. Enterprise businesses expect a stronger impact on headcount than SMBs.
Survey Details:
Current AI Use – Nearly 80% of respondents expect to leverage or are already using AI. However, only 15% are actually – for now – walking the walk.
- 14% of respondents are either already using (7%) or piloting (7%) AI solutions.
- Among these, 75% use AI for pricing, with half using it in shipping operations and others leveraging it for sales or customer support.
- Another 29% have plans to implement AI, and 35% are considering how to leverage AI.
- SMBs (<250 employees) were more likely than large companies to have concrete plans to use AI (37% vs. 21%), while large businesses were more likely to still be considering their options (43% vs. 26%).
Expectations for the future
Nearly all (96%) respondents expect to use AI in the future.
- Even those not currently considering leveraging AI, overwhelmingly (84%) expect that they will use AI in some way in the future.
- Most logistics providers and managers expect to leverage AI for pricing (64%) and customer service (56%) automation in the future, with about half anticipating using AI in operations (51%) and others for sales functions (35%) or software engineering (24%)
.- Enterprise vs. SMB AI uses:
- Enterprise businesses nearly reached consensus on the future use of AI for pricing (71%) and operations (64%).
- For most AI uses, large businesses were more likely than SMBs to expect to use AI, with the most pronounced differences for pricing (71% large businesses vs. 56% SMBs), shipping operations (64% vs. 37%) and engineering (32% vs. 15%), while SMBs were more likely to expect to use AI for sales automations than large businesses (41% vs. 29%).
- Enterprise vs. SMB AI uses:
Expected Impact
Only 5% of logistics professionals – all of them SMBs – think AI is all hype, with more than half anticipating AI to have a major impact on the industry and 43% expecting a more limited impact.
- In terms of impact on headcount, most (53%) expect a limited headcount reduction due to AI, while a meaningful share (31%) expect a significant reduction.
- Enterprise businesses expect a stronger AI impact on headcount than SMBs, with 38% expecting significant reductions and 55% expecting minor reductions to headcounts, compared to 26% and 48% among SMBs.
- SMBs were more likely to expect AI to create jobs than larger companies (7% vs. 3%)/
Fielded: July 26th – August 3rd, 2023
55 respondents
Half BCOs, quarter forwarders, rest carriers or other logistics professionals.
Half large companies (>250 employees) half SMBs.
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