AI talent dash heats up in the supply chain as companies scramble to upskill staff
Zero100’s AI ROI Report shows a fierce race for AI talent in global supply chains, with firms using gamification and fast-track promotions to upskill staff. Nearly half offer rewards, while major companies invest in education and internal programs.
AI talent dash heats up in the supply chain as companies scramble to upskill staff
· Zero100, an intelligence company for supply chain leaders, releases exclusive research into the frenetic race for AI talent within the world’s biggest businesses
· Companies are so hungry for AI skills that they’re recruiting en masse and using every trick in the book to get existing team members to upskill
· Almost half (48%) of companies leading on AI offer rewards to staff who learn to love the machine
· 14% of firms willing to offer fast track promotions to early adopters and super users
May 29, 2024 - The race for AI talent within businesses running the world's biggest supply chains is heating up, according to new research from Zero100, an intelligence company for supply chain leaders.
The AI ROI Report from Zero1001, which surveyed 312 supply chain leaders globally (almost a third, 29% of whom were C-suite level leaders), shows that companies are scrambling to take advantage of the ‘once in a generation’ opportunity of AI. And they are responding to the talent crunch by getting creative, using tactics from gamification to fast-track promotions to convert existing employees into AI enthusiasts.
Almost half (48%) of the companies leading the AI race offer rewards to staff who learn to love the machine, with one in five (20%) introducing financial bonuses, gamification, or other incentives to encourage existing colleagues to play a key role in their digital transformation.
And one in seven companies (14%) is even willing to consider fast track promotions to team members in return for early adoption and spreading the word with colleagues (i.e. becoming ‘super users’).
Zero100 notes that AI literacy is becoming one of the most highly sought-after skills for businesses across all sectors. This talent dash has forced many major corporations - including the likes of Walmart, IBM, Amazon, Unilever and Estée Lauder Companies - to take matters into their own hands by investing in external education and internal upskilling programs to give employees the chance to become early AI adopters.
Walmart’s Executive Vice President, Sourcing, and Operating Partner Massmart, commented: “AI will be a huge enabler for the future of supply chain and operations, and a massive accelerant to the pace of innovation. But when it comes to guaranteeing genuine returns, leaders can’t afford to make short-sighted, hype-driven investments – you need a thoughtful strategy to deliver the best value for customers, and the best value for shareholders.
“In all the excitement about the technology, we can’t lose sight of the fact that investment in AI is an investment in your workforce – you need those human elements to really activate that technology in a meaningful way. That’s why, at Walmart, we’re ramping up hiring and upskilling for AI and machine learning skills. That knowledge is no longer a nice-to-have: it’s business critical.”
Zero100’s report reveals the vast majority (90%) of large businesses have experimented with AI across their supply chains, with almost a third (29%) claiming it is an area for heavy investment in over the next three years.
And these businesses know where they want to double-down on AI. More than two thirds (68%) of supply chain leaders believe AI will reduce inventory waste, 36% say it will reduce materials costs from suppliers and 30% say it will reduce last mile transportation costs.
The new report follows previous Zero100 analysis showing the volume of supply chain job posts mentioning AI/ML skills increased by 116% in 2023, with P&G, Colgate-Palmolive, Nike, and Tesla leading the charge2.
Acquiring AI skills is lucrative for job seekers with research3 finding workers with AI skills command salaries up to 40% higher than their less tech-savvy peers.
Kevin O’Marah, Co-Founder & Chief Research Officer, Zero100 commented: “No one wants to risk being left behind in the rush to embrace AI, and the companies running the world’s biggest supply chains are wasting no time in upskilling their workforce to capitalise on the AI opportunity.
“The global supply chains of tomorrow will be AI-empowered and fully digitised from end-to-end – a complete convergence of supply chain and IT that will fundamentally change the nature of supply chain work. Supply chain leaders are alive to this once-in-a-generation opportunity and investing heavily in experimentation. With demand for AI skills outstripping supply, we’re seeing companies throwing everything they’ve got at upskilling their workforce to set them on the path for a prosperous future.”
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Notes to eds
1 Source: Zero100 AI ROI Report of 312 supply chain leaders (92 of which at CSCO / COO / C-level) conducted in April/March 2024
2 AI, Carbon, and Talent Benchmarking report 3 According to Oxford Internet Institute https://www.ox.ac.uk/news/2023-10-24-artificial-intelligence-skills-can-increase-salaries-much-40#:~:text=Workers%20with%20artificial%20intelligence%20skills,Institute%2C%20and%20the%20Center%20for
About Zero100
The world’s most influential and forward-thinking Chief Operations and Supply Chain Officers partner with Zero100, a membership-based research and intelligence organization, to accelerate progress on Digital Supply Chain Transformation. Members share a common purpose – to harness new technology to re-invent the production, distribution, and consumption of physical goods around the world.
Zero100’s approach combines unique IP-led research and data, intimate executive-level events, personalized guidance, and access to an extensive community of influential thinkers and voices from within, and beyond, supply chain.
The company is headquartered in London, UK, with offices in New York, USA.
Zero100 members include Walmart, Google, Unilever, Volvo Cars, PUMA, Bayer Crop Science, The Estée Lauder Companies, Colgate-Palmolive, Cummins, Haleon, Kimberly
Economic activity in the logistics industry expanded in November, continuing a steady growth pattern that began earlier this year and signaling a return to seasonality after several years of fluctuating conditions, according to the latest Logistics Managers’ Index report (LMI), released today.
The November LMI registered 58.4, down slightly from October’s reading of 58.9, which was the highest level in two years. The LMI is a monthly gauge of business conditions across warehousing and logistics markets; a reading above 50 indicates growth and a reading below 50 indicates contraction.
“The overall index has been very consistent in the past three months, with readings of 58.6, 58.9, and 58.4,” LMI analyst Zac Rogers, associate professor of supply chain management at Colorado State University, wrote in the November LMI report. “This plateau is slightly higher than a similar plateau of consistency earlier in the year when May to August saw four readings between 55.3 and 56.4. Seasonally speaking, it is consistent that this later year run of readings would be the highest all year.”
Separately, Rogers said the end-of-year growth reflects the return to a healthy holiday peak, which started when inventory levels expanded in late summer and early fall as retailers began stocking up to meet consumer demand. Pandemic-driven shifts in consumer buying behavior, inflation, and economic uncertainty contributed to volatile peak season conditions over the past four years, with the LMI swinging from record-high growth in late 2020 and 2021 to slower growth in 2022 and contraction in 2023.
“The LMI contracted at this time a year ago, so basically [there was] no peak season,” Rogers said, citing inflation as a drag on demand. “To have a normal November … [really] for the first time in five years, justifies what we’ve seen all these companies doing—building up inventory in a sustainable, seasonal way.
“Based on what we’re seeing, a lot of supply chains called it right and were ready for healthy holiday season, so far.”
The LMI has remained in the mid to high 50s range since January—with the exception of April, when the index dipped to 52.9—signaling strong and consistent demand for warehousing and transportation services.
The LMI is a monthly survey of logistics managers from across the country. It tracks industry growth overall and across eight areas: inventory levels and costs; warehousing capacity, utilization, and prices; and transportation capacity, utilization, and prices. The report is released monthly by researchers from Arizona State University, Colorado State University, Rochester Institute of Technology, Rutgers University, and the University of Nevada, Reno, in conjunction with the Council of Supply Chain Management Professionals (CSCMP).
Specifically, 48% of respondents identified rising tariffs and trade barriers as their top concern, followed by supply chain disruptions at 45% and geopolitical instability at 41%. Moreover, tariffs and trade barriers ranked as the priority issue regardless of company size, as respondents at companies with less than 250 employees, 251-500, 501-1,000, 1,001-50,000 and 50,000+ employees all cited it as the most significant issue they are currently facing.
“Evolving tariffs and trade policies are one of a number of complex issues requiring organizations to build more resilience into their supply chains through compliance, technology and strategic planning,” Jackson Wood, Director, Industry Strategy at Descartes, said in a release. “With the potential for the incoming U.S. administration to impose new and additional tariffs on a wide variety of goods and countries of origin, U.S. importers may need to significantly re-engineer their sourcing strategies to mitigate potentially higher costs.”
Grocers and retailers are struggling to get their systems back online just before the winter holiday peak, following a software hack that hit the supply chain software provider Blue Yonder this week.
The ransomware attack is snarling inventory distribution patterns because of its impact on systems such as the employee scheduling system for coffee stalwart Starbucks, according to a published report. Scottsdale, Arizona-based Blue Yonder provides a wide range of supply chain software, including warehouse management system (WMS), transportation management system (TMS), order management and commerce, network and control tower, returns management, and others.
Blue Yonder today acknowledged the disruptions, saying they were the result of a ransomware incident affecting its managed services hosted environment. The company has established a dedicated cybersecurity incident update webpage to communicate its recovery progress, but it had not been updated for nearly two days as of Tuesday afternoon. “Since learning of the incident, the Blue Yonder team has been working diligently together with external cybersecurity firms to make progress in their recovery process. We have implemented several defensive and forensic protocols,” a Blue Yonder spokesperson said in an email.
The timing of the attack suggests that hackers may have targeted Blue Yonder in a calculated attack based on the upcoming Thanksgiving break, since many U.S. organizations downsize their security staffing on holidays and weekends, according to a statement from Dan Lattimer, VP of Semperis, a New Jersey-based computer and network security firm.
“While details on the specifics of the Blue Yonder attack are scant, it is yet another reminder how damaging supply chain disruptions become when suppliers are taken offline. Kudos to Blue Yonder for dealing with this cyberattack head on but we still don’t know how far reaching the business disruptions will be in the UK, U.S. and other countries,” Lattimer said. “Now is time for organizations to fight back against threat actors. Deciding whether or not to pay a ransom is a personal decision that each company has to make, but paying emboldens threat actors and throws more fuel onto an already burning inferno. Simply, it doesn’t pay-to-pay,” he said.
The incident closely followed an unrelated cybersecurity issue at the grocery giant Ahold Delhaize, which has been recovering from impacts to the Stop & Shop chain that it across the U.S. Northeast region. In a statement apologizing to customers for the inconvenience of the cybersecurity issue, Netherlands-based Ahold Delhaize said its top priority is the security of its customers, associates and partners, and that the company’s internal IT security staff was working with external cybersecurity experts and law enforcement to speed recovery. “Our teams are taking steps to assess and mitigate the issue. This includes taking some systems offline to help protect them. This issue and subsequent mitigating actions have affected certain Ahold Delhaize USA brands and services including a number of pharmacies and certain e-commerce operations,” the company said.
Editor's note:This article was revised on November 27 to indicate that the cybersecurity issue at Ahold Delhaize was unrelated to the Blue Yonder hack.
The new funding brings Amazon's total investment in Anthropic to $8 billion, while maintaining the e-commerce giant’s position as a minority investor, according to Anthropic. The partnership was launched in 2023, when Amazon invested its first $4 billion round in the firm.
Anthropic’s “Claude” family of AI assistant models is available on AWS’s Amazon Bedrock, which is a cloud-based managed service that lets companies build specialized generative AI applications by choosing from an array of foundation models (FMs) developed by AI providers like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon itself.
According to Amazon, tens of thousands of customers, from startups to enterprises and government institutions, are currently running their generative AI workloads using Anthropic’s models in the AWS cloud. Those GenAI tools are powering tasks such as customer service chatbots, coding assistants, translation applications, drug discovery, engineering design, and complex business processes.
"The response from AWS customers who are developing generative AI applications powered by Anthropic in Amazon Bedrock has been remarkable," Matt Garman, AWS CEO, said in a release. "By continuing to deploy Anthropic models in Amazon Bedrock and collaborating with Anthropic on the development of our custom Trainium chips, we’ll keep pushing the boundaries of what customers can achieve with generative AI technologies. We’ve been impressed by Anthropic’s pace of innovation and commitment to responsible development of generative AI, and look forward to deepening our collaboration."
A growing number of organizations are identifying ways to use GenAI to streamline their operations and accelerate innovation, using that new automation and efficiency to cut costs, carry out tasks faster and more accurately, and foster the creation of new products and services for additional revenue streams. That was the conclusion from ISG’s “2024 ISG Provider Lens global Generative AI Services” report.
The most rapid development of enterprise GenAI projects today is happening on text-based applications, primarily due to relatively simple interfaces, rapid ROI, and broad usefulness. Companies have been especially aggressive in implementing chatbots powered by large language models (LLMs), which can provide personalized assistance, customer support, and automated communication on a massive scale, ISG said.
However, most organizations have yet to tap GenAI’s potential for applications based on images, audio, video and data, the report says. Multimodal GenAI is still evolving toward mainstream adoption, but use cases are rapidly emerging, and with ongoing advances in neural networks and deep learning, they are expected to become highly integrated and sophisticated soon.
Future GenAI projects will also be more customized, as the sector sees a major shift from fine-tuning of LLMs to smaller models that serve specific industries, such as healthcare, finance, and manufacturing, ISG says. Enterprises and service providers increasingly recognize that customized, domain-specific AI models offer significant advantages in terms of cost, scalability, and performance. Customized GenAI can also deliver on demands like the need for privacy and security, specialization of tasks, and integration of AI into existing operations.