Ben Ames has spent 20 years as a journalist since starting out as a daily newspaper reporter in Pennsylvania in 1995. From 1999 forward, he has focused on business and technology reporting for a number of trade journals, beginning when he joined Design News and Modern Materials Handling magazines. Ames is author of the trail guide "Hiking Massachusetts" and is a graduate of the Columbia School of Journalism.
In a push to automate manufacturing processes, businesses around the world have turned to robots—the latest figures from the Germany-based International Federation of Robotics (IFR) indicate that there are now 4,281,585 robot units operating in factories worldwide, a 10% jump over the previous year. And the pace of robotic adoption isn’t slowing: Annual installations in 2023 exceeded half a million units for the third consecutive year, the IFR said in its “World Robotics 2024 Report.”
As for where those robotic adoptions took place, the IFR says 70% of all newly deployed robots in 2023 were installed in Asia (with China alone accounting for over half of all global installations), 17% in Europe, and 10% in the Americas. Here’s a look at the numbers for several countries profiled in the report (along with the percentage change from 2022).
Manufacturing and logistics workers are raising a red flag over workplace quality issues according to industry research released this week.
A comparative study of more than 4,000 workers from the United States, the United Kingdom, and Australia found that manufacturing and logistics workers say they have seen colleagues reduce the quality of their work and not follow processes in the workplace over the past year, with rates exceeding the overall average by 11% and 8%, respectively.
The study—the Resilience Nation report—was commissioned by UK-based regulatory and compliance software company Ideagen, and it polled workers in industries such as energy, aviation, healthcare, and financial services. The results “explore the major threats and macroeconomic factors affecting people today, providing perspectives on resilience across global landscapes,” according to the authors.
According to the study, 41% of manufacturing and logistics workers said they’d witnessed their peers hiding mistakes, and 45% said they’ve observed coworkers cutting corners due to apathy—9% above the average. The results also showed that workers are seeing colleagues take safety risks: More than a third of respondents said they’ve seen people putting themselves in physical danger at work.
The authors said growing pressure inside and outside of the workplace are to blame for the lack of diligence and resiliency on the job. Internally, workers say they are under pressure to deliver more despite reduced capacity. Among the external pressures, respondents cited the rising cost of living as the biggest problem (39%), closely followed by inflation rates, supply chain challenges, and energy prices.
“People are being asked to deliver more at work when their resilience is being challenged by economic and political headwinds,” Ideagen’s CEO Ben Dorks said in a statement announcing the findings. “Ultimately, this is having a determinantal impact on business productivity, workplace health and safety, and the quality of work produced, as well as further reducing the resilience of the nation at large.”
Respondents said they believe technology will eventually alleviate some of the stress occurring in manufacturing and logistics, however.
“People are optimistic that emerging tech and AI will ultimately lighten the load, but they’re not yet feeling the benefits,” Dorks added. “It’s a gap that now, more than ever, business leaders must look to close and support their workforce to ensure their staff remain safe and compliance needs are met across the business.”
Artificial intelligence (AI) and data science were hot business topics in 2024 and will remain on the front burner in 2025, according to recent research published in AI in Action, a series of technology-focused columns in the MIT Sloan Management Review.
In Five Trends in AI and Data Science for 2025, researchers Tom Davenport and Randy Bean outline ways in which AI and our data-driven culture will continue to shape the business landscape in the coming year. The information comes from a range of recent AI-focused research projects, including the 2025 AI & Data Leadership Executive Benchmark Survey, an annual survey of data, analytics, and AI executives conducted by Bean’s educational firm, Data & AI Leadership Exchange.
The five trends range from the promise of agentic AI to the struggle over which C-suite role should oversee data and AI responsibilities. At a glance, they reveal that:
Leaders will grapple with both the promise and hype around agentic AI. Agentic AI—which handles tasks independently—is on the rise, in the form of generative AI bots that can perform some content-creation tasks. But the authors say it will be a while before such tools can handle major tasks—like make a travel reservation or conduct a banking transaction.
The time has come to measure results from generative AI experiments. The authors say very few companies are carefully measuring productivity gains from AI projects—particularly when it comes to figuring out what their knowledge-based workers are doing with the freed-up time those projects provide. Doing so is vital to profiting from AI investments.
The reality about data-driven culture sets in. The authors found that 92% of survey respondents feel that cultural and change management challenges are the primary barriers to becoming data- and AI-driven—indicating that the shift to AI is about much more than just the technology.
Unstructured data is important again. The ability to apply Generative AI tools to manage unstructured data—such as text, images, and video—is putting a renewed focus on getting all that data into shape, which takes a whole lot of human effort. As the authors explain “organizations need to pick the best examples of each document type, tag or graph the content, and get it loaded into the system.” And many companies simply aren’t there yet.
Who should run data and AI? Expect continued struggle. Should these roles be concentrated on the business or tech side of the organization? Opinions differ, and as the roles themselves continue to evolve, the authors say companies should expect to continue to wrestle with responsibilities and reporting structures.
Put another way, only 6% of Fortune 500 companies scored an A for their cybersecurity efforts, as companies worldwide hustle to defend against threats caused by the increasing sophistication of cyberattacks, coupled with the expanding attack surface due to cloud adoption, remote work, and complex supply chains.
That assessment comes from a Cybernews Business Digital Index report from the Vilnius, Lithuania-based group, which evaluated risk across seven key areas: software patching, web application security, email security, system reputation, SSL Configuration, system hosting, and data breach history.
Despite those poor results, the category of transportation and logistics companies had the highest share of A-level companies (20%). That was following by technology and IT (18%), healthcare and pharmaceuticals (10%), and construction and engineering (9%), the security experts found.
The logistics tech firm incubator Zebox, a unit of supply chain giant CMA CGM Group, plans to show off 10 of its top startup businesses at the annual technology trade show CES in January, the French company said today.
Founded in 2018, Zebox calls itself an international innovation accelerator expert in the fields of maritime industry, logistics & media. The Marseille, France-based unit is supported by major companies in the sector, such as BNSF Railway, Blume Global, Trac Intermodal, Vinci, CEVA Logistics, Transdev and Port of Virginia.
To participate in that program, Zebox said it chose 10 French and American companies that are working to leverage cutting-edge technologies to address major industrial challenges and drive meaningful transformations:
Aerleum: CO2 capture and conversion technology producing cost-competitive synthetic fuels and chemicals, enabling decarbonization in hard-to-electrify sectors such as maritime and aviation. Akidaia (CES Innovation Award Winner 2024): Offline access control system offering robust cybersecurity, easy deployment, and secure operation, even in remote or mobile sites.
BE ENERGY: Innovative clean energy solutions recognized for their groundbreaking impact on sustainable energy.
Biomitech (CES Innovation Award Winner 2025): Air purification system that transforms atmospheric pollution into oxygen and biomass through photosynthesis.
Flying Ship Technologies, Corp,: Building unmanned, autonomous, and eco-friendly ground-effect vessels for efficient cargo delivery to tens of thousands of destinations.
Gazelle: Next-generation chargers made more compact and efficient by advanced technology developed by Wise Integration.
HawAI.tech: Hardware accelerators designed to enhance probabilistic artificial intelligence, promoting energy efficiency and explainability.
Okular Logistics: AI-powered smart cameras and analytics to automate warehouse operations, ensure real-time inventory accuracy, and reduce costs.
OTRERA NEW ENERGY: Compact modular reactor (SMR) harnessing over 50 years of French expertise to provide cost-effective, decarbonized electricity and heat.
Zadar Labs, Inc.: High-resolution imaging radars for surveillance, autonomous systems, and beyond.
Amazon package deliveries are about to get a little bit faster—thanks to specially outfitted delivery vans and the magic of AI.
Last month, the mega-retailer introduced its Vision-Assisted Package Retrieval (VAPR)solution, an AI (artificial intelligence)-powered system designed to cut the time it takes drivers to retrieve packages from the back of the van.
According to Amazon, VAPR kicks in when the van arrives at a delivery location, automatically projecting a green “O” on all packages that will be delivered at that stop and a red “X” on all other packages. Not only does that allow the driver to find the right package in seconds, the company says, but it also eliminates the need to organize packages by stop, read and scan labels, and manually check the customer’s name and address to ensure they have the right parcels. As Amazon puts it, “[Drivers] simply have to look for VAPR’s green light, grab, and go.”
The technology combines artificial intelligence (AI) with Amazon Robotics Identification (AR-ID), a form of computer vision originally developed to help fulfillment centers speed up putaway and picking operations. Linked to the van’s delivery route navigation system, AR-ID replaces the need for manual barcode scanning by using specially designed light projectors and cameras mounted inside the van to locate and decipher multiple barcodes in real time, according to the company.
In field tests, VAPR reduced perceived physical and mental effort for drivers by 67% and saved more than 30 minutes per route, Amazon says. The company now plans to roll out VAPR in 1,000 Amazon electric delivery vans from Rivian by early 2025.