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ADP Research: Only 24% of Global Workers Are Confident They Have Skills for Career Advancement

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Study examines the untapped potential of workers in the first of a series of studies comprising the refreshed “People at Work 2025” report, built on the ADP Research Global Workforce Survey

ROSELAND, N.J., Jan. 13, 2025 /PRNewswire/ — Employers that invest in continued learning and on-the-job development stand to reap bottom-line benefits that go beyond having a well-prepared workforce. According to the first study in ADP Research’s refreshed “People at Work 2025” report series, only a quarter (24%) of the global workforce is confident they have the skills needed to advance to the next job level in the near future, while just 17 percent of workers strongly agree their employers are investing in the skills they need for career advancement.

For employers, the need to prioritize skills development is deeper than building a workforce that keeps pace with today’s dynamic workplace. ADP Research’s analysis found providing employees with the skills of tomorrow is correlated to productivity, retention and reputation.

“Our research shows that a skilled workforce is more loyal to their employers—and more productive. Yet only a small fraction of workers are upskilled within two years of being hired,” said Nela Richardson, chief economist, ADP. “If companies want to benefit from the enormous technological advancement to come, they must start with investing in the skills and career progression of their workers.”

The skills development analysis launches “People at Work 2025,” ADP Research’s annual lens into the world of work that has been given a data refresh in 2025 in addition to being revamped as a series of reports on various workplace topics. The refreshed report is built on workplace data and topics from ADP Research’s Global Workforce Survey which has been conducted since 2015. “People at Work” provides comprehensive worker sentiment on how workers feel and think, as well as what they expect from their employer, with a purpose to empower employers to meet challenges and capitalize on opportunities amid a rapidly changing world of work.

The Untapped Potential of Workers 
In the first installment of the “People at Work 2025” report series, the ADP Research team examined the impact of skills development learned through on-the-job training and found most workers think their employers could be doing better when it comes to skills development. The analysis further finds the business opportunity that comes with building out comprehensive training programs that help ensure employees are prepared for tomorrow’s world of work.

“We found that education is not enough to fill the skills gap,” said Mary Hayes, research director of People & Performance at ADP Research. “Only 24 percent of workers are confident that they have the skills needed to advance in the next three years of their careers. The world of work is changing at light speed, and organizations need to do their part to close the skills gap.”

Other key findings include:

The opportunity to get ahead is important, and not just for workers. When workers globally were asked to provide the top reasons why they would stay with their employer, the opportunity for career advancement is second only to flexibility in scheduling.Workers who feel strongly their employer is providing the training they need are nearly 6 times more likely to recommend their company as a great place to work.These same workers are also 3.3 times more likely to describe themselves as highly-productive.They’re also twice as likely to say they have no intent to leave their organization compared to workers who have the skills but lack on-the-job training opportunities.Cycle workers, those that do similar repetitive tasks daily, in particular have a dismal view of employer investment, with only 9 percent of men and 7 percent of women expressing satisfaction in their upskilling opportunities.

The refreshed “People at Work 2025” series will dive deep into key topics at a market-by-market level, crucial for the increasingly borderless world of work. Digging into some of the market-by-market findings from the skills development launch story, ADP Research’s analysis reveals:

Workers in the Middle East & Africa were most likely to believe they have the skills needed to advance their career to the next job level in the next three years (38%), followed by Latin America (32%), North America (22%), Asia-Pacific (21%), and Europe (17%).Workers in the Middle East & Africa were also the most likely to say their employer invests in the skills needed to advance their career in the future (28%), followed by North America (18%), Latin America and Asia-Pacific (17%), and Europe (12%).By markets, workers in Nigeria were the most likely to believe they have the skills needed to advance their career to the next job level in the next three years (45%), followed by Egypt (44%), South Africa (42%), India and Brazil (37%), Saudi Arabia (36%), Chile (32%), Argentina (30%), and Peru (30%).By markets, workers in Egypt were the most likely to say their employer invests in the skills needed to advance their career in the future (35%), followed by India (32%), South Africa (29%), Saudi Arabia (28%), Nigeria (27%), Brazil and Thailand (24%), Vietnam and Singapore (23%), and Philippines (21%).

“People at Work 2025” Report Series Methodology
For the first time, “People at Work” is built on the ADP Research Global Workforce Survey, a robust study conducted annually since 2015. The survey was designed by ADP Research’s team of analysts by obtaining information about the labor market from the perspective of workers themselves, with the goal of providing insights that can improve the world of work by better understanding worker sentiment and expectations.

Based on survey data from nearly 38,000 working adults in 34 markets across six continents, “People at Work 2025” features a more robust, representative sample of the global workforce to provide regional and market-to-market comparisons of worker sentiment in the Asia-Pacific region, Europe, Latin America, the Middle East and Africa, and North America.

Respondents come from a wide variety of industries, educational backgrounds, on-site and remote work environments and skill sets. They represent a range of management and individual contributor roles, working for employers of all sizes.

A unique attribute of the “People at Work 2025” report series is its measurement of worker sentiment in granular detail across worker types using a proprietary methodology developed by ADP Research. In addition to demographic and employer characteristics, survey respondents are classified by the type of work they do – knowledge, skilled task, or cyclical – regardless of industry.

“People at Work’s” ability to gather sentiment along these different worker and geographical dimensions provides employers with a fine-tuned and granular view of the global workforce that they can leverage to better understand their workforces and drive growth through data-driven talent decisions.

“The future of work will be increasingly global and dynamic in its priorities,” said Richardson. “The new People at Work series format enables a more focused analysis of the data by topic and region, better ensuring worldwide business leaders with varying needs are provided with the same level of actionable research on a wide range of subjects impacting their employees.”

Each report will pair global trends with market-by-market insights on workplace topics ranging from artificial intelligence and inflation’s impact on having multiple jobs, to wage trends and career development.

Stay Up-to-Date on the “People at Work 2025” Report Series
Publishing throughout early 2025, the revamped “People at Work 2025” report series can help companies stay on the right track for today’s workplace, while prepare them to capitalize on the opportunities that will come with the future of work.

To stay current on the latest studies in the “People at Work 2025” report series, visit here.

About ADP Research
The mission of ADP Research is to make the future of work more productive through data-driven discovery. Companies, workers, and policymakers rely on our finely tuned data and unique perspective to make informed decisions that impact workplaces around the world.

About ADP (NASDAQ – ADP) 
Designing better ways to work through cutting-edge products, premium services and exceptional experiences that enable people to reach their full potential. HR, Talent, Time Management, Benefits and Payroll. Informed by data and designed for people. Learn more at ADP.com.

ADP, the ADP logo, and Always Designing for People, ADP National Employment Report, ADP Research Institute and ADP Research are trademarks of ADP, Inc. All other marks are the property of their respective owners.

Copyright © 2025 ADP, Inc. All rights reserved. 

 

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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