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Asteri’s Approach to AI Job Displacement: Taking Control of the Workforce Skills

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AI’s rapid advancement is expected to replace millions of jobs globally in the next five years and drive the skill acquisition velocity to unprecedented levels. Asteri’s CEO, Julia Grace Samoylenko, emphasizes the need for balanced AI integration and upskilling and reskilling to navigate these changes successfully. She advocates for the ethical deployment of this revolution and highlights that it begins with the fundamental problem of understanding and actively measuring workforce skills, which is still addressed using antiquated approaches.

PALO ALTO, Calif. , June 25, 2024 /PRNewswire-PRWeb/ —  According to the National Fund for Workforce Solutions, AI is set to replace 75 million jobs globally by 2025. (1) Due to this phenomenon, concerns are being raised worldwide, and the US is no exception. A survey reveals that 60% of American workers feel unprepared for these advancements, and 35% fear job loss. (2) Julia Grace Samoylenko, founder and CEO of Asteri—the technology company behind Asteri.Mind, the AI technology specifically built for capturing and managing evolving skill sets within enterprise workforces—acknowledges the challenges of this revolution and emphasizes, “The main risk comes from thinking AI will answer all questions. Companies need to understand that just adding these tools alone will not be a recipe for success.”

“The main risk comes from thinking AI will answer all questions. Companies need to understand that just adding these tools alone will not be a recipe for success. It’s crucial to integrate AI responsibly, alongside robust upskilling initiatives.” – Julia Grace Samoylenko

The paradigm is already shifting. It’s estimated that 14% of workers globally have experienced job displacement due to AI, (3) and 50% of companies have implemented AI technologies. (4) Samoylenko underscores the necessity of understanding this technology to plan for upcoming challenges: “There are ethical concerns for AI. The private sector needs to take active steps to move their workforce to the new reality and help acquire new AI-centric skills, leveraging the technology advancements to boost productivity and efficiency.”

This sets an unprecedented challenge for both employees and businesses. It’s estimated that within the next three years, the retraining of 120 million workers will be necessary. (4) Samoylenko’s vision for Asteri aligns with the World Economic Forum’s call for reskilling half the global workforce by 2025, (5) positioning Asteri as a leader in the skills-centric talent revolution.

Crisis Can Also Mean Opportunity
Paradigmatically, it is also estimated that AI will create 133 million new jobs, leading to a net gain of 58 million jobs; the healthcare, education, and public sectors are projected to see significant job growth due to this. (1) Workers, however, need to step up their game and many are conscious about it: 40 believe they need upskilling to handle AI effectively. (5)

The key to success for companies in this evolving landscape is the reskilling of their workforce. Samoylenko explains, “Paying for the benefits of AI requires a workforce that can utilize AI and other emerging skills and technologies to the fullest. In many cases, there are not enough experts in the workforce where you can just hire who you need. Instead, you need to build the workforce of the future with much of the talent you already have. This results in significant productivity gains and less downtime due to layoffs.”

“If AI and automation can free up the workforce, enable them to be more productive, and create space to reskill and upskill them, then part of the initial investment to adopt these new technologies gets covered”, she highlights. Samoylenko also points out that ethical concerns for AI should be addressed and warns especially about the dangers of automation decisions without human oversight: “AI is not best suited to replace humans but is perfectly suited to digest large amounts of data and be a tool for learning and decision-making”.

The Answer Lays Within AI-Revolution
With the rapid advancement of technology, equipping employees with the new knowledge they need to face this world is essential to keep them relevant and competitive in the evolving job market. Comprehensive upskilling and reskilling initiatives help employees transition to roles less susceptible to automation, enhancing their productivity and leveraging AI to their advantage. Thus, educating employees about AI alleviates fears and negative sentiments, fostering a more inclusive and informed workforce.

Accelerating skills acquisition, triggered by AI, means learning new skills takes weeks or even days now, versus years less than a decade ago. That’s why businesses need to completely transform how they evaluate and develop their workforce skills. Traditional skill assessment methods—like assessment centers, manual input, surveys, and consulting—present limitations due to resource intensity, incompleteness, and data quality concerns. This is where innovative approaches like those developed by Asteri come into play. Asteri’s AI-driven skills classification, extraction, and inference continuously identify actively practiced skills, existing skill gaps, and forecast future skill demands, enabling targeted training initiatives that align with the evolving job market.

In this new era, old methods have become slow and biased. The new solutions start with understanding how skills evolve, and with “evidence-based” continuous skill assessment that requires AI to infer skills and proficiency levels. AI can also introduce transparency into skill assessments, effectively mitigating biases. By standardizing evaluation criteria and leveraging data-driven insights, it ensures fair and impartial assessments. Asteri’s approach to using AI for skill assessment promotes equitable career growth and development based on genuine abilities, bypassing biases often associated with traditional methods. This levels the playing field, ensuring employees are evaluated on their true skills, not managerial biases.

Addressing existing inequalities through a transparent AI assessment system ensures all employees are measured uniformly, without human prejudices. “This fast-ever evolving landscape calls for an innovative approach to workforce management not only addresses current challenges but also positions companies to thrive in the AI-driven future”, Samoylenko concludes.

About Asteri:
In an era of rapid technological change and evolving job markets, Julia Grace Samoylenko launched Asteri from Palo Alto, California—a technology startup dedicated to managing the ever-evolving skill sets within enterprise workforces. With over a decade of Fortune 500 experience, she leads Asteri in harnessing AI to analyze digital traces of employee work and transform them into evidence-based workforce skills data. Asteri’s AI engine, trained on hundreds of thousands of skill-related records, enhances the accuracy of skill extraction, inference, and prediction. Additionally, the team supports companies in enhancing their AI-related skills by bringing visibility into which jobs and skills will be replaced by AI—a critical concern for all enterprise leaders. This innovative method not only anticipates the needs of tomorrow’s workforce—echoing the World Economic Forum’s call for reskilling half the global workforce by 2025—but also positions Asteri as a leader in the skills-centric talent revolution. Learn more about how they are pioneering the skills-centric talent revolution at https://asteri.ai.

References
1. “AI and the Future of Work.” National Fund for Workforce Solutions, 13 Mar. 2024, ationalfund.org/ai-and-the-future-of-work/.
2. Hollenbeck, Eric. “Workers Sound the Alarm on AI Workplace Readiness.” WSU Insider, 25 Jan. 2024, news.wsu.edu/news/2024/01/25/american-workers-sound-the-alarm-on-ai-workplace-readiness/.
3. SEO.AI’s Content Team. “AI Replacing Jobs Statistics: The Impact on Employment in 2023.” Seo.ai, 15 Jan. 2024, seo.ai/blog/ai-replacing-jobs-statistics.
4. Apotheker, Jessica, et al. “From Potential to Profit with GenAI.” BCG Global, Boston Consulting Group, 8 Jan. 2024, bcg.com/publications/2024/from-potential-to-profit-with-genai.
5. Machuel, Denis. “A Majority of Workers Want AI Training from Their Companies. We Must Empower Them.” World Economic Forum, 23 Jan. 2024, weforum.org/agenda/2024/01/ai-training-workforce/.

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Chef Robotics Physical AI Models Can Now Automate Baked Goods Packing

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SAN FRANCISCO, April 29, 2026 /PRNewswire/ — Chef Robotics, a leader in physical AI for the food industry, today announced that Chef robots can now automate tray assembly for baked goods packing. The application places baked products, such as burger buns, chocolate chip cookies, biscotti, butter cookies, biscuits, fortune cookies, granola bars, rusks, and shortbreads into trays and packaging containers before sealing.

Watch Chef robots in action.

Baked goods packing has historically been difficult to automate for high-mix production. Each item behaves differently on the production line—a granola bar compresses under the wrong grip, while a biscotti or rusk can crack if placed at the wrong angle. Surface textures range from glazed and smooth to crumbly and irregular, and strict presentation requirements leave little room for error. This variability has made it challenging for automation systems to reliably handle baked goods at production speeds, leaving food manufacturers dependent on manual labor and traditional bakery equipment.

To address this, Chef built its baked goods packing application on its existing piece-picking capability, which uses Chef’s AI-powered computer vision and physical AI models trained across diverse real-world production environments. This allows Chef robots to assess each item’s position, shape, and orientation in real time and determine how to pick the items from the pan and place them quickly and precisely without damaging them.

The baked goods packing application supports four distinct placement capabilities.

First, Chef’s vision system detects the angle at which each item sits in the pan and reorients it after picking, placing it on the tray at the exact angle required, regardless of its original position, enabling retail-ready presentation for SKUs that require precise angular placement.

Second, Chef robots can place multiple baked goods into the same packaging container in a single automated pass, completing full tray assembly without manual intervention.

Third, for packaging containers with multiple small compartments, Chef robots can precisely place items into each designated section, including multiple items in the same compartment, using Chef’s AI vision model to detect compartment positions and orientations in real time.

Fourth, Chef’s vision system identifies the exact center of each tray and places every item at a predefined offset from that center, ensuring a uniform, consistent arrangement across every pack regardless of how trays arrive on the conveyor.

For food manufacturers evaluating bakery systems and baked goods packaging automation, the application offers higher throughput, reduced labor dependency, and consistent presentation across shifts. The capability runs on Chef’s existing robotic hardware and software, allowing manufacturers to deploy it without requiring any changes to their production lines.

Chef’s baked goods packing application is available in the U.S., Canada, Germany, and the UK and is included as part of Chef’s robotics-as-a-service (RaaS) pricing model.

About Chef Robotics
Chef is the first company to have commercialized a scalable AI-driven food robotics solution. With over 104 million servings made in production, Chef leverages ChefOS, an AI platform for food manipulation, to offer a Robotics-as-a-Service solution that helps industry-leading food companies increase production volume and meet demand. Headquartered in San Francisco, CA, Chef aims to empower humans to do what humans do best by accelerating the advent of intelligent machines. Visit https://chefrobotics.ai to learn more.

View original content:https://www.prnewswire.com/news-releases/chef-robotics-physical-ai-models-can-now-automate-baked-goods-packing-302756923.html

SOURCE Chef Robotics

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Air Products to Expand Industrial Gas Supply for Samsung Electronics’ Next-Generation Semiconductor Fab in South Korea

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New investment underscores the company’s long-term commitment to Korea and its leading role in the global semiconductor industry 

LEHIGH VALLEY, Pa., April 29, 2026 /PRNewswire/ — Air Products (NYSE:APD), a world-leading industrial gases company and serving Samsung globally, today announced it has been selected by Samsung to supply industrial gases for its new advanced semiconductor fab in Pyeongtaek, Gyeonggi Province, South Korea.

Under the agreement, Air Products will build, own and operate multiple state-of-the-art production facilities and a bulk specialty gas supply system to supply nitrogen, oxygen, argon, and hydrogen for Samsung’s new semiconductor fab. The new facilities are expected to come onstream in multiple phases from 2028 through 2030.

Air Products has a long track record of executing multiple phase expansions in Pyeongtaek to support Samsung’s growing manufacturing needs. This latest project represents Air Products’ largest investment to date in the semiconductor industry and will establish Pyeongtaek as the company’s single largest operations site globally supporting the electronics industry. 

“Air Products is honored to be selected once again by Samsung and to have their continued confidence as a trusted partner supporting their strategic growth plans,” said SR Kim, President, Air Products Korea. “This significant investment reinforces Air Products’ role as a leading global supplier to the semiconductor industry and underscores our long-standing commitment to supporting our strategic customers with safety, reliability, efficiency and excellent service.”

Air Products has served the global electronics industry for more than 40 years, supplying industrial gases safely and reliably to many of the world’s leading technology companies. The company has operated in Korea for more than 50 years and has established a strong position in electronics and manufacturing sectors.

About Air Products

Air Products (NYSE: APD) is a world-leading industrial gases company in operation for over 85 years focused on serving energy, environmental, and emerging markets and generating a cleaner future. The Company supplies essential industrial gases, related equipment and applications expertise to customers in dozens of industries, including refining, chemicals, metals, electronics, manufacturing, medical and food. As the leading global supplier of hydrogen, Air Products also develops, engineers, builds, owns and operates some of the world’s largest clean hydrogen projects, supporting the transition to low- and zero-carbon energy in the industrial and heavy-duty transportation sectors. Through its sale of equipment businesses, the Company also provides turbomachinery, membrane systems and cryogenic containers globally.

Air Products had fiscal 2025 sales of $12 billion from operations in approximately 50 countries. For more information, visit airproducts.com or follow us on LinkedInXFacebook or Instagram.

This release contains “forward-looking statements” within the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These forward-looking statements are based on management’s expectations and assumptions as of the date of this release and are not guarantees of future performance. While forward-looking statements are made in good faith and based on assumptions, expectations and projections that management believes are reasonable based on currently available information, actual performance and financial results may differ materially from projections and estimates expressed in the forward-looking statements because of many factors, including the risk factors described in our Annual Report on Form 10-K for the fiscal year ended September 30, 2025 and other factors disclosed in our filings with the Securities and Exchange Commission. Except as required by law, we disclaim any obligation or undertaking to update or revise any forward-looking statements contained herein to reflect any change in the assumptions, beliefs or expectations or any change in events, conditions or circumstances upon which any such forward-looking statements are based.

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