Pearson is a global education company that provides a wide range of learning materials and services. It offers textbooks, digital courseware, online learning platforms, and a rich set of teaching and learning resources for primary and secondary schools, higher education, vocational training, and English language learning. Its products work through multiple channels: physical textbooks and digital courseware, subscription-based online platforms, and customized learning solutions for institutions, along with training and certification programs. Pearson differentiates itself with a large, multi-market footprint, multiple revenue streams, and a focus on combining print and digital resources with analytics and educator support to serve learners from early education through adulthood. Its goal is to make learning more accessible and effective, helping students, teachers, and institutions achieve their academic and professional goals.
Company Size
1-10
Company Stage
IPO
Headquarters
London, United Kingdom
Founded
1844
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Pearson acquires Workera, a pioneer in ai-native enterprise assessment and skills verification. Sep 29, 2026, 04:00 ET Pearson strengthens enterprise offering with adaptive assessment and skills intelligence to meet growing demand for workforce transformation in the era of AI LONDON, Sept. 29, 2026 /PRNewswire/ - Pearson (FTSE: PSON.L), the world's lifelong learning company, today announced it has agreed to acquire Workera, the AI-native skills intelligence platform used by leading enterprises to verify what their workforce can actually do. Workera combines agentic AI, psychometrics and adaptive assessment to measure demonstrated proficiency through role-specific scenarios and simulations. Its proven technology and top tier talent will accelerate Pearson's ability to help enterprises build the workforce they need for AI-driven transformation, reflecting Pearson's continued investment in enterprise skilling. Workera's technology gives business leaders: * A live baseline of workforce capability, including AI fluency * Targeted development, sending each employee to the specific learning that closes their gaps * Verified outcomes that show whether skills actually improved, giving leaders defensible ROI on AI and learning investments * Better talent decisions across hiring, internal mobility, redeployment and strategic workforce planning Vishaal Gupta, President, Enterprise Learning & Skills at Pearson, said: "In the era of AI, an organization's ability to assess and develop skills will be key. Workera has pioneered a new approach to continuously measuring and validating workforce capabilities, giving organizations an accurate understanding of the skills they have today and what they will need in the future. Combining Workera's talented workforce and technology, with Pearson's expertise in learning and assessment, strengthens our ability to help enterprises close skills gaps faster and build more agile and capable workforces." Kian Katanforoosh, founder and CEO, Workera, said: "The future will require all of us to develop new skills and learn faster than ever. We built Workera to harness AI so people can discover what they're capable of, organizations can recognize talent they might otherwise overlook, and learning can lead to progress you can actually see. Pearson has helped people learn and grow around the world for generations. Together, we'll bring Workera's AI and Pearson's deep expertise in learning and assessment to a shared ambition: building the gold standard for workforce readiness and helping people achieve more than they thought possible." Workera serves blue-chip enterprises, including leaders such as ServiceNow, Accenture, and the United States Space Force. Upon completion, Workera will become part of Pearson's Enterprise Learning & Skills business unit, and Workera co-founder and CEO Kian Katanforoosh will join its leadership team. Workera was founded in 2019 and is headquartered in Palo Alto, California, USA. The company serves enterprise and government customers and has a team of approximately 60 people. Completion of the acquisition is expected to occur in H2 2026 subject to regular closing conditions, including any required regulatory filings or approvals. About Pearson At Pearson, our purpose is simple: to help people realise the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. That's why our c.18,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world's lifelong learning company, serving customers in nearly 200 countries with digital learning and assessments experiences, verified skills, and credentials. For us, learning isn't just what we do. It's who we are. Visit us at plc.pearson.com. | Media | Dan Nelson (US) [email protected] | Laura Ewart (UK) [email protected] | | Investor Relations | Alex Shore Steph Crinnegan Eliza Hardwick Brennan Matthews [email protected] | +44 (0) 7720 947 853 +44 (0) 7780 555 351 +44 (0) 7909 532 801 +1 (332) 238-8785 https://plc.pearson.com/en-GB/investors |
Pearson has agreed to acquire Workera, a Palo Alto-based AI-native skills intelligence platform founded in 2019. The acquisition aims to strengthen Pearson's enterprise learning offerings by integrating Workera's technology, which combines artificial intelligence and psychometrics to assess employee skills through real-world scenarios and simulations. Workera's platform provides real-time workforce assessments, helping organisations identify skill gaps and create targeted development paths. The company serves major clients including ServiceNow and Accenture. Upon completion, Workera will join Pearson's Enterprise Learning & Skills division. The acquisition is expected to close in the second half of 2026, subject to regulatory approvals. The merger aims to enhance workforce readiness as AI continues reshaping industries globally.
Pearson and Namibox sign strategic cooperation memorandum, join forces to shape a new global learning and education landscape in the AI era. September 28, 2026 SHANGHAI, Sept. 28, 2026 /PRNewswire/ - During the 48th WorldSkills Competition, Pearson (NYSE: PSO), a global lifelong learning company, and Namibox (Nasdaq: NAMI), a China-based K-12 digital education platform, formally signed a strategic cooperation memorandum. The two parties will leverage world-class educational content, China's local digital technology, and AI implementation capabilities to pursue deep collaboration aligned with the industry trend of AI smart learning moving from "general-purpose tool empowerment" to "deep cultivation of vertical scenarios." The first products from the collaboration will launch in Greater China and subsequently expand globally, with the initial phase expected to cover millions of learners. Partnership Elevated: Namibox Launches Global Deployment of AI Education Capabilities The two companies share a deep history. Pearson is also a strategic investor in Namibox. This signing marks the third phase of deep collaboration, following their strategic cooperation in 2018 and the joint launch of the "Pearson Teaching Box" in 2020. It elevates years of content and channel collaboration into a systematic strategic alignment that connects China's AI implementation experience with the global education market. This signing is Namibox's first project for the global deployment of AI learning capabilities through deep collaboration with an international education group. For Namibox, its globalization strategy has officially upgraded from early-stage regional content distribution to the systematic export of AI technology and product capabilities. Leveraging Pearson's global base of tens of millions of print textbook users, combined with China's cost advantages and mature industrial structure in AI implementation, Namibox will open up a broad AI-powered digital language learning market for learners worldwide. According to The Business Research Company, the global AI education market was valued at approximately US$7.5 billion in 2025 and is projected to reach about US$42.5 billion by 2030, a CAGR of over 41%. The combination of a massive existing user base, China's unique AI industry advantages, and the sector's high growth rate opens up new room for Namibox's performance growth and is expected to create a differentiated global growth trajectory distinct from regional peers. Complementary Strengths: Content Standards Meet the Data Flywheel Xu Jin, Founder and CEO of Namibox, said Pearson has a century-spanning system of premium global education resources and a highly influential English learning product matrix, while Namibox has long been deeply engaged in China's digital education landscape and excels at using digital technology to transform high-quality content into vivid learning experiences better tailored to local users. The collaboration is not a simple combination of content and technology. Pearson provides English assessment standards and instructional systems validated over a century, forming the "content foundation," while Namibox provides local learning data and scenario-based delivery capabilities, forming the "data entry point." Together, they create a complete closed loop that avoids the two types of pseudo-moats that AI education investors are most wary of: "wrapper-style" offerings and "hollow transformation" models. Namibox AI Smart Learning: From "Tool" to "Cognitive Engine" AI smart learning is undergoing a definitional upgrade. First-generation AI products were essentially efficiency tools. They saved time but did not change the learning path itself, nor did they fundamentally solve the challenge of personalized learning adaptation. The second form is the "cognitive engine" product: AI does more than judge right or wrong; it infers deep cognitive gaps from behavioral signals such as the answering process, time spent, error types, and repeated trial and error, skips mastered knowledge points, and dynamically generates a scaffolded, adaptive learning path. Its core competitiveness has never been about stacking computing power, but rather whether it can obtain fine-grained, authentic, and effective full-chain learning data. In the past, most AI education products could only capture final answers, not the complete thinking process, making it difficult to truly identify learners' ability blind spots. Pearson's century-old global English assessment standards provide a unified, horizontally comparable proficiency benchmark for learners at different stages, while Namibox uses learning behavior data from tens of millions of users in China to build localized AI models. The former precisely defines "which dimension a student is weak in," while the latter quickly generates "what to practice next," ultimately upgrading the learning experience from "passive learning" to "proactively filling cognitive gaps." Industry Trends and Implementation Path China's AI education sector has moved beyond concept hype and entered a deep-water phase focused on pedagogical accumulation, technology implementation, and compliance development. The market dividend from purely general-purpose large models has largely peaked. Vertical solutions that are deeply tailored to education scenarios and achieve two-way integration of content and algorithms are becoming the industry's core growth engine. According to iResearch's "2026 China GenAI + Education Industry Development Report," the total market for GenAI + education products and services in China reached RMB 344.2 billion in 2025 and is projected to reach RMB 891 billion by 2028, a CAGR of over 37%. The fastest-growing segment - "technology capability value" - is expected to grow from approximately RMB 66.4 billion to about RMB 202.3 billion, roughly tripling in three years. Over the long term, barriers to entry in AI education will continue to rise, and resources will concentrate among leading players with full-chain capabilities. Historically, the digital deployment of premium global education content has faced an industry-wide challenge: widely differing regional needs and high technology adaptation costs. Drawing on years of experience implementing AI education products in China, Namibox has become a key hub connecting Eastern and Western education markets, rapidly replicating AI learning capabilities proven at scale in China to different regions around the world. This also marks the first time a Chinese AI education company has leveraged the mature global network of a top international education group to achieve reverse global export of AI technological capabilities, fully breaking out of existing competition in China's domestic AI education sector and entering a global incremental blue ocean market worth US$40 billion. For public-market investors, this collaboration is not a one-off project-level tie-up, but a landmark inflection point in Namibox's upgrade from a "China K-12 digital education platform" to a "global AI education capability service provider." It represents one of the few rare combinations in the sector that possesses both "a century of global content asset endorsement" and "China-based AI implementation capabilities." It can both consolidate its core business by relying on China's AI education market growing at 37% and secure a unique first-mover advantage in overseas markets growing at a 41% CAGR. As product deployment progresses, the room to optimize its revenue structure and the certainty of long-term growth will become key anchors for the market to reassess its valuation logic. About Jinxin Technology Holding Company Headquartered in Shanghai, China, Jinxin Technology Holding Company is an innovative provider of digital content and interactive communication services. Through its flagship platform Namibox, the Company delivers intelligent, engaging, and curriculum-aligned products powered by advanced AI, AR, and digital human technologies. Jinxin Technology works closely with China's leading textbook publishers and educational platforms, providing AI-generated digital content for primary and middle school students. Its distribution channels include: * Namibox, the Company's flagship learning app * Telecom and broadcast operators * Third-party educational devices Safe Harbor Statements This announcement contains forward-looking statements. These statements are made under the "safe harbor" provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "aims," "future," "intends," "plans," "believes," "estimates," "confident," "potential," "continue," or other similar expressions. Jinxin may also make written or oral forward-looking statements in its periodic reports to the U.S. Securities and Exchange Commission, in its annual reports to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties. Statements that are not historical facts, including but not limited to statements about Jinxin's beliefs, plans and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties. A number of factors could cause actual results to differ materially from those contained in any forward-looking statement. Further information regarding these and other risks, uncertainties or factors is included in the Company's filings with the Securities and Exchange Commission. All information provided in this announcement is as of the date of this announcement, and the Company undertakes no obligation to update such information, except as required under applicable law. For Investor and Media Inquiries, Please Contact: Jinxin Technology Holding Company Investor Relations Department Email: [email protected]
Pearson research warns of a 'triple capability gap' emerging as AI adoption outpaces education and training in skilled occupations. Sep 24, 2026, 03:00 ET SHANGHAI, Sept. 24, 2026 /PRNewswire/ - Pearson (FTSE: PSON.L) today launched new research, For Every Future: Preparing Early-Career Skilled Trade, Technical and Service Talent for an AI-Infused World, at the WorldSkills International Conference 2026 in Shanghai. The report finds that as AI transforms skilled occupations, early-career talent is entering the workforce without the job-specific AI literacy, human skills, and practical experience it needs. What's new: Pearson's research warns of a growing 'triple capability gap' opening across skilled trade, technical and service occupations that keep hospitals, factories and infrastructure operating. This challenge is being driven by two trends. AI is reshaping these jobs faster than education and training systems can adapt, while experienced workers are retiring and taking decades of practical knowledge with them. Together, these shifts are changing how expertise is built - leaving a new generation of workers at risk of becoming AI-rich but experience-poor. As a result, employers increasingly need workers who can combine three capabilities at once: the judgment to apply AI safely and effectively, the human skills AI can't replace, and the hands-on expertise traditionally passed from one generation to the next. Left unaddressed, Pearson cautions the gap could make it harder for employers to maintain safety standards, sustain essential services and support economic growth. Why it matters: The challenge is no longer simply filling jobs. Skilled trade, technical and service occupations remain essential to modern economies, but the way expertise is developed within these careers is shifting. As AI reshapes these professions and experienced workers leave the workforce, the "triple capability gap" is making it harder for employers to sustain essential services and economic growth. Key findings: * AI is rapidly reshaping occupations not typically associated with the AI conversation. The bulk of the AI conversation has been centered on office-based knowledge work, but less attention has been given to how AI is changing skilled trade, technical and service jobs. As AI becomes embedded in their daily work, judgment, safety and human oversight become even more valuable. The challenge is ensuring education, training, and workplace learning keep pace with the changing nature of these roles. For example, one UK pharmacy industry participant said it takes 2-3 years to revise pharmacy technician education and training standards, while fewer than half of industrial machinery mechanics feel their training is preparing them for AI-enabled work. * Demand is rising for skilled trade, technical and service workers-at the same time these jobs are being reshaped by AI. Much of that demand will be driven by people retiring or leaving skilled jobs. 99% of skilled job openings in the UK, and 98.5% in the US, stem from replacing workers who retire, change careers, or leave the workforce. It's not only about filling jobs; it's about developing expertise faster and ensuring practical knowledge is passed from one generation to the next. * A new triple capability gap is emerging, changing how expertise is built. Skilled trade, technical, and service workers face a unique challenge. Their jobs require three things simultaneously: role-specific AI literacy and critical judgment (understand when to use AI, when to question it and how to apply it safely and responsibly), the human capabilities (communication, collaboration, adaptability, emotional intelligence and learning agility), and the institutional knowledge that retiring experts are taking with them. * Closing these gaps requires education, training, and workplace learning to evolve. They must build role-specific AI literacy and critical judgment, strengthen durable human capabilities, and expand opportunities to develop practical know-how through mentoring, observation, feedback, simulation, and hands-on experience. * The cost of inaction is significant. If these challenges aren't addressed, employers will struggle to find and develop the skilled workers they need, while expertise gaps could affect safety-critical occupations and essential services. 98% of surveyed pharmacy technicians rated exactness and accuracy as extremely important, while 44% rated the consequences of error as extremely serious. What people are saying: Sharon Hague, President, English Language Learning & UK CEO, Pearson, said: "We're entering a period where many of the workers who keep hospitals, factories and critical infrastructure running will need three things at once: the judgment to work safely with AI, the human skills technology can't replace, and the hands-on expertise traditionally learned from experienced colleagues. The challenge is that demand for these workers is rising just as many experts are retiring and taking decades of practical knowledge with them. If we don't rethink how expertise is developed, the gap between what employers need and what workers can do will continue to grow." About the Research: The research combines labour market and AI exposure analysis in the US, UK and China with surveys, interviews and roundtables involving employers, educators, industry bodies, workforce experts, students and early-career workers, plus in-depth analysis of pharmacy technician and industrial machinery mechanic roles. Related Pearson News About Pearson At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. That's why our c. 18,000 Pearson employees are committed to creating vibrant and enriching learning experiences designed for real-life impact. We are the world's lifelong learning company, serving customers in nearly 200 countries with digital content, assessments, qualifications, and data. For us, learning isn't just what we do. It's who we are. Visit us at plc.pearson.com
Pearson has acquired ITS, a Baltimore-based assessment technology company specialising in managing, delivering, and reporting assessment programmes. The acquisition strengthens Pearson's assessment and verification capabilities with proven technology and talent, expanding growth opportunities in professional assessment markets worldwide. ITS's enterprise offerings complement Pearson's existing strengths, broadening the range of assessment services available to customers, including remote testing and proctoring, performance-based assessment, and continuous certification. Following the acquisition, ITS will become part of Pearson Professional Assessments. The companies have maintained a successful commercial relationship since 2009. ITS will support Pearson's long-term assessment strategy as organisations increasingly turn to Pearson for trusted assessment and verification services. Pearson serves customers in nearly 200 countries with digital content, assessments, qualifications, and data.