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Artificial Intelligence (AI) Chips Market to Grow by USD 902.65 Billion (2025-2029), Driven by AI Chip Innovation for Smartphones, AI Driving Transformation – Technavio

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NEW YORK, Jan. 18, 2025 /PRNewswire/ — Report on how AI is redefining market landscape – The global artificial intelligence (AI) chips market size is estimated to grow by USD 902.65 billion from 2025-2029, according to Technavio. The market is estimated to grow at a CAGR of over 81.2% during the forecast period. Increased focus on developing AI chips for smartphones is driving market growth, with a trend towards convergence of AI and IoT. However, dearth of technically skilled workers for ai chips development poses a challenge. Key market players include Advanced Micro Devices Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Google LLC, Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc..

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Artificial Intelligence (AI) Chips Market Scope

Report Coverage

Details

Base year

2024

Historic period

2019 – 2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 81.2%

Market growth 2025-2029

USD 902.65 billion

Market structure

Fragmented

YoY growth 2022-2023 (%)

61.7

Regional analysis

North America, Europe, APAC, South America, and Middle East and Africa

Performing market contribution

North America at 42%

Key countries

US, Canada, China, UK, Germany, France, Japan, Italy, India, and Brazil

Key companies profiled

Advanced Micro Devices Inc., Baidu Inc., Broadcom Inc., Cerebras, Fujitsu Ltd., Google LLC, Graphcore Ltd., Huawei Technologies Co. Ltd., Intel Corp., International Business Machines Corp., MediaTek Inc., Microchip Technology Inc., NVIDIA Corp., NXP Semiconductors NV, Qualcomm Inc., SambaNova Systems Inc., Samsung Electronics Co. Ltd., SenseTime Group Inc., Taiwan Semiconductor Manufacturing Co. Ltd., and Tesla Inc.

Market Driver

Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, and automotive with deep learning and machine learning algorithms. The demand for AI technologies is driving the growth of AI chips market. Companies like Advanced Micro Devices, Nvidia, and Huawei are leading the way with AI chip lines, such as the Trainium2 chip and Ascend 910B chipset. These chips are designed to handle the high computing requirements of AI technologies, including quantum computing and generative AI. Major cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud are investing in AI data centers to offer AI services to businesses and developers. Edge computing is also gaining popularity for real-time applications, reducing latency and improving data processing efficiency. Energy efficiency is a key consideration for AI chip manufacturers, as AI applications consume vast amounts of power. AI chip lines include CPUs, GPUs, FPGAs, and ASICs, each optimized for specific applications. Ethical concerns around AI use are also driving the development of specific integrated chips for AI applications. AI technologies are being integrated into various industries, from healthcare to manufacturing, with applications ranging from image recognition to cognitive computing. Patent filings for AI technologies are on the rise, with companies seeking to protect their intellectual property. However, system failure and malfunctioning remain concerns, as AI systems can have significant impacts on businesses and individuals. The AI chip market is expected to continue growing, with applications in mobile phones, personal computers, gaming consoles, and embedded systems. The future of AI technologies lies in the integration of AI chips into various devices, from wearable devices to smart homes and connected cars, enabling personalized health, real-time analysis, and more. 

The Internet of Things (IoT) market is experiencing significant growth due to the advantages it offers in various industries such as aerospace and defense, automotive, consumer electronics, healthcare, and more. IoT devices, which include cameras, drones, smart speakers, smartphones, smart TVs, and others, are making decisions based on data received without human intervention. To enable power-efficient data processing and machine learning computation in these devices, AI chips are being integrated. This trend is driving the demand for AI chips in the IoT market, enabling devices to perform complex tasks and improve overall efficiency. 

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 Market Challenges

Artificial Intelligence (AI) is revolutionizing industries from healthcare to retail, finance, and automotive. However, the increasing demand for AI technologies, including deep learning and machine learning, poses challenges for hardware components like AI chips. Advanced Micro and Nvidia lead the market with their AI chip lines, such as Trainium2 and A100 chip, respectively. These chips power AI algorithms and technologies, enabling applications like image recognition, pose detection, and behavioral patterns analysis. However, developing AI chips comes with challenges. Energy efficiency is crucial as AI applications require high computing power. Quantum computing and highbandwidth memory are potential solutions, but patent filings and system failure risks exist. AI data centers and centralized cloud servers face latency issues, necessitating edge computing and Edge devices. Ethical concerns surrounding AI use also arise. Major cloud providers like Microsoft Azure, Amazon Web Services, and Google Cloud offer AI services, but energy efficiency and latency remain concerns. AI applications in healthcare, retail, finance, and automotive require real-time data processing, making AI chip lines, GPUs, FPGAs, CPUs, ASICs, and DSP essential. The future of AI lies in cognitive computing, machine intelligence, and AI data centers, but challenges persist in ensuring energy efficiency, reliability, and ethical use.The AI chips market is witnessing significant expansion due to the potential financial gains that businesses can reap from artificial intelligence. However, the absence of a sufficient workforce with specialized AI knowledge presents a substantial challenge to market growth. Companies must meticulously evaluate the integration of AI, considering its high research and development costs. The scarcity of skilled professionals in this field is currently the most significant barrier for enterprises looking to implement AI in their operations.

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Segment Overview

This artificial intelligence (AI) chips market report extensively covers market segmentation by

Product 1.1 ASICs1.2 GPUs1.3 CPUs1.4 FPGAsEnd-user 2.1 Media and advertising2.2 BFSI2.3 IT and telecommunication2.4 OthersGeography 3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and AfricaProcessing TypeApplicationTechnology

1.1 ASICs- Artificial Intelligence (AI) chips market is witnessing significant growth due to the increasing adoption of application-specific integrated circuits (ASICs) in data centers. ASICs are customized chips that offer faster performance compared to GPUs and FPGAs. They are specifically designed for parallel processing, making them ideal for AI applications. Google’s Tensor Processing Unit (TPU) is a prime example of ASIC-based AI chips. TPU is a network of hardware and software that can learn specific tasks by analyzing large data sets. It is already being used in applications like Google Search and Google Street View. Data centers are incorporating TPUs at the back end of servers to manage data effectively. TPU’s instruction set allows TensorFlow programs to be changed, enabling the development of new algorithms. TensorFlow is an open-source machine learning library with a data flow graph structure, where nodes represent arithmetical operations, and edges denote multidimensional arrays. ASIC-based AI chips are expected to continue gaining market share due to their higher performance and speed compared to GPUs, FPGAs, and CPUs.

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Research Analysis

Artificial Intelligence (AI) Chips Market: The global AI Chips Market is experiencing significant growth due to the increasing adoption of AI technologies in various industries such as healthcare, retail, finance, automotive, and IoT devices. AI Chips are specialized hardware components designed to accelerate AI algorithms, including deep learning and machine learning. These chips are essential for powering AI applications in robotics, autonomous vehicles, and high-performance computing systems. The market includes various types of chips such as Specific Integrated Chips (SICs), CPUs, FPGAs, and GPUs. Advanced Micro, Trainium2 chip, and other players are developing innovative AI Chips to address the growing demand for AI hardware. AI Chips are also being integrated into quantum computing systems, cloud, and edge computing infrastructure. The market’s growth is driven by the increasing use of AI in various applications, such as generative AI, supercomputers, and highbandwidth memory. However, ethical concerns regarding AI technologies and the need for energy-efficient and cost-effective solutions pose challenges to the market’s growth. In summary, the AI Chips Market is poised for significant growth due to the increasing adoption of AI technologies in various industries and the development of specialized hardware components to accelerate AI algorithms. However, ethical concerns and the need for energy-efficient and cost-effective solutions present challenges to the market’s growth.

Market Research Overview

Artificial Intelligence (AI) Chips Market: Overview The Artificial Intelligence (AI) Chips Market is a rapidly growing sector that focuses on developing specialized hardware components to support AI algorithms, deep learning, and machine learning applications. These chips are designed to enhance the performance and energy efficiency of AI technologies, including quantum computing, neural networks, and cognitive computing. AI Chips are integral to various industries, including robotics, healthcare, retail, finance, automotive, and manufacturing, where real-time data processing and low latency are essential. The market includes a range of hardware components, such as CPUs, GPUs, FPGAs, ASICs, DSPs, and microcontrollers, each optimized for specific AI applications. Deep learning and machine learning algorithms require high computing power and large amounts of data processing. AI chips, such as the Trainium2 chip, are designed to address these requirements, offering high bandwidth memory and parallel computing capabilities. Advanced AI technologies, such as generative AI and large language models, are driving the demand for more powerful and energy-efficient chips. Edge computing and Edge devices are also gaining popularity, as they enable data processing closer to the source, reducing latency and increasing the speed of real-time applications. Ethical concerns surrounding AI and data privacy are also influencing the market, as companies invest in AI chip lines that prioritize security and data protection. The market is expected to continue growing, driven by the increasing adoption of AI technologies in various industries and the development of new AI applications, such as computer vision, pose detection, and behavioral pattern recognition. Patent filings and system failure or malfunctioning issues are ongoing challenges in the market, as companies race to innovate and improve the performance and reliability of their AI chips. The market is highly competitive, with players such as Nvidia, Ascend, and Microsoft Azure offering a range of AI chip solutions for various applications. In summary, the AI Chips Market is a dynamic and evolving sector, driven by the increasing adoption of AI technologies and the need for specialized hardware components to support their growing demands for high computing power, energy efficiency, and data processing capabilities. The market includes a range of hardware components, from CPUs and GPUs to FPGAs and ASICs, each optimized for specific AI applications and industries, including healthcare, retail, finance, automotive, and manufacturing. Ethical concerns, patent filings, and system reliability are ongoing challenges, but the market is expected to continue growing, driven by the increasing adoption of AI technologies and the development of new applications, such as computer vision, pose detection, and behavioral pattern recognition.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

ProductASICsGPUsCPUsFPGAsEnd-userMedia And AdvertisingBFSIIT And TelecommunicationOthersGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And AfricaProcessing TypeApplicationTechnology

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

 

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Care Career Announces Acquisition of MAS Medical Staffing, Completing Its First Acquisition Phase and Expanding Annual Revenue Beyond $150 Million, with a Path to Exceed a Quarter Billion by the End of 2026 Through Additional Acquisitions and Organic Growth

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WOODBRIDGE, N.J., July 24, 2026 /PRNewswire/ — Care Career, a rapidly growing healthcare workforce technology organization, today announced the acquisition of MAS Medical Staffing, one of the Northeast’s leading healthcare workforce organizations. Financial terms of the transaction were not disclosed.

The acquisition represents Care Career’s seventh strategic acquisition in the past 24 months, further strengthening the company’s position as one of the largest healthcare workforce organizations in the United States while accelerating its strategy to redefine the future of healthcare workforce management through artificial intelligence, enterprise technology, and workforce innovation.

MAS Medical Staffing has built an outstanding reputation for delivering high-quality workforce solutions through strong client relationships, exceptional clinician engagement, and deep regional expertise throughout the Northeastern United States. The acquisition significantly expands Care Career’s geographic footprint while broadening its access to healthcare professionals, client relationships, workforce data, and regional market intelligence.

Care Career is building a technology-enabled workforce ecosystem powered by its AI-powered workforce platform, where every acquisition contributes not only additional market presence, but also expanded data, enhanced artificial intelligence capabilities, digital innovation, and operational scale that continuously improve the experience for clients and clinicians alike. As the platform grows, every clinician engagement, client interaction, credential, placement, and workforce trend strengthens the intelligence of Career’s technology, creating a continuously improving ecosystem designed to deliver faster, smarter, and more effective workforce solutions.

The acquisition also brings MAS Medical Staffing’s MAESTRA® engagement technology, along with its client relationships and clinician network, directly onto Career’s AI-powered workforce platform. MAESTRA’s scheduling, credentialing, and communication capabilities will be integrated into Care Career’s existing technology stack, further enhancing clinician engagement across onboarding, scheduling, and career management while providing healthcare organizations with greater workforce visibility and operational efficiency.

“Our vision is to build the AI-powered infrastructure that modernizes healthcare workforce management,” said Siva Konatham, Group President and Chief Executive Officer of Care Career. “Under my leadership, Care Career is focused on transforming a fragmented, labor-intensive industry into a data-driven, technology-enabled ecosystem that improves speed, efficiency, and workforce visibility for healthcare providers. Each acquisition strengthens our platform intelligence, expands our scale, and enhances our margin potential. By integrating advanced analytics, AI automation, and digital engagement tools, we are not just growing revenue—we are building a smarter, more scalable model positioned to lead the next era of healthcare workforce solutions.”

The combined organization will leverage expanded recruiting resources, centralized credentialing, advanced workforce analytics, AI-enabled automation, and digital engagement technologies—all powered by Care Career’s AI-powered workforce platform—to deliver broader recruiting capabilities, faster response times, enhanced workforce insights, and expanded national coverage. Clinicians will benefit from a seamless digital experience that simplifies every stage of their careers—from job discovery and credentialing to onboarding, scheduling, communication, and long-term career development.

With seven strategic acquisitions completed in less than two years, representing the first round of acquisitions now totaling more than $150 million in annual revenue, Care Career has rapidly expanded its national presence while executing a disciplined growth strategy focused on technology integration, operational excellence, and workforce innovation. The company has also signed additional Letters of Intent with other entities with expected close dates in the third quarter of 2026. Upon completion of these transactions, coupled with organic growth, Care Career expects consolidated annual revenue to exceed a quarter of a billion dollars by the end of 2026.

The addition of MAS Medical Staffing further strengthens the organization’s ability to serve healthcare systems, hospitals, long-term care providers, outpatient facilities, and other healthcare organizations across an increasingly diverse geographic footprint.

“The healthcare workforce industry is entering a new era where technology, artificial intelligence, and data-driven decision-making will define the market leaders,” Konatham added. “Every acquisition we complete expands the intelligence of our AI-powered workforce platform, enhances the value we deliver to our clients, and creates more opportunities for clinicians. We believe the combination of exceptional people, innovative technology, and strategic scale positions Care Career to lead the next generation of healthcare workforce solutions.”

About Care Career

Care Career is a technology-enabled healthcare workforce solutions company dedicated to transforming how healthcare organizations recruit, engage, credential, deploy, and retain clinical talent. Powered by its proprietary AI-powered workforce platform and supported by advanced artificial intelligence, enterprise technology, and workforce analytics, Care Career is building an intelligent healthcare workforce ecosystem that connects providers and clinicians more efficiently while improving workforce performance, operational effectiveness, and patient care. Following seven strategic acquisitions over the past 24 months the first round of acquisitions totaling more than $150 million in annual revenue and with additional signed LOIs under contract expected to complete shortly, positioning the company to surpass a quarter of a billion dollars in consolidated annual revenue by the end of 2026, Care Career has become one of the nation’s largest and fastest-growing healthcare workforce organizations, serving healthcare providers and clinicians across the United States.

About MAS Medical Staffing

MAS Medical Staffing is a premier healthcare workforce organization recognized for exceptional service, strong client partnerships, and a commitment to connecting healthcare professionals with rewarding career opportunities. With an established presence throughout the Northeastern United States, MAS Medical Staffing has earned a reputation for quality, responsiveness, and delivering workforce solutions that help healthcare providers meet their evolving workforce needs while supporting clinicians throughout every stage of their careers.

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PointsKash Demonstrates How Businesses Can Build on Bitcoin Without Burdening the Blockchain

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As industry debate surrounding Bitcoin Improvement Proposal (BIP-110) intensifies, PointsKash unveils an architecture designed to work regardless of the proposal’s outcome.

SCOTTSDALE, Ariz., July 24, 2026 /PRNewswire/ — As the global Bitcoin community debates Bitcoin Improvement Proposal 110 (BIP-110) and the future of data stored on the Bitcoin blockchain, PointsKash, Inc. today announced that its next-generation kiosk infrastructure was intentionally designed to operate efficiently under any outcome of the proposal.

Rather than storing operational data directly on the Bitcoin blockchain, PointsKash utilizes a layered architecture that combines Bitcoin‘s unmatched security with modern decentralized communications technology. Every transaction, machine event, system update, and operational record generated across the PointsKash network is cryptographically verified, securely maintained off-chain, and anchored to the Bitcoin blockchain through a single immutable cryptographic proof.

This approach allows thousands of operational events to be permanently verified while utilizing only a minimal amount of blockchain data.

As discussion surrounding BIP-110 has intensified across the digital asset industry, PointsKash believes the debate does not require choosing between innovation and responsible blockchain stewardship.

“The industry has been debating whether businesses can build meaningful applications on Bitcoin without unnecessarily consuming blockchain space,” said Michael Herron, Chief Executive Officer of PointsKash. “We believe we’ve demonstrated that the answer is yes. Bitcoin provides the world’s most trusted immutable timestamp and security layer, while higher-volume operational data belongs on technologies specifically designed to manage it. By combining both, we’ve built an architecture that is scalable, transparent, and future-ready regardless of how the BIP-110 discussion ultimately evolves.”

The company’s infrastructure assigns every kiosk its own unique cryptographic identity, allowing each machine to securely authenticate every transaction and operational event. Those records are then independently verifiable through cryptographic proofs while remaining resistant to alteration or manipulation—even by PointsKash itself.

According to the company, this architecture delivers several significant advantages:

Mathematically verifiable transaction records for regulators, banking partners, auditors, and enterprise customers.Improved network reliability, allowing kiosks to continue operating during temporary connectivity interruptions without losing transaction history.Enhanced cybersecurity, with every machine maintaining its own authenticated identity and secure communications.A scalable blockchain architecture that minimizes on-chain data while preserving complete auditability.

Bitcoin was created to provide trust, security, and permanence—not to become a storage system for every piece of application data,” Herron added. “Our philosophy has always been simple: use Bitcoin for what it does better than anyone else—creating immutable proof that records have never been altered—and leverage modern decentralized technologies for everything else. We believe that’s the future of enterprise blockchain infrastructure.”

PointsKash believes this architecture positions the company among a new generation of fintech innovators utilizing Bitcoin as a secure trust layer while developing scalable financial applications for enterprise deployment.

The technology also establishes the foundation for future blockchain-based financial products currently under development, including enhanced digital audit capabilities, verifiable financial records, enterprise licensing opportunities, and next-generation digital asset infrastructure.

As the Bitcoin ecosystem continues to mature, PointsKash believes its technology demonstrates that responsible innovation and blockchain scalability can successfully coexist—providing enterprise organizations with the confidence to build on Bitcoin without contributing unnecessary data to the network.

About PointsKash, Inc.

PointsKash, Inc. is a financial technology company developing an integrated ecosystem of AI-enabled self-service financial centers, digital banking, digital payment solutions, cryptocurrency services, loyalty rewards, enterprise merchant technologies, and mobile financial applications. Through proprietary software, Artificial Intelligence, and strategic partnerships, PointsKash is building innovative financial solutions designed to empower consumers, merchants, and enterprise organizations throughout North America.

For more information, visit www.pointskash.com.

Media Contact

PointsKash, Inc.
Investor Relations
info@pointskash.com
www.pointskash.com

Forward-Looking Statements

This press release contains forward-looking statements regarding anticipated technology integrations, Artificial Intelligence initiatives, product development, future commercialization plans, expected operational efficiencies, business strategy, and future growth. These statements are based on current expectations and involve risks and uncertainties that could cause actual results to differ materially from those expressed or implied. Factors that could affect actual results include, but are not limited to, technology development timelines, integration efforts, financing, regulatory developments, market conditions, and other risks facing the Company. PointsKash undertakes no obligation to update any forward-looking statements except as required by applicable law.

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As ADA Anniversary Approaches, University of Phoenix Survey Highlights AI’s Potential to Advance Accessibility in Work and Learning

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Survey conducted by The Harris Poll on behalf of University of Phoenix finds among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.

PHOENIX, July 24, 2026 /PRNewswire/ — As artificial intelligence becomes part of how people work, learn and solve problems, a new University of Phoenix survey conducted by The Harris Poll finds that recent working learners see meaningful opportunities for AI to support accessibility. The survey was designed to understand the impact of AI in the workplace and learning environments on accessibility, defined as ensuring digital content, tools and resources, including AI tools and output, are usable by people with different abilities through inclusive design, use of assistive technology or conformance with accessibility standards, such as the Web Content Accessibility Guidelines (WCAG). The findings are being released ahead of the 36th anniversary of the Americans with Disabilities Act (ADA) on July 26.

The survey, conducted among 1,019 U.S. employed adults who completed a professionally presented training or school course in the past 12 months (“recent working learners”), found that, among workers already using AI in the workplace, 3 in 5 (60%) say AI has improved their knowledge of and ability to use accessibility standards and guidelines, including nearly 1 in 5 (19%) who report significant improvement. 

While the findings point to optimism about AI’s accessibility potential, they also reveal an opportunity for clearer organizational guidance: 45% of respondents say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.

“The reality is that accessibility benefits everyone,” shares Kelly Hermann, Vice President of Accessibility and Student Affairs at University of Phoenix. “If accessibility is built in from the beginning, organizations are more likely to create AI-enabled environments that are universally usable. Clearer content, better summaries, accurate captions, and multiple formats can help workers and learners with disabilities, but they also help busy adults, multilingual learners, mobile users, and anyone trying to absorb information quickly.”

Key findings from the survey include:

Workers see AI’s accessibility potential: 89% of recent working learners identify workflows that could benefit from AI and accessibility tools, especially creating accessible documents, presentations, websites or learning materials (38%), presenting information in different formats such as plain language, audio, summaries or translations (33%), and training employees or learners on accessibility practices (30%).AI may help build accessibility awareness: Among those already using AI in the workplace, 60% say AI has improved their knowledge of and ability to use accessibility standards and guidelines.Accessibility is not always clear in workplace AI policies: 45% of recent working learners say accessibility is absent from, unclear in, or they are uncertain whether it is covered by their workplace AI policies.AI tools may not yet fully support different access needs: Among those who use workplace AI tools, only about a quarter of survey respondents (27%) say AI tools available through their workplace or professional learning environment support people with disabilities very well.Human oversight remains important: 36% of recent working learners say human review for important decisions or high-impact work should be part of responsible AI use at work or school.Workers also recognize how AI and accessibility can have an impact on their own career journey: 90% of recent working learners identify AI and accessibility skills that would be valuable in their current or desired career field, including 45% who see value in understanding when AI-generated content needs human review.

Why accessibility is essential to responsible AI adoption

As AI tools are used to draft documents, summarize information, generate captions and transcripts, create image descriptions, support learning and assist with workplace tasks, accessibility becomes central to responsible use. Poorly implemented AI can also create or amplify barriers, including inaccessible content, inaccurate summaries, biased outputs and tools that do not work effectively with assistive technologies.

“Responsible AI is not only about productivity,” Hermann said. “It is about whether the technology works for the people who need to use it. AI can help create more accessible materials and more flexible ways to engage with information, but it still requires clear policies, practical training and human judgment to make sure the outputs are accurate, applicable and usable.”

What the findings mean for employers and educators

The survey suggests that organizations have an opportunity to align AI adoption with supportive design, accessibility practices and workforce training. Employers and educators can take immediate steps by:

Naming accessibility directly in AI policies and guidance.Choosing AI tools with accessibility and assistive technology compatibility in mind.Training workers and learners to create, check and improve accessible AI-generated content.Making support pathways clear for people who experience barriers using AI tools.Keeping human review in place for important decisions, high-impact work and accessibility-sensitive outputs.

The survey also found workers want practical AI training. The most helpful resources identified by recent working learners include real-world examples from their field or industry (36%), hands-on practice using realistic workplace scenarios (34%) and step-by-step demonstrations of common tasks (33%).

Accessibility insights from University of Phoenix

Hermann shared the survey findings ahead of the ADA anniversary in recent media interviews. Hermann oversees the University’s accessibility initiative, including evaluation and remediation of curricular resources, the Center for Access, Resources, Engagement and Support Services (CARES), and the Office of Collaborative Learning and Educational Engagement. Her work focuses on fostering accessible and welcoming educational environments for students, faculty and staff.

Hermann’s office at University of Phoenix also convenes accessibility conversations through initiatives such as Access Amplified™, a free, annual virtual event focused on advancing digital accessibility in web development. The event brings together engineers, developers, designers, content authors and digital strategists for practical strategies and human-centered conversations that address the gap between coding practices and how users with assistive technology experience the web.

About the survey

The survey was conducted online within the United States by The Harris Poll on behalf of University of Phoenix from June 22–29, 2026, among 1,019 employed adults ages 18 and older who have taken a professionally presented training or a school course in the past 12 months, referred to as “recent working learners.” Data were weighted where necessary by age, gender, race/ethnicity, region, education, employment, marital status, household size, household income and smoking status to bring them in line with their actual proportions in the population.

Respondents for this survey were selected from among those who have agreed to participate in surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within +/- 3.8 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.

Review the complete survey at phoenix.edu/aiaccessibility.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu. 

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