Every component of the learn-and-work ecosystem depends upon accurate, timely, understandable, and trustworthy communication. Learners rely on information to navigate education and career pathways. Employers communicate workforce needs and hiring practices. Researchers share evidence that informs decision-making. Policymakers communicate laws, regulations, and funding priorities. Educators and credential providers explain learning opportunities and credential value.

Together, communications and technology comprise a foundational building block of the ecosystem.

• Communication is the exchange of information, ideas, and knowledge—whether among individuals, organizations, or large audiences—through spoken, written, visual, and digital means. Technology increasingly shapes how that information is created, organized, stored, translated, verified, distributed, discovered, preserved, and reused. Effective communication depends on more than technology alone. It requires a shared language, common understanding of concepts, trusted information sources, and compatible technologies that allow people and organizations to exchange information accurately and efficiently.
• Technology determines how this information is created, stored, distributed, discovered, and consumed. Artificial intelligence (AI) is transforming these processes by making information easier to generate, search, summarize, translate, and personalize. At the same time, AI increases the importance of transparency, editorial oversight, source attribution, verification, and public trust.

Explaining the ecosystem to both the general public and specialized audiences has become vital as education, workforce development, credentialing, and employment systems become more interconnected and complex. Communications can, for example:

• Tell the stories of learners navigating education and career pathways.
• Disseminate employer perspectives on workforce shortages, hiring practices, skills needs, and upskilling and reskilling efforts.
• Relay state, federal, and international policy developments affecting education, workforce development, and credentialing.
• Share research findings, data analyses, and promising practices across sectors.
• Communicate innovations in credentialing, digital credentials, Learning & Employment Records (LERs), and workforce technologies.
• Explain emerging concepts and terminology through shared vocabularies, glossaries, and knowledge resources.
• Support transparency by helping people distinguish reliable information from misinformation or AI-generated content lacking appropriate human review.

Communications and technology in the learn-and-work ecosystem occur through many channels, including:

• Print, broadcast, and digital journalism
• Websites and digital libraries
• Research reports, policy briefs, and white papers
• Blogs and newsletters
• Podcasts and webinars
• Conferences and professional meetings
• Social media platforms
• AI-powered search engines and conversational assistants
• Digital repositories and knowledge platforms
• Learning management systems
• Career navigation platforms
• Advising and counseling
• Direct communication among learners, educators, employers, policymakers, researchers, and practitioners

Increasingly, AI assists with both producing content and searching, translating, summarizing, recommending, and organizing information for different audiences.

Examples include:

• AI-powered language translation: enables real-time translation of text and speech, allowing education and workforce information to reach multilingual audiences.
• Virtual collaboration platforms: Zoom, Microsoft Teams, Cisco Webex, and similar technologies support meetings, webinars, professional development, and collaborative work across geographic boundaries, including globally. AI enhances these platforms through automatic transcription, translation, meeting summaries, and action-item generation.
• Strada Education Foundation's Public Viewpoint: uses rapid-response national surveys to communicate timely information about education, workforce development, and public attitudes to policymakers, practitioners, and researchers.
• Gallup's Great Jobs Study: communicates  nationally representative research about job quality through reports, media outreach, and public engagement, helping shape national conversations about workforce quality.
• The Chronicle of Higher Education's NEXT: The Credentials Craze: highlights how technology contributes to the emergence of alternative credentials and new approaches to communicating learning and skills.
• Work and Learn Indiana: uses a searchable digital platform to connect employers, learners, schools, and colleges around work-based learning opportunities.
• The Hechinger Report: communicates research findings and policy developments affecting education through independent journalism.
• AI-assisted journalism: increasingly used by organizations such as Reuters, BBC News, Associated Press, and others to assist with transcription, translation, data analysis, drafting, earnings reports, legislative tracking, and newsroom workflow while maintaining human editorial oversight.
• Digital knowledge repositories: organize, preserve, connect, and make information easier to discover and reuse across the learn-and-work ecosystem.

Many organizations contribute to communicating information throughout the ecosystem, including national and local news organizations, intermediary organizations, think tanks, professional associations, employer organizations, colleges and universities, government agencies, credential providers, libraries, museums, and nonprofit organizations.

Examples include American Public Media, The Hechinger Report, PBS NewsHour, WorkingNation, Work Shift, The Chronicle of Higher Education, Inside Higher Ed, The EvoLLLution, Gallup, and numerous education and workforce research organizations.

As information becomes more abundant and AI-generated content more commonplace, trusted communication and knowledge infrastructure become essential components of a well-functioning learn-and-work ecosystem.