The usage of AI in the telecommunication sector is growing rapidly, according to a new report from Fortune Business Insights, driven by the demands for advanced network management, personalized customer experiences and greater operational efficiency. The global AI in telecommunication market size was valued at $3.34 billion in 2024, and is projected to grow from $4.73 billion in 2025 to $58.74 billion by 2032, showing a compound annual growth rate of 43.3 percent during the forecast period. “A key driver of this trend is the adoption of streamlined AI application development methodologies, enabling telecom firms to swiftly deploy tailored AI solutions internally,” stated the report. This approach involves leveraging pre-built AI models and frameworks, significantly reducing the time and resources required for AI application development.” Big data is projected to dominate the market share due to its ability to provide valuable insights into customer behavior, network performance and operational efficiency, leading to improved decisionmaking and customer satisfaction. What’s more, the telecom industry generates vast amounts of data daily, and harnessing this data through big data analytics extends new revenue streams and business opportunities, said Fortune Business analysts. Machine learning technology, meanwhile, holds the highest growth rate due to its versatility and ability to continuously learn from data, allowing it to adapt to diverse applications and industries. While organizations typically recognize the criticality of responsible AI, many don’t know where or how to get started. Enterprise Strategy Group surveyed 374 professionals involved in the decision-making, selection and management of AI initiatives and projects regarding their responsible AI strategies. Respondents cited multiple tools and tactics to ensure ethical AI practices and operational integrity. “Taking a multi-pronged approach will prepare organizations for success,” said ESG analysts. “Investing in technology, people and partnerships is key for growth and adaptability as technology innovation, associated talent and collaboration can help organizations enable the ethical and responsible use of AI.” Crexendo has added AI agent platform provider OneReach.ai to its Ecosystem Vendor Partner (EVP) program. The OneReach.ai Generative Studio X (GSX) platform comprises “a complete agent runtime environment that enables users to design, train, test, deploy, monitor, optimize and orchestrate AI agents at scale,” officials said. Agents can be trained and customized to enhance CX, boost employee productivity and streamline operations. “With seamless integration between OneReach.ai GSX and Crexendo platforms, this partnership empowers Crexendo customers to utilize intelligent, orchestrated AI agents for creating increased revenue opportunities and delivering enhanced customer experiences—all while maintaining the highest industry standards for enterprise data security and privacy,” said Robb Wilson, CEO at OneReach.ai. AI in Telecom Takes Off The Many Tools of Ethical AI Crexendo Partners With OneReach.ai AI & AUTOMATION Global AI in Telecommunication Market Share, By Technology, 2024 Source: Fortuneinsightbusiness.com Technology Adoption Life Cycle Source: B2U Agents enabled by generative AI could function as hyperefficient virtual coworkers Illustration of how an agent system might execute a workflow, from prompt to output Using natural language, the user prompts the generative AI agent system to complet a task. The agent system interprets the prompt and builds a work plan. A manager agent subdivides the project into tasks assigned to specialist agents; they gather and analyze data from multiple sources and collaborate The agent team shares the draft output with the user. The agent team receives user feedback, then iterates and refines output accordingly. External systems: Agents interact with databases and systems– both organizational and external data–to complete the task. Manager agent Specialist agents Start End Analyst agent Checker agent Planner agent 1 2 3 4 Machine Learning EARLY MARKET INNOVATORS 2.5% TECH ENTHUSIASTS EARLY ADOPTERS 13.5% EARLY MAJORITY 34% LATE MAJORITY 34% LAGGARDS 16% THE CHASM MAINSTREAM MARKET Natural Language Processing Big Data Others VISIONARIES PRAGMATISTS CONSERVATIVES SKEPTICS 26.1% CAGR The enterprise LLM market is experiencing accelerated growth, according to Global Market Insights, driven by an increasing demand for AI automation across corporate applications and data analysis. Valued at $6.7 billion in 2024, the market is expected to grow to $71.1 billion by 2034. Investments to Ensure Responsible Use of AI Modern technology platforms, solutions, services 51% Employee training 45% Technology partnerships and alliances 44% Hiring AI ethics experts/specialists 42% Internal risk assessments and/or audits 41% Regular policy reviews and updates 40% External risk assessments and/or audits 38% Diversity and inclusion initiatives 34% Employee accountability programs 32% Community/customer stakeholder engagement 29% Consulting partnerships 29% Cross-functional ethics committees 27% 8 CHANNELVISION | FALL 2025
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