电信人工智能市场状况_2024年第4季度_27页_2mb

Telco AI: State of the Market, Q4 2024 Summary

GSMA Intelligence's report assesses AI adoption in the telecom sector, emphasizing the need for effective ROI measurement and transformation. Key highlights include:

• AI Strategy and Adoption: 65% of global operators have formal AI strategies, either standalone or integrated into broader objectives. Average adoption spans 9 out of 13 domains, with leadership and responsible practices prioritized. Most operators allocate 5–15% of their digital budget to AI, leading in North America and Europe.

• ROI Measurement: Financial metrics alone are insufficient; a holistic approach is needed, capturing non-financial impacts like business transformation, workforce skills, and ethical considerations. Operators are exploring new frameworks to evaluate long-term ROI, including bottom-up scoring systems.

• Challenges and Barriers: Cybersecurity concerns (49% of operators cite it as top barrier) and talent shortages are major hurdles. Data privacy, infrastructure limitations, and regulatory compliance also pose risks, with operators investing in governance and training to address these issues.

• Operational Impact: AI focuses on improving productivity, customer experience, and network efficiency. Leaders like KT and Telstra demonstrate advanced AI integration, including generative AI applications, though early-stage operators face hurdles in scaling.

• Market Trends: Recent developments include increased partnerships (e.g., KT with Microsoft) and focus on distributed AI, edge computing, and responsible AI governance. AI is seen as driving innovation but also amplifying cybersecurity threats, requiring proactive security measures.

Overall, AI is reshaping telecoms, with operators committed to strategic integration despite challenges, ensuring sustainable value creation through broader ROI frameworks.