电信人工智能：2024年第四季度市场状况

Progress and the return-on-investment question The GSMA is a global organisation unifying the mobile ecosystem todiscover, develop and deliver innovation foundational to positive businessenvironments and societal change. Our vision is to unlock the full powerof connectivity so that people, industry, and society thrive. Representingmobile operators and organisations across the mobile ecosystem andadjacent industries, the GSMA delivers for its members across three GSMA Intelligence is the definitive source of global mobile operator data,analysis and forecasts, and publisher of authoritative industry reports andresearch. Our data covers every operator group, network and MVNO inevery country worldwide – from Afghanistan to Zimbabwe. It is the most GSMA Intelligence is relied on by leading operators, vendors, regulators,financial institutions and third-party industry players, to support strategicdecision-making and long-term investment planning. The data is used as We invite you to find out more at www.gsma.com Our team of analysts and experts produce regular thought-leadingresearch reports across a range of industry topics. www.gsmaintelligence.cominfo@gsmaintelligence.com Authors Sayali BoroleSenior Analyst Peter JarichHead of GSMA Tim HattHead of Research CapturingAI’s true value Artificial intelligence is reshaping telecoms operations worldwide,offering a mix of opportunities and complex challenges. Thisreport assesses operator progress with harnessing AI’s capabilities, Considering the significant investments in AI, understanding how toeffectively measure returns is paramount to ensure sustainable valuecreation. While financial returns remain a critical metric, they provide a This report therefore highlights the importance of measuring the return onAI investments through a broader approach. This includes factors such asbusiness operations, workforce skills and ethics (including environmental For GSMA members and industry leaders, we hope this report offersvaluable insights into how to integrate AI with strategic precision, build a Jeanine VosHead of SDG AcceleratorG&RA, GSMA About the series This is the third in a four-part series on AI strategy in telecoms. This edition examines the current AItransformation in the industry, highlighting progress and key areas for improvement, with strategic In tandem with the report series,GSMA Intelligence has developed anAI benchmark to track AI use and Market context Leader profiles Deep dives •Deep dives into key topics•AI data and systems•energy efficiency •A recap of criticalindustry developmentsand implications •Case studies of telco AIin action•Understanding best 01 01 Executivesummary 02 03 Deep dive:AI benchmark Summary Measuring returns Commit, align and act 04 01 With most operators dedicating 5–15% of their digital budgetto AI, investments in AI span a range of categories – LLMsand data systems through to infrastructure upgrades. Thisreflects the system-wide requirements to effect businesstransformation, which means the way of measuring success A strategy-driven approach to AI is central for operators, with65% establishing AI strategies either as standalone initiatives orintegrated into overall objectives. There is geographic variationin strategies and approaches, but responsible AI practices Maturing AI adoption 02 Leading operators in AI have on average adopted AI across9 out of 13 critical domains (network operations, customerservice, generating new revenue streams etc). However, thescope of AI deployment is broad. Nearly half of operators arestill in the early stages, exploring use cases or running pilots.AI deployment approaches also vary by maturity; while some Holistic measure 05 A more helpful way to think about RoI with AI is tobreak it down into individual pillars – financial, businesstransformation, people & skills and ethics & compliance.These reflect where measurable change is expected inbusiness performance and outcomes as a result of AIinvestments and implementation. Unlike static quarterly KPIs, Growing pains 03 Operators are investing in infrastructure readiness, buildingskilled workforces and fostering data-driven cultures tosupport AI initiatives. However, cybersecurity risks, dataprivacy, infrastructure limitations and talent shortages remainconcerns. While nearly 40% of operators report strong AI AI in numbers 85% 40% 68% 65% Percentage ofoperators that rateda ‘secure by design’approach as one of the Percentage ofoperators that consider‘productivity gain’ as Percentage ofoperators surveyedthat believe distributed Percentage ofsurveyed operatorsthat have implementedan AI strategy – as a Productivity gain is measuredas a percentage of the timesaved compared to the timepreviously spent. Closelyfollowed by cost savings, With the rapid technologicaltransformation and useof AI comes an increasedthreat of cyberattacks, While operators globallyhave different approachesand strategies for le