人工智能趋势

Design and LayoutMarketing and Comunicación Department Management Solutions PhotographsPhotographic archive of Management Solutions (some images generated with AI)Adobe Stock © Management Solutions 2026 All rights reserved. Cannot be reproduced, distributed, publicly disclosed, converted, totally or partially, freely or with a charge, in any way or procedure,without the express written authorization of Management Solutions. The information contained in this publication is merely to be used as a guideline. Mana-gement Solutions shall not be held responsible for the use which could be made of this information by third parties. Nobody is entitled to use this materialexcept by express authorization of Management Solutions. Index 01Introduction.................................................................4 02Executive Summary...................................................8 03The Technological Explosion of AI........................16 04AI Risks, Regulation and Safety.............................28 05AI Governance and Impact on People................38 06Frontiers of AI...........................................................54 07Case Study: GenMS™ Sybil...................................68 08Conclusions..............................................................72 References................................................................74 10 Glossary.....................................................................80 Introduction01 | "If we had told you back in 2020 that we would be where we are today, it probablywould have sounded more crazy than our current predictions for 2030". Sam Altman1 Artificial intelligence (AI) is no longer an emerging technology but atransformative force redefining industries, organizations and societies atunprecedented speed2. What seemed like science fiction just five yearsago (systems capable of generating text, code, images, music or videosindistinguishable from what humans produce, officially passing the Turingtest3) is now an operational reality in millions of companies: according tothe Stanford AI Index4, 78 % of organizations were using AI in at least onebusiness function by 2024, up from 55 % the previous year. The speed of change doesn't stop: every month new capabilitiesemerge, every quarter boundaries that seemed far away move,unit costs of AI plummet, and every year it forces us to rethinkwhat we thought we knew about the future of work, competitionand business strategy. In the words of Sam Altman5, CEO ofOpenAI. The cost of inaction is no longer theoretical: the gap betweenpioneers and laggards widens exponentially, because everyquarter of delay today can translate into years of competitivedisadvantage tomorrow. General productivity tools (securitized enterprise copilots)offer significant improvements immediately, provided they areaccompanied by mandatory training and safe use frameworks, asrequired by European regulations. An OECD review of experimentalstudies shows substantial average productivity gains from the useof generative AI7: "The cost of using a given level of AI drops approximately10 times every 12 months [...]. Moore's law changed theworld with a 2x improvement every 18 months; this isincomparably stronger." In writing tasks, average execution time is reduced by 40% andquality increases by 18 %.In software development, programmers complete tasks 56%faster.In consulting, professionals using AI perform 12% more tasks,complete them 25 % faster and achieve more than a 40%improvement in quality.In customer service, professionals supported by AI assistantsresolve 14 % more incidents. And according to Dario Amodei6, co-founder and CEO ofAnthropic: "By 2026 or 2027, we will have AI systems that will be,generally speaking, better than almost all humans at almosteverything." AI raises strategic questions that go beyond technology and affectstrategy, organization, and people: The real bottleneck, therefore, is not technical but organizational.Technology is moving faster than internal structures. Frictionemerges in slow processes, poorly governed data, overcrowdedcommittees, diffuse responsibilities, and bureaucratic approvalcycles. Organizations that do not redesign their internal machineryto enable speed without losing control will be unable to capturethe value of AI, no matter how sophisticated the technology theyemploy. As Gartner puts it: How can companies compete when innovation cycles aremeasured in months?How can organizations govern systems that evolve faster thantheir structures?How can they prepare people for jobs that do not yet exist?And how can they balance the speed of adoption with effectiverisk control? "The enormous potential business value of AI is not goingto materialize spontaneously. Success will depend on closelyaligned pilots [with the business], proactive infrastructurebenchmarking, and coordination between AI and businessteams to create tangible business value"8. MANAGEMENT SOLUTIONSBut co