2025研究报告：以人为本的技能飞行员，探索人工智能在工作场所的应用

2025 Research ReportA people-first skills pilot, exploringAI adoption in the workplace Contents 03Introducing AI Works04Foreword05Keyfindings06Executive summary10Recommendations12Theopportunityandthechallenge16Purposeandmethodology21Findings and impact32EducationSectorPilot44UnionMembersPilot56Small&MediumBusinessesPilot Watch AI Works in action Bringing hands-on AI trainingto workplaces across the UK Watch on YouTube Introducing AI Works An overview of the key findings,research methodology, andpolicy recommendations Foreword “I thought it was something really complicated, and somethingyou needed a coding language to use. But I learned that it’sactually quite simple — we all are now using it.” AI has the potential to transform the way we work, tacklingthe UK’s productivity puzzle and unlocking economic growth. Fully realising AI’s economic benefits requires widespread adoptionof the technology. We need to ensure that workers across thecountry, in organisations of all types and sizes, have access toAI-powered tools and the skills required to use them. But we’realready seeing an AI adoption gap emerging, with women andolder workers especially at risk of falling behind the curve. — Union member, three-months post-training The UK could unlock £400 billion in economic growth through AI,but half of that depends on adoption. From previous technologicalwaves, we know uptake isn’t guaranteed. Already, we see that women over 55 are four times less likely touse AI than men under 35, and smaller businesses lag behindlarger firms. That is bad for growth and for job satisfaction:AI can save time and reduce admin. That’s why Google launched AI Works — partnering withMulti-Academy Trusts (MATs), educators, small and medium-sizedbusinesses (SMBs), and a union — to begin to understand AI usagebarriers and the most effective ways to supercharge AI adoption. In these pilots we were surprised, and encouraged, that after a fewhours’ training, adoption rocketed. After three months, participantswere still using AI in a range of ways, and often daily. We think that isbecause using AI tools is easy and because the reward — savedtime — is immediate. This report shares the simple, scalable steps — such as empoweringteams to use AI and building daily habits — that double AI use andturn AI sceptics into power users. And AI Works is just the beginning. Our ambition is for these pilots to bea catalyst that encourages the UK’s policymakers and business leadersto act now. We can’t afford to leave AI adoption to chance, and we’reexcited to share insights that will enable us to be intentional aboutunlocking the untapped potential of this transformative technology. The training helped many of the people least likely to adopt AI— older, more often women, and less confident users. There aren’tmany levers that increase productivity and growth, and supportthose most likely to be left behind. These pilots suggest trainingis an investment worth making. —DebbieWeinstein,PresidentofEMEA,Google —RachelWolf,FoundingPartner,PublicFirst findingsKey AI habits are easyto form. Just a fewhours of trainingdoubled daily AIusage, with usageremaining higheven months afterthe pilots becauseAI-powered toolsare rewarding andeasy to use. Scaling AI skills trainingfor national adoption AI adoption increasesworkerwell-being Permission to promptWorkers needed reassurance that the advantage AI givesthem is legitimate, fair, andcomparable to using theinternet or a search engineto complete a task moreefficiently. This can be bestachieved by giving workersexplicit permission to usethe technology and settingclear policies on AI tools. Across all three cohorts,we noticed that interactivesessions that encouragedhands-on participation,practical demonstrationsshowcasing real and relevantapplications and tailoredcontent designed for eachsector's specific needs madethe training particularlyeffective. Sessions on AIprompting and refinementwere especially well received. Pilot participants report thatAI upskilling has a significantimpact on worker well-being. Workers in eachsector estimate AI is nowsaving them time equivalentto over 122 hours a year,exceeding modelledestimates of 100 hours. Upskillingsignificantlynarrows AI adoption gaps Habitformationleadsto experimentation Interventions are key toclosing the AI adoption gap,particularly among womenand older workers. Beforetraining, just 17% of womenover the age of 55+ in ourcohorts used AI weekly, andonly 9% used it daily. Threemonths later, 56% wereusing it weekly, and 29%had made it a daily habit. More than 80% ofparticipants were surprisedby AI’s capabilities. After threemonths, most were not onlyusing AI for basic tasks, butalso independently seekingprompting tips, watchingvideos, and reading articles touncover new features andinnovative use cases. The positive relationshipbetweenoptimismanduse As AI usage increasedamong workers, so didoptimism about thetechnology’s impact. Thissuggests that