2025年人工智能“拟人化”互动：美国大型语言模型（LLM）用户调查报告（英文）

BYLee RainieDirector,Imagining theDigital Future Center Close encounters of the AI kind: The increasingly human-like way people areengaging with language models Key datapoints in this survey 52%of American adults now use AI large language models (LLMs) like ChatGPT, Gemini,Claude and Copilot 51%of LLM users say their main activity on the tool is forpersonal, informal learning, twiceas many as use LLMsfor work purposes (24%); among workers, 46% say their main purpose is of users have hadspoken conversationsinvolving back-and-forth interactions with an 49%of LLM users think the models they useare smarter than they are 76%of LLM users are satisfied with the performance of LLMs, including25%who are very 54%say their use of LLMs has improved theirproductivitya lot/somewhat;42%say their usehas improved theircreativity Human-like traits•39%say the main LLM they use shows the capacityto think and reasonat least some of the time.•32%say it seems to have asense of humor. Darker impacts•50%of LLM users say they have feltlazywhen they use LLMs. •35%have felt they werecheating.•35%have felt frustrated orconfused.•33%have felt they were becomingtoo dependenton LLMs for answers rather thanthinking through things themselves.•23%say they made asignificant mistake or bad decisionby relying on information Insights into our survey The material reported here comes from a nationally representative survey of 500 users of large languagemodels (LLM) conducted between Jan. 21-23, 2025. It has a margin of error of +/- 5.1 percentage points. AnLLM user is someone who answered “yes” to this question: “Do you ever use artificial intelligence (AI) large Close encounters of the AI kindExecutive summary Half of Americans now use artificial intelligence (AI) large language models like ChatGPT, Gemini, Claude,and Copilot. Since the launch of ChatGPT on Nov. 30, 2022, the spread of LLM usage in this country represents one of the fastest, if not the fastest, adoption rates of a major technology in history. The growth and spread of these AI systemsin the U.S. population are especially strikingfor their diversity. Younger, well-educated,relatively wealthy, and employed adults aresomewhat more likely than others to beusing LLMs now. Yet, it is also the case thathalf of those living in households earning less Half of American adults use AI largelanguage models such as ChatGPT, Gemini, Key usage patterns What LLMs people use:ChatGPT stands outas the most commonly used LLM.Fully 72%of LLM users say they have used ChatGPT,while 50% have used Google’s Gemini, 39%have used Microsoft’s Copilot, 20% have usedMeta’s LLaMa, 12% have used xAI’s Grok and How they use LLMs:34% of LLM users saythey do so at leastonce a day, including 10%who say they use the tools “almost constantly.” Why they use LLMs:Personal uses, ratherthan work-related uses, are the main activity.Half (51%) say the main purpose for their LLMuse is personal, informal learningon theirown. Some 24% say forworkpurposes; 11% sayforschoolpurposes. Fully two-thirds (68%)have ever used LLMs for informal learningon their own; 60% have ever used them to Special uses of LLMs:The survey covered a host of particular uses of LLMs and found that: Two-thirds usethem likesearch engines; about half use them forbrainstorming ideasand summarizing documents; athird use them to create presentations andplan things like trips; a quarter use them for planningsocial Close encounters of the AI kind Executive summary Human-like interactions with LLMs A notable share of LLM users have had human-like social interactions with these tools. Indeed, 38% ofusers believe it is very or somewhat likely that in the next decade LLMs will formdeep relationships with •65% have hadspoken conversationswith back-and-forth interactions with LLMs, including 34% whoregularly do this at least several times a week.•40% say the LLM they use most acts like itunderstandsthem at least some of the time.•25% say the LLM they mostly usecheers them up. Attributes of LLMs Half of LLM users (49%) think the models they use aresmarter than they are, including 26% who thinktheir LLMs are “a lot smarter.” Another 18% think LLMs are as smart as they are. Here are some of the other •Confident:57% say the main LLM they use seems to act in a confident way.•Reasoning:39% say the main LLM they use shows the capacity to think and reason at least some of thetime.•Sense of humor:32% say their main LLM seems to have a sense of humor.•Morals:25% say their main model acts like it makes moral judgments about right and wrong at least Performance and impact Overall performance:Three-quarters of LLM users are“very”or“somewhat” satisfiedwith the LLMsperformance, including 25% who are very satisfied. •Productivity:54% say their use of LLMs has improved their productivity a lot or somewhat.•Learning:50% say their use of LLMs has improved their ability to learn new skills and concepts a lot orsomewhat. •Creativity:42% say their use of