给分数定价的生意 · AI 与应试产业 · 2026-07The Business of Pricing a Grade · AI & the Exam Industry · Jul 2026

这个行业卖的从来不是知识，是通过的概率——它给每一分标价；AI 把「学会」的成本推向零，却攻不进考场这道「最后的无 AI 区」 This industry never sold knowledge — it sells the probability of passing. It prices every single point; AI drove the cost of learning toward zero, yet cannot breach the exam hall — the 'last AI-free zone.'

数以千万计的人，正用最前沿的 AI，去准备一场禁止使用任何 AI 的闭卷考试，以竞争一个日常工作正在被 AI 替代的岗位。——这是本图的三重荒诞。Tens of millions are using the most advanced AI to prep for a closed-book exam that bans all AI, competing for a job whose daily work AI is already replacing. — this page's triple absurdity.

AI 彻底重构了「学会」的经济学，却几乎无力触动「筛选」的政治学——它让所有人在同一条独木桥上跑得更快更整齐，却无法让更多人过桥。AI has utterly rewritten the economics of learning, yet barely touches the politics of selection — it lets everyone run faster and more uniformly across the same single-log bridge, but cannot let more people cross.

主脊是应试流水线八节点（择考择岗→备考规划→内容课程→练习批改→模考冲刺→考试·无 AI 区→复试面试→上岸再战），每节点标注传统 vs AI + 强/中/弱渗透。另含最小单元「一分」定价、诚实层（宣传话术 vs 证据强度）、筛选的政治学四支柱。这是一张批判性行业解剖，不是报考或培训建议。聚焦成人应试（考公 / 考研 / 考证 / 语言考试）；相邻议题见姊妹图：坐下来的意志→growth、思维外包→mind、名师 IP 变现→creator。 The spine is the eight-node exam-prep assembly line (choose exam → plan → content → practice/grading → mock → the exam · AI-free zone → interview → pass-or-retake), each tagged traditional vs AI + strong/medium/weak penetration. Plus the atomic unit — pricing 'one point' — an honesty layer (marketing vs evidence grade), and the four pillars of the politics of selection. A critical industry dissection, not application or coaching advice. Focused on adult exams (civil-service / grad-school / certification / language); adjacent topics on siblings: the will to sit down → growth, cognitive outsourcing → mind, star-teacher IP → creator.

传统教学 · 知识Traditional · knowledge

AI 赋能 · 减负AI · efficiency

军备竞赛 · 提分焦虑Arms race · anxiety

无 AI 区 · 筛选信号AI-free zone · signal

人工 · 中性Human · neutral

98:1

2026 国考竞争比：371.8 万人过审、计划招录仅 3.81 万，且近七年首次缩招（减 1602 人）——供给侧被 AI 压平，需求侧岗位刚性稀缺2026 civil-service exam ratio: 3.718M passed screening for just 38,100 openings — and the first hiring cut in seven years. AI flattens supply; the jobs stay rigidly scarce

474→343万

考研报名从 2023 峰值 474 万 连降三年至 2026 的 343 万，首次低于国考——独木桥不是变宽，是人流改道去挤另一座Grad-school sign-ups fell from a 4.74M peak (2023) to 3.43M (2026), dropping below the civil-service exam for the first time — the bridge didn't widen; the crowd rerouted to another one

148门 / 2 天

Duolingo 两天内一次上线约 148 门 AI 生成课程——而前 100 门课花了 12 年。AI 把「内容生产」的边际成本推向零，「学会」不再稀缺Duolingo shipped ~148 AI-generated courses in two days — the first 100 took 12 years. AI drives the marginal cost of content to zero; 'learning' is no longer scarce

+354%

华图 2025 净利同比 +354%、营收 31.98 亿元反超成行业第一；三巨头全部「All in AI」，赌的却是同一批缩招岗位Huatu's 2025 net profit rose 354%, revenue ¥3.198B — now #1; all three giants went 'all in on AI,' betting on the same shrinking pool of jobs

口径警告：本页是批判性行业分析，非报考 / 培训 / 投资建议。三份研究文档聚焦成人应试（考公 / 考研 / 考证 / 语言考试），K12 与硬件作外溢层。市场规模「8700 亿→1.2 万亿」口径不一（弗若斯特沙利文等，量级参考）。凡「提分 / 降本 80% / 批改提速」类几乎全是厂商自述（D 级），已逐条标注；松鼠 AI 提分率、Bloom「2 sigma」原文出处，三份文档均查无，故不上图不杜撰。信号理论 Caplan「80% 来自信号」有争议（反方估 8%–35%，须并陈）。国考 / 考研数据为官方通报、Duolingo 为 SEC 8-K（A 级）；张雪峰 2026-03 猝死为据报道；字节河马爱学 / 豆包爱学文档未覆盖故不列。每张公司卡片右上角 A/B/C/D＝证据强度。 Basis warning: this is a critical industry analysis, not application / coaching / investment advice. The three source reports focus on adult exams (civil-service / grad-school / certification / language); K12 and hardware are spillover. Market-size figures ('¥870B→¥1.27T') disagree across sources (Frost & Sullivan et al., order-of-magnitude). Any 'score boost / 80% cost cut / faster grading' claim is almost always a vendor claim (grade D), flagged individually; Squirrel AI score-lift rates and the primary source for Bloom's '2 sigma' appear in none of the three reports, so they are neither charted nor invented. Signal theory's 'Caplan 80% signaling' is contested (critics estimate 8%–35%; both shown). Civil-service/grad-school data are official; Duolingo is SEC 8-K (grade A); Zhang Xuefeng's Mar-2026 death is per reports; ByteDance's edu apps aren't covered by the reports and are omitted. Each company card's top-right A/B/C/D = evidence strength.

◆ 最小单元 · 地基The atomic unit · foundation

「一分」的定价与「测评→反馈→再练」闭环Pricing 'one point' & the assess→feedback→drill loop

赌博的最小单元是「一次拉杆」，成瘾是「变率奖励回路」——应试是给「多拿一分」标价的一次交易。行测多一分、申论多两分、考研数学再抢五分，每一分对应「上岸概率」的微小增量。所有产品（网课 / 题库 / 批改 / 押题 / 协议班 / AI 刷题班）最终都在为「多拿一分的边际成本」定价。Gambling's atom is 'one pull of the lever,' addiction's is 'the variable-reward loop' — the exam industry is a transaction that prices 'one more point.' One point on the aptitude test, two on the essay, five more on grad-school math — each is a tiny increment of 'the probability of passing.' Every product (courses / question banks / grading / predicted questions / guarantee classes / AI drill classes) ultimately prices 'the marginal cost of one more point.'

▸ 定价单元The pricing unit

1 分point

对外讲「教育改变命运」，用户真买的是「更可见、可认证、有通过概率的信号」。商业语言不是「课程完成率」，而是「一分定价 + 概率定价」——这是全行业最反直觉、也最诚实的底层。The pitch is 'education changes destiny'; what users actually buy is 'a more visible, certifiable signal with a probability of passing.' The business language isn't 'course completion' but 'pricing per point + pricing by probability' — the industry's most counter-intuitive, most honest substrate.

▸ 生产单元 · AI 在此爆发The production unit · where AI erupts

测评Assess → 反馈Feedback → 再练Drill ↺

闭环密度 > 听课时长。做题—反馈—纠错的闭环转得越密，提分越快。AI 在此爆发：批改、答疑、出题、诊断的边际成本被推向零，让这个闭环第一次可以无限、即时、个性化地转。但注意——用「听课 / 看 AI 讲解」替代「自己做题」，是头号假学习陷阱。Loop density > lecture hours. The tighter the do–feedback–correct loop spins, the faster the score rises. AI erupts here: the marginal cost of grading, Q&A, item-generation and diagnosis goes to zero, letting the loop spin infinitely, instantly, personally for the first time. But beware — replacing 'doing problems' with 'watching lectures / AI explanations' is the number-one fake-learning trap.

立场声明：本页为批判性、祛魅的行业结构分析，拆开机制是为了让你看清「你买的到底是知识，还是通过的概率」。不美化、不教唆、不构成报考或培训消费建议。凡厂商自述的效率 / 提分数字一律显式降权标注。 Stance: a critical, demystifying structural analysis. Mechanisms are taken apart so you can see whether you're buying knowledge or the probability of passing. Nothing glamorized or instructed; not application or coaching advice. Every vendor-claimed efficiency/score figure is explicitly downweighted.

从这张图看到的五条规律Five patterns this map makes visible