📰 The InformationThe InformationDoubao · 实盘不做把握 5/10不做原因:证据不足
北京时间·🕒 发布 02:16:20时区推断·⟳ 抓取 02:16:21·⚡ 决策 10-14 02:17:57 +1m36s·13.9 天前
The Information 专栏:AI 支出回报仍偏“感觉”,Workday 推出 headless 代理平台被质疑向 AI 厂商让出界面
信号本质是 The Information 的观点专栏加一项无财务量化的 SaaS 产品发布:Wharton 调研只给行业层面的模糊调查数据(且提示 2027 年支出增速放缓),Workday headless 工具变现远在 2027 年 2 月、叙事还偏‘让出界面’的负面,没有可定位的正期望交易标的,方向不明。
📄 原文The Information↗ 原文
Why Companies Can't Prove Their AI Spending Pays Off
Of course, improving productivity isn’t something to sneeze at, especially when it means that companies are using AI to…
不做 Workday(WDAY.US)
当日发布为无金额、无指引的产品功能更新,按调用收费要到 2027 年 2 月才开始,媒体框架偏负面(界面让渡给 Anthropic/OpenAI/微软),方向与预期差均不明确,无交易 edge
不做 AI 支出主题(行业调研观点)(N/A)
Wharton 调研为行业层面软数据,且提示回报难量化、2027 预算增速放缓,无法映射到具体可交易标的的盈利变化,属宏观叙事不具个股可执行性
展开详情(成交明细 / 研究档案 / 原文全文 / 决策记录链)
研究档案
结论摘要
该文是行业观点专栏,核心为‘AI 回报难量化、2027 支出大幅增长预期降温’的软数据;唯一公司级新闻 Workday headless 平台无金额、无指引且负面框架,构不成可交易催化,回避。
主要风险
- 若 Workday 客户大会期间给出超预期的 headless 调用定价或大客户采用数据,该产品发布可能被重新解读为利好,本判断需复核
- 专栏中 2027 年 AI 预算‘大幅增长’预期降至 10% 的数据若被更多媒体放大,可能在板块层面引发 AI 基建/软件情绪波动,但不构成个股直接催化
反向证据
- 做多前查反向 · 来源 web · 影响 weakens
正文未提供任何定价、采用量或分析师上调依据,变现起始日远在 2027 年 2 月;缺乏做多的 materiality 支撑
检索:Workday headless agent platform pricing guidance revenue impact analyst reaction 原文 ↗
先例如何影响了这次决策
对本次决策的影响:先例缺失本身支持回避:缺乏硬催化与可量化 materiality,不进入交易
方向:无可用于校准的高相似先例:本信号是无财务量化的观点专栏+产品发布,不存在明确的同机制、同相位市场事件面板
涨幅量级:未做幅度校准,亦无需据此设定止盈止损,因为不开仓
形态:不足以判断见光死模式
工具执行结果 · 成功 1 · 降级 0 · 失败 0 · 取消 0
- search_processed_events 成功 stock_tools HTTP · 15 ms
{"result": "search_processed_events:agent query=`wharton study ai spending return managers survey strongly positive | workday headless ai agents platform anthropic openai microsoft connectors | workday sana headless access hr fin`;结构化索引覆盖完整 72 小时;旧记录兼容扫描近 0.0/72 小时、0 条本臂决策(完整),返回 0 条候选。未命中只表示这些 agen
原文全文
展开原文 · 7,104 字
Of course, improving productivity isn’t something to sneeze at, especially when it means that companies are using AI to replace labor for things like external contractors, customer service or responding to IT support tickets.
Still, Jeremy Korst, one of the Wharton study’s authors, said it was “very difficult” to find “actual, materially measurable financial impacts” from AI spending.
Today, measuring returns is more about vibes and managers’ “perception” of a return, rather than hard numbers, he said. AI is still in the early rollout phase, he said, so this level of return is “normal” or in line with previous technology adoption cycles.
Some 80% of managers in the study reported positive returns from using AI, and many of them work in IT, finance or HR.
But the 28% of managers who went a step further to say their organization was showing “strongly positive” returns were also more likely to work at companies that measure AI returns based on “growth outcomes” such as new revenues generated, not just cost savings from worker productivity, Korst said. (In comparison, 35% of The Information subscribers—which tend to be from technology businesses and investment firms—[said in a recent survey](https://www.theinformation.com/newsletters/applied-ai/chinese-open-models-win-one-five-informations-subscribers?rc=c48ukx) that they were getting a “multiple” return on their AI spending, though only 52% of respondents said they were getting a positive return overall.)
In our own reporting, examples of non-tech firms getting revenue gains from AI seem to be few and far between. Novo Nordisk previously told us it [built AI agents to audit and coordinate clinical trials](https://www.theinformation.com/newsletters/applied-ai/ozempic-maker-says-ai-agents-shortening-clinical-trials), with expected additional revenue in the tens or hundreds of millions of dollars a year. And Walmart CEO David Guggina said during the Goldman Sachs technology conference in September that customers using its AI assistant Sparky spent 40% more on their orders on average. Most other examples cited in this column over the years showcase labor and time savings.
The Wharton study suggests that corporate spending on AI will keep rising quickly only if companies show a strong return on that spending, linking it to growth outcomes such as new revenue from AI and higher output, such as how much equipment a manufacturer produces, rather than cost-cutting.
For now, though, spending is rising at a decent clip. About 45% of managers said their companies are set to spend $10 million or more on AI this year, up from 39% in 2025.
But substantial increases in AI budgets may not be as plentiful in 2027, the study suggested. Just 10% of managers in the survey said they expect their company’s AI spending to rise “substantially” in the coming 12 months, compared to 19% of managers who said so in 2025.
One bright spot: Companies may be getting better at tracking their AI spending. Some 40% of managers in the survey said they were “very” confident in their company’s ability to track such spending, and another 39% said they were “fairly confident.” Just 17% were “somewhat confident.”
**Workday Joins Salesforce in Providing ‘Headless’ Option**
Workday on Tuesday [revealed new tools](https://newsroom.workday.com/2026-10-13-Workdays-Trusted-Agent-Platform-Now-Delivers-Headless-Access-to-HR-and-Finance,-Letting-Customers-Build-and-Run-Lawful-AI-Agents) that let customers use AI agents made by firms such as Anthropic, Microsoft and OpenAI to automate tasks in their Workday accounts more effectively.
The tools are similar to Salesforce’s SIforce, which last month was known as AIforce and, before then, Headless 360.
As I [reported in detail last week](https://www.theinformation.com/articles/saaspocalypse-workday), some employees and investors worry that Workday and Salesforce’s new tools are effectively a capitulation to the new crop of AI providers, and that the software firms will become “dumb” infrastructure, or glorified databases. But Workday and Salesforce leaders say they’ll make plenty of money this way.
“I would basically say we‘re giving customers choice,” CEO Aneel Bhusri said in a press briefing ahead of the company’s customer conference in Las Vegas. “We do have a user experience that is direct through Workday, through Sana [Workday’s AI platform] that is absolutely world class. But if a customer wants to choose headless”—meaning, using another company’s AI to access Workday—“that’s fine,” he said.
“I'd always prefer if they use our user interface, but headless will be equally good for Workday.”
Workday will charge customers based on how often they use AI agents to tap connectors and perform actions in Workday starting in February of 2027, at the end of the company’s “grace period” for customers to use such tools without extra fees.
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The Information's WTF Summit returns to Napa Valley, bringing together the women shaping tech, media and finance. Confirmed speakers include Whitney Wolfe Herd (Bumble), Anne Wojcicki (23andMe Research Institute), Kim Posnett (Goldman Sachs) and comedian & entrepreneur Whitney Cummings, with more to come. Expect candid conversations and a room built for meaningful exchange. Tickets are selling fast—reserve your spot now.
[More details](https://www.theinformation.com/events/wtf-summit-2026)
#### [Tuesday, November 10 — The Long Road to an IPO](https://www.theinformation.com/events/the-long-road-to-an-ipo)
The Information's Dakin Campbell will host a panel discussion on the evolving landscape of public listings and exit opportunities during SF Tech Week, sponsored by NYSE.
[More details](https://www.theinformation.com/events/the-long-road-to-an-ipo)
Still, Jeremy Korst, one of the Wharton study’s authors, said it was “very difficult” to find “actual, materially measurable financial impacts” from AI spending.
Today, measuring returns is more about vibes and managers’ “perception” of a return, rather than hard numbers, he said. AI is still in the early rollout phase, he said, so this level of return is “normal” or in line with previous technology adoption cycles.
Some 80% of managers in the study reported positive returns from using AI, and many of them work in IT, finance or HR.
But the 28% of managers who went a step further to say their organization was showing “strongly positive” returns were also more likely to work at companies that measure AI returns based on “growth outcomes” such as new revenues generated, not just cost savings from worker productivity, Korst said. (In comparison, 35% of The Information subscribers—which tend to be from technology businesses and investment firms—[said in a recent survey](https://www.theinformation.com/newsletters/applied-ai/chinese-open-models-win-one-five-informations-subscribers?rc=c48ukx) that they were getting a “multiple” return on their AI spending, though only 52% of respondents said they were getting a positive return overall.)
In our own reporting, examples of non-tech firms getting revenue gains from AI seem to be few and far between. Novo Nordisk previously told us it [built AI agents to audit and coordinate clinical trials](https://www.theinformation.com/newsletters/applied-ai/ozempic-maker-says-ai-agents-shortening-clinical-trials), with expected additional revenue in the tens or hundreds of millions of dollars a year. And Walmart CEO David Guggina said during the Goldman Sachs technology conference in September that customers using its AI assistant Sparky spent 40% more on their orders on average. Most other examples cited in this column over the years showcase labor and time savings.
The Wharton study suggests that corporate spending on AI will keep rising quickly only if companies show a strong return on that spending, linking it to growth outcomes such as new revenue from AI and higher output, such as how much equipment a manufacturer produces, rather than cost-cutting.
For now, though, spending is rising at a decent clip. About 45% of managers said their companies are set to spend $10 million or more on AI this year, up from 39% in 2025.
But substantial increases in AI budgets may not be as plentiful in 2027, the study suggested. Just 10% of managers in the survey said they expect their company’s AI spending to rise “substantially” in the coming 12 months, compared to 19% of managers who said so in 2025.
One bright spot: Companies may be getting better at tracking their AI spending. Some 40% of managers in the survey said they were “very” confident in their company’s ability to track such spending, and another 39% said they were “fairly confident.” Just 17% were “somewhat confident.”
**Workday Joins Salesforce in Providing ‘Headless’ Option**
Workday on Tuesday [revealed new tools](https://newsroom.workday.com/2026-10-13-Workdays-Trusted-Agent-Platform-Now-Delivers-Headless-Access-to-HR-and-Finance,-Letting-Customers-Build-and-Run-Lawful-AI-Agents) that let customers use AI agents made by firms such as Anthropic, Microsoft and OpenAI to automate tasks in their Workday accounts more effectively.
The tools are similar to Salesforce’s SIforce, which last month was known as AIforce and, before then, Headless 360.
As I [reported in detail last week](https://www.theinformation.com/articles/saaspocalypse-workday), some employees and investors worry that Workday and Salesforce’s new tools are effectively a capitulation to the new crop of AI providers, and that the software firms will become “dumb” infrastructure, or glorified databases. But Workday and Salesforce leaders say they’ll make plenty of money this way.
“I would basically say we‘re giving customers choice,” CEO Aneel Bhusri said in a press briefing ahead of the company’s customer conference in Las Vegas. “We do have a user experience that is direct through Workday, through Sana [Workday’s AI platform] that is absolutely world class. But if a customer wants to choose headless”—meaning, using another company’s AI to access Workday—“that’s fine,” he said.
“I'd always prefer if they use our user interface, but headless will be equally good for Workday.”
Workday will charge customers based on how often they use AI agents to tap connectors and perform actions in Workday starting in February of 2027, at the end of the company’s “grace period” for customers to use such tools without extra fees.
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[https://www.theinformation.com/articles/applied-lam-overlooked-chip-equipment-stocks](https://www.theinformation.com/articles/applied-lam-overlooked-chip-equipment-stocks)True Value
#### [Applied And Lam Are Overlooked Chip Equipment Stocks](https://www.theinformation.com/articles/applied-lam-overlooked-chip-equipment-stocks)
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[https://www.theinformation.com/articles/trump-administration-plans-move-ai-testing-agency-officials-white-house](https://www.theinformation.com/articles/trump-administration-plans-move-ai-testing-agency-officials-white-house)Exclusive
#### [Trump Administration Plans to Move AI Testing Agency Officials to White House](https://www.theinformation.com/articles/trump-administration-plans-move-ai-testing-agency-officials-white-house)
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#### [Applied Intuition Fields Offers at $30 Billion Valuation](https://www.theinformation.com/articles/applied-intuition-fields-offers-30-billion-valuation-2)
By Stephanie Palazzolo
### Upcoming Events
#### [Tuesday, October 27 — The Information’s 2026 WTF Summit](https://www.theinformation.com/events/wtf-summit-2026)
The Information's WTF Summit returns to Napa Valley, bringing together the women shaping tech, media and finance. Confirmed speakers include Whitney Wolfe Herd (Bumble), Anne Wojcicki (23andMe Research Institute), Kim Posnett (Goldman Sachs) and comedian & entrepreneur Whitney Cummings, with more to come. Expect candid conversations and a room built for meaningful exchange. Tickets are selling fast—reserve your spot now.
[More details](https://www.theinformation.com/events/wtf-summit-2026)
#### [Tuesday, November 10 — The Long Road to an IPO](https://www.theinformation.com/events/the-long-road-to-an-ipo)
The Information's Dakin Campbell will host a panel discussion on the evolving landscape of public listings and exit opportunities during SF Tech Week, sponsored by NYSE.
[More details](https://www.theinformation.com/events/the-long-road-to-an-ipo)
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65a1de312b· 2026-10-14 02:17 · doubao / doubao-seed-evolving-latest-version · 策略包2226518bfdee当前