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Headlines · 11
- Antai MBA overhauls AI-era curriculum, plans 1,000 real-world AI projects
Shanghai Jiao Tong University's Antai College of Economics and Management is reshaping its MBA training around AI: it issued the “Antai Declaration on Business Talent Cultivation in the AI Era” on July 29, 2026, and on August 16, 2026 released a “five links” talent system covering intelligence, science and innovation, industry, the world and the university. According to the article, its “10×100 AI scenario co-creation plan” aims to work with companies across industries to build 1,000 real-world AI projects over ten years; on September 6 it published the first batch of AI scenarios and ecosystem partners, signed a strategic partnership with open-source learning community Datawhale, launched an FDE specialist training program, and released “AI+X” practical courses and selected FDE courses. Adjustments for the 2027 cohort include a uniform two-year program, a flexible 40–50 credit system and practical courses making up at least a quarter of total hours, with emphasis on three capabilities — AI4O, FDE and OPC; the school had already launched an AI MBA track in 2020, and the article stresses that humans remain the subject of decisions and responsibility.
量子位（原生 RSS） · 🔥 0 - McKinsey pilots AI-simulated client interviews for entry-level consultants
McKinsey is testing a new hiring step in some North American offices in which college applicants for entry-level business analyst roles must first hold a roughly 10-minute conversation with an AI-simulated client, meant to gauge how they react under pressure. According to The Wall Street Journal, the system is not designed to be deliberately hostile but aims to cover about 80% of real-world scenarios, playing clients with different styles, such as those curious about details or pressing for deeper explanations. The AI does not score candidates itself; human interviewers on site do the evaluating, watching whether applicants grasp the key points, respond promptly and build trust.
科技新报 · 🔥 0 - Report: Europe's AI gap is organisational, not technical, as US workplace use hits 43%
A Sifted report sponsored by London Business School argues that Europe lags the US in workplace AI adoption mainly because of an organisational gap — skills, management, trust and the cost of fitting AI into how firms work — rather than a technology gap. Citing a St. Louis Fed analysis, it says about 43% of US workers used AI for their jobs in early 2026 versus 32% in Europe, with US workers logging more than three times as many AI work hours as those in Germany, France and Italy; Eurostat data shows only 20% of EU firms use AI at all, up from 13.5% a year earlier, with Denmark at 42% and Romania at 5.2%. The report also cites McKinsey figures that 88% of organisations use AI somewhere but just 7% have fully scaled it, says more than 85% of banks supervised by the European Central Bank now use AI, and notes that UK avatar startup Synthesia reportedly turned down a $3bn offer from Adobe last year.
The Next Web · 🔥 0 - Enterprise IT infrastructure isn't built for AI inference
A TechRadar Pro perspective piece argues that enterprise IT architecture still centers on supporting model training, while inference is becoming the dominant workload. It cites IDC saying global AI investment surpassed $300 billion in 2025, Deloitte saying inference already accounts for roughly two-thirds of compute, and McKinsey projecting inference will represent 30% to 40% of total data center demand by 2030. The article says training relies on centralized GPU clusters and high-speed interconnects, whereas inference needs geographically distributed compute, commodity ethernet and low-latency connections — nearly opposite requirements — and that autonomous agents' bursty, multi-step tool calls multiply network traffic further. It also cites Gartner's prediction that 40% of enterprise applications will integrate task-specific agents by the end of 2026, IDC's projection of a tenfold surge in agent usage by 2027, and a Gartner survey finding only 28% of AI use cases fully meet ROI projections while 20% fail outright.
TechRadar · 🔥 0 - Anthropic to spend $100M training 10,000 forward-deployed engineers
Anthropic said it will invest $100 million in a program to train Frontier Deployed Engineers and launch a Claude Frontier Academy, with a goal of training 10,000 people by the end of 2027. Companies nominate engineers rather than individuals applying directly, and candidates must arrive with a defined Claude project; the first cohorts have started in New York and San Francisco — with reports also citing London — drawing participants from Accenture, Bain, Capgemini, Deloitte, McKinsey, Morgan Stanley, Novo Nordisk and Commonwealth Bank of Australia, among others. Participants first take several days of in-person training, practicing use-case selection and agent-system deployment in simulated enterprise settings, then pass a practical assessment before returning to their own companies for a 12-week residency with continued Anthropic mentoring and a final certification. Anthropic executives said strong candidates need familiarity with agentic AI systems, problem-solving and communication skills and solid engineering backgrounds, and singled out curiosity as a key trait, framing the effort as a bid to set a "gold standard" for AI skills training.
IT之家 AI · 🔥 0 - Report: US developer postings up 15% since AI coding era, junior roles down 20%
According to a CNBC report, Indeed Hiring Lab data shows U.S. software development job postings rose nearly 15% since Anthropic released Claude Code in February 2025, while overall hiring fell 7% over the same period. Growth was concentrated in senior and AI-related roles: senior positions accounted for 71% of software development hiring growth from May 2025 to May 2026, and roles with AI in the title made up 37%. Stanford's 2026 AI Index found employment for 22- to 25-year-olds in AI-related fields fell 16% since generative AI emerged, with early-career software developers down about 20%, while the U.S. Bureau of Labor Statistics projects software developer employment to grow 10% from 2025 to 2035, from roughly 1.72 million to 1.89 million.
IT之家 AI · 🔥 0 - Office AI vendors chase enterprise headcount budgets with outcome-based pricing
The article argues that office AI products such as Tencent WorkBuddy, Alibaba Wukong, Microsoft Copilot and Salesforce Agentforce are moving beyond per-seat licensing toward charging for completed work, with Agentforce billing $0.10 per standard agent action and Intercom's AI customer-service agent Fin charging $0.99 for some qualifying service outcomes. It cites a McKinsey global AI survey published in August 2026 showing 39% of respondents expected AI to shrink their company's headcount in the coming year while only 14% said it had already reduced overall staff in the past year, plus a May 2026 Gartner survey in which about 80% of large enterprises that had piloted or deployed autonomous technology reported staff reductions without evidence of better returns. The piece presents Shopify's rule requiring teams to justify why work cannot be done with AI as an example of hiring being adjusted before AI capabilities are proven, and warns that time saved on individual tasks does not equal money saved once review, deployment and maintenance are counted.
虎嗅 AI · 🔥 0 - Why AI's payoff lands with one-person firms first: FDE roles and organizational debt
An analysis piece from the Chinese newsletter "不懂经" (republished by Huxiu) argues the hottest new AI job is the Forward Deployed Engineer (FDE), with OpenAI listing the role at up to $325,000 a year and both OpenAI and Anthropic competing for such hires. Citing MIT NANDA, McKinsey and S&P Global figures on weak enterprise AI returns, it draws on the book "AI and the Octopus Organization" and an essay called "Termites and Tokens" to argue that one-person firms with no legacy structure capture AI's dividends first. It also warns that a founder plus a swarm of agents can replicate bad patterns, shifting the bottleneck from approvals to attention and judgment.
虎嗅 AI · 🔥 0 - Moving enterprise AI from pilot to production starts with data governance
A contributed TechRadar Pro Perspectives piece notes that McKinsey's 2025 global survey found 88% of respondents say their organizations regularly use AI tools in at least one business function, up from 78% a year earlier, yet only 7% say AI is fully scaled and 30% remain stuck in piloting. The author argues the bottleneck is often below the model: marketing metrics live across platforms and warehouses under different field names and rules, so models make their own assumptions and produce confident but wrong answers. The suggested fix is a governed "knowledge layer" with canonical metric definitions, cross-platform mappings, business rules and current campaign context layered on top of existing warehouses.
TechRadar · 🔥 0 - Outside the spotlight: traditional industries adopting AI faster than expected
A Chinese-language feature interviews more than ten practitioners from non-tech sectors and profiles five cases: a Foshan pig-farming-supplies owner who used AI to generate leads, move his company to the cloud and rewrite a decade-old software product; a Shanghai Jiao Tong team building AI scheduling and decision systems for manufacturers; a recent graduate who turned month-end reconciliation into an agentic workflow; and a county physics teacher and an equipment-rental owner using AI for interactive courseware and quotes. It reports that Muyuan, described as the world's largest pig producer, built a pig-farming model with Alibaba Cloud that distils veteran vets' disease-diagnosis experience into one-second results deployed across more than 1,000 farms. The article cites CAICT, McKinsey and MIT NANDA survey figures to argue the real obstacles are fragmented data, customer education and cross-department authority rather than the models themselves.
虎嗅 AI · 🔥 0 - Anthropic launches Claude Frontier Academy with $100M to train 10,000 engineers
Anthropic announced Claude Frontier Academy, a $100 million program aiming to train 10,000 forward-deployed engineers by the end of 2027, with the first cohort drawn from Accenture, Bain, Deloitte, McKinsey, Morgan Stanley and Novo Nordisk, among others. Training combines a four-day in-person bootcamp with a 12-week real project inside the participant's own organization, leading to Claude Resident Engineer and, after a second assessment, Claude Frontier Deployed Engineer credentials, with the first final certifications expected in early 2027. Enrollment is currently by company nomination through Anthropic's account or partner teams.
36氪 人工智能 · 🔥 0
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