McKinsey & Company

Headlines · 5

1. 13h
   A successful AI pilot doesn't mean your AI strategy is working

   The Next Web published an interview-based analysis with Zacharie Lahmi, founder of Ellis Partners, arguing that launching an AI pilot is relatively straightforward while integrating it reliably and at scale into business operations is far harder. The article cites McKinsey's global 2026 survey, in which only 37% of respondents said AI had improved their company's earnings, unchanged from the previous year, while eight in ten said AI had helped them become more productive at work. Lahmi recommends evaluating AI opportunities one business process at a time, estimating cost and resources and agreeing measurable success criteria before a pilot, and looking beyond sales and marketing to core operational processes.

   The Next Web · 🔥 7
2. 5d
   McKinsey tests AI-simulated client interviews for entry-level candidates

   McKinsey & Company will test a new interview step this fall in some North American offices in which undergraduates applying for entry-level business-analyst roles hold a roughly 10-minute conversation with an AI-simulated client, with hundreds of candidates potentially taking part, according to The Wall Street Journal. McKinsey says the tool will not score candidates itself; partners or interviewers will be in the room to observe how applicants pick up key points and respond to shifting information. Saleem Zafar, a McKinsey Dallas partner who helped design the pilot, said it aims to reflect about 80 percent of the scenarios consultants encounter in daily work and is not meant to mimic unhinged or trap-setting clients, while global recruiting co-lead Blair Ciesil said it helps assess interpersonal skills that prepared answers can mask. The reports say McKinsey could extend the approach to other roles next year if the pilot goes well.

   The Verge AI · 🔥 0
3. Oct 11
   McKinsey: AI may force 11 million US workers to change occupations by 2035

   A new McKinsey Global Institute report estimates that by 2035 AI and automation could reduce demand for roughly 36 million US jobs while creating about 41 million roles elsewhere, leaving a possible net gain in employment. It warns that about 11 million US workers—some 7% of the current workforce, within a range of 6 million to 16 million—may need to switch occupations entirely, equal in the baseline scenario to about 770,000 full career changes a year, roughly 3.6 times the historical average. The hardest-hit areas are office and administrative support, retail and transportation, mostly lower-wage work; low-wage workers are 7.6 times more likely than high-wage workers to need an occupational change, about 85% of growing roles require some credential or license, and around 76% cannot be done remotely.

   科技新报 · 🔥 0
4. Oct 9
   McKinsey links enterprise data with knowledge graphs for AI context

   In a theCUBE interview, McKinsey distinguished partner James Kaplan said knowledge graphs connect enterprise data with the business relationships AI applications need to support decisions, noting consumers already rely on graphs via LinkedIn, Wikipedia and social media. He said AI can now turn messy, unstructured data into structured data and deterministic business rules stored in a graph. McKinsey says it applies this through the semantic data layer of EcliptOS, its AI operating system, which Kaplan described as a "graph of databases."

   SiliconANGLE AI · 🔥 0
5. Oct 7
   McKinsey's Kutcher: AI creates jobs, more US jobs in 2035 than today

   Eric Kutcher, McKinsey & Co.'s chair of North America, said on Bloomberg Surveillance that he is very bullish on the US economy and expects there will be more jobs in 2035 than there are today. He said AI is creating jobs and pointed to high demand for software developers who help AI write code. The remarks are his personal assessment, with no data or research cited.

   Bloomberg Technology · 🔥 0

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