{"id":97308,"date":"2025-11-05T16:26:42","date_gmt":"2025-11-05T21:26:42","guid":{"rendered":"https:\/\/danielschristian.com\/learning-ecosystems\/?p=97308"},"modified":"2025-11-05T16:27:28","modified_gmt":"2025-11-05T21:27:28","slug":"the-problem-with-just-handing-over-an-army-of-agents-to-junior-consultants-other-items-re-ai-in-general","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2025\/11\/05\/the-problem-with-just-handing-over-an-army-of-agents-to-junior-consultants-other-items-re-ai-in-general\/","title":{"rendered":"The problem with just handing over an army of agents to junior consultants + other items re: AI in general"},"content":{"rendered":"

KPMG wants junior consultants to ditch the grunt work and hand it over to teams of AI agents<\/strong><\/a> — from businessinsider.com by Polly Thompson<\/p>\n

The\u00a0Big Four\u00a0consulting and accounting firm is training its junior consultants to manage teams of\u00a0AI agents\u00a0\u2014 digital assistants capable of completing tasks without human input.<\/p>\n

“We want juniors to become managers of agents,” Niale Cleobury, KPMG’s global AI workforce lead, told Business Insider in an interview.<\/p>\n

KPMG plans to give new consulting recruits access to a catalog of AI agents capable of creating presentation slides, analyzing data, and conducting in-depth research, Cleobury said.<\/p>\n

The goal is for these agents to perform much of the analytical and administrative work once assigned to junior consultants, allowing them to become more involved in strategic decisions.<\/p>\n

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From DSC:<\/span><\/em>
\nFor a junior staff member to provide quality assurance in working with agents, an employee must know what they’re talking about in the first place. They must have expertise and relevant knowledge. Otherwise, how will they spot the hallucinations? <\/span><\/strong><\/p>\n

So the question is, how can businesses build such expertise in junior staff members while they are delegating things to an army of agents? This question applies to the next posting below as well. Having agents report to you is all well and good — IF you know when the agents are producing helpful\/accurate information and when they got things all wrong.<\/span><\/strong><\/p>\n

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This Is the Next Vital Job Skill in the AI Economy<\/strong><\/a> — from builtin.com by\u00a0Saurabh Sharma
\nThe future of tech work belongs to AI managers.<\/em><\/p>\n

Summary:\u00a0<\/strong>A fundamental shift is making knowledge workers “AI managers.” The most valuable employees will direct intelligent AI agents, which requires new competencies: delegation, quality assurance and workflow orchestration across multiple agents. Companies must bridge the training gap to enable this move from simple software use to strategic collaboration with intelligent, yet imperfect, systems.<\/p>\n

The shift is happening subtly, but it\u2019s happening. Workers are learning to prompt agents, navigate AI capabilities, understand failure modes and hand off complex tasks to AI. And if they haven\u2019t started yet, they probably will: A new\u00a0study<\/a>\u00a0from IDC and Salesforce found that 72 percent of CEOs think most employees will have an AI agent reporting to them within five years. This isn\u2019t about using a new kind of software tool \u2014 it\u2019s about directing intelligent systems that can reason, search, analyze and create.<\/p>\n

Soon, the most valuable employees won\u2019t just know how to use AI; they\u2019ll know how to manage it. And that requires a fundamentally different skill set than anything we\u2019ve taught in the workplace before.<\/p>\n

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AI agents failed 97% of freelance tasks; here’s why…<\/strong><\/a>\u00a0— from theneurondaily.com by Grant Harvey<\/p>\n

AI Agents Can’t Actually Do Your Job (Yet)\u2014New Benchmark Reveals The Gap<\/strong><\/p>\n

DEEP DIVE: AI can make you faster at your job, but can only do 2-3% of jobs by itself.<\/p>\n

The hype: AI agents will automate entire workflows! Replace freelancers! Handle complex tasks end-to-end!<\/p>\n

The reality: a measly 2-3% completion rate.<\/p>\n

See, Scale AI and CAIS just released the\u00a0Remote Labor Index<\/a>\u00a0(paper<\/a>), a benchmark where AI agents attempted real freelance tasks. The best-performing model earned just $1,810 out of $143,991 in available work, and yes,\u00a0finishing only 2-3% of jobs.<\/i><\/p>\n

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