What employers now demand from new hires

100% of one bank department uses generative AI daily, proving AI isn't replacing expertise, but drastically raising the bar for it.

In this episode:

• A Harvard Business Review study by Jim Doucette and Vishal Gaur found that 100% of a bank department now uses generative AI daily, highlighting rapid AI hiring changes.
• The AI impact on jobs is not about replacing expertise but significantly raising the bar for it, demanding enhanced human judgment and critical thinking.
• Educators can prepare students for AI workplace skills by integrating AI tools for initial drafts and then requiring critical evaluation and transformation using frameworks like EDIT.
• Curriculum design must evolve to assess higher-order thinking, ensuring tasks require unique human context, perspective, or judgment beyond what AI can produce.
• Cultivating 'collaborative reasoning ability'—understanding AI limitations and precision in prompts—is crucial for future generative AI employment.

Chapters:

• 00:00 — Cold open & welcome
• 00:30 — Harvard Business Review research on AI hiring changes
• 01:00 — AI raises the bar for expertise, not replaces it
• 01:45 — Preparing students to operate 'above' AI tools
• 02:15 — The EDIT framework for developing AI workplace skills
• 02:45 — Redesigning assessment for the AI impact on jobs
• 03:15 — Curriculum review for school leaders and department heads
• 03:45 — Collaborative reasoning and generative AI employment
• 04:15 — The enduring value of human judgment and creativity

How is AI changing what employers want from new hires?
Employers now seek candidates who can critically analyze and strategically transform AI outputs, rather than just performing routine tasks, effectively raising the bar for expertise.

What AI workplace skills should educators focus on teaching?
Educators should focus on teaching students to evaluate, determine accuracy, identify bias, and transform AI-generated content, moving beyond mere tool usage to higher-order thinking and judgment.

How can schools adapt curriculum to address AI hiring changes?
Schools need to redesign tasks to demand unique human context, perspective, and judgment, ensuring assessments cannot be fully completed by AI and foster collaborative reasoning abilities for generative AI employment.

Featuring: Dan Fitzpatrick, Harvard Business Review, Jim Doucette, Vishal Gaur.

Read the original source

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Transcript

SPEAKER_00 0:00

If this episode makes you think, please let us know in the comments and support us by subscribing and leaving a review. Thank you. Today we are exploring some fascinating insights from a research piece in the Harvard Business Review titled AI Is Changing What Employers Want from New Hires. This article penned by Jim Duset and Vishal Gore and published on july eighth, twenty twenty six, makes a pretty striking claim right off the bat. It talks about an executive at a large multinational bank who recently said, three years ago, no one in my department used Gen AI tools. Today 100% of the department uses Gen AI every day for hours per day. Now that's not a future prediction, is it? That's happening now. What this piece from the Harvard Business Review is suggesting is that generative AI is truly transforming employer expectations from knowledge workers. And here's the kicker. It's not by replacing expertise, but by raising the bar for it. The authors Jim Duset and Vishal Gore looked at three sectors that recruit the largest number of knowledge workers, and what they found points to a rapid and profound shift in the workplace. It's an evolution, not a revolution in terms of the underlying human need for skill, but certainly a revolution in how those skills are applied and elevated. First, let's unpack this idea of raising the bar. This isn't just about efficiency. It means that the baseline for what's considered competent is shifting upwards because AI can handle the more routine, often time-consuming aspects of a job. So if a machine can churn out a first draft, summarize documents or crunch basic data in seconds, then the human expectation becomes about what you do with that output. It's about critical analysis, strategic thinking, nuanced judgment, and creative transformation. This perfectly aligns with our core philosophy of enhancement, not replacement. AI is augmenting human capability. It's not taking over the essential human role. It's helping us hold the complexity so we have capacity for creativity. Now what does this mean for teaching students right now? Well it means we need to prepare them not just to use AI tools, but to operate above them. Think about your year ten English class. Instead of simply tasking them with writing an essay, imagine a scenario where they use an AI to generate three different first drafts based on the same prompt. Their job then becomes to critically evaluate each draft using our edit framework. Evaluate, determine accuracy, identify bias, transform. They're not just writing, they're becoming editors, critical thinkers and decision makers, choosing the best elements, identifying weaknesses, and infusing their own unique voice and argument. The real value is not in what the machine produces, but in how the student responds, evaluates, and transforms it. This is teaching them not to outsmart machines, but to outthink them, developing genuine AI workplace skills. And this is the bit that really got me thinking about Offbeek AI hiring changes. And the broader it gives AI impact on jobs. The article isn't just saying AI is a new tool, it's saying it's reshaping the definition of skill itself. We need to remember the principle of outsource the doing, not the thinking. If AI handles the doing, the initial grunt work, the repetitive tasks, then our students must be exceptionally good at the thinking, the judgment, the creativity, the strategic planning. This also means leaning into assessment methods that demand a cognitive stretch. Our tasks should ask, should we me can AI complete this without the student's unique context, perspective or judgment? If the answer is yes, then we need to redesign that task. For more insights on how AI is shaping education and what it means for your school, make sure to follow and subscribe to the podcast wherever you listen. We're constantly exploring these shifts to help you stay ahead. Here's what this means for school leaders and department heads. You might need to look at your curriculum maps for key stage four and five and ask some fundamental questions. Are we still assessing tasks that are now automated or heavily assisted by AI? Are we truly building the higher order thinking skills that these new employer expectations demand? For example, in a year eight geography lesson, instead of students just writing a report on climate change, perhaps they use an AI like Notebook LM to quickly synthesize information from various sources. Then their task becomes to critically debate the various proposed solutions, designing a persuasive presentation for a local council, addressing potential biases in the source material the AI pulled. This shift serves not just the top 20%, but also the middle 80%, giving them tools to elevate their work and focus on the intellectual heavy lifting. This isn't just about specific classroom tasks, it's about a systemic shift in how we define expertise. The concept of generative AI employment implies a collaborative reasoning ability, which is our definition of AI literacy. It's about thinking with AI, managing AI conversations with precision, and understanding AI limitations and failure modes. It's less about coding or memorizing tool features, and much more about human judgment and creativity. Machines can compute, they cannot wonder, they cannot care. These remain the invaluable human domains we must cultivate and protect in our students. Ultimately, the Harvard Business Review research underscores that we must design learning that cannot be faked because it demands depth, care, and imagination. That's all for today. Thanks for listening.