🤖 AI Summary
The UK has launched an ambitious push to create an “AI-native” generation—starting with TechFirst, a £187m program to embed AI across the curriculum and fund selective master’s degrees—so students graduate fluent in AI tools the way previous generations used calculators or search. That pipeline promises a workforce that arrives already comfortable with generative models and automation, but also raises a stark challenge: many organisations lack the culture, tooling and leadership to harness those skills. The article cites industry research showing 65% of AI projects have been abandoned for lack of internal capability, while millennials are 1.4× more likely to know generative AI and 1.2× more likely to expect near-term workflow change; conversely 91% of C-suite leaders admit overstating their AI knowledge.
For employers the implications are concrete. Beyond hiring fundamentals, firms must redesign onboarding to give context, adopt outcome-driven management (OKRs), streamline software access while balancing security, and invest in networking and EQ so human knowledge isn’t siloed. Crucially, continuous, embedded upskilling—short, on-demand, real-world learning—becomes the competitive edge to avoid common failures (solving wrong problems, launching without tool understanding, lacking data/infrastructure). The takeaway: AI-native employees will reshape organisations whether leaders prepare intentionally or reactively; success depends on culture, clear goals, pragmatic security, and lifelong learning.
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