AI is real. The talent strategy lacks.
AWS now requires humans behind every AI-generated PR. 35.6% of companies that cut roles for AI already rehired more than half back. Plus Jeff Nugent on IC compliance, curated MENA and APAC solutions, and 7 industry insights.
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AI is real. The talent strategy lacks.
Two stories broke this week that signal the state of the world.
First, AWS came out and admitted they need a human behind every AI-generated pull request. After a series of outages tied to AI-assisted code changes, Amazon now requires senior engineer approval before any AI-generated code ships.
Then, data came out that 35.6% of organizations that conducted AI-led layoffs have already rehired for more than half of the roles they eliminated.
Welcome to the contradiction. AI is real. It is influencing and directly gutting large amounts of work. Yet without the right talent strategy, AI is wasting billions.
According to RAND Corporation, 80% of AI projects fail. Gartner predicts 30% of generative AI projects will be abandoned after proof of concept. That's the highest failure rate of any IT initiative in history.
So what gives? Traditional talent just doesn't work in the age of AI. It's not all useless (there will always be jobs, there will always be full-time employment). But like the Model T, flexible talent is just better than a horse in most cases.
That's why I wrote my analysis on why AI will always need the human layer, no matter how agentic you make your workforce.
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