Tag Archives: Artificial intelligence (AI)

Everyone wants to kill the middle manager role. The data says don’t do it(FC)

There’s even a name for this—the “Great Flattening”—and it’s everywhere. Some 41% of employees say their companies trimmed management layers last year, according to Korn Ferry’s survey of 15,000 professionals worldwide. Middle managers accounted for more than 31% of all layoffs in 2023. And it’s not likely to stop, but to accelerate instead: Gartner predicts that through 2026, 20% of organizations […]
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AI Is Exposing Why Organizations Promote The Wrong Leaders(Forbes)

Organizations are redesigning work for AI while still promoting managers for a pre-AI world. The criteria that built their leadership pipelines may now be working against them. The traits that helped managers succeed in a pre-AI workplace — confidence, visibility and decisiveness — were optimized for environments where leaders were expected to project certainty, move […]
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How leaders are turning AI disruption into a workforce advantage(FC)

Employees are right to feel unsettled. As AI embeds itself deeper into enterprise workflows, the questions it raises aren’t just about efficiency — they’re about the fundamental structure of work itself. Which roles survive? Which skills actually matter? And who bears accountability when a machine acts on your behalf? Reports from the International Labor Organization and the […]
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A model to accelerate energy technology innovation(FC)

The global energy industry is under pressure to innovate. Energy companies need vetted, field-tested technologies that improve efficiency, enhance safety, and streamline operations. On the other side of the spectrum, early-stage startups developing new technologies struggle to access customers, test environments, and capital. These parallel challenges can slow crucial energy innovation, creating a commercialization gap. […]
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AI might make your company faster, but at what cost?(FC)

Artificial intelligence may be driving rapid results, but it could lead to the quiet erosion of relationships in your company. There’s a quiet trade-off happening inside high-growth companies right now. We’re moving faster than ever, and teams are more efficient. AI is handling work that used to take hours, and asynchronous communication means decisions don’t have to […]
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Nobody Beats You At Being You: LinkedIn’s Bet On Humans Over AI(Forbes)

Aneesh Raman has had the kind of career that sounds like it was invented in a script-writing room. He covered wars for CNN, wrote speeches for President Barack Obama, worked his way through startups, and now serves as Chief Economic Opportunity Officer at LinkedIn, where a dataset drawn from more than 1.2 billion members gives […]
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You don’t have to increase employee numbers to grow(FC)

According to a JPMorgan report, nearly half of corporate leaders say they plan to expand their workforces in 2026. Yet service-industry businesses, ranging from creative agencies and financial services to specialized healthcare providers, can meet annual goals without adding headcount. Revamping infrastructure instead can power up annual wins with a clearer path to success. All service-focused […]
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22 Top AI Statistics And Trends(Forbes)

Discover the most impactful artificial intelligence (AI) statistics that highlight the growth and influence of artificial intelligence, such as chatbots on various industries, the economy and the workforce. Whether it’s market-size projections or productivity enhancements, these statistics provide a comprehensive understanding of AI’s rapid evolution and potential to shape the future. Learn about the AI trends that will determine […]
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You can’t train your way out of the AI skills gap(CIO)

Teaching your team to use AI is great, but if you send them back into the same old slow meetings and approval loops, you’re just making broken processes move faster. Most enterprises I talk to say they have an AI skills gap. That sounds plausible right up until you look at what companies are doing. […]
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Best Practices for Integrating Machine Learning Models into Existing Applications (AIJ)

What if a high-performance machine learning model doesn’t work in practice? It’s not as rare as you might think. Researchers report that almost 70 to 80% of machine learning (ML) projects are not deployed in production due to a lack of planning, data, or integration. It’s not the model. It’s the process of integrating machine learning […]
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