AI is now central to every executive conversation — not just for innovation, but for productivity, headcount strategy and cost optimization: https://gtnr.it/4ufbGAs 💻 Watch our most liked on-demand webinar for practical look at workforce and productivity shifts in the age of AI. #GartnerIT #AI #Productivity #CostOptimization
AI central to executive conversations on productivity and cost
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AI is now central to every executive conversation — not just for innovation, but for productivity, headcount strategy and cost optimization: https://gtnr.it/3MCgeRk 💻 Watch Gartner's most liked on-demand webinar for practical look at workforce and productivity shifts in the age of AI. #AI #Productivity #CostOptimization
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Many of my executive clients are thinking about this reframe and how to communicate the value of AI within their workforce. Lots of great insights and data in this post, take a look! As AI autonomy grows, an increasing amount of the IT work done today can be delegated to AI: https://gtnr.it/4cZJR9L 💬 CIOs must reframe the conversation; rather than asking what work AI can take away, they should lead the exploration of what new possibilities AI unlocks for their human workforce. #GartnerIT #CIO #AIInvestments #AI
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In the news: What the AI ‘jobpocalypse’ narrative misses - Financial Times: What the AI ‘jobpocalypse’ narrative misses Financial Times http://dlvr.it/TSD114 Join: zcalar.com #AI #JobPocalypse #FutureOfWork #Automation #JobMarket
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AI adoption is accelerating. Seller productivity isn’t. Without visibility into seller behaviors, AI scales noise—not results. Read our latest research on rebuilding seller performance for the AI era: https://gtnr.it/4cEaVJU #GartnerSales #SalesProductivity #AI
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"Has AI Become Economically Real?" Clip from Episode 25 — AI as Economic Infrastructure Full Episode: https://lnkd.in/eJaGiG6p AI adoption is accelerating rapidly. But adoption is not proof of value. Many organizations are now operating in a transitional phase, where AI is integrated into workflows but not yet consistently tied to measurable outcomes. The key question is no longer whether AI can be used. It is whether it is producing real economic impact. That distinction will define the next phase of competition. #TorontoTalks #AI #Strategy #BusinessTransformation
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The AI job creation debate highlights contrasting views on automation and employment, underscoring the need for balanced strategies as AI adoption accelerates. Read more: https://lnkd.in/g--yKSCU #AI #FutureOfWork #Innovation
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"The Transition Phase" Clip from Episode 25 — AI as Economic Infrastructure Full Episode: https://lnkd.in/eJaGiG6p AI adoption is clearly underway. It is embedded in workflows. It is generating revenue in certain environments. And yet, outcomes remain inconsistent across many organizations. This creates a sense of ambiguity. But that ambiguity is not a failure state. It is a transition state. We are at the threshold between early adoption and full system transformation. And thresholds are inherently uncomfortable. #TorontoTalks #AI #Strategy #BusinessTransformation
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The current cost of utilizing artificial intelligence is unprecedentedly low. The volume of work that AI executes in a single month would have cost a minimum of $15,000 just three years ago. Today, these operational costs are a mere $200. At what price point would you abandon AI and return to hiring human employees? #ArtificialIntelligence #AI #FutureOfWork #BusinessEfficiency #CostReduction
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Is AI replacing workers . . . or redefining work itself? FOLCS’ latest Conversation brought together AI expert Jaron Lanier and renowned neuroscientist David Eagleman to unpack what the AI era’s impact will be on human creativity and labor. See a clip from the event below: https://lnkd.in/g9fZ9Bzm #AI #FutureOfWork #FOLCS #HumanFirst
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Amidst fears of job losses due to AI, the reality for many professionals is different. While media headlines focus on scare tactics, organizations are increasingly leveraging AI, particularly LLMs, to enhance efficiency, reduce losses, and improve compliance. The narrative isn't solely about job displacement, but also about augmentation and strategic deployment. Understanding the nuances, like the Pareto principle (80/20 rule) and its deeper layers (80/80/20, etc.), highlights that AI, while powerful, won't provide all the answers. Critical thinking and mindful application remain essential. #AI #FutureOfWork #LLMs #BusinessStrategy #Productivity #Technology
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