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Showing posts with the label FutureOfWork

From Operator to AI Teammates: The Next Evolution of Autonomous AI

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Twenty-one months ago, I wrote about how OpenAI’s Operator could transform traditional automation. Today, with the arrival of Claude Duet, ChatGPT Dots, Meta Muse, and Grok Bot, that prediction is evolving into something much bigger: AI systems that don’t just execute tasks, but proactively manage work. When AI Learned to Use a Computer On January 24, 2025, I published an article titled How OpenAI’s Operator Outpaces Traditional RPA . It was just one day after OpenAI introduced Operator, an experimental AI agent capable of interacting with websites much like a human being. At the time, I argued that Operator represented an important shift in automation. Traditional Robotic Process Automation (RPA) relied heavily on predefined rules, scripted interactions, and structured workflows. These technologies were highly effective at repetitive tasks, but often required adjustments whenever an application changed or an unexpected situation appeared. Operator in...

Stop Asking Whether It Was Made by AI The better question is: What did the human contribute?

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Recently, I came across a reflection by Dr. Ahmed Omar Hawsawi that immediately connected with a series of articles I have been writing about AI, authorship and authenticity. He described a situation that I suspect many of us are beginning to encounter. Someone presents an impressive presentation. It is clear, beautifully structured and professionally designed. Then comes the comment: “Obviously this was made by AI.” And sometimes there is an unspoken second sentence: “Therefore, it is somehow less valuable.” That is where I think our conversation about artificial intelligence has taken a wrong turn. Because increasingly, “This is AI” is being used not as a description of a tool, but as a criticism of the person who used it. We Are Judging the Tool Instead of the Work Imagine that employee presenting the slides. Perhaps AI created the visual layout. Perhaps it reorganized the bullet points. Perhaps it summariz...

8 AI Storylines, June 2025

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Artificial-intelligence research, policy and investment have all accelerated in the first half of 2025. From the electricity that powers gigantic models to the ethics of synthetic media, the AI conversation now touches energy grids, labour markets, health care and search itself. Below is a concise roundup of the themes dominating headlines this month, with links to the most useful primary reporting. 1 | The power hunger: AI’s soaring energy bill Recent modelling shows that data-centre electricity devoted to large-scale AI could eclipse Bitcoin’s consumption well before the end of 2025, potentially topping 120 TWh a year.( techspot.com , mezha.media ) To stay ahead of demand, Meta has signed a long-term agreement with Constellation for nuclear-generated power to feed its Illinois AI facilities—one of several utility-scale deals now being struck by hyperscalers.( reuters.com , about.fb.com ) Chipmakers are also racing to curb watts per token. Nvidia’s new Blackwell GPU...