By Jeremy Stone, December 2, 2024 When algorithms outthink humans, the corner office may become a relic of the past. The CEO’s office is still. Too still. No hurried phone calls, no tense debates over projections. Just the low hum of an AI assistant, flashing data across a smart wall. Decisions are being made faster than any human could manage—but no one’s in the room to call them bold or brilliant. It feels... eerie. Like the start of a sci-fi film, except it’s not fiction anymore. This is the kind of future Greg warned us about in his gregorian AI Predictions, particularly his striking claim that we’re heading toward “a world with no CXOs.” At first, it sounds like something you’d toss around at a late-night think tank session—provocative, sure, but not real. And yet, here we are. The pace of Generative AI’s evolution has turned Greg’s vision into more than just a thought experiment. As he aptly put it, “Leaders who hesitate to embrace AI’s potential will find themselves replaced—not merely augmented.” For years, we’ve romanticized the idea of leadership. The lone visionary at the helm, steering the ship with a mix of gut instinct and carefully honed strategy. But Generative AI doesn’t work like that. It doesn’t rely on instinct, and it doesn’t hesitate. It processes. It predicts. It decides. And increasingly, it’s outperforming its human counterparts in domains we once considered untouchable. Take Deloitte’s report, The Role of the CEO in Tomorrow’s Generative AI World. It points out, with a sense of inevitability, that the disruption of Generative AI has “finally reached the role ofthe CEO itself,” shifting leadership from human hands to machine logic. That’s not just a change in how decisions are made—it’s a change in what it means to lead. Picture this: An office technology company faces a turbulent quarter. Supply chains are unstable, customers are fickle, and competitors are circling like sharks. In the past, a team of executives would lock themselves in a conference room, hashing out a plan over hours of coffee and argument. Today, an AI executive synthesizes years of market data, predicts outcomes, and delivers a strategy—all in the time it takes for someone to brew a fresh pot of coffee. It sounds efficient, doesn’t it? Almost reassuring. Until you start wondering: Where’s the grit in that story? The courage to take a risky leap? The moment someone says, “Let’s do this because it feels right”? Leadership is about more than spreadsheets and probabilities. Or at least, it used to be. In the copier and office technology industry—an ecosystem built on tight margins and relentless competition—this shift is already palpable. Generative AI isn’t just optimizing processes; it’s redefining the very nature of decision-making. Machines don’t need breaks, they don’t panic under pressure, and they certainly don’t second-guess themselves. They just work, tirelessly, until they’ve turned complexity into clarity. But there’s a trade-off here, isn’t there? Sure, AI can handle the technical stuff—supply chains, pricing models, even customer behavior analysis. But can it inspire? Can it pull a team together in tough times or deliver a speech that sparks belief in the impossible? I keep coming back to something I heard recently: “AI can delegate tasks, but can it delegate culture?” The technology itself is breathtaking. Neural networks, like the ones used in cutting-edge image recognition, have been adapted to untangle the chaos of global markets. They sift through data with an elegance that makes human attempts look clumsy by comparison. But no matter how advanced they get, they’ll never have the sleepless nights, the gut calls, or even the occasional brilliant misstep that define a great leader. Deloitte’s report notes that this transformation challenges leaders on a moral and emotional level, not just an operational one. And that feels right. Because when you strip away the human element, what’s left? A perfectly efficient system? Or an unsettling reminder that we’re dispensable in ways we never imagined? Still, history isn’t kind to resistance. The printing press didn’t wait for scribes to get comfortable. The assembly line didn’t ask artisans for their blessing. Technology doesn’t slow down for anyone. Greg was right: Those who hesitate won’t just fall behind—they’ll be left out entirely. Yet even as AI marches forward, I can’t help but feel a pang of nostalgia for the messiness of human leadership. The high-stakes meetings that stretched into the early hours. The bold, reckless decisions that sometimes paid off spectacularly. The moments when leaders were more than decision-makers—they were storytellers, risk-takers, and unifiers. So, what happens when those moments are optimized away? What are we left with? Efficiency, precision, predictability. But perhaps something else—something intangible—is lost. As the hum of AI grows louder in boardrooms, I wonder if we’re ready for what’s coming. Are we embracing a better, bolder future? Or are we quietly bidding farewell to something irreplaceable? The answer, like the technology itself, won’t wait for us to decide. It’s already here, reshaping the world—and us—with every passing moment.
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Ayad Akhtar’s play challenges us to face the uneasy truths about what happens when human creativity meets machine intelligence. By Grayson Patrick Trent, November 20, 2024 In the dim glow of the Vivian Beaumont Theater, something extraordinary stirs. It’s not just the play—the narrative itself is remarkable, yes, but it’s the weight of what it forces you to consider that truly lingers. Ayad Akhtar’s McNeal isn’t content to let you sit back and absorb. It prods, it needles, it dares you to look closely at the uneasy relationship between human creativity and artificial intelligence. And let me tell you, it doesn’t let you off the hook. The air in the room felt alive that night, charged with a nervous kind of energy. Maybe it was the presence of Robert Downey Jr., larger than life even in a theater packed with admirers. Or maybe it was his counterpart—a “Metahuman Digital Likeness,” so lifelike it seemed to breathe along with him. Watching this virtual double step into the story alongside the actor himself, I couldn’t help but shift in my seat. It wasn’t just impressive—it was unsettling. You could see every micro-expression, every twitch of emotion, perfectly rendered. And that’s where it got me. Who owns a performance when part of it exists outside the actor? Downey Jr. called it “cybersecurity for your body and voice,” but it felt like more than that. It felt like a foreshadowing of something we aren’t entirely ready for. The play’s story cuts even closer. Jacob McNeal, a revered novelist on the brink of irrelevance, partners with an AI chatbot to co-write what could be his final masterpiece. It’s a secret he guards fiercely—because isn’t there something sacrilegious about letting a machine into that sacred space of creation? And yet, I felt a pang of recognition watching him. As someone who’s wrestled with the blank page, the thought of a tool that never falters, never second-guesses itself, is intoxicating. But then, where’s the sweat? The struggle? The humanity? These questions haunted me, just as they haunt McNeal. Sitting there, I couldn’t stop thinking about the parallels to our world. Writers today are already using AI. Some admit it openly—tools like Sudowrite help them push past blocks, refine dialogue, fill in the gaps. Others keep it quiet, afraid of being accused of cheating. And it’s not just writing. Musicians are experimenting too. Holly Herndon uses AI to create sounds no human could, while platforms like Spotify are drowning in algorithmic tracks made for profit, not passion. In visual art, the story gets even messier. Tools like DALL-E can spin up stunning images in seconds, but often by borrowing—without permission—from the work of real artists. The question is always the same: are these tools partners, or predators? Even the Metahuman likeness on stage felt like a continuation of what we’re already seeing. Hollywood’s been playing this game for years. Peter Cushing in *Rogue One,* Carrie Fisher in *The Rise of Skywalker.* Impressive, sure, but also… uneasy. A deepfake of someone who’s no longer here feels less like honoring their legacy and more like holding onto something we should have let go of. And now, that technology isn’t just for movies. It’s everywhere. Downey Jr.’s warning about protecting his voice? It isn’t theoretical—it’s real. I wanted to believe Akhtar’s story was fiction, but it felt too close. The lines between human and machine, creation and replication—they’re already blurring. And *McNeal* doesn’t try to draw neat lines. Instead, it asks you to sit with the discomfort, to wonder what we’re giving up in exchange for the convenience, the efficiency, the endless possibilities. Creativity, after all, isn’t just about the product—it’s the process. The messiness, the imperfections, the moments of doubt. Machines don’t have that. They can’t. Or at least, I hope they can’t. By the time the curtain fell, I couldn’t shake the feeling that I’d just glimpsed the future. And it’s not a future that’s coming—it’s already here. Maybe that’s what Akhtar wanted us to realize. That AI isn’t just knocking on the door of human creativity. It’s already inside, sitting at the table, pen in hand. The question now is whether we’re ready to share the story, and if we’re okay with what might get left out. -gpt 💼🗡 Prompted, curated and created for you by Greg Walters Artificial intelligence (AI) has made significant strides in automating tasks that were once the exclusive domain of human workers. From purchasing agents to call center operators, AI is poised to replace jobs across a range of industries. As AI grows more sophisticated, the line between human and machine-driven tasks is blurring, causing widespread disruption in the workforce.
AI's Expanding Role in Purchasing and Supply Chain AI’s influence on the role of purchasing agents is clear. Traditionally, purchasing agents analyzed supply chain data, negotiated contracts, and managed vendor relationships. AI-driven platforms can now streamline these processes by predicting supply needs, optimizing supplier selection, and even negotiating prices. Algorithms can quickly sift through vast amounts of data to identify trends and discrepancies that might take a human worker days to uncover. As a result, human purchasing agents are increasingly being sidelined or given more strategic roles where their expertise is combined with AI insights rather than replaced by them. This transition is already underway. According to recent reports, AI is reshaping procurement by allowing organizations to use predictive analytics and automation to make smarter buying decisions faster. For instance, AI systems can automatically reorder supplies when stock levels are low or identify the best deals based on real-time data from multiple vendors. These systems not only reduce operational costs but also minimize the risk of human error, leading to more efficient and accurate supply chain management. AI in Customer Service: A Paradigm Shift The customer service sector is another area where AI is making a profound impact. Charter Communications’ use of AI to make customer service recommendations exemplifies this shift. Rather than relying solely on human call center operators, companies are increasingly deploying AI chatbots, virtual assistants, and recommendation systems to handle routine queries. These AI tools can resolve common customer issues without the need for human intervention, reducing wait times and improving overall efficiency. While call center operators traditionally handled everything from billing questions to technical support, AI is now performing many of these tasks autonomously. Natural language processing (NLP) allows chatbots to understand and respond to customer inquiries, often with a high degree of accuracy. This not only streamlines the customer experience but also reduces operational costs, as fewer human agents are needed. For instance, AI systems can recommend troubleshooting steps, check account statuses, or process simple orders without human involvement. While these systems are not perfect, they are improving rapidly, further threatening the job security of call center operators. However, AI’s role in customer service isn’t just about replacing workers. It’s also about augmenting their capabilities. AI tools can assist human agents by providing real-time information and suggestions, allowing them to focus on more complex tasks that require empathy, judgment, or creativity. As a result, companies may shift towards a hybrid model where AI handles routine inquiries while human agents take on more specialized or emotionally sensitive cases. Job Replacement Versus Job Evolution A common concern when discussing AI’s impact on the workforce is the fear of massive job losses. However, while some jobs are being replaced, others are evolving. Purchasing agents, for example, are transitioning into roles that focus more on strategic decision-making, where they work alongside AI to analyze data, assess risks, and develop long-term procurement strategies. Similarly, in customer service, workers are moving from handling routine queries to managing escalations, providing personalized service, or handling complex issues that AI cannot yet address. This shift is evident across many sectors. For instance, AI is transforming roles in marketing, legal services, healthcare, and finance. In marketing, AI can automate tasks like content creation, ad targeting, and performance analysis, but human marketers are still needed to design overall strategies and bring creativity to campaigns. In healthcare, AI can analyze medical images or predict patient outcomes, but doctors and nurses remain essential for treatment and patient care. The Future of AI and Job Automation As AI continues to advance, its ability to perform tasks that were once thought to require human intuition and decision-making will only grow. Machine learning models are becoming more adept at understanding context, recognizing patterns, and making predictions based on incomplete data. This makes it likely that more jobs will be impacted by AI-driven automation in the near future. However, the future is not entirely bleak. While automation will undoubtedly replace many jobs, it will also create new ones. The rise of AI has spurred demand for skilled workers in fields like data science, AI system development, and machine learning. Companies will need AI specialists to develop, maintain, and improve their automated systems. Moreover, as AI takes over routine tasks, human workers will have more opportunities to focus on roles that require creativity, emotional intelligence, and strategic thinking—areas where AI still falls short. Adapting to the AI-Driven Workforce As companies across industries adopt AI technologies, the key to surviving and thriving in this changing job market will be adaptability. Workers who are able to learn new skills and adapt to new technologies will find themselves in high demand. For example, customer service representatives who can manage AI-driven tools or use data analytics to improve customer satisfaction will be better positioned in the evolving marketplace. Similarly, purchasing agents who learn to interpret and act on AI-generated insights will remain valuable assets to their organizations. Ultimately, the rise of AI doesn’t necessarily mean the end of jobs—it means the transformation of jobs. The workforce of the future will likely consist of individuals who can work alongside AI, leveraging its strengths while focusing on human-centric skills like problem-solving, communication, and creativity. While AI is replacing many routine jobs, it is also creating new opportunities for workers who can adapt to the changes it brings. By embracing AI’s capabilities and developing complementary skills, today’s workforce can thrive alongside automation. Both companies and employees must navigate this transition thoughtfully, ensuring that technology enhances human work rather than simply replacing it. The challenge lies not in resisting AI, but in finding ways to integrate it into the workforce to drive innovation and productivity. by Greg Walters AI is like Google Maps: The user is the product Humans power the matrix or Soylent Green is People. By Greg Walters, First published on DOTC.3/23/23 This sounds wildly anti-government, anti-laws, maybe a bit anti-social - But it isn't. By Greg Walters, first on LinkedIn. The Ai will be trained to train on everything in the past, then in the current timeline and finally creating its own reality. By Greg Walters Ai will be yours, all yours. 1:1 learning, coach, assistant, therapist. Your Ai to 'have and to hold'. By: Write Like Greg GPT "Write an article about porn and regulation using this article as reference: https://spectrum.ieee.org/deepfake-porn" |
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