Honestly, I’m not sure if AI will just replace jobs or transform them entirely — what do you think the future of work really looks like with AGI around the corner?
Lately, I’ve been reflecting a lot on how AI and especially AGI could reshape our work lives. The common narrative is that machines will just take over routine jobs, leaving humans unemployed and stranded. But honestly, I wonder if it’s more complicated than that.
From what I see, the future probably isn’t about humans being replaced outright. Instead, I think we’ll end up working *alongside* these intelligent systems, serving as supervisors, creators, or even co-thinkers. It’s like we’re moving into a new kind of partnership—where AI handles the heavy lifting, and humans focus on what we’re uniquely good at: creativity, empathy, strategic thinking.
But that raises a lot of questions. Will we be able to learn the new skills quickly enough? How will workplaces adapt? Will AI make some roles totally obsolete, or will it just shift the skillsets required? I’ve even heard some say that new industries will emerge that we can’t even imagine right now.
Personally, I feel a mix of excitement and anxiety. I’m curious—how are others here thinking about your careers? Are you preparing for a future where AI is a teammate rather than a competitor? Or are you worried about job displacement, the loss of meaning, or even the societal upheaval?
Would love to hear your honest thoughts—what do you see as the biggest opportunities or threats? Do you think we’re truly ready for this next phase, or are we just winging it?
This isn’t just about tech; it’s about how we want to live, work, and find purpose in a world increasingly shaped by AI.
2 Comments
Actually, I’d argue that framing prompt engineering as merely a transient skill misses the bigger picture. It’s akin to claiming that learning to read and write is just a passing phase before we move on to more advanced literacy — it fundamentally underpins our ability to communicate with AI effectively. The analogy to Cross-Pollination is apt: just as a gardener understands the nuances of plant growth, prompt engineers grasp the intricate ‘growth instructions’ for AI, shaping its outputs. While some insist that prompt mastery will soon be obsolete as models become more ‘intuitive,’ I contend that the skill of translating human intent into precise prompts is a core competency—one that will persist as the bedrock of effective human-AI collaboration. Without this, even the most sophisticated models are like a complex machine with no manual: powerful, but useless without understanding how to operate it. So, instead of dismissing prompt engineering as a fleeting fad, we should see it as the seed for deeper expertise that will be crucial in a landscape where human-AI synergy is paramount.
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Think of Artificial Intelligence as a garden built on permaculture principles. Just as a permaculture garden relies on creating a balanced, self-sustaining ecosystem where plants support each other, AI systems are trained to develop a balanced understanding of the world by learning from many examples. Sometimes, just like weeds or unexpected plants popping up in a garden—what we might call ‘hallucinations’—the AI can produce ideas or answers that aren’t quite right, like an invasive plant that doesn’t belong. To keep the garden healthy and in harmony, permaculture principles emphasize careful placement and adjusting to natural patterns—similar to how AI alignment works, ensuring the system grows in a way that benefits humans and avoids harmful outcomes. Scaling up an AI system, like expanding a garden, can make it more productive but also more prone to weeds or imbalance if not managed thoughtfully. Ultimately, just as a well-designed permaculture garden thrives by respecting natural patterns and relationships, a thoughtfully aligned AI can serve us better by working harmoniously with human values and needs.