Augment AI

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Let's face it: The AI critics lost. In 2020, I wrote a viral article titled "Will the latest AI kill coding?" predicting that "programming jobs won't be safe in the future." Dozens of commenters came to disagree with me, with someone even going so far as to record a video "explaining why GPT-3 will not take developer jobs." Now, the tech jobs market is totally cooked, to the point that even 4.0 GPA Berkeley computer science graduates can't find jobs. Anecdotally speaking, I know some of the brightest people coming out of coding boot camps with the same results as these elite university grads (which is to say, no results). But this article isn't about AI taking our jobs: It's about whether you should use AI to code your product, or if you should use no-code (remember that? almost seems like a bygone fad now...), or if you should still hire someone. And the answer may surprise you, especially given my earlier prediction. The truth is, while AI has disrupted the job market and changed the landscape of software development, it hasn't entirely replaced human developers (nor will it). Instead, it's become an incredibly powerful tool that, in the hands of skilled programmers, can elevate their capabilities to superhuman levels. It's not about AI vs. humans anymore; it's about humans with AI vs. humans without it. I recently had an eye-opening experience at a Web3 conference. I got to try out a lot of new web3 and DeFi tools, and I was curious how these tools were built, so I asked around. None of them was built via no-code or solely by AI. Not one. One team hired an AI-empowered developer who used V0 + Cursor AI, while another used a development agency, Solicy. It became clear that these top developers weren't threatened by AI – they were embracing it. This conversation was a lightbulb moment for me. There's a crucial difference between the average developer and these cracked 10x devs – those exceptional programmers who seem to produce work at superhuman speeds. They're not just good coders; they're masters at using AI. The Rise of the AI-Augmented Developer So I called it. Back in 2020, I said programming jobs were on thin ice, and now look where we are. The tech job market is in shambles. But AI isn't wiping out coding jobs wholesale. It's changing the game entirely. The question isn't whether AI will code your product anymore. It's about how developers are using AI to stay relevant and actually get shit done. The best developers now are the ones who've adapted and who see AI as a powerful tool rather than a threat. They're using it to handle the grunt work, catch errors, and generate initial code structures. But the key is they're still the ones driving the ship. They're applying their creativity and problem-solving skills on top of what AI provides. This creates a pretty stark divide in the dev world. On one side, you've got those embracing AI and using it to work at superhuman speeds. On the other, those still trying to compete without it. And let me tell you, that gap is widening fast. So, what does this mean for you if you're looking to build something? It means you need to be smart about who you work with. The future isn't in pure AI coding or in stubbornly sticking to old methods. It's in finding developers who know how to wield AI effectively, who can take its output and shape it into something truly innovative and functional. The AI coding revolution isn't some far-off concept anymore. It's here, it's real, and it's separating the adaptable from the obsolete. The question isn't whether AI will take over coding. It's whether you're going to get on board with the developers who are riding this wave or get left behind wondering what the hell happened. The Future is Here, But It's Not Evenly Distributed I'm reminded of William Gibson's famous quote: "The future is already here – it's just not evenly distributed." The reality is, while some developers and companies are riding the wave of this AI revolution, others are still paddling in the shallows, unsure of how to harness this powerful new tool. The gap between those who embrace AI and those who don't is widening rapidly. Companies like Solicy, who have fully integrated AI into their development processes, are able to deliver complex, high-quality software solutions at a pace that would have been unthinkable just a few years ago. They're not just surviving in this new landscape; they're thriving, pushing the boundaries of what's possible in software development. But here's the thing – this isn't a story of AI replacing humans. It's a story of humans evolving, adapting, and finding new ways to excel. The developers I met weren't threatened by AI; they were excited by it. They saw it as a tool that allowed them to focus on the aspects of their work that they truly loved – solving complex problems, creating elegant solutions, and pushing the boundaries of technology. As we stand on the brink of this new era, the question isn't whether AI will take our jobs. The question is: How will we rise to meet the challenge and opportunity that AI presents? Will we cling to old ways of working, or will we embrace this new tool and use it to augment our own capabilities? The future belongs to those who can see AI not as a threat but as a partner in creation. It belongs to the developers who can harness the power of machine learning and combine it with human creativity and insight. It belongs to companies like Solicy, who are showing us what's possible when we stop fearing AI and start collaborating with it. So, to answer the question I posed at the beginning of this article – should you use AI to code your product or stick with traditional development methods? The answer is neither. The real path forward is to find developers who understand how to leverage AI as a tool and can use it to augment their own skills and create solutions that are greater than the sum of their parts. The AI revolution isn't coming – it's already here. And it's not killing coding jobs; it's transforming them, elevating them, and opening up new possibilities that we're only beginning to explore. The future of software development is bright, exciting, and full of potential. All we need to do is embrace it. Let's face it: The AI critics lost. In 2020, I wrote a viral article titled "Will the latest AI kill coding?" predicting that "programming jobs won't be safe in the future." Dozens of commenters came to disagree with me, with someone even going so far as to record a video "explaining why GPT-3 will not take developer jobs." Now, the tech jobs market is totally cooked , to the point that even 4.0 GPA Berkeley computer science graduates can't find jobs. Anecdotally speaking, I know some of the brightest people coming out of coding boot camps with the same results as these elite university grads (which is to say, no results). "Will the latest AI kill coding?" totally cooked But this article isn't about AI taking our jobs: It's about whether you should use AI to code your product, or if you should use no-code (remember that? almost seems like a bygone fad now...), or if you should still hire someone. And the answer may surprise you, especially given my earlier prediction. The truth is, while AI has disrupted the job market and changed the landscape of software development, it hasn't entirely replaced human developers (nor will it). Instead, it's become an incredibly powerful tool that, in the hands of skilled programmers, can elevate their capabilities to superhuman levels. It's not about AI vs. humans anymore; it's about humans with AI vs. humans without it. I recently had an eye-opening experience at a Web3 conference. I got to try out a lot of new web3 and DeFi tools, and I was curious how these tools were built, so I asked around. None of them was built via no-code or solely by AI. Not one. One team hired an AI-empowered developer who used V0 + Cursor AI, while another used a development agency, Solicy . Solicy It became clear that these top developers weren't threatened by AI – they were embracing it. This conversation was a lightbulb moment for me. There's a crucial difference between the average developer and these cracked 10x devs – those exceptional programmers who seem to produce work at superhuman speeds. They're not just good coders; they're masters at using AI. The Rise of the AI-Augmented Developer So I called it. Back in 2020, I said programming jobs were on thin ice, and now look where we are. The tech job market is in shambles. But AI isn't wiping out coding jobs wholesale. It's changing the game entirely. The question isn't whether AI will code your product anymore. It's about how developers are using AI to stay relevant and actually get shit done. The best developers now are the ones who've adapted and who see AI as a powerful tool rather than a threat. They're using it to handle the grunt work, catch errors, and generate initial code structures. But the key is they're still the ones driving the ship. They're applying their creativity and problem-solving skills on top of what AI provides. This creates a pretty stark divide in the dev world. On one side, you've got those embracing AI and using it to work at superhuman speeds. On the other, those still trying to compete without it. And let me tell you, that gap is widening fast. So, what does this mean for you if you're looking to build something? It means you need to be smart about who you work with. The future isn't in pure AI coding or in stubbornly sticking to old methods. It's in finding developers who know how to wield AI effectively, who can take its output and shape it into something truly innovative and functional. The AI coding revolution isn't some far-off concept anymore. It's here, it's real, and it's separating the adaptable from the obsolete. The question isn't whether AI will take over coding. It's whether you're going to get on board with the developers who are riding this wave or get left behind wondering what the hell happened. The Future is Here, But It's Not Evenly Distributed The Future is Here, But It's Not Evenly Distributed I'm reminded of William Gibson's famous quote: "The future is already here – it's just not evenly distributed." The reality is, while some developers and companies are riding the wave of this AI revolution, others are still paddling in the shallows, unsure of how to harness this powerful new tool. The gap between those who embrace AI and those who don't is widening rapidly. Companies like Solicy, who have fully integrated AI into their development processes, are able to deliver complex, high-quality software solutions at a pace that would have been unthinkable just a few years ago. They're not just surviving in this new landscape; they're thriving, pushing the boundaries of what's possible in software development. But here's the thing – this isn't a story of AI replacing humans. It's a story of humans evolving, adapting, and finding new ways to excel. The developers I met weren't threatened by AI; they were excited by it. They saw it as a tool that allowed them to focus on the aspects of their work that they truly loved – solving complex problems, creating elegant solutions, and pushing the boundaries of technology. As we stand on the brink of this new era, the question isn't whether AI will take our jobs. The question is: How will we rise to meet the challenge and opportunity that AI presents? Will we cling to old ways of working, or will we embrace this new tool and use it to augment our own capabilities? The future belongs to those who can see AI not as a threat but as a partner in creation. It belongs to the developers who can harness the power of machine learning and combine it with human creativity and insight. It belongs to companies like Solicy, who are showing us what's possible when we stop fearing AI and start collaborating with it. So, to answer the question I posed at the beginning of this article – should you use AI to code your product or stick with traditional development methods? The answer is neither. The real path forward is to find developers who understand how to leverage AI as a tool and can use it to augment their own skills and create solutions that are greater than the sum of their parts. The AI revolution isn't coming – it's already here. And it's not killing coding jobs; it's transforming them, elevating them, and opening up new possibilities that we're only beginning to explore. The future of software development is bright, exciting, and full of potential. All we need to do is embrace it.

AI, No-Code, or Hiring a Dev? Here's How to Build Software in 2025

In recent years, there’s been a lot of hype about artificial intelligence (AI) revolutionizing industries and making certain jobs obsolete. One of the most frequent predictions is that AI will take over call centers, automating customer service entirely and leaving human agents behind. But this narrative is far too simplistic. In fact, next time you hear someone say AI will replace call center workers, it might be time to run—because the reality is much more complicated, and in many cases, AI is far from ready to take over. Yes, AI is making strides in areas like chatbots, virtual assistants, and automated customer support systems. However, this technology still has major limitations, especially when it comes to the human aspects of customer service. And recent examples have shown that even the most advanced AI systems still require human oversight. The Human Touch Still Matters Customer service is fundamentally about human interaction. People need to feel heard, understood, and supported—especially when dealing with frustrating or sensitive issues. AI may be able to process large amounts of data, but it lacks the empathy and emotional intelligence that humans bring to customer service. For many customers, the ability to communicate with a real person who understands their situation is non-negotiable. Recent examples highlight just how crucial human intervention still is in AI-driven systems. For instance, Amazon Fresh promoted its AI-driven shopping experience as cutting-edge, but it turned out that much of the work was actually being done by humans. Specifically, an Indian business process outsourcing (BPO) team was watching customers via CCTV and stepping in when the AI couldn’t handle certain tasks. Far from replacing human workers, AI actually required their presence behind the scenes. AI Struggles with Complexity While AI systems can handle routine inquiries and straightforward tasks, they often fall short when problems become complex or unexpected. Human agents, on the other hand, excel in creative problem-solving and thinking outside the box, something that AI simply isn’t capable of doing. One recent blunder involved a GM chatbot that was fooled by a customer into offering a Chevrolet Tahoe for $1. The AI-powered chatbot was tricked into providing an outrageous discount—a glaring reminder that AI systems can be easily manipulated and are often incapable of detecting subtle deception. In scenarios like these, human agents are essential for catching errors and ensuring that transactions run smoothly. AI, as this incident proves, is still vulnerable to making costly mistakes. Cultural and Contextual Understanding Is Critical Customer service also requires an understanding of cultural nuances and local contexts, which AI struggles to interpret. Human agents, with their real-world experience, are far better equipped to handle culturally sensitive interactions. This is particularly important for global customer support, where understanding local customs and context is key to effective communication. We’ve also seen how AI falls short in language understanding. Del Taco, for example, introduced an AI-powered drive-through system that was supposed to streamline ordering. But it turned out that the AI wasn’t handling everything—human agents from a call center in the Philippines were managing the orders behind the scenes. Once again, the “AI solution” was actually relying heavily on human support. The Limits of AI in Language and Context AI may have made strides in natural language processing, but it’s still far from perfect. Accents, slang, and dialects often trip up AI systems, whereas human agents can adapt and respond flexibly. This limitation is particularly noticeable in regions with diverse languages and speaking styles, where human understanding and adaptability become essential. The Future Is Hybrid, Not Automated Instead of viewing AI as a replacement for human workers, we should be thinking about how AI can augment their capabilities. The most effective customer service systems will likely be hybrid models, where AI handles routine tasks, and humans step in for more complex or sensitive issues. This allows human agents to focus on higher-value interactions while letting AI handle the low-hanging fruit. Far from eliminating jobs, this hybrid model actually creates new opportunities for human workers. Customers Still Prefer Humans Despite all the advancements in AI, customer preferences tell a different story. Most people still want to speak to a real person when handling complex issues, like billing disputes or technical problems. AI simply can’t provide the emotional reassurance that a human agent can offer, and as long as that preference exists, call center workers will continue to be in demand. Ethical and Security Concerns Another key concern is trust. Many customers are reluctant to share sensitive information with an AI system, especially when it involves financial data or personal details. Humans, by contrast, can be held accountable for their actions, which provides an additional layer of security and comfort for customers. AI systems, on the other hand, can be prone to errors or manipulation, as demonstrated by the GM chatbot that was tricked into offering a car for a dollar. Call Center Jobs Are Changing, Not Disappearing The rise of AI doesn’t mean the end of call center jobs—it means those jobs are evolving. Rather than eliminating human agents, AI will likely change their roles, moving them toward more supervisory or quality assurance positions. Human agents will still be essential in overseeing AI systems, stepping in when needed, and providing the kind of nuanced, culturally aware, and emotionally intelligent service that AI can’t match. So, the next time someone tells you AI will replace call center workers, consider the examples of Amazon Fresh, Del Taco, and the GM chatbot incident. These cases make it clear that human workers are still the backbone of customer service, even when AI is involved. In the end, the future of customer service isn’t about replacing humans with machines—it’s about blending AI with human intelligence to provide the best possible experience for customers. AI may be good at handling basic queries, but when it comes to complex problems, cultural understanding, and emotional support, human agents are irreplaceable. Customer service is, and always will be, a people business. About Me: 25+ year IT veteran combining data, AI, risk management, strategy, and education. 4x hackathon winner and social impact from data advocate. Currently working to jumpstart the AI workforce in the Philippines. Learn more about me here: https://docligot.com In recent years, there’s been a lot of hype about artificial intelligence (AI) revolutionizing industries and making certain jobs obsolete. One of the most frequent predictions is that AI will take over call centers, automating customer service entirely and leaving human agents behind. But this narrative is far too simplistic. In fact, next time you hear someone say AI will replace call center workers, it might be time to run—because the reality is much more complicated, and in many cases, AI is far from ready to take over. Yes, AI is making strides in areas like chatbots, virtual assistants, and automated customer support systems. However, this technology still has major limitations, especially when it comes to the human aspects of customer service. And recent examples have shown that even the most advanced AI systems still require human oversight. The Human Touch Still Matters The Human Touch Still Matters Customer service is fundamentally about human interaction. People need to feel heard, understood, and supported—especially when dealing with frustrating or sensitive issues. AI may be able to process large amounts of data, but it lacks the empathy and emotional intelligence that humans bring to customer service. For many customers, the ability to communicate with a real person who understands their situation is non-negotiable. Recent examples highlight just how crucial human intervention still is in AI-driven systems. For instance, Amazon Fresh promoted its AI-driven shopping experience as cutting-edge, but it turned out that much of the work was actually being done by humans . Specifically, an Indian business process outsourcing (BPO) team was watching customers via CCTV and stepping in when the AI couldn’t handle certain tasks. Far from replacing human workers, AI actually required their presence behind the scenes. much of the work was actually being done by humans AI Struggles with Complexity AI Struggles with Complexity While AI systems can handle routine inquiries and straightforward tasks, they often fall short when problems become complex or unexpected. Human agents, on the other hand, excel in creative problem-solving and thinking outside the box, something that AI simply isn’t capable of doing. One recent blunder involved a GM chatbot that was fooled by a customer into offering a Chevrolet Tahoe for $1. The AI-powered chatbot was tricked into providing an outrageous discount—a glaring reminder that AI systems can be easily manipulated and are often incapable of detecting subtle deception. In scenarios like these, human agents are essential for catching errors and ensuring that transactions run smoothly. AI, as this incident proves, is still vulnerable to making costly mistakes. was fooled by a customer Cultural and Contextual Understanding Is Critical Cultural and Contextual Understanding Is Critical Customer service also requires an understanding of cultural nuances and local contexts, which AI struggles to interpret. Human agents, with their real-world experience, are far better equipped to handle culturally sensitive interactions. This is particularly important for global customer support, where understanding local customs and context is key to effective communication. We’ve also seen how AI falls short in language understanding. Del Taco, for example, introduced an AI-powered drive-through system that was supposed to streamline ordering. But it turned out that the AI wasn’t handling everything—human agents from a call center in the Philippines were managing the orders behind the scenes. Once again, the “AI solution” was actually relying heavily on human support. AI-powered drive-through system The Limits of AI in Language and Context The Limits of AI in Language and Context AI may have made strides in natural language processing, but it’s still far from perfect. Accents, slang, and dialects often trip up AI systems, whereas human agents can adapt and respond flexibly. This limitation is particularly noticeable in regions with diverse languages and speaking styles, where human understanding and adaptability become essential. The Future Is Hybrid, Not Automated The Future Is Hybrid, Not Automated Instead of viewing AI as a replacement for human workers, we should be thinking about how AI can augment their capabilities. The most effective customer service systems will likely be hybrid models, where AI handles routine tasks, and humans step in for more complex or sensitive issues. This allows human agents to focus on higher-value interactions while letting AI handle the low-hanging fruit. Far from eliminating jobs, this hybrid model actually creates new opportunities for human workers. Customers Still Prefer Humans Customers Still Prefer Humans Despite all the advancements in AI, customer preferences tell a different story. Most people still want to speak to a real person when handling complex issues, like billing disputes or technical problems. AI simply can’t provide the emotional reassurance that a human agent can offer, and as long as that preference exists, call center workers will continue to be in demand. Ethical and Security Concerns Ethical and Security Concerns Another key concern is trust. Many customers are reluctant to share sensitive information with an AI system, especially when it involves financial data or personal details. Humans, by contrast, can be held accountable for their actions, which provides an additional layer of security and comfort for customers. AI systems, on the other hand, can be prone to errors or manipulation, as demonstrated by the GM chatbot that was tricked into offering a car for a dollar. Call Center Jobs Are Changing, Not Disappearing Call Center Jobs Are Changing, Not Disappearing The rise of AI doesn’t mean the end of call center jobs—it means those jobs are evolving. Rather than eliminating human agents, AI will likely change their roles, moving them toward more supervisory or quality assurance positions. Human agents will still be essential in overseeing AI systems, stepping in when needed, and providing the kind of nuanced, culturally aware, and emotionally intelligent service that AI can’t match. So, the next time someone tells you AI will replace call center workers, consider the examples of Amazon Fresh, Del Taco, and the GM chatbot incident. These cases make it clear that human workers are still the backbone of customer service, even when AI is involved. In the end, the future of customer service isn’t about replacing humans with machines—it’s about blending AI with human intelligence to provide the best possible experience for customers. AI may be good at handling basic queries, but when it comes to complex problems, cultural understanding, and emotional support, human agents are irreplaceable. Customer service is, and always will be, a people business. About Me: 25+ year IT veteran combining data, AI, risk management, strategy, and education. 4x hackathon winner and social impact from data advocate. Currently working to jumpstart the AI workforce in the Philippines. Learn more about me here: https://docligot.com About Me: 25+ year IT veteran combining data, AI, risk management, strategy, and education. 4x hackathon winner and social impact from data advocate. Currently working to jumpstart the AI workforce in the Philippines. Learn more about me here: https://docligot.com

Next Time You Hear Someone Say AI Will Replace Call Center Agents, Run

There is productivity. Then there is AI-powered productivity. I like to call these the “10X Makers”.  While that may be an overused phrase, bear with me. A 10X Maker is the perfect marriage between those who naturally innovate and the AI tools on offer that allow them to create groundbreaking solutions at an unprecedented pace. These individuals - strapped to the rocketship of AI - are the ones who will reshape industries and drive global transformation. You probably already have these in your team. They have visionary thinking, adaptability, and a strong bias for action. They are rarely satisfied with small improvements. Instead, they aim for huge leaps forward. With AI tools at their disposal, they can accelerate every phase of the innovation process from ideation to launch. The game changer is this - AI innovation is becoming more accessible. No-code and low-code AI platforms are democratizing the field, allowing team members with great ideas to become AI innovators, regardless of their technical backgrounds. There are plenty of examples. The AI-powered chatbots are providing constant mental health support. There are AI systems that detect strokes faster than human doctors. It goes beyond technological showcases, and instead transforms entire sectors and improves lives. Sustaining innovation in your team To keep this innovation momentum going, you need to reconsider your approach to team development. It's not just about hiring coders; you need to encourage critical thinking, creativity, and a strong understanding of AI ethics within your team. Look towards educational institutions and partner with them to source the best talent. Use online platforms to find the innovators that aren’t on your radar but are already innovating. But that's just the start. Build a supportive ecosystem within your organization. This might include internal incubators for AI projects, allocating resources for AI ventures, and establishing mentorship programs that understand the specific challenges of AI innovation. Your goal should be to create an environment where AI talent can thrive and drive your company forward. And, please don't just throw money at the problem. Too often I see money being pumped into technology rather than talent. It’s not sustainable. Just look at the recent sell-off in the stock market, fuelled by the mounting skepticism over how much “big tech” can benefit from its vast spending on AI. The benefit comes via the talent that can leverage the tech. Not just the tech itself. Create a culture that embraces risk-taking and isn't afraid of failure. For every AI breakthrough, there might be a dozen that fall short. But that's how innovation works. Build resilience into your support systems, ensuring that you can bounce back from setbacks and keep pushing the boundaries. The future of innovation in your organization Make no mistake, the 10X Makers in your team are going to keep pushing the envelope of what's possible with AI. The best of the best won't just optimize existing processes; they'll create entirely new ones. There is, of course, a catch. With great power comes great responsibility. As your innovators push boundaries, ensure they're not leaving ethics behind. Issues like bias, privacy, and transparency need to be baked into your AI innovation process. It's not just about creating incredible tech - it's about ensuring that tech doesn't backfire on your company. It's up to you to create the right environment for them to thrive. If you are a CTO or a dev lead, it's time for some honest reflection. This isn't a call to blindly jump on the AI bandwagon. Instead, it’s a nudge to think about how AI can enhance your team's capabilities and drive innovation. Are you creating an environment where AI can be leveraged responsibly? Are you balancing the excitement of new AI tools with the ethics, privacy, and long-term impact? It should be less about that quick win, and rather about strategic integration and continuous learning. Consider how you can gradually introduce AI tools to augment your developers' skills, not replace them. Think about the training and support your team might need to become comfortable with AI-assisted development. And, most importantly, keep the dialogue open about the challenges and opportunities AI presents. There is productivity. Then there is AI-powered productivity. I like to call these the “10X Makers”.  While that may be an overused phrase, bear with me. A 10X Maker is the perfect marriage between those who naturally innovate and the AI tools on offer that allow them to create groundbreaking solutions at an unprecedented pace. These individuals - strapped to the rocketship of AI - are the ones who will reshape industries and drive global transformation. You probably already have these in your team. They have visionary thinking, adaptability, and a strong bias for action. They are rarely satisfied with small improvements. Instead, they aim for huge leaps forward. With AI tools at their disposal, they can accelerate every phase of the innovation process from ideation to launch. The game changer is this - AI innovation is becoming more accessible. No-code and low-code AI platforms are democratizing the field, allowing team members with great ideas to become AI innovators, regardless of their technical backgrounds. There are plenty of examples. The AI-powered chatbots are providing constant mental health support. There are AI systems that detect strokes faster than human doctors. It goes beyond technological showcases, and instead transforms entire sectors and improves lives. Sustaining innovation in your team Sustaining innovation in your team To keep this innovation momentum going, you need to reconsider your approach to team development. It's not just about hiring coders; you need to encourage critical thinking, creativity, and a strong understanding of AI ethics within your team. ethics Look towards educational institutions and partner with them to source the best talent. Use online platforms to find the innovators that aren’t on your radar but are already innovating. But that's just the start. Build a supportive ecosystem within your organization. This might include internal incubators for AI projects, allocating resources for AI ventures, and establishing mentorship programs that understand the specific challenges of AI innovation. Your goal should be to create an environment where AI talent can thrive and drive your company forward. And, please don't just throw money at the problem. Too often I see money being pumped into technology rather than talent. It’s not sustainable. Just look at the recent sell-off in the stock market, fuelled by the mounting skepticism over how much “big tech” can benefit from its vast spending on AI . The benefit comes via the talent that can leverage the tech. Not just the tech itself. fuelled by the mounting skepticism over how much “big tech” can benefit from its vast spending on AI fuelled by the mounting skepticism over how much “big tech” can benefit from its vast spending on AI Create a culture that embraces risk-taking and isn't afraid of failure. For every AI breakthrough, there might be a dozen that fall short. But that's how innovation works. Build resilience into your support systems, ensuring that you can bounce back from setbacks and keep pushing the boundaries. The future of innovation in your organization The future of innovation in your organization Make no mistake, the 10X Makers in your team are going to keep pushing the envelope of what's possible with AI. The best of the best won't just optimize existing processes; they'll create entirely new ones. There is, of course, a catch. With great power comes great responsibility. As your innovators push boundaries, ensure they're not leaving ethics behind. Issues like bias, privacy, and transparency need to be baked into your AI innovation process. It's not just about creating incredible tech - it's about ensuring that tech doesn't backfire on your company. It's up to you to create the right environment for them to thrive. If you are a CTO or a dev lead, it's time for some honest reflection. This isn't a call to blindly jump on the AI bandwagon. Instead, it’s a nudge to think about how AI can enhance your team's capabilities and drive innovation. Are you creating an environment where AI can be leveraged responsibly? Are you balancing the excitement of new AI tools with the ethics, privacy, and long-term impact? It should be less about that quick win, and rather about strategic integration and continuous learning. Consider how you can gradually introduce AI tools to augment your developers' skills, not replace them. Think about the training and support your team might need to become comfortable with AI-assisted development. And, most importantly, keep the dialogue open about the challenges and opportunities AI presents.

AI Is Creating the Next Generation of Innovators. Here’s How To Find, and Nurture, Your “10X Makers”

Cases of artificial intelligence in business are appearing at an unprecedented rate and show no signs of slowing down any time soon. When harnessed correctly, AI can dramatically enhance communication, internally and externally. New forms enhance productivity and free up time for the in-depth elements of information transmission, like generating content and improving accessibility for individuals with disabilities. The responsible use of AI in business communication demands ethical considerations and a balance between automation efficiency and people-centered approaches. Still, successful human-AI collaboration is already well underway and yielding impressive results. The Cost of Poor Communication Effective communication is the foundation of corporate success. When employees struggle to communicate well — whether with one another or with customers — the company suffers from the resulting misunderstandings and lack of alignment. The financial implications are astounding, with poor communication costing enterprises a whopping $1.2 trillion yearly. Written communication has been particularly problematic, especially in today’s changing socio-political landscape. For instance, 71% of knowledge workers find it challenging to choose the appropriate words to avoid sounding offensive. Many also struggle to strike the right balance between sounding too formal and too casual when communicating with colleagues and clients. Improving Sustainable Business Communication Through AI Adopting AI can address existing challenges in the workplace and enhance how people share information in several ways. Team Interaction and Meeting Tools AI meeting assistants are revolutionizing note-taking, leading to more effective communication among team members. Platforms like Otter.ai, ClickUp, Gong.io, and Fireflies.ai have become mainstays in remote meetings, saving valuable time and effort. These AI-enabled tools offer a wide selection of intuitive features, including the ability to transcribe speeches with over 95% accuracy, highlight key points, and even analyze emotional tones. Automated note-taking also frees up personnel to listen more intently during meetings. The generated notes are easier to disseminate, reducing the chances of misunderstandings since everyone has access to the same information. Personalized Communication Many CRM providers are integrating AI into their platforms to enhance customer communications. AI can analyze massive amounts of customer data, providing valuable insights that drive decision-making, especially about how and when to communicate. These systems’ ability to imitate how humans learn based on knowledge and experiences allows them to tailor interactions to suit each client. Personalized communication is crucial to higher response rates and engagement, as people tend to pay closer attention to messages catering to their specific requirements. Language Translation Digital technologies have facilitated borderless working conditions where people across multiple countries can collaborate on the same project simultaneously. However, while that is great for diversity and inclusion, language barriers remain a significant problem, and communication suffers as a result. AI-powered translators help bridge the divide and make it easier for individuals and organizations to communicate effectively. With high accuracy and near-instant results, these tools will be pivotal in shaping how brands interact with employees and clients worldwide. For example, Meta’s multilingual machine translation AI can translate between any pair of 100 languages directly. This unlocks a broader target audience for firms since customers on the other side of the globe can easily understand marketing messages and related content. Enhanced Chatbot Functionality A recent survey shows that 56% of businesses use AI in customer support functions, especially for enhancing chatbot functionality to serve consumers better. Sophisticated bots can now respond intelligently to user inquiries by leveraging advanced analytics and machine learning capabilities. These systems also make it easier for customers to communicate with them. For instance, AI-powered bots can analyze user-provided voice input or provided text to make sense of the request and formulate smart responses. Unlike rule-based bots, AI chatbots are context-aware and can learn continuously from prior interactions, making them increasingly intelligent with every interaction. Soon, people will likely not know the difference between chatting with a human CSR agent and a machine. Natural Language Processing (NLP) Algorithms NLP saves employees from spending too much time trying to navigate an ever-expanding field of potentially offensive expressions. They can simply ask the AI tool to create and convey the message correctly. This feature also enables businesses to utilize AI tools to generate relevant, targeted content at scale. Marketing teams can personalize pieces to align with specific audience segments and foster stronger relationships. Leverage AI to Enhance Business Communication. As enterprises continue to adopt data-driven processes, AI will hugely impact how they communicate with their personnel and customers. Automation and ML technologies are powerful tools that can augment and complement human communication. Leaders must recognize this game-changer if they intend to maintain their innovative edge. Sources: https://www.grammarly.com/business/learn/state-of-business-communications-2023/ https://blog.huddles.app/can-ai-ensure-accuracy-in-your-meeting-notes/ https://blog.array.com/how-fintechs-are-balancing-innovation-while-adding-value-for-their-customers-and-to-their-bottom-line https://about.fb.com/news/2020/10/first-multilingual-machine-translation-model/ https://rehack.com/ai/artificial-intelligence-business-applications/ https://www.sciencedirect.com/science/article/pii/S1877050923011158 Cases of artificial intelligence in business are appearing at an unprecedented rate and show no signs of slowing down any time soon. When harnessed correctly, AI can dramatically enhance communication, internally and externally. New forms enhance productivity and free up time for the in-depth elements of information transmission, like generating content and improving accessibility for individuals with disabilities. The responsible use of AI in business communication demands ethical considerations and a balance between automation efficiency and people-centered approaches. Still, successful human-AI collaboration is already well underway and yielding impressive results. The Cost of Poor Communication The Cost of Poor Communication Effective communication is the foundation of corporate success. When employees struggle to communicate well — whether with one another or with customers — the company suffers from the resulting misunderstandings and lack of alignment. The financial implications are astounding, with poor communication costing enterprises a whopping $1.2 trillion yearly. a whopping $1.2 trillion a whopping $1.2 trillion Written communication has been particularly problematic, especially in today’s changing socio-political landscape. For instance, 71% of knowledge workers find it challenging to choose the appropriate words to avoid sounding offensive. Many also struggle to strike the right balance between sounding too formal and too casual when communicating with colleagues and clients. Improving Sustainable Business Communication Through AI Improving Sustainable Business Communication Through AI Adopting AI can address existing challenges in the workplace and enhance how people share information in several ways. Team Interaction and Meeting Tools Team Interaction and Meeting Tools AI meeting assistants are revolutionizing note-taking, leading to more effective communication among team members. Platforms like Otter.ai, ClickUp, Gong.io, and Fireflies.ai have become mainstays in remote meetings, saving valuable time and effort. These AI-enabled tools offer a wide selection of intuitive features, including the ability to transcribe speeches with over 95% accuracy , highlight key points, and even analyze emotional tones. with over 95% accuracy with over 95% accuracy Automated note-taking also frees up personnel to listen more intently during meetings. The generated notes are easier to disseminate, reducing the chances of misunderstandings since everyone has access to the same information. Personalized Communication Personalized Communication Many CRM providers are integrating AI into their platforms to enhance customer communications. AI can analyze massive amounts of customer data, providing valuable insights that drive decision-making, especially about how and when to communicate. These systems’ ability to imitate how humans learn based on knowledge and experiences allows them to tailor interactions to suit each client. Personalized communication is crucial to higher response rates and engagement, as people tend to pay closer attention to messages catering to their specific requirements. to tailor interactions to suit to tailor interactions to suit Language Translation Language Translation Digital technologies have facilitated borderless working conditions where people across multiple countries can collaborate on the same project simultaneously. However, while that is great for diversity and inclusion, language barriers remain a significant problem, and communication suffers as a result. AI-powered translators help bridge the divide and make it easier for individuals and organizations to communicate effectively. With high accuracy and near-instant results, these tools will be pivotal in shaping how brands interact with employees and clients worldwide. For example, Meta’s multilingual machine translation AI can translate between any pair of 100 languages directly. This unlocks a broader target audience for firms since customers on the other side of the globe can easily understand marketing messages and related content. any pair of 100 languages any pair of 100 languages Enhanced Chatbot Functionality Enhanced Chatbot Functionality A recent survey shows that 56% of businesses use AI in customer support functions, especially for enhancing chatbot functionality to serve consumers better. Sophisticated bots can now respond intelligently to user inquiries by leveraging advanced analytics and machine learning capabilities. 56% of businesses use AI 56% of businesses use AI These systems also make it easier for customers to communicate with them. For instance, AI-powered bots can analyze user-provided voice input or provided text to make sense of the request and formulate smart responses. Unlike rule-based bots, AI chatbots are context-aware and can learn continuously from prior interactions, making them increasingly intelligent with every interaction. Soon, people will likely not know the difference between chatting with a human CSR agent and a machine. AI chatbots are context-aware AI chatbots are context-aware Natural Language Processing (NLP) Algorithms Natural Language Processing (NLP) Algorithms NLP saves employees from spending too much time trying to navigate an ever-expanding field of potentially offensive expressions. They can simply ask the AI tool to create and convey the message correctly. This feature also enables businesses to utilize AI tools to generate relevant, targeted content at scale. Marketing teams can personalize pieces to align with specific audience segments and foster stronger relationships. Leverage AI to Enhance Business Communication. Leverage AI to Enhance Business Communication. As enterprises continue to adopt data-driven processes, AI will hugely impact how they communicate with their personnel and customers. Automation and ML technologies are powerful tools that can augment and complement human communication. Leaders must recognize this game-changer if they intend to maintain their innovative edge. Sources: https://www.grammarly.com/business/learn/state-of-business-communications-2023/ https://www.grammarly.com/business/learn/state-of-business-communications-2023/ https://blog.huddles.app/can-ai-ensure-accuracy-in-your-meeting-notes/ https://blog.huddles.app/can-ai-ensure-accuracy-in-your-meeting-notes/ https://blog.array.com/how-fintechs-are-balancing-innovation-while-adding-value-for-their-customers-and-to-their-bottom-line https://blog.array.com/how-fintechs-are-balancing-innovation-while-adding-value-for-their-customers-and-to-their-bottom-line https://about.fb.com/news/2020/10/first-multilingual-machine-translation-model/ https://about.fb.com/news/2020/10/first-multilingual-machine-translation-model/ https://rehack.com/ai/artificial-intelligence-business-applications/ https://rehack.com/ai/artificial-intelligence-business-applications/ https://www.sciencedirect.com/science/article/pii/S1877050923011158 https://www.sciencedirect.com/science/article/pii/S1877050923011158

How Can AI Improve Sustainable Business Communication?

AI has taken over social media. you have a tool that can dig deep into audience insights, predict the next big content hit, craft posts and visuals on its own, spot consumer trends, and decode public sentiment. Picture this: There is no doubt to say that AI is the backbone of every social media platform out there. It doesn't only help in analyzing what content pops up in your feed, but also cleaning up comments for a better browsing experience, and suggesting new content and friends you might enjoy. But, it poses a challenge for marketers, finding that spot where content appeals to both humans and AI algorithms. When it comes to what “The Algorithm" wants, we're left guessing. And, All too often, we switch from cheap tricks to increased engagement without creating any lasting value for our audiences. Interestingly, AI can lead to more genuine marketing on social media. It helps us understand the vast amount of data from social media platforms. This way, we can create content that truly matters to our audience. AI analyzes posts, comments, and interactions to let us provide what people want and address their interests better. Plus, AI saves a lot of time and money by automating and scaling these processes. That's why top social media marketers are using AI to: Automate repetitive tasks, saving time and money. Expand social media strategies across different platforms. Create posts and campaigns based on data that actually works. You can do this too, no matter your budget or company size. The rest of this post shows you how. How AI is Being Used in Social Media So how exactly can you use artificial intelligence to take your social media marketing game to a whole new level? Let's look at some of the best ways to do this. AI-Powered Content Curation One of the most challenging aspects of social media marketing is coming up with fresh content ideas that can drive engagement for your brand. Instead of copying your competitors or throwing a bunch of content ideas at the wall and hoping one sticks, AI analyzes your data and creates targeted messages based on what your audience has liked in the past. This way, you can be sure that the content you share will resonate with your social media audience and get the reaction you want. AI also helps in improving the quality of your content in terms of tone and grammar. Note: AI-enabled tools even analyze your social media data and determine which keywords, images, hashtags, and colors have a stronger impact on your audience based on past results. In addition, AI-powered content curation tools automatically create social media posts using a URL or information you provide that suits your brand voice. These tools also share the posts on different social platforms. Did you know that Elon Musk says xAI will open-source Grok this week? Automation of Social Network Management Your business is likely on more than one social media platform. And, while consistently publishing quality content, keeping up with the latest trends/updates on every platform can be quite a hassle. However, with the help of AI-powered social media management tools, it is easy to grow your influence and connect with your audience. These tools also plan out your social media posts in advance, track all your profiles, and generate appropriate responses for consumers after analyzing their messages. In simple form, AI will not only plan your campaigns. but also fill content gaps and keep your followers engaged with your brand voice. This tool can recycle content you've previously published, such as blog posts or infographics, and turn them into upload-ready social media posts with hashtags and relevant links. Advertising Campaigns on Social Networks How to get ahead of your competitors and get the most out of advertising on social networks? Several companies are using paid advertising on social media. If you aim to stand out and increase your campaign's impact, it's time to start creating better, smarter ads. AI-powered tools like Sprinklr help you create compelling, personalized social media ads and monitor and optimize your campaigns to maximize ROAS. Such tools offer recommendations to help your campaigns perform better. From comparing ad performance to planning out strategies, AI reduces your overall advertising costs. The copywriting AI tool analyzes your brand language and creates social media ad copy that will increase engagement and conversions for your business. Ensure that your social media ad copy matches your landing page to maintain consistency and communicate with users. Personalization Using Chatbots More followers and clients mean more money, but it also means more time spent serving them. Luckily for you, highly effective customer support and personalized audience experiences are some of the benefits that help your brand grow with the help of artificial intelligence. Hiring enough customer service staff to provide 24/7 customer support may not be feasible. Investing in AI-powered chatbots will respond to audience messages immediately, regardless of the time of day. You can even combine chatbots with your existing live chat software to provide your audience with 24/7 customer service support. With the help of machine learning, your AI chatbots will be able to provide relevant answers to various problems, questions, or queries that your audience may have. Such tools allow you to deliver engaging, seamless, and personalized customer experiences using bots across a variety of social media platforms. Competitor Analysis and Social Listening It's not enough to just know who your competitors are. If you want to get an advantage over them, you need to analyze their social media strategies, find out their weaknesses, and determine what they think. The manually searching and analyzing competitor pages can take weeks or months of grueling work., And, if you succeed in your analysis, there is a high probability that it will contain errors. But with the help of AI, you can easily track your competitors and analyze their social media strategies, reach, engagement rates, conversion rates, brand sentiment, and more. Various AI-powered competitive analysis tools monitor your competitors' social marketing efforts, from user interactions to posts and campaigns. It helps in knowing which parts require a more effective marketing strategy to achieve success. Artificial intelligence tools track mentions of your business, as well as specific hashtags and keywords related to you on social media. Analyzing this information will help you determine whether the public opinion of your brand is negative, positive, or neutral. You will be able to identify potential problems before they become more serious. Emerging AI Technologies in Social Media AI is about to take social media on a futuristic ride. We're not just talking about minor upgrades here - AI is changing the way we scroll, post, and consume content online. Different technologies like synthetic media, AI-created content, and virtual influencers are expanding the limits of what we can do online. Let's take a look at what insanely innovative experiences are coming next… Deepfakes You've probably seen those mind-bending "deepfake" videos going viral where celebrities or politicians seem to be saying and doing things they never actually did. Now creators can create stunningly realistic footage that pushes the boundaries of imagination thanks to artificial intelligence. Deepfakes also open up a world of exciting opportunities for creative self-expression and next-level storytelling through synthetic media. As the technology continues evolving, we'll see deepfakes enabling Hollywood-level visual effects that bring our wildest visions to life. Virtual Influencers This one's unquestionably innovative - companies are using AI to generate incredibly human-looking virtual influencers to advertise products on social media. We're talking lifelike computer avatars with their names, personalities, and millions of followers! Now, imagine the creative potential here. Brands can craft highly engaging, endlessly customizable digital personas to connect with audiences in new ways. Virtual influencers offer limitless brand ambassadorship and storytelling opportunities. AI Content CreatorsImagine telling an AI to whip up your next social media caption, graphic, or video ad...and having it generate something cleverly crafted in seconds. Using large language models and other AI tools, brands can augment human creativity. For content creators, this AI assistance will prove to be an amazing productivity multiplier and source of innovative inspiration. While not replacing humans, AI can elevate our creative visions to new heights while saving tons of time. Feed Personalization Of course, the biggest AI impact on social is automated feed curation. It further deeply understands our preferences to serve up a perfectly personalized experience tailored to each user's interests. This allows for a more rewarding, endlessly engaging social media journey of discovery and relevance. While some worry about filtered bubbles, smarter AI will also ensure we're exposed to a balanced variety of perspectives selected just for us. Conclusion There's no doubt to say that AI is completely changing the world of social media as we know it. From automated content creation to hyper-personalized feeds to wildly realistic synthetic media, this technology is rapidly transforming how we connect, share, and experience online. Artificial intelligence (AI) is making it easier for social media platforms to sort through vast amounts of data. It helps them spot the latest trends, understand what users like, block harmful content, and do much more. AI has a promising future in this space because it makes things better for users and helps brands cater to them more effectively. In social media marketing, AI is crucial because it allows companies to track how well they're doing and pinpoint potential customers.

How AI is Shaping the Future of Social Media

- HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “ ” award, featuring the most promising and innovative companies in the Seattle startup ecosystem. Seattle, WA - May 23,2023 Startups of the Year The list, compiled by the HackerNoon team, showcases that are making significant contributions to the Seattle economy and driving innovation in their respective industries. 200+ startups https://www.youtube.com/watch?v=ZqIW54yMsNc&t=2s&embedable=true Nominations are open. You can nominate your company as the . startup of the year in Seattle here The for Startups of the Year 2023 include: nominated Startups in Seattle Xealth Diagrid Twelve Labs XetData Coda Derisk pyq Logixboard Otto Robotics Protect AI Augment AI Proxi XetData Bungee Tech InsightStudios Pipe17 Coffee Meets Bagel Symbl.ai DefenseStorm Ozette Karat Kevala Moment Veeve Observa Cakework Forum3 Hal9 MotherDuck Read SBL Spiral “We are thrilled to recognize the top startups in Seattle and celebrate their achievements,” said . “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” David Smooke, HackerNoon Founder & CEO is a community-driven voting platform that recognizes startups that are changing technology and the world for the better. Starting May 8th, 2023, the internet can nominate and vote for the best ventures in their city. The voting period will remain open until December 31, 2023, and winners will be announced in January 2024 after a comprehensive evaluation by the HackerNoon team. Startups of the Year 2023 In its , a total of 44,427 startups were nominated in 16 different regions, and the community cast 234,344 votes during a 6-month long campaign in favor of budding companies that were growing and trending across every major city in the world. The received perks from sponsors and a free from HackerNoon. previous iteration 1,382 winners tech company news page As a proponent of the open data movement, HackerNoon releases the unique social data gathered from Startups of the Year on GitHub as “ ” for valuable insights. /where-startups-trend Apart from validation from the world's greenest tech publication, all nominees relevant to their domain, region, and funding. They will also receive an and a free version of their very own on HackerNoon. These pages include business overviews (such as head count, founding year, bio, social links, and domain ranking) coupled with dynamic updates every time the company is mentioned in HackerNoon stories or relevant headlines around the web. get free interviews amazing discount package designed for their startup Tech Company News Page People can , and vote once per day per award for who they think should be Startup of the Year all the way up to December 31st. until June 8th nominate their favorite startups In addition to the award itself, winners receive exclusive interviews, an exclusive NFT from HackerNoon, and a .Tech Domain for life. About HackerNoon HackerNoon is a technology publication that aims to empower developers, entrepreneurs, and tech enthusiasts to share their knowledge and expertise with a global audience. With a readership of over 4M+ monthly visitors, HackerNoon provides a platform for startups and innovators to showcase their work and connect with a vibrant community of like-minded individuals. Did you know that companies that actively engage in blogging experience a whopping 67% increase in leads? Take advantage of HackerNoon's ' ' to kickstart your own company's blogging journey. Startups Package Startups Of The Year 2023 is sponsored by . .Tech Domains For more information about the “Startups of the Year 2023” list and the nominated companies, please visit our . FAQ page Nominations are open. You can nominate your company as the . startup of the year in Seattle here

Startups of The Year 2023: 200+ Startups Nominated in Seattle

The AI debate continues to rage even among experts. Gartner predicts will become geometrically progressive from 2022. As more organizations embrace AI-powered technologies, employees continue to question what the future holds for them. AI technologies While industry trends show growth in the success potential of AI, training AI models for perfection is a complex game for the enterprise. Another reveals limitations to exploiting the full value of AI as organizations continue to battle with moving AI pilots into enterprise-wide production. report by Gartner Without question, AI will be an integral part of our future — but that future isn’t one without humans. Yes, we will increasingly be assisted by AI, but it will not be a replacement.  It’s not just what I think; it’s what the data says. Here are five reasons why you should not be afraid. Will AI replace you in your workplace? Perhaps no, perhaps yes. Let’s look to data to guide us. Tasks that require creativity and critical thinking cannot be handled by AI A found that tasks that involve creativity, emotional intelligence, and critical thinking are less likely to be automated by AI. These are the types of tasks that humans excel at and are often the most valued in the workplace. For example, AI is less likely to replace jobs requiring problem-solving, decision making and emotional intelligence. This is because are based on algorithms and rules that cannot match the flexibility and creativity of human workers. World Economic Forum study AI systems Human capabilities can only be augmented by AI, not replaced Instead of replacing human workers, AI can be used to assist them and make their jobs easier. For example, to enable them focus on more important tasks, leading to increased productivity, efficiency and improved job satisfaction. AI can also be used to analyze large amounts of data, which can help human workers make better decisions. For example, in healthcare, AI can assist doctors in diagnosing diseases by analyzing medical images, which can lead to more accurate and faster diagnoses. AI can automate tasks for humans New jobs will be created, not destroyed As AI becomes more prevalent in the workplace, it is likely to that did not exist before. For example, the field of AI ethics and the need for people to oversee and manage AI systems is an emerging field. As AI becomes more advanced, there will be a growing need for people to oversee its development and implementation and ensure that it is being used ethically. Additionally, as AI is used to automate certain tasks, there will be a growing need for people to retrain for new types of jobs. According to a report by , 375 million workers globally may need to switch occupational categories and learn new skills. The implication is that there may be a significant shift in the job market and workforce due to automation and the increasing use of AI and other technologies. Hence, humans will need to reskill for the work and skills requirements needed to function in the digital and automation economy. create new jobs McKinsey AI is not good at understanding context AI can be trained to recognize patterns but is not good at For example, an AI system might be able to understand that a picture contains a dog, but it might not understand that the dog is a service animal helping a blind person. On the other hand, humans are good at understanding context and Therefore, human workers will still be needed when context is important. For example, in customer service, a human worker is more likely to be able to understand and respond to a customer's needs and concerns, as they can take into account the customer's tone of voice, body language, and overall situation. understanding context. can make decisions based on that understanding. AI is not a monolithic entity AI is not a single technology but rather a . It is important to understand that different types of AI have different capabilities and limitations. For example, machine learning is good at pattern recognition, while natural language processing is good at understanding human language. It is important to have a clear understanding of the strengths and limitations of various AI technologies in order to effectively utilize them in the workplace. While AI may assist in certain tasks, it is ultimately up to humans to oversee and manage the integration of AI into various processes. Therefore, the idea that AI is "stealing jobs" is not entirely accurate, as the collaboration between AI and human efforts will continue to be necessary for successful outcomes. collection of technologies that can be used in different ways Conclusion While AI is making significant advancements and has the potential to automate certain tasks, it is unlikely to replace human workers completely. Instead, it is more likely to enhance human capabilities and create new job opportunities. AI is not well-suited for tasks that require creativity, critical thinking, and context understanding. It is crucial to understand the limitations of AI, as well as its strengths, to effectively integrate it into various industries and work environments. For those who may be apprehensive about the potential impact of AI on their careers, it is essential to proactively seek out resources and educational opportunities to enhance skills and knowledge in areas that augment AI's capabilities, such as creative problem-solving, strategic thinking, and emotional intelligence. On top of that, staying abreast of the latest advancements and trends in AI can serve as an advantageous way to identify potential opportunities and stay ahead of the curve.

Will AI Replace You at the Office?

Why AI Will Bring an Explosion of New Jobs

Learning AI If You Suck at Math - Part Eight - The Musician in the Machine

https://www.youtube.com/watch?v=rWRbTnE1PEM&embedable=true&transcript=true&long=true https://www.youtube.com/watch?v=rWRbTnE1PEM https://www.youtube.com/watch?v=rWRbTnE1PEM https://www.youtube.com/watch?v=rWRbTnE1PEM https://www.youtube.com/watch?v=rWRbTnE1PEM

Stories, News & Mentions about AUGMENTAI

Augmentai’s Stories on HackerNoon