No secter that new tech need more power to operate but when the the popular browser companies such as Google who makes a deal with nuclear power plant to build the 500 MW of electricity just ot power the AI the whole situation becomes clear.
The Kairos partnership reflects a larger trend in tech, with other companies like Microsoft and Oracle also pursuing nuclear solutions to sustain the energy demands of AI and data centers, which are projected to grow exponentially in the coming years.
The Google partnership.
Google recently made a significant deal with nuclear energy startup Kairos Power to power its AI centers using nuclear reactors. This agreement focuses on small modular reactors (SMRs), with first expected to be operational by 2030. The partnership aims to deliver 500 MW of 24/7 carbon-free power by 2035, supporting Google’s data centers and advancing its ambitious goals for net-zero emissions and a carbon-free energy footprint. These reactors are not only pivotal for meeting Google’s growing energy demands, especially with the high power requirements of AI, but also showcase Google’s commitment to developing clean energy technologies to support its AI and other operations sustainably.
Will AI start to consume too much power making it not sustainable and profitable?
Right now the AI dosen’t comsume too much power and uses mix of power sources, including renewable energy. But it may be that in future AI will consume too much and in the end human will turn off the whole idea of AI and go back to older versions to sustain production and less cost of energy.
Mark Zuckerberg, once one of the most admired figures in Silicon Valley, has recently experienced an image transformation. His journey has been marked by both corporate successes and missteps, with intense public scrutiny over Meta’s data privacy issues and unmet expectations for the Metaverse. Recently, he has taken steps to revamp his personal image—appearing more dynamic and publicly engaged. But how effective is this makeover, and does it go deep enough to address Meta’s underlying challenges?
Zuckerberg’s Corporate Crisis: Public Image Meets Reality
Zuckerberg’s troubles began with the fallout from the Cambridge Analytica scandal, a pivotal moment when Facebook was forced to acknowledge its data privacy issues. The scandal raised serious ethical questions and exposed weaknesses in Facebook’s governance. Later, Meta’s decision to bet heavily on the Metaverse compounded these issues, leaving investors skeptical as revenue projections fell short and the public struggled to see the platform’s immediate value.
These controversies cast Zuckerberg as a leader disconnected from his audiences’ needs, often perceived as more focused on technological breakthroughs than social consequences. This alienation became a larger branding issue that not only impacted Meta’s bottom line but also made it difficult for Zuckerberg to rebuild credibility without more transparent engagement.
Rebranding in the Making: The New Zuckerberg
In recent years, Zuckerberg’s visible transformation has drawn attention. His enhanced, more athletic appearance and a fresh approach to public engagement suggest a rebranding effort that could be aimed at appealing to younger demographics and rebuilding Meta’s image. Some observers see this as an authentic move toward change; others view it as a calculated PR tactic aimed at making him seem more relatable.
However, a significant question lingers: can a personal rebrand repair the trust issues that Meta and Zuckerberg have accumulated over time? While a shift in image can attract new attention, critics argue that these efforts remain superficial if not accompanied by deeper adjustments in Meta’s ethical practices and strategic goals. The “new” Zuckerberg, though refreshed, must still contend with unresolved issues that damaged Meta’s reputation in the first place.
Leadership Lessons: Authenticity and Substance Over Surface
Zuckerberg’s experience illustrates a critical lesson in leadership and crisis management: an updated image alone cannot solve a company’s structural problems. Leaders who seek to build trust with their audiences must focus on real, substantive change rather than appearance alone. Authenticity matters, and for a leader who has long been seen as reserved, this is especially important.
Zuckerberg’s rebranding highlights the challenges of public perception in leadership. To be effective, transformation must extend beyond the leader’s image and be mirrored in the company’s values and operations. The current skepticism surrounding his rebranding suggests that Meta may need to communicate these values more clearly, consistently demonstrating ethical commitment in a way that goes beyond the leader’s public persona.
Conclusion: Can Zuckerberg’s Transformation Rebuild Trust?
As Zuckerberg continues this rebranding journey, the central test will be whether it translates into meaningful change for Meta. If this transformation reflects a genuine shift in leadership philosophy, it may help restore Meta’s credibility. But for a lasting impact, Zuckerberg’s new persona must be part of a broader strategy that addresses Meta’s past missteps, actively showing audiences that Meta values transparency and responsibility.
For tech leaders, Zuckerberg’s experience underscores that rebranding requires more than just a new look—it demands authentic, visible changes in how a company operates. The tech world, ever wary of image-driven fixes, increasingly values substance over style. Zuckerberg’s story serves as both a cautionary tale and a powerful example of the challenges in rebuilding a brand’s reputation in today’s tech landscape.
In the rapidly evolving landscape of e-commerce, businesses are continually seeking innovative ways to enhance customer service and engagement. Chatbots and conversational AI have emerged as pivotal tools in this endeavor, offering personalized, efficient, and scalable interactions that significantly improve the customer experience.
The Rise of Chatbots in E-commerce
Chatbots are AI-powered programs designed to simulate human conversation, enabling them to handle a variety of customer service tasks. In the e-commerce sector, chatbots assist with answering frequently asked questions, providing product recommendations, processing orders, and handling returns and exchanges. This automation not only ensures customers receive immediate responses but also allows businesses to manage high volumes of inquiries without compromising service quality. shopify.com
Enhancing Customer Engagement Through Conversational AI
Conversational AI takes chatbot capabilities a step further by incorporating advanced technologies like natural language processing (NLP) and machine learning. This enables a deeper understanding of customer intent and context, facilitating more meaningful and personalized interactions. For instance, conversational AI can analyze customer preferences and browsing behavior to offer tailored product suggestions, thereby enhancing the shopping experience and increasing the likelihood of conversion. landbot.io
Benefits of Implementing Chatbots and Conversational AI
24/7 Availability: Unlike human agents, chatbots can provide round-the-clock support, catering to customers across different time zones and ensuring that assistance is always available when needed.
Scalability: During peak shopping periods or promotional events, chatbots can handle a surge in customer inquiries simultaneously, maintaining consistent service levels without the need for additional staffing.
Cost Efficiency: By automating routine tasks, businesses can reduce operational costs associated with customer service, allowing human agents to focus on more complex and value-added interactions.
Data Collection and Insights: Chatbots can gather valuable data on customer preferences, behaviors, and common issues, providing businesses with insights to refine their products, services, and marketing strategies.
Challenges and Considerations
While the advantages are compelling, implementing chatbots and conversational AI requires careful planning. Ensuring that the AI is trained to understand diverse customer inputs and can handle complex queries is crucial. Additionally, maintaining a balance between automation and the option for human intervention is important to address situations where personalized human touch is necessary. voicespin.com
Future Outlook
As AI technology continues to advance, the capabilities of chatbots and conversational AI in e-commerce are expected to expand. Future developments may include more sophisticated understanding of customer emotions, enhanced multilingual support, and deeper integration with other AI systems to provide a seamless and intuitive shopping experience. convin.ai
In conclusion, chatbots and conversational AI are transforming customer service in e-commerce by providing efficient, personalized, and scalable interactions. By embracing these technologies, businesses can not only enhance customer satisfaction but also gain a competitive edge in the dynamic e-commerce landscape.
As artificial intelligence (AI) continues to advance, its impact on the job market is becoming increasingly evident. Various roles across multiple sectors are facing the threat of automation, particularly those involving repetitive tasks or predictable workflows. This article explores the jobs most likely to be replaced by AI in the near future, including those in creative fields that have already been replaced like journalism, copywriting, and translation.
The Rise of AI in the Workforce
AI technologies are being adopted rapidly by companies seeking efficiency and cost savings. From customer service to data entry, many roles are being automated, leading to significant changes in employment landscapes. Here are some key positions that are at high risk of soon replacement:
High-Risk Jobs
Customer Service Representatives: With the rise of AI chatbots, many customer inquiries can now be handled without human intervention. This trend is expected to continue, reducing the demand for human agents.
Telemarketers: The repetitive nature of telemarketing makes it an ideal candidate for automation. AI systems can conduct calls and manage responses more efficiently than human workers.
Data Entry Clerks: Tasks involving repetitive data handling are increasingly being automated, making this role highly susceptible to replacement.
Bookkeepers and Accountants: AI tools can manage financial records and transactions, leading to a decline in traditional bookkeeping roles.
Creative Fields Under Threat
While many might assume that creative professions are safe from AI’s reach, advancements in technology suggest otherwise:
Journalists: Automated news generation is becoming more common, with AI systems capable of writing articles based on data inputs. This raises questions about the future of traditional journalism.
Copywriters: Companies are beginning to replace human content creators with generative AI that can produce marketing materials and articles quickly and efficiently.
Translators: Machine translation has improved significantly, leading to concerns about job security for human translators as AI tools become more sophisticated.
Companies Embracing Automation
Several major companies have announced plans to replace significant portions of their workforce with AI:
IBM: Plans to replace around 30% of its back-office roles over the next five years.
British Telecom (BT): Aims to cut approximately 55,000 jobs by the end of the decade, with a significant number expected to be replaced by AI.
Jobs That AI Won’t Replace Soon
While AI is set to transform many sectors, certain jobs are expected to remain secure due to their reliance on uniquely human skills. Here are some roles less likely to be replaced by AI in the near future:
1. Skilled Trades
Roles that involve hands-on work, including:
Electricians
Plumbers
Mechanics
These positions require physical dexterity and problem-solving skills.
2. Healthcare Roles
Jobs demanding empathy and human interaction, such as:
Doctors
Nurses
Therapists
Compassionate care ensures these professions will need human practitioners.
3. Education
Teaching roles that inspire and connect with students, including:
Teachers
Educational Administrators
AI can support education but cannot replace human mentorship.
4. Public Service and Emergency Response
Roles that involve public safety, such as:
Firefighters
Police Officers
Social Workers
These jobs require quick decision-making in unpredictable situations.
So what do we have for todayand how can business benefit from it?
While AI is set to transform the job market significantly, many professions will continue to thrive due to their reliance on uniquely human skills that technology cannot replicate. As companies increasingly adopt AI for efficiency and cost-effectiveness, workers must adapt to an evolving landscape where AI plays a prominent role.
Businesses stand to gain substantial advantages from the increasing adoption of AI in the job market. By automating repetitive and time-consuming tasks, companies can significantly improve operational efficiency and reduce costs. This allows resources to be reallocated toward innovation, strategic planning, and growth-focused initiatives. AI-driven tools can enhance customer service by providing faster, more accurate responses through chatbots and virtual assistants, ensuring better customer satisfaction while minimizing human labor.
Additionally, AI enables advanced data analysis, offering businesses deeper insights into consumer behavior, market trends, and operational performance, which helps in making informed decisions. Automation in areas like financial management, logistics, and marketing also accelerates processes, reduces errors, and optimizes outcomes.
Furthermore, as certain roles are automated, businesses can invest in upskilling their workforce, ensuring employees focus on tasks requiring creativity, emotional intelligence, and strategic thinking—qualities AI cannot replicate. By embracing AI and adapting to these market changes, companies can position themselves as innovative leaders, improve productivity, and stay competitive in an ever-evolving economic landscape
However, certain jobs are less likely to be replaced soon. Creative professions—such as artists, musicians, and writers—require original thought and emotional depth that AI cannot replicate. Skilled trades like electricians and plumbers depend on hands-on work and problem-solving abilities. Healthcare roles, including doctors and nurses, demand empathy and human interaction, making them difficult for AI to replace. Similarly, teaching positions require mentorship and connection with students, while public service roles rely on quick decision-making in unpredictable situations.
As we move forward, it is essential for workers to hone these uniquely human abilities to remain relevant in a rapidly changing world. The question remains: who will be the next victim of this technological evolution?
With the rapid advancement of artificial intelligence, the debate about AI replacing human jobs is everywhere. Many worry about AI’s potential to disrupt traditional roles, automating tasks that once relied solely on human labor. But the future may not be as binary as “AI vs. Humans.” In fact, those who work take advantage of AI, blending human intuition with machine efficiency, are proving more productive and capable than humans or AI alone. This isn’t just speculation; as Kevin Kelly, founding executive editor of Wired, insightfully noted, “humans using AI will always be better than AI alone.” And as AI continues to evolve, Kelly links its current state to that of a two-year-old child, filled with potential but still requiring guidance, ethical direction, and careful regulation.
The Fear: Will AI Take Over Human Jobs? The prospect of AI replacing human jobs is grounded in reality. Automation driven by AI has already transformed fields like manufacturing, transportation, and customer service. For example, AI-driven customer service bots can answer queries, resolve issues, and even recommend products 24/7, making certain customer support roles obsolete. The same goes for warehouse automation in companies like Amazon, where robots handle tasks that used to require human labor. Studies suggest that up to 30% of jobs could be automated within the next decade, especially those that are repetitive and predictable. However, historical trends show that while technology does replace some jobs, it also creates new opportunities. AI could drive similar shifts, generating demand for new roles like AI trainers, machine-learning auditors, and even ethical AI consultants. Instead of fearing a total takeover, we can ask how AI will transform the nature of work and how humans can best adapt to these changes.
Human-AI Collaboration: More Than the Sum of Its Parts According to Kevin Kelly, the real power lies in human-AI collaboration. Humans who leverage AI for problem-solving, creativity, and decision-making become more efficient and innovative than if they—or the AI—worked independently. AI excels at processing vast amounts of data, identifying patterns, and executing specific tasks with precision. Humans, on the other hand, bring context, creativity, and ethical judgment to the table. By combining these strengths, we can achieve outcomes neither could accomplish alone. Take, for example, the medical field. AI can analyze thousands of medical images and highlight anomalies far faster than a human could. Yet, it requires a doctor’s expertise to interpret those results within the context of a patient’s unique history. This combination leads to a more accurate and timely diagnosis, benefiting from the speed of AI and the experience of the human doctor. This approach, often referred to as “augmented intelligence,” allows us to use AI as a tool that enhances our capabilities rather than replaces them. As AI develops, roles across industries—from finance to journalism—are benefiting from this collaboration, where humans can work smarter, using AI to support and augment their skills.
AI as a “Two-Year-Old”: Why We Need Regulations and Ethical Guidance Kevin Kelly’s analogy of AI as a two-year-old child is insightful. Today’s AI systems are capable but far from mature; they can process information and perform tasks but lack an understanding of ethics, empathy, or social responsibility. Just as a young child must be taught right from wrong, AI must be guided by regulations and ethical standards to ensure that it develops in a way that aligns with human values. Without clear ethical frameworks, AI has the potential to amplify bias, invade privacy, or make decisions without considering the broader impact on society. Imagine a two-year-old left unsupervised in a complex, adult world; the results could be disastrous. In the same way, unregulated AI could have unintended consequences, affecting everything from privacy rights to security protocols. To manage AI’s growth responsibly, we must establish regulatory structures that shape AI’s development and guide its use. Ethical guidelines and safety protocols are essential, especially for high-stakes applications like healthcare, criminal justice, and finance. Governments and companies are beginning to address this need. For instance, the European Union’s proposed AI Act would classify AI systems by risk and impose strict requirements on applications that impact human rights and safety. By “raising” AI responsibly, we can harness its potential while mitigating its risks.
Shaping a Future with AI: Collaboration Over Replacement The future of work with AI will likely focus less on replacement and more on collaboration. Those who learn to use AI to augment their skills will find themselves well-positioned for success in this new era, where technology amplifies human capability instead of supplanting it. The key to a balanced future lies in how we choose to manage AI’s growth, ensuring that it remains a powerful collaborator rather than an unchecked force. As we navigate this journey, we must approach AI with the same care and guidance we would offer a growing child. By developing ethical frameworks and regulatory guidelines, we can ensure AI matures into a tool that not only complements human efforts but also respects human values. If we do it right, AI can be a transformative force, amplifying human productivity and creativity, while fostering a more innovative, collaborative, and responsible future. “You will NOT be replaced by an AI, but you may be replaced by a human who uses AI”- Kevin Kelly.
Sources: Masters & Robots – https://mastersandrobots.tech/home-pl/ WIRED – https://www.wired.com/ https://www.palladiummag.com/2020/12/10/kevin-kelly-on-why-technology-has-a-will https://arstechnica.com/ai/2025/01/ai-could-create-78-million-more-jobs-than-it-eliminates-by-2030-report https://electroiq.com/stats/ai-replacing-jobs-statistics Made with use of You Chat
The integration of artificial intelligence (AI) into customer service has brought transformative potential to the industry, enabling companies to deliver more personalized, efficient, and scalable experiences. AI-driven tools, such as chatbots, predictive analytics, and automated workflows, have introduced new ways to serve customers promptly and effectively. However, as with any innovation, AI in customer service presents both opportunities and challenges, especially concerning its limitations in human empathy and deep customization.
In this post, we’ll explore how AI is reshaping customer service, highlighting the advantages of AI-powered systems while critically assessing some common misconceptions about its limitations. Additionally, we’ll examine ways companies can maximize AI’s strengths to achieve a balance that enhances both efficiency and empathy.
AI and Customer Personalization: Transforming the Service Landscape
The ability of AI to handle vast amounts of data and extract meaningful insights has revolutionized customer personalization. As cited in one of the articles provided, “The Role of AI in Shaping Future Customer Service,” AI systems can analyze a customer’s history, preferences, and behavioral patterns to predict their needs, often before the customer expresses them. This predictive capability means that companies can proactively resolve issues or suggest solutions tailored to individual customers, enhancing satisfaction and loyalty.
One notable example is AI’s ability to streamline repetitive tasks. Automated systems can provide instant responses to common queries like password resets, order updates, and troubleshooting. By handling these routine interactions, AI reduces wait times and frees human agents to focus on more complex cases, where personal interaction is critical. This layered approach is one of AI’s strengths—using automation for routine issues while enabling human agents to bring empathy and creativity to situations that require them.
The Limitations of Empathy in AI: Addressing a Critical Concern
AI’s effectiveness in handling standardized queries raises an important question: Can it ever replicate human empathy? As one of the articles, “AI Limitations: Where Empathy and Understanding Fall Short,” suggests, AI lacks the emotional intelligence to respond to a customer’s emotional needs. A chatbot or virtual assistant might process a complaint, but it may not recognize when a customer is frustrated, distressed, or disappointed.
This limitation doesn’t necessarily diminish AI’s value; rather, it highlights the need for thoughtful implementation. AI’s role should complement human empathy instead of attempting to replicate it. For instance, an AI system might handle initial triaging, identifying the nature and urgency of an issue before escalating it to a human agent if necessary. This approach enables a seamless customer experience, where AI contributes to efficiency, and human agents add emotional intelligence when required.
Customization Challenges and the Evolution of AI
Critics often argue that AI-driven systems lack flexibility, particularly when handling non-standard requests that fall outside their programmed responses. According to the article “Adapting AI for Complex Customer Needs,” this rigidity can sometimes lead to customer frustration when dealing with unique or nuanced issues. However, advancements in natural language processing (NLP) and machine learning are pushing AI toward greater adaptability.
Newer AI models are trained on diverse data sets, allowing them to understand and respond to complex language patterns and unique queries. These advances in NLP are helping AI-driven systems move closer to understanding context and intent, making customer interactions feel more organic. As AI technology evolves, the line between automated responses and human-like understanding continues to blur, making it more feasible for AI to handle a broader range of inquiries effectively.
Beyond Efficiency: AI as a Catalyst for Human-Centered Customer Service
While AI’s ability to enhance efficiency is widely acknowledged, its potential to enrich customer engagement goes beyond mere automation. According to insights from the article “Future of AI in Customer Engagement,” companies that implement AI alongside human support are better positioned to offer both efficiency and empathy. For instance, AI can empower customer service representatives by providing real-time data on a customer’s history, preferences, and past interactions. This information allows human agents to offer more informed and personalized support, deepening customer relationships.
Furthermore, AI can identify patterns and trends in customer interactions, offering insights that companies can use to improve their services. For example, if AI detects an increase in complaints about a specific issue, it can alert human teams to investigate and resolve the root cause, preventing further dissatisfaction. In this way, AI doesn’t replace the human touch; it amplifies it, making customer service more responsive and proactive.
Striking the Right Balance: A Future of Collaborative Customer Service
The future of customer service lies not in choosing between AI and human agents but in finding the optimal balance between the two. AI should handle repetitive, data-driven tasks to ensure efficiency, while human agents focus on complex interactions that require empathy and judgment. As companies such as IBM and Salesforce have demonstrated, successful AI integration involves a hybrid approach that leverages AI’s strengths and human agents’ emotional intelligence to meet a broader spectrum of customer needs.
The articles provided collectively emphasize that AI works best as a supplement rather than a replacement for human service. By deploying AI in tandem with human support, companies can ensure that customers receive quick responses to routine questions and compassionate assistance for more sensitive issues.
Conclusion: Embracing AI’s Transformative Role in Customer Service
AI has already reshaped the landscape of customer service, offering significant benefits in personalization, efficiency, and predictive capabilities. However, as businesses continue to expand their AI-driven models, they must be mindful of AI’s limitations, particularly in areas where human empathy and complex problem-solving are essential. By implementing AI thoughtfully and strategically, companies can create a customer service experience that balances efficiency with empathy.
In conclusion, AI in customer service is not a one-size-fits-all solution. Its true potential lies in augmenting human abilities, empowering agents to deliver more meaningful and impactful service. As AI technology continues to evolve, those companies that embrace a balanced, human-centered approach will be best positioned to meet the evolving demands of modern consumers, ensuring that customer service remains both efficient and genuinely engaging.
The recent decision by Off Radio Cracow to replace nine professional journalists with AI journalists has left me feeling deeply frustrated and angry. How is this possible? This move, framed as an “experiment,” seems to prioritize cost efficiency over the quality and integrity of journalism, and it raises significant ethical concerns within the media landscape.
Ethical Concerns and Political Correctness
The director of Off Radio Cracow justified this drastic change by suggesting that AI can deliver politically correct content, thus eliminating the potential for bias that human journalists might bring. But why did they do that even though they received so much hate? This rationale is fundamentally flawed. Implementing AI in journalism risks fostering a homogenized narrative, as algorithms often reflect the biases present in their training data. Relying on AI for politically correct reporting could create an environment where challenging perspectives and diverse voices are stifled.
Moreover, the elimination of human journalists raises ethical questions about accountability and responsibility in reporting. Human journalists can engage with their subjects on a personal level, bringing empathy and nuance to their stories. In contrast, AI lacks the capacity for human judgment and emotional intelligence, leading to a potential degradation of quality and a disconnect from the audience’s needs and interests.
Quality vs. Cost Efficiency
While AI journalism offers cost efficiencies—reducing salary expenses and streamlining operations—this financial benefit comes at a steep price: the quality of content produced. I can’t help but worry that AI-generated news may lack depth, analysis, and critical insight. Nuanced topics require an understanding of context that AI systems, limited by their programming, simply cannot grasp. This reduction in quality affects the credibility of the media outlet and diminishes the audience’s trust in journalism as a whole.
The creativity and investigative skills that human journalists bring to their work cannot be replicated by machines. It’s evident that complex issues require thoughtful reporting and diverse perspectives—qualities essential for a well-rounded understanding of current events. This reliance on AI may lead to oversimplified narratives that fail to capture the intricacies of our world.
Audience Engagement and Community Connection
Another critical aspect of journalism is its relationship with the community it serves. Human journalists often cultivate connections with their audience, enabling them to report on local issues with authenticity and relevance. The use of AI in this context could create a significant disconnect, as algorithms cannot engage in the same way human journalists do. This disengagement risks alienating audiences who seek relatable and trustworthy voices in the media.
I am truly appalled by this decision; it feels utterly ridiculous to think that replacing human journalists with AI is a viable solution. The implications extend beyond just the quality of journalism; it poses a significant threat to the job market. If the future of work is headed in this direction, how many talented individuals will be left without jobs? The number of people losing their livelihoods will be tremendous. It’s alarming to consider how this could contribute to a growing issue of unemployment in an already challenging economic landscape.
To Sum Everything Up
In conclusion, the decision to replace human journalists with AI at Off Radio Cracow highlights a troubling trend in the media industry that prioritizes cost over quality. While AI may offer some advantages in terms of efficiency, the ethical implications, reduction in content quality, and disconnection from the audience present significant challenges that cannot be ignored. Journalism thrives on the human element—insight, empathy, and critical thinking. We must carefully consider the implications of this shift and prioritize maintaining human insight and expertise in our reporting efforts to ensure the integrity and credibility of journalism are upheld.
AI influencers are rapidly gaining global recognition, prompting an increasing number of tech companies and startups to develop their own virtual influencers. Given their impressive audience engagement, a common question arises: how do AI influencers generate income?
Interestingly, AI influencers can earn money in much the same way as human influencers. This includes brand promotions, content licensing, merchandise sales, attending virtual events, and more. Be sure to check out our guide on creating an AI influencer before you start thinking about monetizing them.
Brand Collaborations: One of the primary ways AI influencers earn money is through brand collaborations. Brands often approach popular virtual influencers for paid partnerships to promote their products and services. These collaborations can include creating various types of content such as tutorial videos, augmented reality (AR) shopping experiences, and product showcases. For example:
Lil Miquela: This AI influencer has worked with Ugg for their 40th anniversary campaign.
Noonoouri: Known for collaborations with high-fashion brands like Dior, Thierry Mugler, and Viktor & Rolf.
Virtual Events: AI influencers are frequently invited to participate in virtual events and conferences. Brands leverage the influencers’ reach to create buzz and attract audiences. This trend gained momentum during the global pandemic. Notable examples include:
Balenciaga and Fortnite: In 2021, Balenciaga partnered with Fortnite for a high-fashion virtual event featuring various AI influencers.
Lil Miquela at Prada: In 2018, Lil Miquela generated significant buzz by attending Prada’s fashion events, sharing behind-the-scenes content and sneak peeks of new collections.
NFT Artwork: AI influencers can also earn money by creating and selling NFT (non-fungible token) artworks. This method is particularly beneficial for influencers focused on creative activities such as visual arts and photography. Examples include:
Lil Miquela: Her debut NFT, inspired by mythology, sold for 159.5 ETH (approximately $82,361).
Aya Stellar: Released an NFT collection inspired by space travel, with one piece selling for 2.81 ETH (around $10,999).
Rae from Singapore: Introduced an NFT series called “Take A Byte,” with artwork selling for 0.630125 ETH (about $2,463).
Merchandise Sales:Many AI influencers earn money by selling merchandise such as clothing, accessories, and digital products. Examples include:
Qai Qai: Inspired by Serena Williams’s daughter’s favorite doll, Qai Qai is available as a physical doll on Amazon, along with a book.
Noodle and Bun: This virtual influencer sells stuffed animals online.
Monetizing Social Media Audiences: AI influencers with large followings on platforms like TikTok, Instagram, Facebook, and YouTube can access monetization features. For example:
Sponsored Posts: AI influencers can earn significant amounts per sponsored post. Lil Miquela, for instance, earns about $8,000 per post.
Ad Revenue Sharing: Platforms like YouTube share ad revenue with influencers based on views.
Virtual Gifting: Fans can send virtual gifts during live streams on platforms like TikTok.
Content Subscriptions: Platforms like YouTube, Twitch, and Instagram offer subscription services for exclusive content.
Content Licensing:AI influencers can license their unique content, such as videos, images, music, and artwork, to brands and media outlets. This allows them to earn revenue by granting permission to use their copyrighted material.
Conclusion
Currently, AI influencers have numerous commercial opportunities to earn substantial income through content creation, virtual event participation, brand collaborations, and more. Given the current trends, these opportunities are likely to expand in the coming years, offering even more potential for revenue generation. We hope this article has provided valuable insights into how virtual influencers make money and the various opportunities available to them in the market.
The past few years has showed us how fast Generative AI and LLM’s are developing. With the capabilities of AI, people begin to fear for their own jobs. In recent months, the search for “is my job safe?” has more than doubled. People are getting increasingly more scared for their lives. This is very understandable. Technology is scary. Cars drive themselves now, robots run factories and tools like ChatGPT have made certain aspects of study and work obsolete.
Image generated by Dall-E
A huge problem we have to discuss is ethics when it comes to the job market and AI. Can we call some people’s jobs more important than others? Of course we can but does this mean that people should lose their jobs because of this? I am not here to put my opinion on the readers of this blog but we can look at cases where this is already happening. In America and other 1st world nations, fast food workers are losing their jobs to AI in quite large numbers. The ‘Drive Thru‘ system has evolved and people don’t speak to an actual employee to order their food but an AI model that recognises the menu items and creates the order. At the end of 2021, nearly 24% of fast food workers were teenagers. We often look at fast food workers as less important due to their jobs naturally but does this mean that the people working there are easily dispensable?
A Positive Example
The Dawn Cafe in Japan has revolutionised the use of AI while keeping human workers. At this cafe, the waiters are robots who drive around and deliver orders straight to customers. But are these robots fully autonomous? Actually not at all. This cafe hires disabled people who usually struggle to find a job. They are able to control these robots from anywhere around the world. These robots also have language models which allows the pilots to communicate with the customers. I think this is an amazing idea and more companies should take inspiration from this. The project was created by a man named Kentaro who got inspiration for it during his childhood struggles with illness.
Now let’s look at jobs that are more “valued” in society. For example the finance market is heavily at risk. AI can handle and analyse data much faster and more efficient than any human. Customer service tasks are made much easier and fraud detection is practically flawless. In the legal market, AI-driven tools like contract analysis software and predictive analytics are automating tasks traditionally performed by paralegals, legal researchers, and even junior lawyers. These tools can process massive volumes of data, identifying relevant case laws or drafting legal documents with unprecedented speed. As AI systems become more sophisticated, routine legal tasks are increasingly being handled by machines, raising concerns about job cuts, particularly in entry-level positions. Similarly, in marketing services, AI is transforming how businesses approach consumer engagement. Automated content generation, predictive analytics, and AI-driven campaign optimization allow companies to target audiences with precision, often reducing the need for large marketing teams. Chatbots, AI-powered ad platforms, and machine learning tools streamline processes that once required manual effort, like customer support, campaign analysis, and personalized content creation.
From what we can see, AI will replace jobs that can be done better and faster by technology. On the other hand, the development of AI creates a lot more jobs and benefits. Thank you for reading.
Launching a rocket is one of the most critical—and expensive—phases of any space mission. For instance, the Ariane 5 rocket burns around 150,000 liters of liquid hydrogen (LH2) and 33,000 liters of liquid oxygen (LOX) during its ascent, with total mission costs typically ranging from €150 million to €180 million. Given these high stakes, optimizing fuel usage is not just about efficiency; it’s essential for economic viability in the aerospace industry.
The Challenge of Liquid Hydrogen
Liquid hydrogen, while an efficient fuel, poses significant challenges due to its volatility. It must be kept at extremely low temperatures (below -253°C or -423°F) to remain in liquid form, requiring sophisticated storage and handling systems. These systems are complex and add weight and costs to rocket designs.
Additionally, LH2 has a very low density of about 71 kg/m³, meaning large volumes are necessary to store sufficient fuel for a launch. Despite these challenges, hydrogen provides the highest specific impulse of any rocket fuel, typically achieving 366 to 452 seconds in efficiency measurements. This efficiency allows rockets to carry more payload while using less fuel, showcasing hydrogen’s potential for future missions.
Saving Fuel With Artificial Intelligence
To tackle these challenges, the partnership between CNES (Centre National d’Études Spatiales) and Clemessy, a subsidiary of the Eiffage Group, utilizes artificial intelligence (AI) to enhance the fueling process. The AI network learns from historical data to model LH2 behavior during fueling, minimizing risks and ensuring safer launches.
This collaboration not only improves safety but also streamlines operations, allowing for faster and more reliable fueling. AI’s predictive capabilities can significantly enhance the efficiency of the fueling process, reducing potential downtime and associated costs. With rocket launch rates increasing globally, efficiency improvements are vital; for example, the average global launch failure rate is about 1 in 16.
Financial Performance of Clemessy
Clemessy’s investment in AI technology reflects its robust financial standing, with reported revenues of approximately €551.3 million for FY 2021, a gross profit of €481.6 million, and a net income of €19.1 million. Such financial health enables Clemessy to pursue innovations that can meet the growing demand in the aerospace sector.
Environmental Initiatives
Projects like Hyguane, which aim to produce sustainable hydrogen, are expected to significantly reduce CO2 emissions—projected savings of over 3,000 tonnes annually. Additionally, the clean combustion of hydrogen means that its exhaust consists primarily of water vapor, eliminating harmful emissions associated with traditional rocket fuels.
Conclusion
The collaboration between CNES and Clemessy exemplifies how AI can transform rocket fueling processes, addressing significant challenges in safety and efficiency. By leveraging advanced technologies, the aerospace industry can enhance operational viability, contribute to environmental sustainability, and ensure that humanity’s journey into space remains both safe and cost-effective. As this field evolves, the strategic use of AI will position these companies as leaders in the quest for deeper space exploration.
