|
Caption "Alas, poor Yorick from Accounts! I knew him well, Horatio: a fellow of infinite jest, of most excellent fancy... and a 750 credit score."
The AI Macro Debate: Silicon Miracle or Economic Mirage? The ivory towers of economic theory are currently shaking, and it’s not because of a sudden shift in interest rates. The "AI Revolution" has officially moved from the realm of science fiction and venture capital pitch decks into the cold, hard reality of macroeconomic forecasting. As the latest discourse from Axios and a viral (and frankly, terrifying) 7,000-word treatise from Citrini Research suggests, we are no longer debating if AI changes the game, but whether it accidentally knocks over the table. For those of us tracking the pulse of the global economy, the divergence in potential outcomes is nothing short of dizzying. We are staring at a "Choose Your Own Adventure" book where one ending leads to a post-scarcity utopia and the other to a 38% market crash and a systemic collapse of consumer demand. The Optimist’s High-Beta DreamThe bullish case for AI is the stuff of dreams for any Chancellor or Central Banker. In this scenario, super-intelligent computing acts as the ultimate multiplier for human labor. It doesn't just replace the secretary; it turns every mid-level analyst into a high-output strategist. This vision promises "Stunning Growth", a surge in GDP driven by efficiencies that justify the current stratospheric valuations of Big Tech. If AI can solve the "productivity puzzle" that has plagued the West since the Great Financial Crisis, then asset prices aren't in a bubble; they are simply front-running a golden age of corporate earnings. In this world, the "perpetual motion machine" of the economy, where one person’s spending becomes another’s income,simply shifts into a higher gear. The "Doom-Loop" and the Ghost in the MachineHowever, a darker narrative is gaining significant traction. The Citrini/Shah essay, which garnered 20 million views in a single day, posits a scenario where the "efficiency" of AI becomes its own undoing. The logic is brutally simple:
The Lesson of "Ghost GDP"History, as always, provides a sobering reality check. We have seen "miracle" technologies before that failed to move the needle on official statistics. Consider the advent of broadcast television. It fundamentally remade family life, global culture, and the advertising industry. Yet, because it was a "free" product, it barely registered in GDP tables beyond the sale of the physical sets. Similarly, the workplace software revolution of the 1990s (think Lotus 1-2-3 and Microsoft Word) decimated clerical roles but didn't always lead to the massive, sustained GDP spikes that economists predicted. We are currently facing the very real possibility of "Ghost GDP": a world where our lives are vastly improved or altered by AI, but the economic data—incomes, tax receipts, and growth—remains stubbornly flat or even declines. The Policy TightropeThe problem for those of us in the "Editor’s Chair" of economic policy is that we don't have the luxury of waiting for the data to confirm which path we’re on. By the time the "lagging indicators" show a collapse in consumer demand, the damage is done. Ernie Tedeschi, chief economist at Stripe, offers a calming, if perhaps traditional, perspective: his default assumption is that this shock won't be fundamentally different from those that came before. Human economies are remarkably resilient and adaptive. We find new things to do. We find new ways to spend. But "usually" is a dangerous word when the technology in question is designed to mimic the very thing—human intelligence—that has always been our ultimate fallback. The Saturday Economist VerdictAre we at the dawn of the greatest era of wealth creation in history, or are we building a digital guillotine for the middle class? The truth likely lies in the messy middle. We will see localized "doom loops" in specific sectors (coding, legal research, data entry) alongside incredible bursts of innovation in others. The real challenge won't be the technology itself, but the velocity of change. If the "Citrini Scenario" is even 10% right, the social contract will need a radical rewrite—and fast. Economic policy makers must stop looking at the rear view mirror and start looking at the "near-term risks" of a world where the puck isn't just moving—it's teleporting. #AI #MacroEconomics #FutureOfWork #Investing #GDP #TechTrends #TheSaturdayEconomist #Axios Developed with our Custom Gem from Google Gemini “Publisher, Editor, Journalist, Correspondent” Based on an original Axios article and the work of Citrini Research and Alap Shah
0 Comments
How AI could shake up the labor market
Axios Macro 19th February 2026 Economic policymakers are bracing for a range of potential AI outcomes, from widespread adoption that causes job market wreckage to the technology's uptake completely stalling. Why it matters: The path that unfolds will shape the future of employment, productivity and inflation trends. Each outcome comes with its own consequences — and challenges — for investment, the financial markets, and monetary policy. What they're saying: In a speech yesterday, Federal Reserve governor Michael Barr laid out three possible AI scenarios, a notable outline of how a top Fed official anticipates the technology could ultimately shape the labor market. 1. Gradually. The first scenario is perhaps the least economically painful. AI uptake is widespread but gradual enough that "large and widespread joblessness is avoided," consistent with earlier tech advances like the internet and personal computers.
The big picture: A new survey — conducted by economic researchers at the Bank of England, the Atlanta Fed and universities in Germany and Australia — shows broad adoption of AI among international companies, but so far limited economic effects.
The intrigue: San Francisco Fed president Mary Daly told Axios San Francisco's Shawna Chen that businesses are in a wait-and-see hiring mode as they assess AI capabilities.
One of the world's richest people and the head of the nation's largest bank, join a group of business executives making bold prognostications about the potential of artificial intelligence, according to the Wall Street Journal last week.
Elon Musk and Jamie Dimon both say artificial intelligence could usher in dramatic change. It will be smarter than humans, transform society and surpass the collective intelligence of mankind in five years. "My guess is that we will have AI that is smarter than any human probably around the end of next year," Musk said in a recent interview. "AI is the fastest-advancing technology I have ever seen." Jamie Dimon, chief executive of JPMorgan Chase, told investors Monday that AI could be as transformative as some of the major technological inventions over the past several hundred years. "Think the printing press, the steam engine, electricity, computing and the Internet, among others," Dimon wrote in his annual letter to shareholders. "The AI race to build the next big thing has sparked a talent war in Silicon Valley. Tech companies have poured cash into AI at a breakneck pace." Google Chief Executive Sundar Pichai has said AI could be more profound than the invention of fire or electricity. Vinod Khosla, founder of venture-capital firm Khosla Ventures, declared last year that within 10 years, AI will take on "80% of the jobs that exist today." "The need to work in society will disappear within 25 years for those countries that adapt these technologies," Khosla said in an interview with The Wall Street Journal. The technology has also led to stark warnings about the future of humanity. Earlier this week, Japan's largest telecommunications company and the country's biggest newspaper cautioned in a manifesto unless AI is restrained, democracy and social order could collapse. In the U.S., the Biden administration last year invoked emergency federal powers to compel major AI companies to notify the government when developing systems that pose a serious risk to national security. Some say predictions of AI's transformative powers have been overblown. Gary Marcus, a cognitive scientist who sold an AI startup to Uber in 2016, said generative AI may one day approach a level where it can transform society, but there has to be vast improvements to approach the level of change produced by the internet or even smartphones. "Generative AI programs currently make too many mistakes, are unreliable and have a superficial understanding of the world," Marcus said. "It is implausible that AI will approach human intelligence by the end of next year. Surpassing all of human intelligence in the next five years is also far-fetched", he said. Marcus offered to wager $1 million with Musk that his prediction of AI becoming smarter than a human by next year turns out to be wrong. Damion Hankejh, chief executive of Ingk, a startup semiconductor company, says he is bullish on the future of AI, saying it will be the next tech renaissance. But he doesn't think current AI systems will advance enough to surpass human intelligence. It's never going to happen," Hankejh said."Digital math machines aren't brains." "There's a lot of hype in AI right now," says Angel Vossough, the co-founder and chief executive of BetterAI. "AI systems are good at analyzing large data sets, and can make predictions or speed up productivity. But they are nowhere near being as intelligent as humans", she said, "a big part of human intelligence is emotional intelligence." "AI needs to connect, understand and respond to human emotions in a way that actually feels authentic and meaningful" she said. "I don't think we are anywhere close." How To Organise for AI ... Just Say CAIO ... Chief AI officer CAIO is one of the hottest new job titles but some say AI strategy should be everyone's job. Many organizations have decided that AI is too important and complicated to rely on one executive to develop and manage their strategy. Organizations raced to develop AI ideas and leadership in 2023. President Biden ordered every federal agency to hire a chief AI officer (CAIO) by the start of 2024. Imagine that a CAIO in every government department in the UK. It could even lead to an end to fax machines in the NHS ... That's all for now. Let me know what you think. Have a great week ahead ... References Elon Musk and Jamie Dimon's AI Predictions and What They Mean for the Future of Humanity - Wall Street Journal. Joseph De Avila. 10th April 2024. Artificial Intelligence (AI) is a rapidly growing field transforming the way we live and work. From self-driving cars to smart home devices, AI is becoming an increasingly integral part of our daily lives. As the technology continues to evolve, it is essential to understand the potential benefits and challenges of AI, as well as its impact on society and the economy.
In this series of articles, we will explore the world of AI, from its history and development to its current applications and future potential. We will examine the ethical and societal implications of AI, including issues of bias, privacy, and job displacement. We will also look at the ways in which businesses and industries are using AI to improve efficiency, productivity, and customer experience. The great thing about AI is we are able to write the series using AI. We experiment with ChatGBT, ChatBot and Aiyla to develop the outline and content. Whether you are a business owner, a technology enthusiast, or simply curious about the world of AI, this series of articles will provide you with valuable insights and perspectives on one of the most exciting and transformative technologies of our time. Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. These machines are designed to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is achieved through the use of algorithms, machine learning, and deep learning techniques that enable machines to learn and improve on their own without being explicitly programmed. The ultimate goal of AI is to create machines that can perform complex tasks and solve problems as well as or better than humans.
Chatbot 1st Ask Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It involves creating algorithms and computer programs that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI systems can be designed to learn from experience and improve their performance over time, making them increasingly sophisticated and capable of performing complex tasks. The goal of AI is to create machines that can perform tasks that typically require human intelligence, making them more efficient and effective in a variety of industries and applications. Chatbot 2nd Ask Artificial Intelligence … Cathie woods Ark Invest We believe that artificial intelligence (AI) learning systems will transform not only retail, media and telecom, as did the Internet, but all sectors in the economy, even those previously thought impervious to disruption, notably health care and financial services. Underlying technologies include Neural Networks, Mobile Connected Devices, Cloud Computing, Streaming, and the Internet of Things. The field of artificial intelligence (AI) is rapidly evolving, and there are many players in the industry. Here are some of the major players in AI from ChatBot
1. Google: Google is one of the leading players in AI, with its deep learning AI platform, TensorFlow, being widely used by developers and researchers. 2. Amazon: Amazon is another major player in AI, with its AI assistant, Alexa, being used in homes and businesses around the world. Amazon Web Services (AWS) also offers a range of AI and machine learning services. 3. Microsoft: Microsoft has invested heavily in AI, with its Azure cloud computing platform offering a range of AI services, including machine learning, cognitive services, and bot services. Microsoft recently invested $10 billion in OpenAi 4. IBM: IBM has been a leader in AI for decades, with its Watson platform being used in a range of industries, including healthcare, finance, and retail. 5. Facebook: Facebook is using AI to improve its social media platform, with its AI-powered news feed and facial recognition technology being just two examples. 6. NVIDIA: NVIDIA is a leading provider of graphics processing units (GPUs), which are used in AI and machine learning applications, including autonomous vehicles and robotics. 7. Intel: Intel is another major player in AI, with its AI hardware and software solutions being used in a range of industries, including healthcare, finance, and autonomous vehicles. 8. OpenAI: OpenAI is a non-profit research organization dedicated to advancing AI in a safe and beneficial way. Flagship product ChatgGBT. These are just a few of the major players in AI, and the industry is constantly evolving, with new players entering the market all the time. We asked ChatGBT, ChatBot and Aiyla to list the top applications for AI, this is what they came up with ….
ChatBot There are several applications of Artificial Intelligence (AI) across various fields. Here are some of the top applications of AI: 1. Healthcare: AI is used in healthcare for medical diagnosis, drug discovery, and personalized treatment plans. 2. Finance: AI is used in finance for fraud detection, risk assessment, and investment management. 3. Retail: AI is used in retail for personalized recommendations, inventory management, and customer service. 4. Manufacturing: AI is used in manufacturing for predictive maintenance, quality control, and process optimization. 5. Transportation: AI is used in transportation for autonomous vehicles, traffic management, and route optimization. 6. Education: AI is used in education for personalized learning, student engagement, and grading. 7. Agriculture: AI is used in agriculture for crop monitoring, yield prediction, and soil analysis. 8. Entertainment: AI is used in entertainment for content recommendation, voice recognition, and facial recognition. These are just a few examples of the many applications of AI. As AI technology continues to evolve, we can expect to see it being used in even more industries and fields. ChatGBT Artificial Intelligence (AI) is a rapidly advancing field that is being applied in a wide range of applications. Here are some of the top applications for AI: 1 Natural Language Processing (NLP): NLP is a subfield of AI that deals with the interaction between computers and humans using natural language. AI-powered chatbots, voice assistants, and language translators are some of the applications of NLP. 2 Image and Video Recognition: AI can be used to recognize and interpret images and videos. This is being used in applications such as facial recognition, object recognition, and self-driving cars. 3 Predictive Analytics: Predictive analytics uses AI algorithms to analyze data and make predictions about future outcomes. This is being used in applications such as financial forecasting, healthcare management, and fraud detection. 4 Robotics: Robotics involves the use of AI to control robots. This is being used in applications such as manufacturing, healthcare, and space exploration. 5 Personalization: AI is being used to personalize user experiences in applications such as e-commerce, digital marketing, and content recommendation. 6 Cybersecurity: AI is being used to detect and prevent cyberattacks by analyzing large amounts of data and identifying patterns and anomalies. 7 Gaming: AI is being used in the gaming industry to create more intelligent and challenging opponents. These are just a few of the many applications of AI, and the field is rapidly expanding into new areas. Aiyla There are many applications of AI (Artificial Intelligence) that are currently transforming various industries. Here are some of the top AI applications: 1. Natural Language Processing (NLP): NLP is used to enable communication between humans and machines, which includes virtual assistants, chatbots, and voice recognition systems. 2. Image recognition: AI-powered image analysis is used to identify and categorize objects in images or videos, and is used for various applications, including facial detection and vehicle recognition. 3. Fraud detection: AI is applied to fraud detection, analyzing patterns of behavior and transaction data for signs of potential fraud, reducing risk and improving accuracy. 4. Predictive maintenance: AI is used to predict equipment failures before they happen, reducing downtime and maintenance costs. 5. Personalized advertising: AI is used to analyze user data and behavior, and create targeted advertising campaigns, increasing the relevance of ads and improving conversion rates. 6. Healthcare and Medical diagnosis: AI is used to diagnose diseases early, predict medical conditions, support drug discovery and research, and offer personalized treatments. 7. Autonomous vehicles: AI is used in the development of self-driving vehicles, making it possible for cars and trucks to operate without human intervention. 8. Robotics: AI is used to create intelligent machines that can perform tasks without human intervention, such as assembling products, picking up items in warehouses, and even performing surgeries. These are just a few examples of the many AI applications that are transforming various fields ... Artificial Intelligence (AI) is rapidly transforming the way we live and work, with its potential to revolutionize industries ranging from healthcare to finance. However, as AI becomes more integrated into our daily lives, there are growing concerns about its ethical and societal implications. In this article, we will explore some of the major ethical and societal implications of AI, including issues of bias, privacy, and job displacement.
Bias in AI One of the most significant ethical concerns surrounding AI is the potential for bias. AI systems are only as unbiased as the data they are trained on, and if the data is biased, the AI system will be biased as well. This can lead to discrimination against certain groups of people, such as women or people of color, who may be underrepresented in the data used to train AI systems. For example, facial recognition technology has been shown to be less accurate in identifying people of color, which could have serious consequences, such as false arrests or mistaken identity. Similarly, AI-powered hiring systems may discriminate against candidates based on factors such as gender or race. Privacy Concerns Another major ethical concern surrounding AI is privacy. AI systems often require vast amounts of data to function, and this data may include personal information such as medical records or financial data. There is a risk that this data could be used for nefarious purposes, such as identity theft or targeted advertising. For example, AI-powered advertising systems may use personal data to target individuals with specific ads, which could be seen as invasive or manipulative. Similarly, AI-powered surveillance systems may infringe on individuals' privacy rights by collecting data without their consent. Job Displacement Another major societal concern surrounding AI is job displacement. As AI systems become more advanced, there is a risk that they will automate jobs previously performed by humans. This could lead to widespread unemployment and economic disruption. For example, self-driving cars could replace human drivers, leading to job losses in the transportation industry. Similarly, AI-powered customer service systems could replace human customer service representatives, leading to job losses in that industry as well. Conclusion In conclusion, AI has the potential to transform our world in countless positive ways, from improving healthcare outcomes to increasing efficiency in business operations. However, it is essential to consider the ethical and societal implications of AI, including issues of bias, privacy, and job displacement. As AI continues to evolve, it is essential that we address these concerns and ensure that AI is developed and used in a way that benefits society as a whole. Which are the jobs at risk in the development of AI by ChatGBT
The development of AI has the potential to automate certain tasks and roles, which may impact specific job categories. While AI is expected to create new job opportunities as well, it is important to acknowledge that certain roles might be at risk. Here are some job categories that could potentially be affected by the development of AI: 1 Routine and Repetitive Tasks: Jobs involving repetitive and predictable tasks are susceptible to automation. This includes jobs in manufacturing, assembly lines, data entry, and administrative tasks that follow a predefined set of rules or processes. 2 Customer Support and Call Centers: AI-powered chatbots and virtual assistants can handle basic customer inquiries and provide support, reducing the need for a large number of customer service representatives. However, human intervention may still be required for complex or emotionally sensitive issues. 3 Transportation and Delivery Services: Autonomous vehicles and drones have the potential to disrupt jobs in the transportation and delivery sectors. Truck drivers, taxi drivers, and delivery personnel may face challenges as self-driving vehicles become more prevalent. 4 Data Analysis and Research: AI has the ability to process vast amounts of data and derive insights, which may impact jobs in data analysis and research. Automated algorithms can analyze data, generate reports, and identify patterns, reducing the need for manual data analysis. 5 Manufacturing and Production: AI-driven robotics and automation technologies can streamline manufacturing processes, potentially leading to a decrease in labor-intensive roles. Jobs involved in assembly, quality control, and routine maintenance may be affected. 6 Financial Services: AI algorithms are increasingly being used for tasks such as financial analysis, fraud detection, and investment recommendations. This may impact certain roles in the financial sector, including analysts and advisors who perform routine analysis and decision-making tasks. 7 Retail and Hospitality: Self-checkout systems, automated kiosks, and AI-powered inventory management systems can streamline operations in retail and hospitality sectors. This may lead to a reduction in cashier roles and certain administrative positions. It is important to note that while certain jobs may be at risk of automation, the overall impact on employment is complex. The development of AI also creates new opportunities for job creation, such as AI specialists, data scientists, AI trainers, and roles that require human skills like creativity, critical thinking, and emotional intelligence. As the workforce evolves, it becomes crucial to focus on up skilling and re skilling initiatives to equip individuals with the necessary skills for emerging roles and ensure a smooth transition in the era of AI |
AI
Artificial Intelligence (AI) is a rapidly growing field that is transforming the way we live and work. From self-driving cars to smart home devices, AI is becoming an increasingly integral part of our daily lives. At our website, we provide comprehensive information and resources on AI, including the latest news and developments, trends and insights, and ethical and societal implications. Whether you are a business owner, a technology enthusiast, or simply curious about the world of AI, our website is your one-stop destination for all things AI. Explore our content and stay up-to-date on the latest advancements in this exciting and transformative technology. ArchivesCategories |
RSS Feed