Ai Disruption Quotes

But we need to do more. We are now in The Between Times for AI—between the demonstration of the technology’s capability and the realization of its promise reflected in widespread adoption.

Value versus Cost Economists tend to focus on cost, and, as economists, we are as guilty of that as anyone. The entire premise of our first book, Prediction Machines, was that AI advances were going to dramatically reduce the cost of prediction, leading to a scale-up of its use. However, while that book suggested that the initial uses of AI would be where prediction was already occurring, either explicitly in, say, forecasting sales or the weather, or implicitly in classifying photos and language, we were mindful that the real opportunity would be the new applications and uses that were enabled when prediction costs fell low enough.

China’s race to AI supremacy will have a profound impact on world order, disorder, and global AI geopolitics.

As AI continues to develop, machines could become increasingly legitimate in autonomously making strategic decisions, an area where humans currently lead.

As algorithms become the most important decision-makers in our lives, the question is not only whether we can trust AI, but whether we can trust that we understand AI well enough.

We need the humility to acknowledge that we may not fully understand the net impacts or timing [of AI].

Science fiction anticipated many of today’s existential questions... Science fiction provides an ethical platform for debate, to anticipate what might arise.

Anything we think we know today in relation to AI will change tomorrow.

As advances in AI, machine learning, and neural networks evolve, incomprehensibility will reach even higher levels - exposing these complex systems to both human and machine errors.

With AI drawing art, creating music, and writing, human creativity is being challenged. Artists, musicians, composers, and writers are all experiencing upheaval which could match that of a factory becoming automated.

Today, AI seems to be the answer to everything, irrespective of the question. If technology is determining outcomes on our behalf, our agency is curtailed and our choices may be beyond our control.

AI is taking over areas that we previously thought were too important to entrust to machines.

To shift the relationship between humans and machines, AI does not have to reach general artificial intelligence, nor become exceptional at handling complex systems. It just needs to become better than us.

More often than not, that was a tough sell. If you go to a business and tell it you can save it $50,000 per year in labor costs if it eliminates this one job, then your AI product better eliminate that entire job. Instead, what entrepreneurs found was that their product was perhaps eliminating one task in a person’s job, and that wasn’t going to be enough to save their would-be customer any meaningful labor costs. The better pitches were ones that were not focused on replacement but on value. These pitches demonstrated how an AI product could allow businesses to generate more profits by, say, supplying higher quality products to their own customers. This had the benefit of not having to demonstrate that their AI could perform a particular task at a lower cost than a person. And if that also reduced internal resistance to adopting AI, then that only made their sales task easier. The point here is that a value-enhancing approach to AI, rather than a cost-savings approach, is more likely to find real traction for AI adoption.

Technology consultancies that design and sell these advanced AI systems may have difficulty being objective about the potential job displacement caused by those very tools. - Roger Spitz, Disrupt With Impact: Achieve Business Success in an Unpredictable Wold

AI won’t replace humans, but people who can use it will.” This sounds reassuring, but it oversimplifies the complex future of work and AI integration. Experts predict a surge in opportunities, but the intricate interplay between cognification, mass automation, and how we work remains uncharted. The net effect of AI on employment is unknown - we have no data on the future.

How can the world find global solutions to systemic challenges like pandemics, climate mitigation and AI regulation? Regional approaches are inadequate for holistic issues.

Just as electricity enabled decoupling the machine from the power source and thus facilitated shifting the value proposition from “lower fuel costs” to “vastly more productive factory design,” AI enables decoupling prediction from the other aspects of a decision and thus facilitates shifting the value proposition from “lower cost of prediction” to “vastly more productive systems.

To remain relevant in the age of AI, we must actively build antifragile foundations that are resilient under stress, and strengthen with shocks.

If we are not thoughtful in becoming AAA, this future scenario could see human agency replaced, with decisions made by algorithms instead of humans.

In the age of AI, we explore the agility needed for humans to stay relevant in the decision-making process.

As we face inseparable technological and existential conditions, we enter an era of Techistentialism. AI will increasingly provide insights that enable more-informed predictive decision-making, humans should remain wary of an inadvertent reliance on prescriptive algorithms dictating specific decisions. Complex and uncertain environments inherently involve unknown unknowns; these are situations where we need to be agile despite the lack of immediate answers.

I believe our civilization stands on the cusp of a technological revolution with the power to reshape life as we know it. To ignore the millennia of human struggle that serves as our society’s foundation, however—to merely “disrupt,” with the blitheness that has accompanied so much of this century’s innovation—would be an intolerable mistake. This revolution must build on that foundation, faithfully. It must respect the collective dignity of a global community. And

For instance, believing that AI can be a proxy for our own understanding and decision-making as we delegate more power to algorithms is superstupid. Perhaps AI is also superstupid, and may cause mistakes, wrong decisions, or misalignment. Further, consider AI ineptitude. What might appear as incompetence may simply be algorithms acting on bad data.

Your job won't be taken by AI, but rather by someone who understands and knows how to use AI

Instead of the education system banning ChatGPT from schools, the focus should be geared towards educating students on how to properly use AI tools. Schools should be at the forefront of innovation and technological progress NOT a place for preserving obsolete learning methods and clinging onto archaic practices that are no longer relevant for the world we live in.

Cash has disappeared so quickly from Chinese cities that it even “disrupted” crime. In March 2017, a pair of Chinese cousins made headlines with a hapless string of robberies. The pair had traveled to Hangzhou, a wealthy city and home to Alibaba, with the goal of making a couple of lucrative scores and then skipping town. Armed with two knives, the cousins robbed three consecutive convenience stores only to find that the owners had almost no cash to hand over—virtually all their customers were now paying directly with their phones. Their crime spree netted them around $125 each—not even enough to cover their travel to and from Hangzhou—when police picked them up. Local media reported rumors that upon arrest one of the brothers cried out, “How is there no cash left in Hangzhou?

I’d used many different words to describe this new incarnation of what I once had viewed purely as a science. “Phenomenon.” “Disruption.” “Puzzle.” “Privilege.” “Force of nature.” But as I retraced my steps across the capital, one new word took precedence. AI was now a responsibility. For all of us. This,

If you are elected, what actions will you take to lessen the risks of nuclear war? What actions will you take to lessen the risks of climate change? What actions will you take to regulate disruptive technologies such as AI and bioengineering? And finally, how do you see the world of 2040? What is your worst-case scenario, and what is your vision for the best-case scenario?

We cannot leave decisions about how AI will be built and deployed solely to its practitioners. If we are to effectively regulate this extremely useful, but disruptive and potentially threatening, technology, another layer of society—educators, politicians, policymakers, science communicators, or even interested consumers of AI—must come to grips with the basics of the mathematics of machine learning.

ask these politicians four questions: If you are elected, what actions will you take to lessen the risks of nuclear war? What actions will you take to lessen the risks of climate change? What actions will you take to regulate disruptive technologies such as AI and bioengineering? And finally, how do you see the world of 2040? What is your worst-case scenario, and what is your vision for the best-case scenario?

When the next elections come along, and politicians implore you to vote for them, ask these politicians four questions: If you are elected, what actions will you take to lessen the risks of nuclear war? What actions will you take to lessen the risks of climate change? What actions will you take to regulate disruptive technologies such as AI and bioengineering? And finally, how do you see the world of 2040? What is your worst-case scenario, and what is your vision for the best-case scenario?

When the next elections come along, and politicians implore you to vote for them, ask these politicians four questions: If you are elected, what actions will you take to lessen the risks of nuclear war? What actions will you take to lessen the risks of climate change? What actions will you take to regulate disruptive technologies such as AI and bioengineering? And finally, how do you see the world of 2040? What is your worst-case scenario, and what is your vision for the best-case scenario? If some politicians don’t understand these questions, or if they constantly talk about the past without being able to formulate a meaningful vision for the future, don’t vote for them.

In the introduction, I wrote that COVID had started a war, and nobody won. Let me amend that. Technology won, specifically, the makers of disruptive new technologies and all those who benefit from them. Before the pandemic, American politicians were shaking their fists at the country’s leading tech companies. Republicans insisted that new media was as hopelessly biased against them as traditional media, and they demanded action. Democrats warned that tech giants like Amazon, Facebook, Apple, Alphabet, and Netflix had amassed too much market (and therefore political) power, that citizens had lost control of how these companies use the data they generate, and that the companies should therefore be broken into smaller, less dangerous pieces. European governments led a so-called techlash against the American tech powerhouses, which they accused of violating their customers’ privacy. COVID didn’t put an end to any of these criticisms, but it reminded policymakers and citizens alike just how indispensable digital technologies have become. Companies survived the pandemic only by allowing wired workers to log in from home. Consumers avoided possible infection by shopping online. Specially made drones helped deliver lifesaving medicine in rich and poor countries alike. Advances in telemedicine helped scientists and doctors understand and fight the virus. Artificial intelligence helped hospitals predict how many beds and ventilators they would need at any one time. A spike in Google searches using phrases that included specific symptoms helped health officials detect outbreaks in places where doctors and hospitals are few and far between. AI played a crucial role in vaccine development by absorbing all available medical literature to identify links between the genetic properties of the virus and the chemical composition and effects of existing drugs.

I worry that there’s also a more self-interested component: Silicon Valley entrepreneurs know that their billions in riches and their role in instigating these disruptions make them an obvious target of mob anger if things ever spin out of control.

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The coming wave is defined by two core technologies: artificial intelligence (AI) and synthetic biology. Together they will usher in a new dawn for humanity, creating wealth and surplus unlike anything ever seen. And yet their rapid proliferation also threatens to empower a diverse array of bad actors to unleash disruption, instability, and even catastrophe on an unimaginable scale.

At the same time, though, many workers will feel the sting of economic disruption,

University scholars Carl Benedikt Frey and Michael Osborne ranked about seven hundred occupations on their likelihood of being disrupted by the early 2030s.[14] At a 99 percent likelihood of being able to be automated were such job categories as telemarketers, insurance underwriters, and tax preparers.[15] More than half of all occupations had a greater than 50 percent likelihood of being automatable.

Think like a perpetual student not a graduate. The future belongs to innovative thinkers not Degree Holders.

AI won't replace thinkers but thinkers who don't think will be replaced.

AI is not waiting for slow learners or late adopters

In the age of AI, ignorance is a one-way ticket to extinction.

Robert Harris wrote a 2011 novel, The Fear Index, that played with the idea of AI actively promoting a feedback loop to spiral human fear out of control, creating market disruption that the “evil hedge fund” could take advantage of.

Ben Belkassem had boned up on the alpha-synths after DeVries stole this ship. Too much was classified for him to learn as much as he would have liked, but he'd learned enough to know her augmentation didn't include the normal alpha-synth com link. Without it, the AI should have been forced to communicate back by voice, not some sort of … of telepathy! Yet he was beyond surprise where DeVries was concerned. After all, she'd survived multiple disrupter hits with no more than a few minor burns, killed eleven men saving his own highly-trained self, taken out a few ground-to-space weapon emplacements, escaped through the heart of Wyvern's very respectable fortifications, and polished off a destroyer as an encore. As far as he was concerned, she could do anything she damned well liked.

This book is a compilation of interesting ideas that have strongly influenced my thoughts and I want to share them in a compressed form. That ideas can change your worldview and bring inspiration and the excitement of discovering something new. The emphasis is not on the technology because it is constantly changing. It is much more difficult to change the accompanying circumstances that affect the way technological solutions are realized. The chef did not invent salt, pepper and other spices. He just chooses good ingredients and uses them skilfully, so others can enjoy his art. If I’ve been successful, the book creates a new perspective for which the selection of ingredients is important, as well as the way they are smoothly and efficiently arranged together. In the first part of the book, we follow the natural flow needed to create the stimulating environment necessary for the survival of a modern company. It begins with challenges that corporations are facing, changes they are, more or less successfully, trying to make, and the culture they are trying to establish. After that, we discuss how to be creative, as well as what to look for in the innovation process. The book continues with a chapter that talks about importance of inclusion and purpose. This idea of inclusion – across ages, genders, geographies, cultures, sexual orientation, and all the other areas in which new ways of thinking can manifest – is essential for solving new problems as well as integral in finding new solutions to old problems. Purpose motivates people for reaching their full potential. This is The second and third parts of the book describes the areas that are important to support what is expressed in the first part. A flexible organization is based on IT alignment with business strategy. As a result of acceleration in the rate of innovation and technological changes, markets evolve rapidly, products’ life cycles get shorter and innovation becomes the main source of competitive advantage. Business Process Management (BPM) goes from task-based automation, to process-based automation, so automating a number of tasks in a process, and then to functional automation across multiple processes andeven moves towards automation at the business ecosystem level. Analytics brought us information and insight; AI turns that insight into superhuman knowledge and real-time action, unleashing new business models, new ways to build, dream, and experience the world, and new geniuses to advance humanity faster than ever before. Companies and industries are transforming our everyday experiences and the services we depend upon, from self-driving cars, to healthcare, to personal assistants. It is a central tenet for the disruptive changes of the 4th Industrial Revolution; a revolution that will likely challenge our ideas about what it means to be a human and just might be more transformative than any other industrial revolution we have seen yet. Another important disruptor is the blockchain - a distributed decentralized digital ledger of transactions with the promise of liberating information and making the economy more democratic. You no longer need to trust anyone but an algorithm. It brings reliability, transparency, and security to all manner of data exchanges: financial transactions, contractual and legal agreements, changes of ownership, and certifications. A quantum computer can simulate efficiently any physical process that occurs in Nature. Potential (long-term) applications include pharmaceuticals, solar power collection, efficient power transmission, catalysts for nitrogen fixation, carbon capture, etc. Perhaps we can build quantum algorithms for improving computational tasks within artificial intelligence, including sub-fields like machine learning. Perhaps a quantum deep learning network can be trained more efficiently, e.g. using a smaller training set. This is still in conceptual research domain.

The bleak predictions of broad unemployment and unrest have put many of the Silicon Valley elite on edge. People who have spent their careers preaching the gospel of disruption appear to have suddenly woken up to the fact that when you disrupt an industry, you also disrupt and displace real human beings within it. Having founded and funded transformative internet companies that also contributed to gaping inequality, this cadre of millionaires and billionaires appear determined to soften the blow in the age of AI.

In deep learning, there’s no data like more data. The more examples of a given phenomenon a network is exposed to, the more accurately it can pick out patterns and identify things in the real world. Given much more data, an algorithm designed by a handful of mid-level AI engineers usually outperforms one designed by a world-class deep-learning researcher. Having a monopoly on the best and the brightest just isn’t what it used to be. Elite AI researchers still have the potential to push the field to the next level, but those advances have occurred once every several decades. While we wait for the next breakthrough, the burgeoning availability of data will be the driving force behind deep learning’s disruption of countless industries around the world.

Given the recent remarkable advances in artificial intelligence, scouting will probably involve “algorithmic warfare,” with competing AI systems plowing through vast amounts of data to identify patterns of enemy behavior that might elude human analysts. Identifying enemy operational tendencies may also aid commanders in employing their forces more effectively, similar to the way the introduction of operations research aided the allies in identifying effective convoy operations during the Battle of the Atlantic in World War II.30 AI could potentially assist efforts to develop malware, which could be used to erase or corrupt enemy scouting information, including the enemy’s AI algorithms themselves. If these efforts are successful, enemy commanders may lose confidence in their scouts, producing a “mission kill,” in which much of the enemy’s scouting force continues to operate but where its product is suspect.

Prompting is going to be one of the most essential skills of the 21st Century

Denial is the most predictable human response. Many people today are in denial of the radical change to the way humans live and do business, including the way we learn [education] courtesy of automation and cutting edge technology such as Artificial Intelligence [AI].

The next 5 years will be more disruptive than the last 10 years. Buckle up, because the era of Artificial Intelligence is taking us on a quantum leap beyond exponential growth.

Having only one skillset or holding only to your academic qualifications in this new era makes you economically vulnerable!

The secret to controlling AI is prompting. Your ability to communicate with large language models will determine how valuable and competitive you in the business world and job market.

To stop technological progress is to stop human progress altogether.

Digital disruption is not about new technologies or new Apps. It is about: A new era New ways of thinking New ways of working New ways of leadership New ways of doing business New ways of making a living, etc

In every disruption, there is an opportunity. So, instead of panicking, pay keen attention to the AI disruption and evolve accordingly.

Another new era in technology has just begun - The AI revolution!

In today's digital world, digital literacy is as important as traditional literacy.

The most valuable asset you can bring to the table is not your degree, but your ability to think and solve problems.

The world will continue to evolve and it's your responsibility to evolve with it. Disrupt Yourself Or Be Disrupted

Instead of resisting technological progress, embrace it. Embrace the AI revolution and learn how to use it. Learn how to talk and communicate better with AI tools. The key to unlocking human potential lies in collaborating and improving our communication with AI systems.

Human potential is not limited by technology, but rather, it is unlocked by it. The value of AI lies in the human touch that drives it forward.

The future belongs to those who can harness the power of AI to unlock their own potential and create new opportunities.

Learning how to talk to AI systems will be a crucial skill of the future and will be a defining factor in the success of individuals and businesses as technology continues to advance.

In the age of artificial intelligence, it is essential to improve your communication skills not only with fellow humans but also with software apps. As technology continues to advance, the ability to effectively communicate with Artificial Intelligence (AI) systems and other technologies is crucial. Refining your communication skills in this regard will not only benefit your personal growth but also enhance your opportunities and keep you relevant in the fast-paced digital world.

The state of digital transformation in Africa is one of both opportunities and challenges.

It is important to ensure that the development and deployment of Artificial Intelligence (AI) is guided by ethical principles

Artificial intelligence is no longer restricted to performing only mundane boring tasks. The evolution of AI now has the potential to disrupt every industry. From finance to farming, art to science, legal to healthcare: AI is rapidly being integrated into every sector, transforming the way we work and live.

Artificial Intelligence will do to many careers what Netflix did to Blockbuster!

As leaders, if you don’t transform and use this technology differently—if you don’t reinvent yourself, change your organization structure; if you don’t talk about speed of innovation—you’re going to get disrupted. And it’ll be a brutal disruption, where the majority of companies will not exist in a meaningful way 10 to 15 years from now.

The rapid rise of Perplexity under Aravind Srinivas underscores how quickly focused, AI-native startups can challenge deeply established incumbents

The clarity of Aravind Srinivas's vision for AI-accelerated knowledge discovery is magnetizing talent and driving Perplexity's rapid execution

AI is a tool, not a replacement.

In the golden age of artificial intelligence, human intuition, creativity, and domain mastery are irreplaceable.

Putting together percentages for the two types of automatability _ 38 percent from one-to-one replacements and about 10 percent from ground-up disruption _ we are faced with a monumental challenge. Within ten to twenty years, I estimate we will be technically capable of automating 40 to 50 percent of jobs in the United States. For employees who are not outright replaced, increasing automation of their workload will continue to cut into their value-add for the company, reducing their bargaining power on wages and potentially leading to layoffs in the long term. We'll see a larger pool of unemployed workers competing for an even smaller pool of jobs, driving down wages and forcing many into part-time or "gig economy" work that lacks benefits.

The Responsive Manifesto declares the following principles: Purpose over Profit Empowering over Controlling Emergence over Planning Networks over Hierarchies Adaptability over Efficiency Transparency over Privacy [RMA]

Our industry is experiencing, a real “silicon obsession”, and it is important to stay grounded and remember that all that glitters is not gold, especially in tech, where adjective such as "disruptive" are overused and the risk of a bubble is always lurking on the corner.

Human civilization has in the past absorbed similar technology-driven shocks to the economy, turning hundreds of millions of farmers into factory workers over the nineteenth and twentieth centuries. But none of these changes ever arrived as quickly as AI. Based on the current trends in technology advancement and adoption, I predict that within fifteen years, artificial intelligence will technically be able to replace around 40 to 50 percent of jobs in the United States. Actual job losses may end up lagging those technical capabilities by an additional decade, but I forecast that the disruption to job markets will be very real, very large, and coming soon.

WeChat was also created specifically for smartphones. Instead of trying to transform its dominant desktop platform, QQ, into a phone app, Tencent aimed to disrupt its own product with a better one built just for mobile. It was a risky strategy for an established juggernaut, but one that paid off big time.

But few, if any, experts predicted that deep learning was going to get this good, this fast. Those unexpected improvements are expanding the realm of the possible when it comes to real-world uses and thus job disruptions.

I estimate this kind of from-the-ground-up disruption will affect about 10 percent of the workforce in the United States. The hardest hit industries will be those that involve high volumes of routine optimization work paired with external marketing or customer service: fast food, financial services, security, even radiology.

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for most, however, human confidence in the objective truth of the machines’ outputs must rest in a type of faith that expresses itself as a wishful belief in the machines’ logic and their developers’ authority. In itself, the emergence of such belief as an accepted method in the pursuit of objective truth marks a major transformation in modern human thought. For even if AI models do not “understand” the world in the human sense—because machines emphatically do not experience consciousness or subjectivity—their objective capacity to reach new and accurate conclusions about our world by nonhuman methods not only disrupts our reliance on the scientific method as it has been pursued continuously for five centuries but also challenges the human claim to an exclusive or unique grasp of reality.

In the world of AI, DeepSeek has shown that disruption can come from unexpected places, shaking even the strongest foundations.

[AI’s] objective capacity to reach new and accurate conclusions about our world by inhuman methods not only disrupts our reliance on the scientific method as it has been pursued continuously for five centuries but also challenges the human claim to an exclusive or unique grasp of reality. What can this mean? Will the age of AI not only fail to propel humanity forward but instead catalyze a return to a premodern acceptance of unexplained authority? In short: are we, might we be, on the precipice of a great reversal in human cognition—a dark enlightenment?

The coming wave is defined by two core technologies: artificial intelligence (AI) and synthetic biology. Together they will usher in a new dawn for humanity, creating wealth and surplus unlike anything ever seen. And yet their rapid proliferation also threatens to empower a diverse array of bad actors to unleash disruption, instability, and even catastrophe on an unimaginable scale. This wave creates an immense challenge that will define the twenty-first century: our future both depends on these technologies and is imperiled by them.

The most important question a nation has to answer is if it creates the right narrative and value for its citizens. Most would agree that the best value creation is about growing the economy in a sustainable way, managing a balanced and inclusive society and making sure there are enough jobs to its citizens and well being, social positive impact and stability. This is complicated in the present world though. We live in a world that is changing at a fast pace, never seen so far in human history. We live now in a technology data driven 4.0 industry revolution - 4IR - world which is more interconnected and affected by technological innovation than ever in history. This new technology-driven world is one filled with promises but also with major challenges and risks. One of the main disruptions which is now part of our lives is the one that comes with so called 4IR, that is affecting our world in ways never seen. These ways imply a new narrative that is as challenging as it is somehow invisible, faster than ever and in many ways deeply dangerous. This narrative implies the advance of advanced digital transformation tools we use everyday, the inception of the so called Artificial Intelligence, that is creating an increasing digitisation, datification and automation of all kinds of services and industries touching the fabrics of social, economic and political with consequences that touch all parts of human and environmental life.

Passively waiting for disruption is the riskiest move.

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