As we stand on the brink of a new era in connectivity, 5G networks are poised to revolutionize countless industries by delivering unprecedented speed and reliability. This transformation extends beyond just faster downloads on our mobile devices; it lays down the infrastructural backbone for an explosion of innovation across various sectors. In this article, we will explore two compelling case studies where 5G technology is catalyzing innovation and transforming industries.
Case Study 1: Smart Manufacturing and the Industrial Internet of Things (IIoT)
The manufacturing sector is undergoing a significant transformation, driven by the integration of 5G technology into Industrial IoT systems. The enhanced speed and low latency of 5G enable real-time data transmission from a multitude of devices on the factory floor, thus optimizing operations and enabling predictive maintenance.
A prime example can be seen in the operations of Bosch, a global engineering and technology company. By incorporating 5G into their manufacturing processes, Bosch has developed a system that allows for real-time monitoring and analysis of their production lines. This system drastically reduces downtime by predicting equipment failures before they occur. Moreover, Bosch leverages 5G to support highly customizable production lines, which can adapt quickly to changes in consumer demands while maintaining efficiency and product quality.
Case Study 2: Revolutionizing Healthcare with Remote Surgery
One of the most promising applications of 5G technology lies in the field of healthcare, particularly in enabling remote surgery. The ultra-low latency and high reliability of 5G networks make it feasible for surgeons to perform operations from a distance, expanding access to critical medical expertise worldwide.
The potential of this technology was demonstrated in China during an awe-inspiring procedure in which a surgeon used 5G technology to perform brain surgery on a patient from 3,000 kilometers away. The high-speed network facilitated seamless communication and control, offering hope for areas with limited access to skilled healthcare professionals.
The Broad Spectrum of 5G-Driven Innovation
These case studies are just the tip of the iceberg. The capabilities of 5G extend into numerous other domains such as autonomous vehicles, augmented reality, and smart cities, each ripe for disruption and innovation.
In conclusion, 5G networks are not merely an upgrade in telecommunications technology; they represent a driving force for significant technological leaps and transformative business opportunities. Organizations that leverage the capabilities of 5G stand to gain a competitive edge, pushing the boundaries of what is possible and reimagining the future of their industries.
As we move forward into this exciting new world of connectivity, it is crucial for innovators, businesses, and policymakers alike to collaborate in order to maximize the potential of 5G, ensuring that its benefits are deeply and broadly realized across society.
Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.
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In a rapidly evolving business landscape, embracing agility while keeping the customer at the center of everything is more than a competitive advantage—it’s a necessity. This article explores how integrating customer insights into Agile development processes leads to superior outcomes and sustainable success. Through examining compelling case studies, we will unearth practices that place the customer at the heart of innovation.
The Essence of Customer-Centric Agile Development
Agile is designed to be iterative and responsive, which naturally pairs well with a customer-centric approach. By actively involving customers throughout the development lifecycle, teams can better anticipate needs, reduce waste, and deliver products that truly resonate with users.
Case Study: Spotify’s Tribe Model
Spotify’s journey to becoming a leader in music streaming is a testament to the power of customer-centric Agile development. The company employs a unique “Tribe” system that decentralizes decision-making and prioritizes user feedback. Each tribe is akin to a mini-startup focused on a specific area of the product.
By maintaining short feedback loops with their users, Spotify’s teams rapidly iterate on features, ensuring they consistently meet and exceed listener expectations. This approach not only boosts innovation but also fosters a deep cultural alignment towards customer delight.
Case Study: Atlassian’s Customer Feedback Loops
Atlassian, renowned for its collaboration tools like Jira and Trello, has integrated customer-centricity into its Agile frameworks through continuous feedback loops. Atlassian’s teams regularly engage with end-users through advisory panels, user tests, and beta releases.
By cultivating an environment where customer feedback isn’t just solicited but acted upon, Atlassian ensures that its product evolution is consistently aligned with user expectations and anticipated trends. This has resulted in high user satisfaction and industry-leading software solutions.
Implementing Customer-Centric Agile Development in Your Organization
To effectively integrate customer-centricity within an Agile framework, organizations should consider these actionable strategies:
Establish cross-functional teams that include customer advocates.
Create regular touchpoints with customers to gather authentic insights.
Empower teams to experiment based on real-time feedback without bureaucratic delay.
Measure success not only by deliverables but by customer satisfaction and engagement metrics.
By translating these insights into practice, organizations can foster a culture of empathy that not only meets but anticipates customer needs.
Conclusion
Customer-centric Agile development is not a one-size-fits-all solution, but a mindset—a commitment towards building with empathy and addressing real customer pain points. As the business world continues to transform, those who can adapt and innovate from a place of deep customer understanding will lead the charge towards sustainable success.
In this article, I sought to capture the most pertinent vision and insights, focusing on real-world applications and actionable strategies for integrating customer-centric practices within Agile development frameworks. The case studies of Spotify and Atlassian illustrate how leading organizations successfully leverage this integration to achieve innovation and customer satisfaction.
Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.
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As we stand on the brink of a new era defined by exponential technological growth, cybersecurity continues to emerge as a critical focal point in the adoption and deployment of emerging technologies. The accelerating pace at which these technologies are being integrated into business processes and our daily lives underscores the importance of developing robust security measures to safeguard against increasing cyber threats.
Risks and Implications
Emerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), blockchain, and quantum computing are revolutionizing industries. However, they also come with their set of cybersecurity risks. As digital transformation permeates more deeply into organizational structures, ensuring the security of digital infrastructures becomes paramount.
Case Study: Internet of Things (IoT) Vulnerabilities
The proliferation of IoT devices has brought unprecedented connectivity and convenience. However, it has also multiplied the attack surfaces for cybercriminals. A notable incident was the Mirai Botnet attack in 2016, which exploited IoT devices to carry out a Distributed Denial of Service (DDoS) attack, crippling major websites worldwide.
The lack of proper security measures in many IoT devices, such as default passwords and inadequate patch management, allows attackers to gain control and recruit these devices into botnets. This case illustrates the necessity for stronger security protocols and standards in the manufacturing and deployment of IoT devices.
Case Study: Blockchain and Cryptocurrency Threats
Blockchain technology underpins cryptocurrencies and offers enhanced security characteristics due to its decentralized and immutable nature. However, the rise of cryptocurrencies has also attracted cybercriminals seeking to exploit vulnerabilities in exchanges and wallets.
The infamous 2018 Coincheck hack in Japan exemplifies the risks associated with insufficient security in cryptocurrency exchanges. The hackers stole over $500 million worth of NEM cryptocurrency, highlighting how inadequate security measures and lack of regulatory oversight can lead to significant financial losses.
This case underscores the importance of implementing comprehensive cybersecurity strategies and regulatory frameworks to protect digital assets and enhance trust in blockchain-related technologies.
Moving Forward
As organizations increasingly adopt emerging technologies, a holistic approach to cybersecurity becomes essential. This includes prioritizing the security of digital assets, fostering a culture of cybersecurity awareness, and advocating for global standards and regulations tailored to evolving threats.
Businesses, governments, and individuals must collaborate to ensure that the innovative potential of emerging technologies is harnessed responsibly, and that cybersecurity strategies evolve to counteract the sophisticated attacks of the future.
Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.
Image credit: Pixabay
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In today’s rapidly changing business environment, effective management of agile teams has become critical. Agile methodologies emphasize flexibility, collaboration, and customer-centricity. However, managing agile teams comes with its unique challenges that require a nuanced approach. In this article, we delve into some of the best practices for managing agile teams and provide insights through two compelling case studies.
Best Practices for Managing Agile Teams
1. Embrace Transparency
Transparency is the cornerstone of agile team management. Ensure that all team members have access to the relevant information and understand the project goals. This clarity helps in fostering trust and aligning team efforts towards a common objective.
2. Foster a Collaborative Culture
Encourage a culture of collaboration by organizing regular stand-up meetings and retrospectives. These practices enable teams to share feedback, tackle challenges collectively, and continuously improve their processes.
3. Empower Teams with Autonomy
Empowering teams means giving them the autonomy to make decisions and take ownership of their work. Autonomy drives innovation, increases motivation, and enhances accountability.
4. Focus on Continual Learning
Agile environments thrive on continual learning. Encourage your team members to engage in learning opportunities, whether through workshops, online courses, or learning communities. This leads to growth both for individuals and the organization.
Case Study Examples
Case Study: Spotify’s Squad Model
Spotify, a great example of agile success, has implemented a unique Squad model. Each Squad works like a mini-startup with its own mission, a small cross-functional team, and complete autonomy over their area of work. This model has fostered innovation and increased agility across the organization.
Best Practice Highlighted: Empowerment through autonomy – Spotify empowers squads to make decisions independently, enabling rapid innovation and adaptation to market changes.
Case Study: ING’s Agile Transformation
ING, a Dutch multinational bank, underwent a large-scale agile transformation. ING adopted agile principles enterprise-wide, moving away from traditional hierarchical structures. The bank formed tribes, squads, and chapters to streamline operations and improve customer experiences.
Best Practice Highlighted: Transparency and collaboration – By breaking down silos and fostering collaboration, ING improved communication and accelerated product delivery.
Conclusion
Managing agile teams effectively requires a balance of transparency, collaboration, empowerment, and a commitment to continual learning. By following these best practices, organizations can harness the full potential of agile methodologies and drive meaningful innovation and growth. As illustrated by the case studies of Spotify and ING, adopting these practices can lead to exceptional organizational transformation and success.
Remember, driving change and fostering innovation in agile teams is a dynamic journey. Begin by embracing these best practices, and watch your agile teams flourish.
Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.
Image credit: Pexels
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As we stand at the crossroads of technological evolution, quantum computing emerges as a groundbreaking force poised to redefine the landscape of innovation. Unlike traditional computers that use bits as the smallest unit of data, quantum computers utilize qubits, which have the ability to exist in multiple states at once, leading to computational capabilities that are exponentially faster and more powerful. This revolutionary technology holds the potential to transform industries, solve complex problems, and open up new avenues for creativity and progress.
The Promise of Quantum Computing
Quantum computing represents a paradigm shift, offering immense power for problem-solving in fields such as materials science, cryptography, and artificial intelligence. Because of their ability to perform complex calculations at unprecedented speeds, quantum computers can analyze and process enormous amounts of data, providing solutions that were previously unimaginable.
Case Study 1: Pharmaceutical Innovation
Pharmaceutical companies are at the forefront of leveraging quantum computing to accelerate drug discovery. One groundbreaking example is the collaboration between the tech giant IBM and the pharmaceutical leader GlaxoSmithKline (GSK). This partnership aims to use quantum computing to simulate molecular interactions at an atomic level, dramatically speeding up the discovery of new compounds. By accurately predicting how molecules interact, GSK hopes to streamline the development of new drugs, reducing the time and cost involved in bringing lifesaving treatments to market.
With quantum computing, researchers are now able to run simulations that capture the complexities of molecular dynamics, leading to a better understanding of drug efficacy and safety. As a result, this case study underscores the transformative potential of quantum computing in the pharmaceutical industry, promising to revolutionize how new therapies are developed and personalized for patients.
Case Study 2: Revolutionizing Transportation with Quantum Optimization
The transportation sector stands to gain immensely from quantum computing, particularly in the realm of optimization. Volkswagen, in collaboration with D-Wave, a pioneer in quantum computing systems, explored the use of quantum algorithms to improve traffic flow and reduce congestion in urban environments. The pilot project targeted reducing wait times and optimizing routes for city buses in Lisbon during the Web Summit.
By leveraging quantum computing to process and analyze real-time traffic data, the project demonstrated its potential to minimize traffic jams and enhance the overall efficiency of transportation networks. This case study illustrates how quantum computing can be an engine of innovation, offering solutions that create value not only for businesses but also for cities and their inhabitants by reducing travel time, cutting emissions, and improving the quality of urban life.
The Road Ahead
While quantum computing is still in its nascent stages, the potential it holds for catalyzing innovation across industries is undeniable. As we invest in research, development, and collaboration, it’s vital for organizations to envision how they can harness the power of quantum computing to address unique challenges and seize new opportunities. As we step into this new frontier, interdisciplinary partnerships and a keen focus on human-centered design will be essential to unlocking the full potential of quantum technologies.
In conclusion, quantum computing is not just the next frontier in innovation; it is a catalyst for the radical transformation of the technological landscape. By continuing to explore and invest in this extraordinary field, we open doors to limitless possibilities that promise to reshape our world for the better.
SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.
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When Steve Jobs returned to Apple in 1997, one of the first things he did was develop a marketing campaign to rebrand the ailing enterprise. Leveraging IBM’s long running “Think” campaign, Apple urged its customers to “Think Different.” The TV spots began, “Here’s to the crazy ones, the misfits, the rebels, the troublemakers, the round pegs in the square holes…”
Yet Jobs actual product strategy did exactly the opposite. While other technology companies jammed as many features into their products as they could to impress the techies and the digerati, Jobs focused on making his products so ridiculously easy to use that they were accessible to everyone. Apple became the brand people would buy for their mothers.
The truth is that while people like the idea of being different, real change is always built on common ground. Differentiation builds devotion among adherents, but to bring new people in, you need to make an idea accessible and that means focusing on values that you share with outsiders, rather than those that stir the passions of insiders. That’s how you win.
Overcoming the Desire to Be Different
Apple’s ad campaign was effective because we are tribal in nature. Setting your idea apart is a great way to unlock tribal fervor among devotees, but it also sends a strong signal to others that they don’t belong. For example, for decades LGBTQ activists celebrated their difference with “Gay Pride,” which made gay people feel better, but didn’t resonate with others.
It’s not much different in the corporate world. Those who want to promote Agile development love to tout the Agile Manifesto and its customer focused ethos. It’s what they love about the Agile methodology. Yet for those outside the Agile community, it can seem more than a bit weird. They don’t want to join a cult, they just want to get their job done.
So, the first step to driving change forward is to make the shift from differentiating values, which make ardent fans passionate about an idea, to shared values, which invite people in. That doesn’t mean you’re abandoning your core values any more than making products accessible meant that Apple had to skimp on capability. But it does create an entry point.
This is a surprisingly hard shift to make, but you won’t be able to move forward until you do.
Identifying and Leveraging Your Opposition
Make no mistake. Change fails because people want it to fail. Any change that is important, that has the potential for real impact, will inspire fierce resistance. Some people will simply hate the idea and will try to undermine your efforts in ways that are dishonest, deceptive and underhanded. That is the chief design constraint of any significant change effort.
So, you’re going to want to identify your most active opposition because you want to know where the attacks are going to be coming from. However, you don’t want to directly engage with these people because it is unlikely to be an honest conversation. Most likely, it will devolve into something that just bogs you down and drains you emotionally.
However, you can listen. People who hate your idea are, in large part, trying to persuade many of the same people you are. Listening to which arguments they find effective can help unlock shared values and that’s what holds the key to truly transformational change. But most importantly, they can help you define shared values.
So, while your main focus should be on empowering those who are excited about change, you should pay attention to your most vocal opposition. In fact, with some effort, you can learn to love your haters. They can point out early flaws. Also, as you begin to gain traction they will often lash out and overreach, undermine themselves and and end up sending people your way.
Defining Shared Values
Your most active opposition, the people who hate your idea and want to undermine it, have essentially the same task that you do. They want to move people who are passive or neutral to support their position and will design their communication efforts to achieve that objective. If you listen carefully though, you can make their efforts work for you.
For example, when faced with President Woodrow Wilson’s opposition to voting rights for women, Alice Paul’s band of Silent Sentinels picketed the White House with phrases lifted from President Wilson’s own book. How could he object, without appearing to be a tremendous hypocrite, to signs that read, “LIBERTY IS A FUNDAMENTAL DEMAND OF THE HUMAN SPIRIT?
In a similar vein, those who opposed LGBTQ rights often did so on the basis of family values and it was, for decades, a very effective strategy. That is, until LGBTQ activists used it against them. After all, shouldn’t those of different sexual orientations be able to live in committed relationships and raise happy and health families? If you believe in the importance of families, how could you not support same sex marriages?
The strategy works just as well in a corporate environment. In our Transformation & Change workshops, we ask executives what those who oppose their idea say about it. From there, we can usually identify the underlying shared value and then leverage it to make our case. Once you identify common ground, it’s much easier to move forward.
Surviving Victory
Steve Jobs, along with his co-founder Steve Wozniak, started Apple to make computers. But if that’s all Apple ever did, it would never have become the world’s most valuable company. What made Jobs the iconic figure he became had nothing to do with any one product, but because he came to represent something more: the fusion of technology and design.
In his autobiography of Steve Jobs, Walter Isaacson noted that he revolutionized six industries, ranging from music to animated movies, far afield from the computer industry. He was able to do that because he continued to focus on the core values of using technology and design to make products more accessible to ordinary people.
In other words, in every venture he undertook he looked for common ground by asking himself, “how can we make this as easy as possible for those who are not comfortable with technology.” He didn’t merely cater to the differences of his hard core enthusiasts, but constantly looked to bring everybody else in.
Many companies have had hit products, but very few have had the continued success of Apple. In fact, success often breeds failure because it attracts new networks of competitors. Put another way, many entrepreneurs fail to survive victory because they focus on a particular product rather than the shared values that product was based on.
Jobs was different. He was passionate about his products, but his true calling was tapping into basic human desires. In other words, he understood that truly revolutionary change is always built on common ground.
In our rapidly evolving digital landscape, emerging technologies are playing a pivotal role in reshaping how we interact, work, and live. However, with innovation comes the responsibility of ensuring these advancements are accessible to everyone, regardless of ability. It’s crucial that the drive for new technology does not come at the cost of inclusivity. In this article, I will discuss the importance of accessibility and highlight two case studies that exemplify successful integration of accessibility in emerging technologies.
The Importance of Accessibility
Accessibility is not just a feature—it’s a necessity. Ensuring accessibility in emerging technologies means creating equal opportunities for individuals with disabilities to participate fully in society. Accessibility should be embedded in the core design process of every new technology, ensuring that barriers are eliminated from the start, not modified after the fact. It is both ethically sound and economically smart, as it widens the potential user base and brings valuable perspectives to the table.
Case Studies
Case Study 1: Microsoft’s Incorporation of AI in Accessibility Tools
Microsoft has been at the forefront of incorporating artificial intelligence to power accessibility tools, setting a benchmark for technology companies worldwide. One of the standout initiatives includes the use of AI to improve the functionality of its software products, such as Word and Outlook, with features like accessibility checkers and real-time subtitles.
Moreover, with the help of AI, Microsoft has developed Seeing AI, an app designed to empower people who are blind or have low vision by describing the world around them. This app uses the smartphone camera to read printed text, describe scenes, and even recognize faces. This case study demonstrates how AI can be leveraged to enhance accessibility, promoting greater independence and inclusion for users.
Case Study 2: The Emergence of Accessible Virtual Reality by Oculus
The virtual reality (VR) sector has been one of the most exciting areas of technical advancement, yet often criticized for lacking accessibility. Oculus, a leader in the VR field, has initiated significant changes to ensure its products are more inclusive.
Oculus introduced features like adjustable text size, screen reader support, and customizable contrast settings to make their headsets usable by individuals with visual impairments. Additionally, they have been working with accessibility consultants and directly with users who have disabilities to gather feedback and iterate on their designs constantly. This exemplifies how a company can prioritize accessibility and innovation simultaneously, striving to make VR an inclusive space for all.
Conclusion
Ensuring accessibility in emerging technologies is a multifaceted challenge that requires dedication, foresight, and collaboration. Companies need to view accessibility not as an add-on, but as an integral part of the design and innovation process. By learning from the stellar examples set by organizations like Microsoft and Oculus, others can follow suit, ensuring a future where technology serves to bring us all together.
In embracing the principle that accessibility drives innovation, companies not only fulfill a moral obligation but position themselves as leaders in an increasingly conscientious global market. Let us innovate with the goal of inclusivity in mind, ensuring that the benefits of technological advancements are extended to every individual.
SPECIAL BONUS: The very best change planners use a visual, collaborative approach to create their deliverables. A methodology and tools like those in Change Planning Toolkit™ can empower anyone to become great change planners themselves.
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The principles of agile development have revolutionized how teams work together, prioritize tasks, and deliver value to their stakeholders. Embedded within agile methodologies is the concept of continuous improvement, serving as a fundamental pillar to drive adaptability, efficiency, and growth. In this article, I will explore the crucial role of continuous improvement in agile, supported by two insightful case studies that highlight its transformative power.
The Essence of Continuous Improvement in Agile
Continuous improvement, embedded deeply in agile methodologies, ensures that teams constantly evaluate their processes, learn from their experiences, and iteratively enhance their workflows. This principle is particularly manifest in the ‘inspect and adapt’ process, which is central to Scrum’s sprints. Agile’s emphasis on regular reflection and incremental advancements enables teams to address inefficiencies and innovate without burnout.
Key Benefits of Continuous Improvement
Increased Efficiency: By continually reviewing processes, teams can streamline workflows, eliminate waste, and focus on high-value tasks.
Enhanced Quality: Iterative review periods allow teams to identify and fix issues quickly, improving the quality of deliverables.
Adaptability: Teams can swiftly adapt to changes, ensuring that they remain aligned with market demands and organizational goals.
Case Study 1: TechnoSolution Inc.
TechnoSolution Inc., a mid-size software development firm, embraced agile methodologies but initially struggled with rigid structures that stifled innovation. By implementing continuous improvement through retrospectives at the end of each sprint, the company saw substantial gains.
Teams began to utilize root cause analysis to understand deployment delays. Through strategic adjustments, they effectively reduced lead times by 30% and enhanced customer satisfaction. Continuous improvement fostered an environment where employees felt empowered to voice concerns, leading to increased morale and innovation.
Case Study 2: CreativeDesign Studios
CreativeDesign Studios, a leader in UX/UI design, recognized the importance of agility in staying ahead of design trends. However, the fast pace of agile sprints initially overwhelmed their creative process. By embedding continuous improvement methodologies, they transformed challenges into opportunities.
Through bi-weekly retrospectives, team members shared insights on design bottlenecks, resulting in a new collaborative workflow. With this approach, each sprint began to incorporate new tools and techniques based on previous learnings. Over six months, project delivery times were halved, and client feedback scores surged by 40%. Continuous improvement invigorated their agile framework and fueled creative excellence.
Conclusion
Continuous improvement is the heartbeat of agility, enabling teams to grow, adapt, and excel. It demands a culture of openness, reflection, and relentless pursuit of excellence. As demonstrated by TechnoSolution Inc. and CreativeDesign Studios, embedding continuous improvement within agile processes not only enhances performance but also fosters an innovative and dynamic work environment. Organizations that embrace continuous improvement within the agile ecosystem position themselves for long-term success and resilience.
By leveraging the power of constant refinement, teams are empowered to break down barriers, drive innovation, and deliver value in a rapidly changing world. Continuous improvement isn’t just a practice; it’s the pathway to enduring success.
Bottom line: Futurology is not fortune telling. Futurists use a scientific approach to create their deliverables, but a methodology and tools like those in FutureHacking™ can empower anyone to engage in futurology themselves.
Image credit: misterinnovation.com
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Every era contains a prism of multitudes. World War I gave way to the “Roaring 20s” and a 50-year boom in productivity. The Treaty of Versailles sowed the seeds to the second World War, which gave way to the peace and prosperity post-war era. Vietnam and the rise of the Baby Boomers unlocked a cultural revolution that created new freedoms for women and people of color.
Our current era began with the 80s, the rise of Ronald Reagan and a new confidence in the power of markets. Genuine achievements of the Chicago School of economics led by Milton Friedman, along with the weakness Soviet system, led to an enthusiasm for market fundamentalism that dominated policy circles.
So it shouldn’t be that surprising that veteran Republican strategist Stuart Stevens wrote a book denouncing that orthodoxy as a lie. The truth is he has a point. But politicians can only convince us of things we already want to believe. The truth is that we were fundamentally mistaken in our understanding of how the world works. It’s time that we own up to it.
Mistake #1: The End Of The Cold War Would Strengthen Capitalism
When the Berlin Wall came down in 1989, the West was triumphant. Communism was shown to be a corrupt system bereft of any real legitimacy. A new ideology took hold, often called the Washington Consensus, that preached fiscal discipline, free trade, privatization and deregulation. The world was going to be remade in capitalism’s image.
Yet for anybody who was paying attention, communism had been shown to be bankrupt and illegitimate since the 1930s when Stalin’s failed collectivization effort and industrial plan led him to starve his own people. Economists have estimated that, by the 1970s, Soviet productivity growth had gone negative, meaning more investment actually brought less output. The system’s collapse was just a matter of time.
At the same time, there were early signs that there were serious problems with the Washington Consensus. Many complained that bureaucrats at the World Bank and the IMF were mandating policies for developing nations that citizens in their own countries would not accept. So called “austerity programs” led to human costs that were both significant and real. In a sense, the error of the Soviets was being repeated—ideology was put before people.
Today, instead of a capitalist utopia and an era of peace and prosperity, we got a global rise in authoritarian populism, stagnant wages, reduced productivity growth and weaker competitive markets. In particular in the United States, by almost every metric imaginable, capitalism has been weakened.
Mistake #2: Digital Technology Would Make Everything Better
In November 1989, the same year that the Berlin Wall fell, Tim Berners-Lee created the World Wide Web and ushered in a new technological era of networked computing that we now know as the “digital revolution.” Much like the ideology of market fundamentalism that took hold around the same time, technology was seen as determinant of a new, brighter age.
By the late 1990s, increased computing power combined with the Internet to create a new productivity boom. Many economists hailed the digital age as a “new economy” of increasing returns, in which the old rules no longer applied and a small initial advantage would lead to market dominance.
Yet by 2004, productivity growth had slowed again to its earlier lethargic pace. Today, despite very real advances in processing speed, broadband penetration, artificial intelligence and other things, we seem to be in the midst of a second productivity paradox in which we see digital technology everywhere except in the economic statistics.
Digital technology was supposed to empower individuals and reduce the dominance of institutions, but just the opposite has happened. Income inequality in advanced economies markedly increased. In America wages have stagnated and social mobility has declined. At the same time, social media has been destroying our mental health.
When Silicon Valley told us they intended to “change the world,” is this what they meant?
Mistake #3: Medical Breakthroughs Would Automatically Make Us Healthier
Much like the fall of the Berlin Wall and the rise of the Internet, the completion of the Human Genome Project in 2003 promised great things. No longer would we be at the mercy of terrible terrible diseases such as cancer and Alzheimer’s, but would design genetic therapies that would rewire our bodies to find off disease by themselves.
The advances since then have been breathtaking. The Cancer Genome Atlas, which began in 2005, helped enable doctors to develop therapies targeted at specific mutations, rather than where in the body a tumor happened to be found. Later, CRISPR revolutionized synthetic biology, bringing down costs exponentially.
The rapid development of Covid-19 vaccines have shown how effective these new technologies are. Scientists have essentially engineered new viruses containing the viral genome to produce a few proteins, just enough to provoke an immune response but not nearly enough to make us sick. 20 years ago, this would have been considered science fiction. Today, it’s a reality.
Yet we are not healthier. Worldwide obesity has tripled since 1975 and has become an epidemic in the United States. Anxiety and depression have as well. American healthcare costs continue to rise even as life expectancy declines. Despite the incredible advance in our medical capability, we seem to be less healthy and more miserable.
Worse Than A Crime, It Was A Blunder
Whenever I bring up these points among technology people, they vigorously push back. Surely, they say, you can see the positive effects all around you. Can you imagine what the global pandemic would be like without digital technologies? Without videoconferencing? Hasn’t there been a significant global decline in extreme poverty and violence?
Yes. There have absolutely been real achievements. As someone who spent roughly half my adult life in Eastern Bloc countries, I can attest to how horrible the Soviet system was. Digital technology has certainly made our lives more convenient and, as noted above, medical advances have been very real and very significant.
However, technology is a process that involves both revealing and building. Yes, we revealed the power of market forces and the bankruptcy of the Soviet system, but failed to build a more prosperous and healthy society. In much the same way, we revealed the power of the microchip, miracle cures and many other things, but failed to put them to use in such a way that would make us measurably better off.
When faced with a failure this colossal, people often look for a villain. They want to blame the greed of corporations, the arrogance of Silicon Valley entrepreneurs or the incompetence of government bureaucrats. The truth is, as the old saying goes, it was worse than a crime, it was a blunder. We simply believed that market forces and technological advancement would work their magic and all would be well in hand.
By now we should know better. We need to hold ourselves accountable, make better choices and seek out greater truths.
Humans love technology and often we make the mistake of thinking that technology is the only path to innovation.
But there are many examples that prove this is often folly…
The wine industry offers a couple of great examples.
Alternative Wine Innovation Opportunity #1 – Barn Owls
Some vintners in Napa Valley, California are eschewing potentially harmful high-tech rodenticides in favor of fluffy little barn owls to control the local rodent population and to reduce damage to the vineyards. Low-tech or no-tech sometimes provides more sustainable solutions than seemingly convenient high-tech solutions.
Alternative Wine Innovation Opportunity #2 – Music
Mozart in the Vineyard…
A winemaker in Tuscany, Italy has taken to the airwaves to improve the quality of his wines, installing speakers around his vineyard that caress his vines with Mozart during the growing process and the barrels of juice during the winemaking process.
One of the primary benefits of the continuous music is said to be a decrease in the use of insecticides because pests like crickets are forced to leave the area because they can communicate with each other. The music is also said to operate in similar frequencies to running water, causing the grapes to grow better the closer they are to the speakers.
One of the most brilliant parts of the clip is the part where the vintner lets it slip that he has partnered with Bose on the project.
Creating a win-win partnership with a company that might benefit from helping to fund an alternative approach is a great way for an entrepreneurial innovator to reduce the risk and the cost of their experiment.
It is also a great way to work with the partner to create equipment fit for purpose that will ultimately perform better than off the shelf components and for the partner will represent solutions they can use to open up a new market.
Conclusion
Technology is not always the path to innovation, but it is easy to forget this.
It is easy to take shortcuts and not spend enough time finding problems worth solving and to not carefully define the right problem to solve.
Technology is seductive and marketers are skilled at making a technology-based solution seem like the easiest solution or even – the only one. But often, if we keep our minds open and our field of vision spread wide, we may notice low-technology solutions that solve the problem either better or in more sustainable ways or in ways with additional benefits.
So keep your eyes and ears, and all of your other senses, peeled for all potential solutions, not just the high technology ones.