1.1 Tech’s Tectonic Shift: Radically Changing Business Landscapes
Learning Objective
Appreciate how, in recent years, technology has helped bring about radical changes across industries and throughout societies.
This book is written for a world that has changed radically in the most recent years of your lifetime. Consider just a few examples: Uber, the world’s largest “taxi service,” owns no vehicles for hire. Airbnb, the world’s largest accommodations provider, doesn’t own a single hotel or rental property. Facebook, the world’s most visited media destination, creates no content. And the world’s most valuable retailer, China’s Alibaba, owns no product inventory of its own. Change is clearly afoot, and it’s wearing silicon sneakers, carrying a smartphone, and is being blown forward by cloud-fueled, AI-smart hurricane tailwinds. While technology is fundamentally transforming business environments, managers seem painfully ill-equipped for the transition. A report in Forbes suggests 72 percent of firms are failing at digital transformation.
Here are some more examples of the speed of tech-fueled business change: At the end of the dot-com bubble, Google barely existed and well-known strategists dismissed Internet advertising models. By decade’s end, Google brought in more advertising revenue than any firm, online or off, and had risen to become the most profitable media company on the planet. Today, billions in advertising dollars flee old media and are pouring into digital efforts, and this shift is reshaping industries and redefining skills needed to reach today’s consumers. The firm’s ambitions have grown so large that Google has rechristened itself Alphabet (http://abc.xyz), a holding company with divisions focused on markets as diverse as driverless cars and life extension.
At roughly the same time Google was being hatched, Apple was widely considered a tech industry has-been, but within ten years and powered by a succession of handheld consumer electronics hits (iPod, iPhone, iPad), Apple had grown to be the most valuable firm in the United States. The firm has since posted several of the most profitable quarters of any firm in any industry, ever. The Apple Watch alone has sales greater than the entire Swiss watch industry. Apple also puts a big fat exclamation mark on the 21st century key to tech-business success—create platforms, not products. Apple’s integrated ecosystem has launched a constellation of apps, add-ons, and services that add value to Apple ownership. And Apple’s growing business of consumer services—Apple Music, Arcade, Apple TV+, Apple Fitness, News, and iCloud—now bring in so much coin that if it were a separate division, it’d be deep into the Fortune 100, bigger than Pfizer, Coke, Nike, Oracle, or Delta Airlines.
Today there are 3.8 billion smartphone users worldwide, and the smartphone and app store are the modern accelerant of business growth. It took telephones seventy-five years to get to 50 million users, but it took Angry Birds just thirty-five days to do the same. TikTok gained roughly 700 million adherents in its first four years of existence, a figure Christianity took nineteen centuries to achieve.
Today, Facebook’s user base touches an astonishing 3 billion people—a reach no media firm or government had ever remotely approached. Mobile is its linchpin. Facebook made no money on mobile when it first sold stock to the public, but today mobile represents over 90 percent of Facebook’s revenue. Firms are harnessing social media for new product ideas, for millions in sales, and to vet and build trust. But with promise comes peril. When mobile phones are cameras just a short hop from YouTube, Facebook, Instagram, and Twitter, every ethical lapse can be captured, every customer service flaw graffiti-tagged on the permanent record that is the Internet. The service and ethics bar for today’s manager has never been higher. Social media has also emerged as a catalyst for global change, with Facebook and Twitter playing key organizing roles in uprisings worldwide. While a status update alone won’t depose a dictator or expunge racism, technology can capture injustice, broadcast it to the world, disseminate ideas, and rally the far-reaching. Yet technology itself has no morality. We’ve seen leading social media firms struggle as their platforms are used to spread hate, pornography, terrorism both foreign and domestic, and fake news in ways that enrich organized crime and enable the influence of hostile foreign governments and domestic tyrants.
As we emerge from a global pandemic, tech has become even more deeply embedded into our lives. Our screen time has skyrocketed, boosting online ad revenue to make up over half of all ad spending for the first time ever, and pushing profits even higher at Google, Facebook, and Amazon; a triopoly that rakes in more than half of all digital ad revenue. Streaming services boomed, and e-commerce exploded, pushing Amazon to hire more workers in a shorter time than any corporate employer, ever. The year saw Amazon praised for providing much-needed, above minimum-wage jobs at a time of unprecedented layoffs, yet also criticized for workplace safety and brutal working conditions. Online grocery delivery, a segment that had seen slow consumer adoption in the U.S. prior to COVID-19, saw demand double in just a few months. Tech was also front-and-center responsible for acceleration of vaccine development, allowing a handful of treatments to hit the market in record-shattering time, and almost certainly saving multimillions of lives. Yet while technology and strategy combine for some of the business world's strongest winner-take-all, winner-take-most advantages, major tech firms are also under investigation for their influence and competitive practices. Apple, Amazon, Facebook, and Google are under investigation in the U.S. and Europe. China is investigating Alibaba, and collectively the tech giants face investigations in Australia, Brazil, Canada, Japan, South Korea, and the U.K. The influence of tech firms is sending ripples throughout society, causing many to rethink our current notion of capitalism. Tech’s role in fueling conspiracy theories, hate, misinformation, and as a tool for sowing political discord and division has led many to wonder if we can put the most evil outcomes of the tech genie back in the bottle without limiting the economic benefits that digital advancements have brought the world. Managers and employees face a deep set of ethical challenges associated with firm size, competition, data access and use, privacy, security, partnership and alliances, and much more. Want to lead today and in the future? Tech will be deeply embedded in nearly every decision you make, and will likely empower your decision-making through analytics and artificial intelligence (AI) insights, as well.
How to Deal with Big Tech
Are tech giants too big and too powerful? The Economist dives into the debate and offers suggestions on addressing power concerns. What do you think?
Moore’s Law and other factors that make technology faster and cheaper have thrust computing and telecommunications into the hands of billions in ways that both empower the poor and poison the planet.
China started the century as a nation largely unplugged and offline. But today, China has more Internet users than any other country, and China has emerged as a clear leader in smartphone payments. The most downloaded app worldwide, TikTok, is from a Chinese firm. Chinese mobile payment volume is over 250 times greater than the payment volume of their counterparts in the United States. China has spectacularly launched several publicly traded Internet firms that now have market caps and profits to match their U.S. rivals, including Baidu, Tencent, and Alibaba—the largest IPO Initial public stock offering, the first time a firm makes shares available via a public stock exchange, also known as “going public.” of all time.
Artificial Intelligence Overview from Fortune Brainstorm Films
Leading experts discuss AI, with demonstrations shown from farming to beauty.
The world’s second most populous nation, India, has ridden technology to become a global information technology (IT) powerhouse. India now hosts a nearly $200 billion IT services industry, and Apple has even begun manufacturing iPhones in India. Technology has enabled the once almost exclusively agrarian nation to become a go-to destination for research and development (R&D) and engineering across sectors as far-flung as aircraft engine design, medical devices, telecom equipment, and microprocessors. India’s TCS (Tata Consulting Services) is the world’s number two technology solutions firm, second in size only to IBM. India has three-quarters of a billion Internet users. And India’s consumer e-commerce sector is growing so quickly that Walmart recently won a high-stakes bidding war against Amazon, paying $16 billion for a 77 percent stake in India’s Flipkart, a leader in South Asian online shopping and payments. India has also begun to match China in consumer Internet influence launching multibillion dollar startups and boasting both the lowest data rates and highest usage on earth.
Think the United States has world-leading Internet access? Not so much. The United States ranked twentieth in mobile download performance, behind Croatia and Bulgaria, among other nations. The U.S. did better in fixed broadband (landline connections like cable), but the nations ahead of the U.S. included Thailand, Romania, and Hungary.
Even in the far reaches of nations in sub-Saharan Africa, fast/cheap tech is becoming an economic lubricant. Seventy percent of the region’s population lives within range of mobile phone coverage, a percentage of the population greater than those who have access to reliable and safe water or electricity. Forty percent of sub-Saharan Africans already have mobile phones. Tech giants including Google, IBM, and Microsoft now run R&D centers and significant operations in several African nations, tapping into world-class tech talent that’s finally gaining infrastructure for growth. Many nations in sub-Saharan Africa now rank among the world’s fastest-growing economies. And entrepreneurs with local expertise are increasingly serving local needs and building impactful businesses. Ghanaian firm Esoko leverages mobile phones to empower the agrarian poor with farming info and commodity pricing, raising incomes and lowering the chance of exploitation by unscrupulous middlemen. The firm Sproxil uses text message verification to save lives by fighting drug counterfeiting in developing nations around the world. Kenya’s M-Pesa and Somaliland’s Zaad use text messages to replace cash, bringing the safety and speed of electronic payment and funds transfer to the unbanked and leveraging mobile money at rates that far outstrip any nation in the West. Adoption rates are astonishing: 84 percent of adults in Tanzania use mobile phones for money transactions. Mobile money can cut corruption, too, an effort with broad implications as this tech spreads worldwide. When Afghan police officers adopted M-Pesa and began receiving pay using mobile money, many reportedly thought they had received a big raise because the officers handing out their pay were no longer able to cheat workers by skimming cash for themselves.
Fast/cheap computing is also helping create the multibillion dollar Internet of Things (IoT)A vision where low-cost sensors, processors, and communication are embedded into a wide array of products and our environment, allowing a vast network to collect data, analyze input, and automatically coordinate collective action. , putting smarts in all sorts of products: lamps, watches, thermostats, and door locks. Disney has embedded smarts in a wristband it uses to replace ticketing at Disney World. GE thinks sensors and computing will save the planet trillions of dollars through a hyperefficient, data-driven, collectively orchestrated set of devices, and has embedded smarts in everything from home air conditioners to high-end aircraft parts. Think the smartphone market is big? There are already more so-called IoT–connected devices than the entire world population of humans, and that number is only growing.
Cheap processors and software smarts are also powering the drone revolution with far-reaching impact. Today’s farmers use drones to regularly survey crops at closer distances and with greater regularity than satellite or plane flight could ever match. A combination of conventional and infrared imagery can show irrigation variation, crop success, plant damage, fungal and insect infestations, and offer other insights to improve crop yields, stave off crises, improve farmer profits, and cut consumer costs. Today’s agricultural drones can be purchased for less than $1,000, as compared with agricultural plane flights that cost more than $1,000 an hour. And while Amazon and rivals race to replace UPS with drone-to-doorstep delivery, Silicon Valley’s Zipline is leading the charge for the humanitarian community, delivering medical supplies and blood to remote regions of the world (rural Rwanda is up first), offering life-saving packages at pizza-delivery speed.
New Zipline Drones Can Deliver Medicine Faster
Tech for good: The startup Zipline is one of many organizations working to leverage cheap, accurate drones to quickly and cost-effectively deliver medical supplies to remote, underserved communities.
The way we conceive of software and the software industry is also changing radically. Apple, Facebook, Google, IBM, Netflix, and Oracle are among the firms that collectively pay thousands of programmers to write code that is then given away for free. Today, open source software powers most of the websites that you visit. And the rise of open source has rewritten the revenue models for the computing industry and lowered computing costs for startups to blue chips worldwide.
Cloud computing and software as a service are turning sophisticated, high-powered computing into a utility available to even the smallest businesses and nonprofits. Amazon Web Services, by far the world’s biggest provider of cloud computing services, has been adding about as much server capacity each day as its entire e-commerce parent required ten years earlier.
Three-dimensional printers, which allow designs for fabrication to be shared as easily as an e-mail, are poised to reshape manufacturing and transportation. Crafts marketplace Etsy is full of artist-created and custom-printed products, from jewelry to cookie cutters, and this technology has also been used to print tools on-demand for the International Space Station.
Many organizations today collect and seek insights from massive datasets, which are often referred to as “Big Data.” Data analytics, business intelligence, and so-called machine learning are driving discovery and innovation, redefining modern marketing, and creating a shifting knife-edge of privacy concerns that can shred corporate reputations if mishandled.
And the pervasiveness of computing has created a set of security and espionage threats unimaginable to the prior generation.
As recent years have shown, tech creates both treasure and tumult. While tech creates new giants that dominate the top of lists of the world’s most valuable and most profitable firms, also know that half of the Fortune 500 companies on the list in 2000 have fallen off since then as a result of mergers, acquisitions, and bankruptcies. These disruptions aren’t going away and will almost certainly accelerate, impacting organizations, careers, and job functions throughout your lifetime. It’s time to place tech at the center of the managerial playbook.
Key Takeaways
In the previous decade, tech firms have created profound shifts in the way firms advertise and individuals and organizations communicate.
New technologies have fueled globalization, redefined our concepts of software and computing, crushed costs, fueled data-driven decision-making, and raised privacy and security concerns.
Questions and Exercises
Search online and compare profits from Google, Apple, and other leading tech firms with those of major media firms and other nontech industry leaders. How have profits at firms such as Google and Apple changed over the past few years? What do you think is behind such trends? How do these compare with changes in the nontech firms that you chose?
How do recent changes in computing impact consumers? Are these changes good or bad? Explain. How do they impact businesses?
Serial entrepreneur and venture capitalist Marc Andreessen has written that “software is eating the world,” suggesting that software and computing are transforming entire industries and creating disruptive new upstarts. Come to class with examples of firms and industries that have been completely transformed through the use of software.
Venture capitalist Ben Evans, who works with Andreessen, has said “mobile is eating the world.” Give examples of how mobile has built billion-dollar industries that wouldn’t exist without handheld computing power. How should today’s managers be thinking about mobile as an opportunity and threat?
How is social media impacting firms, individuals, and society?
What kinds of skills do today’s managers need that weren’t required a decade ago?
Investigate the role of technology in emerging markets. Come to class with examples to share on how technology is helping fuel economic growth and provide economic opportunity and public good to consumers outside of North America, Europe, and Asia’s wealthier nations.
Work with your instructor to identify and implement ways in which your class can leverage social media. For example, you might create a Facebook group where you can share ideas with your classmates, join Twitter and create a hashtag for your class, leverage Google Hangouts, create a course wiki, or start a Slack channel. (See Chapter 10 “Social Media, Peer Production, and Leveraging the Crowd” for more on these and other services.)
Watch the video below, produced by the World Economic Forum. Is artificial intelligence (AI) really intelligence? What makes AI “smarter”? Which nations lead in AI, and why? What advantages does each have? What sort of balance can be struck between fearing AI, regulating AI, and harnessing AI? Give examples of how AI can be used in business.
AI on Track to Achieving Super Intelligence?
This video from the World Economic Forum highlights the global AI race, what powers AI, concerns and benefits of AI, and short examples of how AI is being used today.
Transcript0.74 to 3.395 | - [Robotic Girl] I'm 23 and I live in Kyoto. |
3.395 to 6.145 | (calm pop music) |
8.11 to 8.943 | - [Stephen Hawking] But I think the |
8.943 to 12.34 | development of full artificial intelligence |
12.34 to 14.837 | could spell the end of the human race. |
14.837 to 18.282 | Once humans develop artificial intelligence, |
18.282 to 23.282 | it will take off on it's own. |
29.98 to 32.3 | - It will not be man or machine. |
32.3 to 36.103 | Our purpose is to augment and really be in service. |
80.798 to 84.15 | - I'm Kai-Fu Lee, I run Sinovation Ventures. |
84.15 to 87.35 | It's a high tech venture capital firm in China. |
87.35 to 90.51 | - My name is Fei-Fei Li, I'm a professor and director |
90.51 to 93.63 | of the Stanford Artificial Intelligence Lab. |
93.63 to 98.23 | I'm also currently at Google on my sabbatical from Stanford. |
98.23 to 101.89 | I'm Jennifer Zhu Scott, co-founder and Principal |
101.89 to 104.92 | of Radian Partner and Radian Blockchain Venture. |
104.92 to 109.5 | - A lot of people ask about AI and whether it's intelligent. |
109.5 to 113.02 | I think today's AI, based on the current state of the arts, |
113.02 to 116.53 | Artificial Intelligence is really more of an optimizer. |
116.53 to 119.137 | It's not intelligent in the same sense that |
119.137 to 122.54 | we think of humans as intelligent. |
122.54 to 127.05 | - We acquire knowledge, we abstract, we create. |
127.05 to 130.46 | There's emotion involved, and there is judgment involved, |
130.46 to 132.563 | and there is a creativity involved. |
132.563 to 136.61 | - Prosto may aknowledge common sense and ability to argue, |
136.61 to 138.93 | the ability to understand humor, |
138.93 to 142.14 | and also a self awareness and compassion. |
142.14 to 144.14 | - Today's machine intelligence is |
144.14 to 147.35 | far from that level of complexity. |
147.35 to 151.85 | - It's probably not most useful if we generalize AI. |
151.85 to 155.46 | AI is an umbrella term from machine learning |
155.46 to 157.312 | to deep learning, to NLP, which is |
157.312 to 161.32 | Natural Language Processing, to reinforcement learning. |
161.32 to 163.44 | There are many different technologies coming to |
163.44 to 166.67 | this umbrella and right now we're at the stage |
166.67 to 169.45 | where AI is very good at doing |
169.45 to 172.45 | one single task, will concentrate at a task, |
172.45 to 174.693 | and repeated a task really really well. |
246.604 to 248.03 | - I think, you know, it's quite interesting |
248.03 to 252.02 | to see the duopoly between U.S. and China. |
252.02 to 253.96 | - China is very interesting. |
253.96 to 257.63 | It's my home country, and I see |
257.63 to 261.92 | with lots of energy where things are in China. |
261.92 to 264.76 | - If we look at the top 100 people in AI, |
264.76 to 268.01 | U.S. probably has 80, UK and Canada |
268.01 to 271.17 | probably have 15, China might have two. |
271.17 to 274.27 | On the other hand, China has four things going for it. |
274.27 to 277.19 | Number one is that China has a huge, |
277.19 to 281.604 | very strong engineering education and a mass of people |
281.604 to 284.31 | with fantastic engineering training |
284.31 to 287.52 | who are ready, able, and willing to jump into AI. |
287.52 to 290.62 | - It's economy is very entrepreneurial right now, |
290.62 to 293.94 | so there's embracement of |
293.94 to 298.04 | new technology and new ideas and that is a very |
298.04 to 301.12 | fertile playground for new technology. |
301.12 to 304.1 | - The third reason is the vast amount of data. |
304.1 to 307.35 | Data is the fuel for AI and China |
307.35 to 309.61 | has more data than anybody else. |
309.61 to 312.06 | Three times more data because of three times |
312.06 to 314.82 | more mobile users compared to the United States. |
314.82 to 316.72 | It's actually 10 times more data |
316.72 to 318.77 | in terms of ordering take out, |
318.77 to 322.51 | 50 times more data in terms of mobile payments. |
322.51 to 327.24 | - The fourth would be that there's a lot of support, |
327.24 to 329.58 | both top down and bottom up in the society |
329.58 to 332.95 | for AI technology and education. |
332.95 to 335.29 | - The government will put billions of dollars, |
335.29 to 338.15 | not at the country level, but the per city level |
338.15 to 341.747 | to help subsidize AI companies land, take off, |
341.747 to 344.51 | and also bring back overseas talent. |
344.51 to 348.11 | - I think the two countries no doubt have become |
348.11 to 351.72 | AI superpower, but they are two very different beasts. |
351.72 to 355.528 | In U.S. we have companies like Boston Dynamics, |
355.528 to 358.77 | Deepmind now is effectively an American company, |
358.77 to 362.74 | and you have the companies like Hanson Robotics, et cetera. |
362.74 to 366.44 | What they're producing is very inspiring, |
366.44 to 369.16 | it's very futuristic, some might argue |
369.16 to 372.35 | it's slightly scary, especially with Boston Dynamics, |
372.35 to 375.75 | you know, when you see the robots can do all this. |
375.75 to 378.02 | At the same time, most of the people, |
378.02 to 381.5 | including myself, we haven't really seen |
381.5 to 383.93 | their products being used by everyone. |
383.93 to 387.29 | And the different in China is, the engineers |
387.29 to 390.88 | and developers in China are very practical. |
390.88 to 394.23 | If what they're developing cannot be commercialized |
394.23 to 397.77 | in the next year or two, they would not develop it. |
397.77 to 402 | And then in the U.S., you see very advanced research |
402 to 405.07 | being very well funded, that's probably gonna be |
405.07 to 410.07 | playing a dominant role in the next 10, 15, 30 years. |
433.8 to 437.25 | - Your voice carries a lot of information about you, |
437.25 to 439.72 | and enormous amount of information. |
439.72 to 442.39 | Everything about your physical stature, |
442.39 to 444.89 | your facial structure, your ethnicity, |
444.89 to 446.45 | what's going on in your body, |
446.45 to 449.8 | your state of health, state of mental heath, |
449.8 to 452.88 | physical health, your income levels. |
452.88 to 456.49 | It captures everything that influences your body and mind |
456.49 to 458.87 | and is evident in your surroundings. |
458.87 to 462.57 | This information is embedded at very very fine levels, |
462.57 to 464.657 | micro levels in the speed signal. |
477.54 to 480.34 | - I was curious to know |
480.34 to 483.75 | what made Hitler so powerful. |
483.75 to 485.84 | Was it because he said the right things, |
485.84 to 489.26 | he was at the right place at the right time? |
489.26 to 491.26 | I think the speculation is that it |
491.26 to 493.555 | might have been something in his voice. |
493.555 to 496.47 | And so I picked up Hilter's voice, and the first thing |
496.47 to 500.37 | I discovered that were signs of Parkinson's. |
500.37 to 503.94 | He would hold his fists clenched like this, |
503.94 to 507.44 | that was to hide a small tremor that he had developed. |
507.44 to 510.3 | And from that kind of evidence, people have speculated |
510.3 to 512.053 | that he might have had Parkinson's. |
514.767 to 517.92 | - I think 100%, from his voice. |
517.92 to 519.993 | I've seen it in his voice, it's clear. |
549.081 to 553.95 | - AI is such a young field, it's only about 60 years old |
553.95 to 556.65 | from ground zero to where we are today. |
556.65 to 559.69 | From that point of view, we have come a long way. |
559.69 to 561.19 | - I think it's better to think about |
561.19 to 565.69 | Artificial Intelligence as a single domain optimizer |
565.69 to 568.93 | and that in itself has huge implications |
568.93 to 573.48 | but it is not human all encompassing intelligence, |
573.48 to 577.03 | which we call Artificial General Intelligence. |
577.03 to 580.45 | There's various disagreement and debate on whether |
580.45 to 582.52 | Artificial General Intelligence is |
582.52 to 584.75 | ever possible and how long it will take. |
584.75 to 587.877 | I'm personally a pessimist on achieving |
587.877 to 589.77 | that level of intelligence. |
589.77 to 593.61 | But I am an optimist on even today's Single Domain |
593.61 to 597.9 | Narrow Intelligence creating huge societal impact. |
597.9 to 600.907 | - Artificial Intelligence is about the learning |
600.907 to 605.08 | and making the right decisions using what you've learned. |
605.08 to 608.75 | We're at a point where we have the understanding now |
608.75 to 613.189 | to do this and therefore we are in the new AI era. |
613.189 to 616.022 | (quiet pop music) |
Watch this video on how 3D printing is spurring advances in manufacturing. How are technologies like this poised to influence the economy, society, and the jobs of the future? Work with classmates to brainstorm ways in which 3D printing can benefit society.
3D Printing Spurring Revolutionary Advances in Manufacturing and Design
This video from “PBS News Hour” discusses how 3D printing is spurring revolutionary advances in manufacturing and design. Watch massive metal printers build rocket engines and fuel tanks.
Research online to investigate how tech firms fared during the pandemic. Which ones benefited? Which struggled and why? How has tech influenced our lives during the pandemic? Which trends are likely to reshape how consumers and businesses use technologies? Consider how this differs from what may have happened if we did not have a global health crisis.