Sunday, February 26, 2017

Early Indications February 2017: B2B Websites a year later

A year ago this month I published the results of a survey of 100 business-to-business websites. (You can review those findings here.) I recently repeated the exercise, staying with the 100-company sample rather than expanding to 250 as I had planned. While there were no shocking surprises, year-over-year trend data suggests some unexpected 
macro directions.

I. What stayed the same

The companies that used video well (Corning, Haas machine tools, Bobcat) are still relatively lonely as front-runners. Given the complexity of many B2B applications, training and troubleshooting videos were relatively rare despite many potential use cases. (Schneider Electric has more than 200 vendor-neutral training videos and certifications in their “Energy University.”) While many companies post corporate overview videos, these were generally of little concrete help and long on a “Successories”-inspired aesthetic in both aural and visual look and feel.

Many good site architectures were the same — there’s no compelling reason why something that works well would need to be overhauled on an annual basis. Leaders here included Cisco, GE, Caterpillar, NXP semiconductors, and Rockwell Automation.

Very few websites included live chat, something I see as essential if a company is dealing with a) millennials or b) loud shop floor customer service scenarios. There was a modest rise in adoption over the year, but it’s still a tiny minority.

Customer value propositions were striking in their rarity. This bothered me more last year: in many cases this time around, the website is addressing so many constituencies (including investors, retirees, and recruits) that a customer focus may legitimately be more appropriate deeper in the site. I’ll say more about this later.

Many sites still presume a desktop user who can print long PDF product catalogs, rather than support mobile-first product data functionality. 

Most sites were organized by corporate org charts (industries, geographies, functional areas) rather than by customer questions. Similarly, many questions were answered by “call your sales representative or local dealer.” There are times when this process makes sense, but there are also instances in which the past default is carried forward solely by institutional inertia rather than using new technologies and behaviors to reinvent customer service from the outside looking in.

II. What changed?

Operational execution has improved. Many sites I had compiled into a list of “Don’ts”  were relaunched in 2016, while others got facelifts. Genuine howler-class errors were hard to find (minor chuckle: one paper company wished everyone a happy Chinese New Year in the year of the “roaster.”) Some sites haven’t been updated in nearly 15 years (hello Nutrasweet), but generally, content was relatively fresh, social media posts were rarely stale, and overall execution was solid, albeit from a Web-centric perspective. Only a small minority of sites (7%) were not mobile-friendly, down from a third last year, and of those 7, at least one (DHL) is in the midst of a site re-launch that addresses the mobile user quite well.

Apart from that, little changed dramatically in terms of site features, customer access, or integration with other marketing functions, particularly trade shows. The change that most interested me was more qualitative, a gradual migration of the online presence from being a storefront to being a broader window into the company. To oversimplify, I see a shift in many B2B sites from online commerce to digital business more broadly conceived. 

Part of this transition is a subtle shift in emphasis: plenty of companies have had “jobs” buttons or  tabs on their websites since day 1. Stock prices are not new additions to many front pages. Fedex has provided package tracking since the early days of their site. I do feel, however, that the best B2B websites I saw provided a richer representation of what the company _is_ (rather than “sells”) than in my past experience; your mileage may vary. One data point I’m watching: hardcore engineering-driven companies including GE and Parker Hannifin linked to Pinterest for the first time that I’ve seen.

This more holistic representation might be a function of the need to attract millennial recruits. In B2B especially, selling microprocessors, ball bearings, or industrial lubricants is not intrinsically appealing to people who typically lack familiarity with the industries and scenarios in which those products are used. Then to compound the difficulty of recruiting college students, many B2B websites were, to be charitable, limited in their digital adeptness. Thus students were being asked to help market products they didn’t use, understand, or relate to, using trade shows, newsletters, paper catalogs, and 50-something sales reps. Thus, my hypothesis goes, some of the increased use of social media, online video, and smartphone apps by B2B marketers is driven by a) younger staff and/or b) the recognition of the need to attract younger staff.

It’s no surprise that web presences appeal to investors: CEOs get paid not for selling widgets but for selling the stock. In chemicals in particular (Air Liquide, Dow, BASF, Henkel), I saw significant attention paid to investors, far more (at the top level of site organization) than to customers. In many more cases, the front page was a mixture of missions. Carried out well, such a heterogeneous approach gave a holistic sense of a company. Carried out poorly, it was design-by-committee without a central organizing design theme, organizational logic, or navigational rubric. 

An example of the former can be found at DB Schenker, a German logistics provider. News items related to the logistics industry, a corporate acquisition, and environmental impact all appear, alongside a conference invitation. The rotating photos “above the fold” relate to a new facility on the US-Mexico border, a smartphone app, careers, cargo insurance, and an outdated piece from November on holiday shipping and the retail sector. Thus multiple functions (public relations, investor relations, HR/recruiting, marketing, and sales) are represented, along with database connections to operations for shipment initiation and tracking.

In many ways, we are heading “back to the future,” to the e-business days of 20 years ago. Looking at B2B sites from 1996 in the Internet Archive’s Wayback Machine reminded me that much like today’s millennials, some companies were “born digital” while others migrated to this way of doing business. Thus Cisco’s embedding of business processes in digital backbones represents a different ethos, investment landscape, and demographic than does most B2B companies’ migration. As more paper/analog-based executives retire, as digital content platforms improve, as interactive agencies understand the uniqueness and complexity of B2B, and as mobility forces a re-architecting of many companies’ online presence, I believe the survey results in 2020 will look significantly different.

For all this conventional talk about a gradual evolution, however, there is major change afoot: many industries are embracing and/or struggling with the notion of embedded, networked sensors and actuators populating massive data stores of machine-to-machine traffic, the so-called “Internet of Things.” This new emphasis is probably the biggest change I saw between 2016 and 2017. It isn’t literally true that every company I surveyed had IoT on the front page, but it was WAY more common than just a year ago. Most accounting and consulting firms are highlighting it, as are industrial controls companies like Rockwell, infrastructure providers including Belden (which has an IoT phone conference scheduler on the front page) and power systems companies, hardware companies such as Cisco and Intel, and analytics software providers led by SAS and SAP. Thus market trends (along with the aforementioned demographics) will drive “digital nativism” deeper into the corporate hierarchy of many companies, demanding cross-functional collaboration, intelligent risk awareness and mitigation, new privacy policies and processes, and operational integration in something close to real time. Given the ever-expanding IoT market size estimates for 2020 (now in the hundreds of billions of dollars), I know what I’ll be watching for doing the next web census in 2018. 

Monday, January 30, 2017

Early Indications January 2017: Where’s the innovation?

As I was discussing the pace of change with my class recently, I struggled to name a hot young startup. It turns out there was a reason for that. Looking at the Fortune list of the biggest private companies with billion-dollar valuations, filtered for US head offices only, you get these companies, all with valuations over $5 billion:

Uber
Airbnb
Palantir
Snapchat
SpaceX
Pinterest
Dropbox
WeWork
Theranos
Intarcia Therapeutics
Lyft
Stripe.

Of these, Uber and Airbnb are of course interesting, and valuable, but it’s hard to call them tech startups, based as they are on the so-called sharing economy model. (Lyft is valued at about a ninth of Uber.) Palantir is an intelligence/defense contractor, so 99% of people won’t knowingly interact with it or recognize it. SpaceX is a literal moonshot, again, not really a typical tech startup. Pinterest feels like it could have been big, but given that its valuation is higher than a projected IPO, it feels like an underwater mortgage. WeWork is more like a REIT than an Apple or Google, Theranos is discredited and won’t likely be on the 2017 list, and the biotech firm Intarcia is almost fifteen years old, focused on a diabetes drug. Stripe builds payment infrastructure, a classic B2B play. That leaves one sole unicorn in the Netscape/Google/Facebook mold: Snapchat. An IPO there could draw some attention, but I can’t see it being a seismic event on par with Google or Facebook.

It also bears noting that none of these companies is at all young. Intarcia is 22 years old, while the youngest companies date from 2010-11. Put another way, here’s a list of important tech IPOs:

Apple 1980
Compaq 1983
Lotus 1983
EMC 1986
Microsoft 1986
Oracle 1986
Sun Microsystems 1986
Dell 1988
Electronic Arts 1989
Cisco 1990
AOL 1992
Netscape 1995
Yahoo 1996
Amazon 1997
Netflix 2002
Google 2004
Facebook 2012

Note the slowdown after 2000 in “blockbuster” IPOs of companies that return value over a relatively long span; such companies as Etsy, Fitbit, GoPro, Twitter and Zynga all have flopped after hitting the public markets. Tesla stock has performed well thus far despite never turning a profit, but that can’t last forever. Netflix required a lot of patience: if you bought at the IPO, it took 8 years for the stock to stop flat-lining, but since 2010, it’s risen from $8 a share to more than $140. All in all, we seem to be in a lull as far as fast-growing tech startups are concerned (with the caveat that Uber and Airbnb are both game-changers precisely because their asset model breaks traditional assumptions).

Several forces are at work, I’m hypothesizing:

1) The App Store platform model has lowered the barrier to entry for software developers. It’s hard to find a major pure-play software company of any magnitude in the past 10 years. The enterprise market has some counter-examples, to be sure: Workday, VMware, Palantir, and Tableau each have market niches, but none dominate an entire industry or have broad public visibility.

2) The gap (in the wrong direction) between private market valuations and public market outcomes is making many companies hesitate before launching an IPO. Dropbox has (or has had) a paper valuation of $10 billion. Its public traded competitor Box has a market cap of $2.2 billion on revenues of $300 million, so Dropbox would need to be pulling in roughly 4-5 times that — in the neighborhood of $1.5 billion — to justify such a lofty pre-IPO price. Staying private prevents that gap from becoming public, but it also delays the funding entities’ exits.

3) The next frontiers in computing — big data, AI, robotics, autonomous vehicles, Internets of Things — will often be capital-intensive ventures. It’s hard to see a startup outmaneuvering GE or Caterpillar on locomotive instrumentation, or disrupting Rolls Royce or Pratt & Whitney with revolutionary jet engine monitoring systems and software. Cloud plays like Rackspace, Cloudera, and Dropbox will be similarly asset-heavy, making Facebook or Google-like multiples difficult now that the industry is both mature (in its tight margins) and operating at huge scale. Meanwhile, most IoT or autonomous vehicle operations will need deep pockets: Uber bought Otto, Google’s car business (Waymo) finally has a name to go with its budget, and the incumbents (Volkswagen/Audi, Toyota, GM, Ford, Delphi, Continental, Bosch) are busy as well. Factors like product liability can quickly discourage garage-scale operations, as they did George Hotz’s Comma.ai effort last October. Robotics isn’t a big factor in the unicorn list; maybe that will come later.

4) Starting with Netscape, web-based software businesses have had a difficult time getting money from retail customers, compared with Lotus, for example. Netflix is the rare content play that turns a profit from direct payments; AOL, news media, standalone music services, and even investment advice sites are struggling. Some have tried the enterprise route, but the big successes have been ad-funded. Given the enormous power (speaking here of the U.S. market) of Google and Facebook, it’s hard to see how Snapchat, Vine, Twitter, Tumblr, or some new startup can break into that select club. Even Quora, with its vast knowledge base, seems content to run low-key ads that likely don’t pay the rent. On the demand side meanwhile, people are accustomed to getting good stuff for free (“consumer surplus,” in economists’ terms), making the ad model viable and in many sectors essential. There are only so many hours of human attention in a day, though, and getting new share means dislodging some well-entrenched incumbents.

5) Maybe, in line with what the economist Tyler Cowen has argued, a broader innovation slowdown is hitting the tech sector. When you look at our grandparents or great-grandparents, some of whom lived through both the Wright Brothers’ first flight and the 1969 moon landing, mass electrification and the atom bomb, penicillin’s introduction and the MRI, open-heart surgery and test-tube babies, the Internet’s origination and the first cell phone, 1900-1980 was a period of innovations that reshaped everyday life. Since 1980, what else is in that league besides the smartphone and World Wide Web, obviously? Fracking transformed oil and gas, the mini-mill reinvented the steel industry, and minimally invasive surgery is the norm for many procedures (as are stents rather than open-heart surgery). Cloud computing is reshaping the server and now storage markets, Skype was revolutionary (but non-revenue-producing) before Microsoft tamed it, and Google search solved a very hard technical problem. GPS reinvents our sense of space and location. But will we really look back on Facebook, YouTube, and LinkedIn on the same plane as the automobile, television, or the transistor?

6) Speaking of the smartphone, the final factor affecting our perception of innovation is the globalization of tech. Whether it’s the Japanese messaging app Line raising $1 billion last summer, Alibaba’s record-setting $25 billion offering in 2014, or privately held Xiaomi’s status as a pre-IPO hardware company worth $45 billion, the biggest stories are all global plays (Uber and Airbnb among them). More and more are headquartered closer to the fastest growing markets and/or talent bases outside Silicon Valley: India’s Flipkart (an online retailer), Sweden’s Spotify, Coupon (a South Korea e-commerce business), or Global Fashion Group (an e-business focused on apparel serving 24 countries based in London). Innovators can be literally anywhere, building apps and businesses North Americans never see or even hear of.

So is innovation slowing own? I think it makes sense to set a baseline: a huge percentage of human codified knowledge is now online, often for free. Many, soon most, adults on the planet have a networked supercomputer close at hand, often in a pocket or purse. Everyone with these devices knows exactly where he or she is at any time; can reach millions or billions with a tweet, a post, or a blog; and can capture and watch high-definition video and still images. That’s our baseline of “interesting,” which has to count for something. At the same time, we still burn coal and petroleum for most of our mobility and much of our illumination, train service is pathetic in much of the world, and human life expectancy extension may be slowing down or even reversing. In the narrow realm of content, E-book sales are slowing, vinyl LP sales are expanding rapidly off a very small base, and even cassette tapes are in favor among some hip populations. 

Do we measure innovation by the magnitude of problems we have solved, or by the frontiers left relatively unconquered? Is the IPO success of an online merchant important for quality of life, relative to the possibilities for telemedicine or Kenya’s mobile banking success? As usual, “it depends” sounds like a copout, and maybe it is, but I do long for the days when hardware, software, and services for the “average” North American were new, exciting, and a bit rough around the edges as compared to the tech landscape of the media and entertainment period we currently inhabit.

Saturday, December 31, 2016

Early Indications December 2016: The Future of Aging


We grow too soon old and too late smart.
      -Proverb variously attributed to Swedes, Germans, and Dutch

While it is common to note that the U.S. worships youth and beauty in contrast to other cultures that revere age and wisdom, the demographic tidal wave that is the baby boomer generation will change aging just as it changed higher education (the explosion of college attendance), childrearing norms (compare baby strollers and birthday parties in 1960 and 1980), family structure (marriage rates have plummeted since World War II), the workplace (cube farms), and the built landscape (McMansions). Speaking only of the U.S., and not of those wise Dutch, German, Swedish, or Chinese elders, what will we see in the next 25 years? The short answer: lots of big changes.

-Medical breakthroughs
When life expectancy was shorter, body and mind wore out at more or less the same rate. As life expectancy increases, dementia, on one hand, as well as crippling orthopedic and spinal conditions both increase in likelihood: the possibility of mind failing before body, and body before mind, means that heartbreaking scenarios of both asymmetries are on the upswing. (See this.) Exoskeletons, 3D-printed artificial joints, and other mobility solutions can help with the latter class of conditions, while new Alzheimer’s and other dementia drugs are getting more attention, given the growing market need (see this). Just as fertility treatment advanced markedly in the baby boomer’s childbearing years, expect new medical miracles to address the aging process.

-Income
Whether or not the aged will be able to pay for these new medicines and devices remains an open question. Social Security is both underfunded and insufficient for a moderate lifestyle, pensions are less available and often underfunded for the public-sector employees lucky enough to get them, and the tab for the everyone-his-own-investment-analyst experiment known as the 401(k) defined contribution approach will soon be coming due. As of 2013, only 53% of U.S. families had a retirement plan, and of those aged 56-61, the median account was valued at only $17,000. The mean account value for that age cadre — $163,000 — is clearly boosted by a very few families with extensive or even adequate resources: in round numbers, a 65-year-old couple needs about $850,000 to generate $50,000 a year (the “average” U.S. income) for 20 years, assuming 1% inflation and 3% investment returns, not counting Social Security. Fidelity Investments estimates that same couple will pay $260,000 in out-of-pocket health care expenses, not counting nursing homes or related costs. (More here.) Most American families will not be able to afford to retire under the current rules.

The question then becomes, what happens? After rising for more than 50 years running, U.S. life expectancy might be dropping: earlier this month, the National Center for Health Statistics announced that death rates for 8 of the top 10 causes of death increased in 2015. Life expectancy at birth dropped about a month for women and 2+ months for men. One year does not a trend make, but it’s possible we could be seeing an effect of the growth in income/wealth disparity that has characterized so much of American life in the past 30 years: one hypothesized cause of an increase in death rates for white middle-age people is the increase in so-called diseases of despair: alcoholism, overdoses, and suicide. Whether through despair, diet/lifestyle, or limited access to care, financial stress and low income most likely reduce life expectancy. 

-Safety nets
So if life is getting harder, life expectancy lasts 20+ years beyond age-65 retirement, and savings are minuscule, what will government do? One colleague of mine suggests that Medicare could expand to include food stamps or some other nutrition component. Perhaps there will be wider calls for a public option for health care coverage. Social Security was originally instituted in the Great Depression, and the nation is a very different place 80 years later: might government old-age insurance be redefined in the coming decade, especially given the coming bust in 401(k) assets relative to need? That bailout will dwarf both Wall Street’s and Detroit’s proppings-up after 2008. Will the retirement age will increased from 65 to reflect modern longevity? (In 1935, when Social Security was introduced, the U.S. life expectancy was 61; it is now about 79.) I can’t see the current collection of national safety nets — VA, Social Security, Medicare/Medicaid, disability, SNAP — being able to withstand another 10 years without being reworked.

-Living arrangements
The prevalence of 2 or 3 adult generations living in close proximity fell dramatically after World War II: the growth of suburbs filled with single-family detached-houses, with limited walkability, along with the rising number of nursing and retirement homes, meant that grandparents less commonly lived with their grandchildren. The numbers are difficult to track, given the changing makeup of care resources: adult day care, in-home service providers, nursing homes, and adult care communities can all overlap both in structure (a community agency can offer both adult day care and hospice, let’s say) as well as by person: transitions from one type of care to another are common as health needs change, offspring move in or out of town, spouses die, and finances change.

Multigenerational families are on the upswing in the U.S., and elders are part of the picture, but those aged 25-34 are moving in with their parents in stunning numbers. According to figures from the Pew Foundation, 11% of adults 25-34 lived in a multi-generational household in 1980. That proportion had more than doubled as of 2012, and by 2014, more young adults (18-34) lived with parents than with a spouse or significant other. As those unmarried millennials age, how will they change our assumptions about, and institutions related to, aging? Or will they marry in traditional numbers, only later? As the costs of aging rise, how will families, and real estate, adapt? How will Uber and, later, autonomous vehicles change where elders live and what they do with their days?

-Religious practice
The U.S. church landscape is changing profoundly. These changes matter for aging, insofar as churches are often providers of both formal and informal support networks, but aging matters for some churches, especially “mainstream” Protestantism. Consider that U.S. population grew 65% in the half-century between 1965 and 2015. In that same period, the Episcopal church lost 49% of its adherents, Presbyterians (PCUSA) 47%, and United Methodists 33%. Even among Roman Catholics, where membership pretty closely tracked population growth, parishes are closing: those 70 million self-described Catholics don’t attend Mass very often, statistically speaking. Catholics also have a supply-side issue getting men to join the priesthood; staffing parishes is a problem for many denominations, especially those without access to women clergy. Another side effect of the drop in mainstream church membership and attendance relates to the growth of towns and cities: those 19th-century church buildings are often located in prime real estate at the same time that maintenance and heating costs for big, old buildings with creaking structure and infrastructure (wiring, plumbing, HVAC) are non-trivial. The continuing shift in American church affiliation will affect both the look of our cities and the delivery of social services to many, including the aged.
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It should be clear that demographics, medical science, social institutions, government programs, religious faith, and technological change are wound together into a yarn ball: telecommuting and Uber will let people who can’t drive work at jobs they currently can’t get to. A stock-market decline could wipe out even more people than were decimated by 2008, given how many more baby boomers are out of the work force since then, making sharing living quarters a necessity. Older people feel more vulnerable, and scams of various sorts prey on many of them, including politicians, at the same time that elders are outliving their churches. Social networks facilitate the spread of fake news, rumors, and other misinformation, both frightening people further and making real solutions harder to design and implement. Jobs and work tasks are changing incredibly fast, making older expensive workers expendable, yet intellectual capital is leaving U.S. companies via retirement (particularly in process manufacturing) without clear backup plans in place. With so many strands to the issue, no single initiative can be considered in isolation; the side effects of policy (think of the home mortgage interest exemption as just one example) are often nearly as important as the primary objectives. Whether it’s robotics, social networks, autonomous vehicles, or telepresence for work or family ties, the new elderly will be key factors in many technological waves of the coming decades. 

Wednesday, November 30, 2016

Early Indications November 2016: Beyond Party Realignment?

At the risk of getting confused for a political scientist or Beltway blogger, I want to look at the recent US and UK elections through the lens of technology and media rather than interest groups, policy, or even candidates. We are in the midst of a fundamental transformation at the global level, and the way information and opinions move among people (I’m not sure the word “audience” is solid any more) is changing a wide variety of institutions. Political parties are among them.

Let’s start with the basics. According to a standard US government textbook, a political party has several functions:

-To select candidates, formally through primaries and informally through social and organizational networks at local, state, and national levels
-To gather support for the party through media, organizing, and mobilization efforts
-To organize representatives in legislatures, in part by ideological and policy stand-To synthesize ideas into party platforms and other points of view that can function like a brand to lower information costs.

In the UK and US, founding documents made no provision for parties; the Labour party only dates to 1900, while in the US, political parties weren’t major factors for the first 50 years after the America evolution. After World War II, US political scientists had about a century of experience to analyze, and led by Harvard’s V.O. Key, some argued for a notion of party “realignment.” Key saw the beginnings of Franklin Roosevelt’s era of Democratic rule in the 1928 election, in which the Catholic Democrat Al Smith lost to Herbert Hoover while performing well in the urban Northeast where Republicans had historically been strong.

As John Judis notes in The Washington Post, in 1967 the MIT political scientist Walter Dean Burnham built on Key’s concept and predicted that party realignments would happen every 30 or 40 years; it’s what the US has instead of revolutions, he posited. Richard Nixon’s victory in 1968 was another turning point as Republicans captured many Southern voters dissatisfied with racial integration and other aspects of the Kennedy/Johnson years. Did Bill Clinton usher in a new era in 1994? Or is instability now the dominant motif, given the disconnect in the number of Republican governors with the Obama presidency, the large numbers of women and Latin voters who sided with Donald Trump, and the surprising success of the two party outsiders — Trump and Bernie Sanders — who reshaped the 2016 election from outside party orthodoxy and even affiliation. (As of 2008 Trump was registered as a Democrat; Sanders is officially an independent and describes himself as a democratic socialist.)

Judis applies conventional political logic to argue whether 2016 is a realignment or what others have called a “recalibration,” but I am taking a different tack: the power of social media, the broken economics of the news industry, and the loss of critical thinking amidst the identity politics that follows in the wake of those two developments point to another reading. Given both Brexit and the Trump victory, as well as various European struggles to reconcile national identity with global economics (burqa bans, austerity debates, free speech battles involving cartoonists), I’m suggesting that the political party itself is facing an existential challenge: realignment marks a change in what parties stand for; I’m suggesting parties must redefine what they do.

Let’s go back to those functions of a party:

In terms of selecting a candidate, the Republican party establishment did not “choose” President-elect Trump. In terms of governing, the Republican party platform is not the guidebook for the Trump presidency, particularly on foreign affairs. And in terms of branding, the Trump campaign was run in many ways as a repudiation of the Republican party, instead building on the candidate’s media experience and personal brand. The free airtime granted by cable news and print media amounted to far more exposure than ads could have generated, and Trump’s wide and confrontational use of social media made it a factor in ways it never has before. How the president-elect manages traditional media (will there be more YouTube announcements?) and a so-far not-very-presidential Twitter feed will be of critical importance. The traditionally symbiotic relationship between news media and elected officials, stalwarts of their parties, is eroding from both sides. The many contradictions embodied in the White House Corespondents’ Dinner may soon fracture that institution, for example.

Going forward, Brexit and the US election both suggest that lowered barriers to media access have unintended consequences. The founding mission statement of The Economist, dating from 1843, asserts that the periodical was intended to participate “in a severe contest between intelligence, which presses forward, and an unworthy, timid ignorance obstructing our progress.” This same thinking, phrased less ornately, can be said to have motivated the early World Wide Web: if knowledge can be more widely disseminated, humanity will benefit. As uncontroversial as that might seem, Internet history fails to bear out the optimism. Cat videos were massively popular, cute, and pretty harmless; “fake news” was more popular on Facebook than fact and deeply dangerous; ethnic and racial harassment via social media, sometimes by software bots, is another threat to civil society.

Echo chambers are a major factor in modern Western political discourse; and what echoes is often patently false. As Jack Burden learned while watching Willie Stark (the barely disguised Huey Long) numb audiences with his tax plan in Robert Penn Warren’s brilliant novel All the King’s Men, policy rarely incites a crowd. The Trump campaign was light and often inconsistent on policy details, but between the pre-existing television persona of a decisive “boss” who fires people with delight and long-smoldering dissatisfaction among the white working class mobilized at rage-fueled rallies, policy wasn’t the main attraction. Dispensing with party orthodoxy was seen not as a flaw but a feature of the outsider campaign: making America great “again” allowed sympathetic voters to fill in the blank with a nostalgic evocation of whatever period they liked, concrete details be damned. That news media repeated the slogan literally millions of times without pinning down the candidate is one legacy of this peculiar election.

In both the US and UK, the question of “now what?” looms large. Decrying orthodoxy, winning elections with outright lies and racial antagonism, and economic consequences of rejecting the norms of globalization have unintended consequences yet to be discovered. In such a landscape, what is the role and function of a political party? Where is the “farm system” of candidates for 2018, 2020, and beyond — for both major US parties? Will 2016 mark the end of the Clinton-Bush era of semi-dynastic candidacies? If so, who will step up and — much more important — how will they do so? By adopting the Trump (and Huey Long) playbook of us-against-them? Or by simultaneously innovating and drawing on the deep history of US optimism, national pride, and civic decency?

From the party perspective: Is grass-roots organizing no longer worth the investment, especially as industrial labor unions continue to decline? Will facts continue to be so widely and enthusiastically disregarded in favor of appealing social media/cable TV nuggets? Can good people be persuaded to enter the fray of personal attacks, physical intimidation (especially of females), and lack of compromise, whether for city council, state auditor, or Congress? Will the Republican vision of minority outreach, articulated in the 2012 postmortem, gain traction as white voters continue to decrease as a percentage of the electorate? Can Democrats articulate a compelling alternative to Trumpism rather than only reacting vigorously (crying wolf?) to everything that emanates from this presidency — and unite behind a candidate who embodies that alternative? While Republican presidential hopefuls of all sorts and ages emerged in the 2015-16 cycle, Democrats need to rejuvenate: Hillary Clinton is 69 years old, Bernie Sanders is 75, and Elizabeth Warren is 67. 

From the media perspective: Can Facebook and Twitter police the misuse of their services, or will monetization of clicks continue to drive profitable lying, regardless of its costs to democracy? How will news and semi-news organizations (cable channels especially don’t typically win Pulitzers) adapt to the unprecedented behavior of President Trump? What, in 2017, is “the public interest”? Who can be trusted to monitor and nurture it?

Most centrally, what will people be talking about four years from now, in the aftermath of the 2020 election? Will parties reinvent their mission, or will social media amplify single-issue politics, leveraging the highly salient yet divisive “solutions” we saw in 2016? Can politics regain some of its luster as a call to civic service, in part through revitalized parties, or are we being pulled into ever more cynical directions by the sound bites of fear-mongering opportunists who don’t have and don’t need a party organization to help them succeed? Can a new kind of news media business model emerge to pay for the kinds of reporting an informed electorate requires? None of these questions have simple answers, but the costs of not addressing them could not be any higher.

Monday, October 31, 2016

Early Indications October 2016: What's Ahead for Higher Education?

First things first: my Robots book was published by MIT Press a couple weeks ago. I worked with a wonderful team there; among other things, the cover art is far better than any other book I’ve done since the millennium. I hope we can team up on another project in the future.
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I last wrote about higher education in September 2009, and upon revisiting the piece, it has held up pretty well.

That said, the landscape has shifted dramatically in the intervening years, so in this newsletter I will address the new issues, with some reiteration of past themes. In a nutshell, colleges face a potentially crippling combination of being locked into existing infrastructure-heavy business models in the face of alternative delivery practices, unsustainable cost increases, and extreme mission creep. Trying to be so many things to so many constituencies, using an expensive/inefficient physical plant and headcount under massively bureaucratic management, will fail as online education gets better and better at the same time that student loan debt hits critical mass.

Hypothesis 1: College is unique
College is a unique element of most societies. Using the US model, which is not fully representative but widely emulated, consider:

1) For what other service are there both private and state alternatives from which to choose? Not police forces, drug certification, roads, Cabinet departments, or militaries.

2) In what other transaction does the buyer (and buyer's parents) lay bare their finances before being told how much the service will cost?

3) In what other transaction, especially one costing so much, are yardsticks a) not agreed on and b) difficult to obtain? I know roughly how much my house cost the previous buyer, how its property taxes compare to those of neighboring properties, and even how its electric bill compares to peer properties. Buying a car, I can see some facsimile of dealer invoice price, EPA fuel economy performance, if a used car has been in a collision, and even what parts tend to break at what mileages. Buyers know surprisingly little about such an important investment.

Hypothesis 2: The many missions of a college/university can expand and conflict

College is idiosyncratic in many regards, no more so than in its many and often competing definitions of success. Does a successful college education

- further upward economic mobility?

- teach a graduate a marketable skill for a first job?

- turn a child into an adult?

- prepare a person to ask the enduring questions of the world, its institutions, and oneself?

- teach a graduate how to learn and adapt his/her skills to a changing job market?

- teach a specialized body of knowledge so civil engineers, accountants, and English teachers can join their respective guilds?

- teach general skills that one should possess regardless of occupation, such as financial literacy, critical thinking and writing, and civic/historical awareness?

- endow the graduate with social experiences and friendships that will endure over time?

- teach awareness of and respect for people and traditions different from one's own?

That list, for all its complexity and internal competition, addresses but one university constituency: undergraduate students. There are more players: alumni, corporate research sponsors, state economic development authorities, employees, graduate and professional-school students, farmers and other consumers of agricultural extension expertise, patients at the medical center, fans of the school's football or basketball teams, municipalities paid something similar to property taxes (but not quite), and the makers and buyers of things that universities can help certify, whether meat and dairy products, nurses, or STEM curricula. What is the priority of these many groups? Who sets the pecking order?

Hypothesis 3: Undergraduate education is getting lost in the shuffle
So colleges have seen their scope of activity explode. Rather than try to sort through all the constituencies, let’s return to the erstwhile purpose of college, the undergraduate experience. Richard DeMillo sees higher education from multiple perspectives and currently works at Georgia Tech at a research center for the future of higher education. His recent book, Revolution in Higher Education (MIT Press), is well worth reading. In it, he raises five questions:

1) Does an institution serve the people it is supposed to serve?
2) Are there among a university’s graduates a sufficiently large number of successful and influential alumni to warrant a second look at what is being done to achieve those results?
3) Besides the visible success stories, what happens to most graduates once they get their degrees?
4) What, exactly, do students learn?
5) How important is an institution to the city or region?

Since that last newsletter in 2009, U.S. student loan debt has exploded, in part because of fraudulent or dishonest practices by for-profit colleges that have high rates of loan acceptance, degree non-completion, and loan defaults. Overall, U.S. student loan debt has more than quintupled since 2000: from $250 billion to more than a trillion today. For-profit colleges are heavily over-represented on the list of “leaders” - the University of Phoenix has seen its loans increase 17-fold in that same period.

What is a “typical” college experience today? A mid-range state university, a Western Michigan or Kansas State? Part-time and/or online, whether Phoenix or Southern New Hampshire? The public research powerhouses — Cal Berkeley, Michigan, Texas, et al — teach a lot of students but a) represent a small percentage of total enrollment and b) have distinctive strengths and weaknesses. One thing is certain: the private liberal arts colleges where many members of the media went to school (a Syracuse, a Williams, or an Ivy let’s say) are neither representative nor “average.” A Five Thirty Eight post — “Shut Up About Harvard” — from March is required reading on this topic: many people, but especially those in the media, focus on elite or very good schools because that’s what they saw. But Harvard’s tiny entering class isn’t representative of the larger experience, with its high 4-year graduation rate, lack of athletic scholarships, lack of loan debt (all aid is grants at several Ivies), no part-time students, small numbers of military veterans, etc.  The other big change is the rise of new models for online learning: Udacity, Coursera, EdX, Khan Academy, and others. DeMillo names the perfect storm:

A) More students are starting college than ever before.
B) Fewer students (on a percentage basis) are completing degrees than ever before.
C) College costs are cursed by “Baumol’s disease,” an economic theory positing that many service industries can raise costs without raising productivity. In U.S. universities, labor-related costs (including health care and overall headcount) have risen faster than inflation although most university salaries have not, and a school’s tuition usually reflects this imbalance.
D) Output measures are hard to collect, hard to interpret, and hard for the public to find. Something as simple as “what did a student learn“ is not well understood, especially across heterogeneous populations, and not widely collected. Debt loads, starting salaries, and subsequent education (such as law or business school) are tracked loosely at best, and not at all in many cases, and then not prominently reported to prospective students at many institutions. Do English majors at Florida State do better, employment-wise, than marketing majors at LSU? Few people know, though many have opinions and/or anecdotes.
E) Technological change reshapes entire occupational categories faster than colleges can react. I just saw last week that someone advocated cutting off radiology training in medical schools “because in five years deep learning will have better performance.”

Hypothesis 4: The magnitude and complexity of the challenge dwarfs the caliber of post-graduate leadership and innovation

Thus we have multiple dilemmas facing U.S. universities. Costs keep rising, in part driven by the pursuit of an elusive notion of “prestige,” while tuition increases cannot outrun inflation for very much longer. By taking on so many missions beyond undergraduate education, colleges build bureaucratic fortresses that duplicate effort and impede both efficiency and collaboration. Online learning promises a cure to Baumol’s disease via simultaneous scaling and personalization, but organizational models (including factors such as accreditation) make implementation within traditional brick-and-mortar incentive models problematic. (A case in point: what is an online credit hour if there is no classroom where, in a 3-credit course, people convene TuTh from 9:00-10:30?) University investments in the physical experience double down on dorms, student unions, gyms, and sports programs, ignoring or wishing away the oncoming online locomotive. An emphasis on STEM or even STEAM (science, technology, engineering, arts, and math) doesn’t prepare students for what startup consultants Burning Glass call hybrid jobs: engineers who need to write proposals, nurses who supervise people, statisticians who need to analyze cultural differences. Political rhetoric notwithstanding, core liberal-arts training does not become irrelevant even as technical and quantitative skills gain in importance.

What’s next? Three questions:

1) Where will university leadership develop the sophistication, foresight, and boldness to reinvent the basic model of research, tenure, teaching, and testing that dates primarily from the 1880s, imported to the U.S. from Germany? 20 years ago, I heard a great parable that makes the point:

Leonardo da Vinci walks into an airplane hangar and sees both a Boeing 747 and an SR-71 Blackbird and cannot believe what happened to his conception of powered flight. Gutenberg sees Adobe Creative Suite, with Photoshop, Illustrator, and the rest of the software, and cannot believe what happened to printing presses. Ben Franklin walks into a modern school building, sees desks in rows, chalk, and blackboards, and says, “hey that’s a classroom.”

Another parable: when asked the purpose of the modern university, University of California president Clark Kerr said "to provide sex for the students, parking for the faculty, and football for the alumni." He said that 50 years ago, and his advice is still pretty widely followed. Who is our generation's Clark Kerr?

2) What alternatives can emerge to the ubiquitous 4-year undergraduate degree, lowering costs, increasing access, and improving performance of the system, including delivering lifelong learning in whatever field a person might work? (Why has 4 years become some sort of magic number, given how little we know of learning mechanisms and outcomes?)

3) Where can we have a serious conversation about the role and purpose of different types of college experience, ranging from education and training (they are two different things) in critical thinking, financial literacy, basic citizenship, Great Western and other cultural traditions, math and science fundamentals, preparation for entrepreneurship, and learning both to think abstractly and solve concrete problems. No education can do all of these well; some should do each of them as a point of distinction, without ignoring all the rest.

For all my passion in this domain, I’m glad I’m not king for a day, charged with slicing the Gordian knot: these are worthy challenges that deserve hard choices, broad participation, and above all, moral courage. Where will we find the people who can lead such a quest?

Sunday, October 02, 2016

Early Indications September 2016: Welcome to Dystopia?

If you’re an author with a knack for conjuring up nightmare scenarios, these are in fact the best of times: George R. R. Martin (Game of Thrones) and Suzanne Collins (The Hunger Games) are absolutely rolling in money and fame. There’s something going on when bleak futures capture national mindshare in books, TV shows, and movies. Look at 1963: with far fewer options, mass audiences converged on distraction. Shows such as Petticoat Junction, Candid Camera, and My Favorite Martian made the top ten, all lagging The Beverly Hillbillies and Bonanza. In 1968, with riots in the streets and the assassinations of Robert Kennedy and Martin Luther King calling the American ideal into question, Bonanza hung in at #3, behind Gomer Pyle U.S.M.C. and Rowan and Martin’s Laugh-in. That Stanley Kubrick was able to confront the madness of nuclear war with the brilliant black comedy of Dr. Strangelove (1964) helps prove the point: dystopias have historically been uncommon cultural touchstones; now they’re everywhere.

Could it be that these cultural artifacts capture our zeitgeist? Whether in the Dark Knight Batman films, The Wire, Breaking Bad, or The Sopranos, our most popular entertainments of the past 15 years present a pretty bleak vision, diametrically opposed to new deals, new frontiers, or “Don’t Stop Thinking About Tomorrow” campaign songs. Along the dystopian line of thinking, it’s easy to find evidence that the world is heading in a very bad direction. A gloomy sample:

*Ocean levels are rising faster than predicted, but the local effects in New York, Miami, the Netherlands, and Bangladesh will all vary considerably. Millions of people will be displaced; where will they go? Norfolk Naval Base will lose acres of land, how fast nobody knows.

*What appears to be the single largest distributed denial of service (DDoS) cyber-attack was mounted earlier this month using at least 150,000 compromised cameras and other poorly secured Internet of Things (IoT) devices. It’s quite possible our cars, garage-door openers, thermostats, and personal devices can be turned against us.

*Guns kill a lot of people in the U.S. Exactly how many is hard to determine, in part because the gun lobby discourages public health officials from calculating statistics. But whether it is suicides (20,000 a year, or 2/3 of all gun deaths), mass shootings, police violence against citizens, or the average of 82 shootings per week in Chicago alone, the numbers are depressing but apparently acceptable, given the lack of action. One statistic provides food for thought. Despite its wide error range, a Harvard study released earlier this month estimated (a key word) that 7.7 million people (3% of U.S. adults) own half the country’s guns. These “super-owners” collect between 8 and 140 firearms apiece.

*Globally, millions of people are being lifted out of poverty, but in the U.S., tens of millions of middle-class people find their fates stuck or, increasingly, declining. Whether from plant closures, downsizing, inadequate skills, offshoring, or automation’s various effects, people can’t get ahead the way previous generations did. For many, complex reasons, class conflict is showing itself in various ways: racial tensions, protests in places like San Francisco where homelessness and extreme wealth collide, and anti-trade sentiment. Immigration and refugees are super-sensitive issues from Turkey to British Columbia.

*At the same time that Colorado and Washington state are finding benefits of legal marijuana, recreational drugs are killing people. In addition to the violence in Chicago noted above, some of which is drug-related, the toll of opioid drugs is shocking. Especially when heroin is cut with fentanyl, overdoses are swamping local EMS and other responders. Columbus saw 27 in 24 hours, while Cincinnati had to cope with 174 heroin overdoses in 6 days. Huntington, WV had calls for 27 overdoses in under four hours last month. Prescription oxycontin was likely a tragic gateway drug in many of these cases. “Just say no” and a “war” on drugs clearly didn’t work; what’s next?

*On the ethical drug front, meanwhile, we live in scary times. Antibiotic-resistant “superbugs” are making hospitalization in any country a frightening proposition. As of 2013, 58,000 babies died of antibiotic-resistant infections in India alone, and in a global age of travel, those bacterial strains are moving elsewhere. An estimated 23,000 people died in the US last year from antibiotic-resistant infections, and just this past May, the CDC reported that a Pennsylvania woman who had not recently traveled out of the country tested positive for the mcr-1 strain of E. coli. This variant resists colistin, widely regarded as the “last resort” antibiotic, though the woman in question _did_ respond to other treatments. Still, the CDC’s language is sobering: “The CDC and federal partners have been hunting for this gene in the U.S. ever since its emergence in China in 2015. . . . The presence of the mcr-1 gene, however, and its ability to share its colistin resistance with other bacteria such as CRE raise the risk that pan-resistant bacteria could develop.”

None of these problems have easy answers; some don’t even have hugely difficult answers. Zeroing in on the technology-related world (thus leaving aside climate change, gun violence, and drug issues for the moment), I see four nasty paradoxes that, taken together, might explain some of how we arrived at a juncture where dystopian fantasies might resonate.

1) Automation brings leisure and productivity; robotics threatens to make many job categories obsolete. From radiologists to truck drivers to equity analysts, jobs in every sector are threatened with extinction.The task of making sure technologies of artificial muscle and cognition have widely rather than narrowly shared benefits runs counter to many management truisms regarding shareholder value, return on investment, and optimization.

2) We live in a time of unprecedented connection as most adults on the planet have access to a phone and will soon get smartphones; interpersonal dynamics are often characterized by savagery (at worst) or distractedness. (Google “Palmer Luckey” for a case in point.) Inside families and similar relationships, meanwhile, the psychologist Sherry Turtle argues persuasively that we are failing each other, and especially our kids, when we interact too much with screens and too little with flesh-and-blood humans.

3) The World Wide Web brought vast stores of the world’s cultural and scientific knowledge to masses of people; a frightening amount of public debate is now “post-factual,” with conspiracy theories and plain old ignorance gaining large audiences. Climate science, GMO crops, and vaccinations are but three examples. The assumptions behind the Web have too often failed: access to knowledge by itself cannot counter fads (hello Justin Bieber), longstanding ignorance, or intolerance. Compare the traffic to YouTube or Facebook with that to the Library of Congress, Internet Archive, or even Wikipedia. At some level, maybe people don’t like eating their intellectual vegetables; junk food is too hard to resist.

4) Billions of sensors, smartphones, and cloud computing virtual machines enable an increasingly real-time world, where information flows faster and wider every year; historical context is lacking for many public assertions and private opinions. In September, a Republican party official claimed there was no racism before 2008. For years, only a minority of people have been able to identify in which century the American revolution or Civil War occurred. Nuanced views of Reconstruction or the Gilded Age, hugely formative of and relevant to today, are difficult to find.

Together, these paradoxes add up to a truly dystopian vision at odds with what seemed inevitable just a few years ago. It’s difficult to be optimistic, but to close I’ll suggest some reasons why solutions are so difficult.

*The digital world doesn’t respect traditional organizational boundaries. Examples abound: Russia is said to be meddling in the US election cycle. Certainly the superpowers have influenced local elections in the past, but the thought of major media outlets and voting machines being compromised by a global adversary calls the whole notion of sovereignty into question. Whether it’s in regard to spam, child porn, copyright, compromised hardware at the chipset level, digital privacy, or the handling of video and music streaming, the global, borderless nature of the mobile/digital platforms calls basic facts of jurisdiction, evidence, and recourse into question.

*At the same time that “where” needs to be redefined, so too we must confront what work is. Who does what, how much they are paid or otherwise valued, how they learn the job, what happens when jobs or entire labor markets disappear — none of our current answers can be assumed to hold stable 10 years from now. Education, unemployment and disability benefits, collective bargaining, workplace health and safety (does sitting really “kill” you?), pensions, internships, retirement, job-hunting, and corporate education and training will all assume new shapes. Some of this will be messy; I can’t see anyone getting it all right the first time.

*Technologies of communication and transportation have usually been a double-edged sword. Trade brings benefits to many parties, but smallpox, influenza, and the AIDS virus all crossed oceans on new modes of transport. Given the essentially free, multimedia, borderless nature of digital communications, what equivalent maladies will be given broad distribution, and what will be their consequences?

*In a pluralistic world, what can serve as a moral compass for an individual, a group, a nation, a continent? The teachings of Muhammad, Jesus, Yahweh, Confucius, and the Buddha all have served to guide people over the centuries, but so too have they justified crimes against humanity. We live in a connected world where religious conflict becomes more likely than in eras with less physical mobility. Given global communications and mobility, how is coexistence possible, given increases in both fundamentalism and secularism in many places, and the ongoing tendency for the major religions to splinter internally, often violently? In a post-factual world, people try to claim their own beliefs, but without sufficiently binding notions of a common identity, purpose, or ideology, we are left less with states of free-thinkers than with new sources of conflict — and fewer resources for building group identity.

To be sure, there are many hopeful signals, and plenty of today’s entertainment is mindless diversion not unlike the television hits of the 1960s. That dystopias can find audiences may be more a function of the multitude of distribution options than of national mood. In any event, I do believe the challenges we confront will test moral resolve, institutional flexibility, and intellectual creativity unlike ever before. It may be that meta-questions are in order: rather than asking how we solve internet security or rising ocean levels, we (a tricky word all on its own) need to ask, what are the political forms, grounds of legitimacy, and resources of the institutions we will design to address these new challenges.

Wednesday, August 31, 2016

Early Indications August 2016: The Next Car

About 125 years ago, when the internal combustion engine supplanted equine power for personal mobility, there was much talk regarding “horseless carriages,” defining the future in terms of the past. We are at much the same juncture today: as electric autonomous vehicles come closer and closer to mass-market availability, much of the conversation starts with what we know human drivers do: “How will self-driving cars avoid bicyclists? How will self-driving cars merge in construction zones? How will self-driving cars make left turns across oncoming traffic with solar glare?” All of these questions must be answered, of course, but I believe it’s not too early to ask what we want of the _next_ car, the one(s) with a largely new set of constraints and capabilities. That is, given a clean-sheet design, what are some questions we might ask? Here are three among many.

1) How do we balance autonomy with “mesh transportation”?

By definition, a driver in a car is largely autonomous and disconnected from the cognition of those around; “what was he thinking?” is a common complaint while observing other drivers. The person at the wheel can follow or ignore traffic laws, brake suddenly or gradually, act with awareness of other vehicles or possess limited situational awareness. There are many consequences of this autonomy: cars have long been associated with personal “freedom,” traffic flows in an annoying and predictable accordion pattern in congested stretches of highway, and of course accidents happen when driver A somehow surprises driver B.

Once driverless vehicles constitute some critical mass of traffic, however, that assumption of autonomy can be challenged. My current frame of reference is a mesh wireless network, a potentially peer-to-peer ad hoc configuration of cars both interacting with vehicles close to them and serving as repeaters for less proximate “nodes.” A simple scenario started my thinking: what if a truck stuck in traffic wanted to see the sensor feed from the car at the front of the pack? Already, Samsung has shown a heavy truck with an LCD display on the rear showing the view out the windshield. Once my vehicle can “see” the sensors n cars ahead, what else can happen?

Although sensor-driven autonomous vehicles are getting substantial attention from Uber, Google, and Tesla, the notions of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) are also gaining mindshare. Already emergency vehicles can trigger stoplights at some intersections (green for the ambulance, red for the cross-streets), it doesn’t require an enormous leap of imagination to get to cars addressing and listening to the signaling infrastructure: why train a self-driving car to understand (or memorize) speed-limit signs when the information could be available via wireless beacons? The appeal of V2V is obvious, as per the “what was he thinking?“ scenario above: if vehicle A can signal intent with more lead time, more consistently, to more of the relevant peers and bystanders, the safer matters should become.

For years, European companies have been trialing road trains: a lead heavy truck invites close followers (who hand control off to a wi-fi network) to ride in its wake. The tighter following distances improve fuel economy and free drivers to attend to less mundane chores. Now what happens when self-driving vehicles can self-assemble? If 8 or 10 cars and trucks all enter I-95 from around Princeton going northbound, what if they form a road train until the first of the vehicles comes to its exit? And what if there’s a mechanical connection, like those magnets on wooden train sets? Road utilization improves, fuel economy improves, and the lack of human drivers means nobody is bothered by the unappealing view of the vehicle ahead.

Given the currently lousy security of Internet of Things things in general, and of wireless car systems in particular, for this mesh-vehicle future to be safe, there will need to be massive strides in, and probably complete rethinking of, security practices. This means clearly understanding the trade-offs that are being asked and granted. The security domain thus echoes the larger debate that will emerge as to what vehicles can and cannot, should and should not, tell and learn in interaction with other vehicles and the world.

2) What happens when cars don’t project personal identity?

I know something of my readership. You’ve driven stealth M3s, E-types, Z06 Vettes, and of course 911s. This is not mass-market car-dom, but the extreme proves my point. In many cases, vehicles are designed as much as a projection of the owner’s psyche as they are for road performance. Compare a Suburban to a minivan, or a new pickup truck to a 30-year-old version. Absent towing capacity, the functional performance may be similar but the features, price (I didn’t say cost: GM builds massive profit into that Suburban), and enhancement of one’s personal brand are very different.

Auto executives have already begun publicly worrying about vehicles designed and sold only as appliances: if people buy transportation as a service rather than as a product, the design remit changes. As a rider, I certainly prefer the S-class Mercedes taxis common in Europe to the cramped Priuses (Prii?) I get in US cities. Do I insist on a certain type of car to haul me around, especially when nobody will see it in my driveway either way? No way. Once autonomous vehicles are optimized for whatever we decide to optimize (please make the London taxi one of the blueprints . . .), conspicuous consumption will fall far down the list, particularly for mass-market cars and trucks. (Read more here and here.)

3) What happens if safety is reset to a higher priority?

There’s a famous assignment given to engineering students: design a protective enclosure such that the egg inside it can survive a fall of a specified height. I thought of it immediately when I saw this effort by an MIT team to understand safety trade-offs to be encoded in autonomous vehicle algorithms.

Why the egg drop? All of the Moral Machine scenarios embed numerous assumptions; I wanted to challenge those, not take them as given. The passenger cocoon could be one such: when we design, license, and support different vehicle designs, what do we want optimized?  Should pedestrian safety be a higher priority than what happens to a car’s passengers? Why or why not? To give an example, Google has a patent on a flypaper-like technology to snag people on car hoods after they’ve been struck. How will we set the weights of protection for passengers, cargo, pedestrians, bicyclists, driveway shrubbery, and other features of the driving environment? How much will this be done by markets, how much self-policing will we see, and how much government regulation will be imposed?

If safety is a higher priority than it is today, why have windows at all? Boeing has suggested replacing airplane windows with display screens, so why not equip cars the same way? At the same time, if passengers are cosseted in metal tank-like vehicles, what unintended consequences could there be for driving algorithms, bystanders, and even fast-food restaurants?

Just as interstate highways, McDonald's, and suburban sprawl could not have been foreseen by Daimler, Ford, and Durant, we will see parallel discontinuities in the coming century. Railroad ownership, to take one example, went from being the source of massive wealth and prestige (as with Stanford or Vanderbilt) to a joke (Conrail) in a relative short time. Entirely new ancillary services and industries emerged, and may now recede: will anyone become a billionaire owning parking lots in the next 30 years?

A key question relates, as it always does, to the speed of the transition. From an engineering standpoint, designing a world of only autonomous vehicles would be relatively easy; similarly, we know how to build roads, vehicles, and venues for cars with people driving them. The mixed zone, to borrow a term from the Olympics, is what we currently face, and it’s one hard problem on top of another:

What are the business models? (Google is struggling with this as I write, having replaced a respected-but-departed roboticist with an AirBnB executive to run the car project.) Who bears liability? Who pays to upgrade the infrastructure, whether to fill potholes or install beacons in road signs? What signaling conventions can carry over and what new ones need to be designed; can the camera of a self-driving truck reliably see a turn signal or is a radio message more appropriate? Where will trusted suppliers come from (Panasonic, a partner in Tesla’s battery factory, is emerging as a big player in the global automotive ecosystem, for example)? What about car loan companies, service bays, and other businesses whose mission will be redefined? How will gas stations as real estate, and oil companies as businesses, be forced to evolve (charging a battery takes a lot longer than filling a tank: how many 20-pump gas stations will become 20-plug chargers? Can local electric grids handle such concentration?) Which brands will win and lose? Why? How will human-driven cars fade into antiquity? Will valets, for example, be kept on for ceremonial value at high-end destinations? Which internal-combustion vehicles will have the longest carriers in the new era, and which will be most prized by collectors? What happens to the freed-up parking and other infrastructure? Does congestion pricing a) disappear or b) enter a new phase of complexity? What happens to municipal revenues dependent on traffic tickets? How will domestic architecture evolve without the need for the same size and type of garages? Where will housing be located relative to work? The list goes on, but suffice it to say, Detroit and its extended network is in for the shock of a lifetime.

Postscript: As I was wrapping up this newsletter, tech analyst Benedict Evans of Andreesen Horowitz posted a series of Tweets asking many of these same questions.