The U.S. Federal Communications Commission (FCC) recently gave SpaceX permission to build Starlink -- Elon Musk's version of satellite-based broadband Internet. The FCC specifically approved launching the first 4,425 of what will eventually total 11,925 satellites in orbit. To keep this license SpaceX has to launch at least 2,213 satellites within six years. The implications of this project are mind-boggling with the most important probably being that it will likely result in SpaceX crushing its space launch competitors, companies like Boeing and Lockheed Martin's United Launch Alliance (ULA) partnership as well as Jeff Bezos' Blue Origin.
Starlink is a hugely ambitious project. It isn't the first proposed Internet-in-the-sky. Back in the 1990s a Bill Gates-backed startup called Teledesic proposed to put 840 satellites in orbit to provide 10 megabit-per-second (mbps) broadband anywhere on Earth. Despite spending hundreds of millions, Teledesic was just ahead of its time, killed by a lack of cost-effective launch services. Twenty years later there are several Teledesic-like proposals, the most significant of which may be OneWeb -- variously 882 or 648 or 1972 satellites, depending who is talking, offering 50 mbps. OneWeb has raised more than $1 billion, found a launch partner in Arianespace and even broken ground on a satellite factory in Orlando, Florida.
Whatever happened to baby steps?
Last week a 49 year-old Arizona woman was hit and killed by an Uber self-driving car as she tried to walk her bicycle across a road. This first-ever fatal accident involving a self-driving vehicle and a pedestrian has caused both rethinking and finger-pointing in the emerging industry, with Uber temporarily halting tests while it figures out what went wrong and Google’s Waymo division claiming that its self-driving technology would have handled the same incident without injury. Maybe, but I think the more important question is whether these companies are even striving for the correct goal with their cars? I fear that they are over-reaching and simply trying to do too much too soon.
Facebook shares are taking it on the chin today as the Cambridge Analytica story unfolds and we learn just how insecure our Facebook data has been. The mainstream press has -- as usual -- understood only parts of what’s happening here. It’s actually worse than the press is saying. So I am going to take a hack at it here. Understand this isn’t an area where I am an expert, either, but having spent 40+ years writing about Silicon Valley, I’ve picked up some tidbits along the way that will probably give better perspective than what you’ve been reading elsewhere.
Much of this is old news. There are hundreds -- possibly thousands -- of companies that rely on Facebook data accessed through an Application Programming Interface (API) called the Graph API. These data are poorly protected and even more poorly policed. So the first parts of this story to dispel are the ideas that the personality test data obtained by Cambridge Analytica were in any way unusual or that keeping those data after their sell-by date was, either. That doesn’t necessarily make the original researcher without blame, but the Cambridge folks could have very easily found the same data elsewhere or even generated it themselves. It’s not that hard to do. And Facebook doesn’t have a way to make you throw it away (or even know that you haven’t), either.
I only met Stephen Hawking twice, both times in the same day. Hawking, who died a few hours ago, was one of the great physicists of any era. He wrote books, was the subject of a major movie about his early life, and of course survived longer than any other amyotrophic lateral sclerosis (ALS) sufferer, passing away at 76 while Lou Gehrig didn't even make it to 40. We’re about to be awash in Hawking tributes, so I want to share with you my short experience of the man and maybe give more depth to his character than we might take away from the evening news.
Several years ago I was booked to speak at a (pre-Intel) Window River Systems event at the Claremont Hotel in Oakland. The Claremont, like the Hotel Del Coronado in San Diego, is a huge old hotel built entirely of wood. Creaky old elevators and creaky old staircases connect all the floors but stairs are faster and I was in a hurry to give my speech because Jerry Fiddler was waiting. So I took the stairs two at a time then burst through a set of double doors and straight into…
The American Dream changed somehow in the 1970s when real wages for most of us began to stagnate when corrected for inflation and worker age. My best financial year ever was 2000 -- 18 years ago -- when was yours? This wasn’t a matter of productivity, either: workers were more productive every year, we just stopped being rewarded for it. There are many explanations of how this sad fact came to be and I am sure it’s a problem with several causes. But this column concerns one factor that generally isn’t touched-on by labor economists -- Wall Street greed.
Lawyers arguing in court present legal theories -- their ideas of how the world and the law intersect, and why this should mean their client is right and the other side is wrong. Proof of one legal theory over another comes in the form of a verdict or court decision. As a culture we have many theories about institutions and behaviors that aren’t so clear-cut in their validity tests (no courtroom, no jury) yet we cling to these theories to feel better about the ways we have chosen to live our lives. In American business, especially, one key theory is that the purpose of corporate enterprise is to "maximize shareholder value." Some take this even further and claim that such value maximization is the only reason a corporation exists. Watch CNBC or Fox Business News long enough and you’ll begin to believe this is God’s truth, but it’s not. It’s just a theory.
It’s time to wrap up all these 2018 predictions, so here are my final three in which Apple finds a new groove, IBM prepares for a leadership change, and Facebook’s Mark Zuckerberg gives up a dream.
Apple has long needed a new franchise. It’s been almost eight years since the iPad (Apple’s last new business) was introduced. Thanks to Donald Trump’s tax plan, Cupertino can probably stretch its stock market winning streak for another 2-3 years with cash repatriation, share buy-backs, dividend increases and cost reductions, but the company really needs another new $20+ billion business and it will take every one of those years to get a new one up to scale.
There’s a new Marvel superhero series on Fox called The Gifted that this week inspired my son Fallon, age 11, to predict the first Alexa virus, coming soon to an Amazon Echo, Echo Dot or Echo Show cloud device near you. Or maybe it will be a Google Home virus. Fallon’s point is that such a contagion is coming and there probably isn’t much any of us -- including both Amazon and Google -- can do to stop it.
The Gifted has characters from Marvel’s X-Men universe. They are the usual mutants but the novel twist in this series is that some of these particular mutants are able to combine their powers with terrible effect. They just hold hands, get angry, and it is mayhem squared.
Paul Saffo says that communication technologies historically take 30 years or more to find their true purpose. Just look at how the Internet today is different than it was back in 1988. I am beginning to think this idea applies also to new computing technologies like artificial intelligence (AI). We’re reading a lot lately about AI and I think 2018 is the year when AI becomes recognized for its much deeper purpose of asking questions, not just finding answers.
Some older readers may remember the AI bubble of the mid-1980s. Sand Hill Road venture capitalists invested (and lost) about $1 billion in AI startups that were generally touted as expert systems. An expert system attempted to computerize professional skills like reading mammograms or interpreting oil field seismic logs. Computers were cheaper than medical specialists or petroleum geologists, the startup founders reckoned, so replacing these professionals would not only save money, it would allow much broader application of their knowledge. Alas, it didn’t work for two reasons: 1) figuring-out how experts make decisions was way harder than the AI researchers expected, and; 2) even if you could fully explain the decision-making process it required a LOT more computing power than originally expected. Circa 1985 it probably was cheaper to hire a doctor than to run a program to replace one.
I’m sorry this year’s predictions seem to this point to mainly have to do with policies rather than products, but I don’t get to make the future, just predict it, and in this case I’m predicting that immigration reform will have little actual effect on H-1B visa abuse.
For those of you who aren’t already asleep I’ll start with the Cliff Notes version of the H-1B issue, which I have written about ad nauseam as you can read here (notice there are three pages of columns, so dig deep). H-1B is a U.S. immigration program to allow 65,000 foreign workers into the USA each year for up to six years, which means that at any moment there are almost 400,000 of these folks working at the desk next to yours. Some people claim that H-1Bs take jobs better filled by U.S. citizens and some feel that H-1Bs are essential for the functioning of technology industries that would otherwise be devoid of needed talent. I am clearly on the side of the former folks who see H-1Bs as a scam intended to take jobs away from, well, me.
2017 was a wild ride for cryptocurrencies and for Bitcoin in particular, rising in price at one point above $19,000 only to drop back to a bit over half of that number now. But which number is correct? If only the market can tell for sure -- and these numbers are coming straight from the market, remember -- what the heck does it all mean? It means Bitcoin isn’t a currency at all but traders are pretending that it is. 2018 will see investors finally figure this out.
Confusion abounds, so let’s cut through the crap with an analogy. Cryptocurrencies like Bitcoin, Ethereum and a ton of others operate almost exactly like a market that uses only U.S. one dollar bills and doesn’t allow exchanging those bills… ever. If you need five dollars, that will be five one dollar bill, please. If you need less than a dollar then you and your counter-party have to agree how much of a one dollar bill you each own. And they aren’t just any one dollar bills: they are specific bills, each with its own unique serial number that can be checked against a U.S. Treasury database to make sure the money is real -- that it is actually worth a dollar.
When I started this series of 2018 predictions I said the recently passed U.S. tax law was going to have a profound impact on upcoming events. Having had a chance to look closer at the issue I am even more convinced that this seismic financial event is, as I wrote above, a $591.8 billion taxpayer ripoff. This is not to say there aren’t some possible public benefits from the repatriation, but it’s fairly clear that the public loses more than it will ever gain.
In case you don’t follow these things, multinational U.S. companies have, since 2005, squirreled away about $2.5 TRILLION in profits overseas because U.S. tax law allowed those profits to go untaxed until they are returned to the USA. Understand that this $2.5 trillion is more than just the profit made on overseas business: many companies changed their ways of doing business to divert what would have been U.S. domestic profits, sending them overseas for parking to await a business-friendly U.S. Administration that would cut them a sweetheart deal to bring back all that moolah. The amount of U.S. corporate income tax that went unpaid during this 12 year period was 35 percent of $2.5 trillion or about $875 BILLION. That’s taxes of $73 billion annually for 12 years that went unpaid -- about five percent of the federal budget for those 12 years.
About 20 years ago, when I started publishing a list of annual technology predictions, it just made sense to look back to see how I had done the year before. Alas, I made that decision without looking to see that nobody else in my line of work actually does that. But I was stuck and have found since that by being deliberately vague and putting a fair amount of thought into this stuff I’ve been able to keep my long-term stats at about 70 percent correct. We’ll shortly see if that trend continues, but first I want to discuss how this year is so different from all those others.
Nothing seems the same, does it? Maybe it’s President Trump. Maybe it’s just time for a revolution in tech and the economy, but this year feels unlike any of those others. I don’t know if it will make my predictions more accurate or less, but I have to tell you that I believe the context matters this year more than any other. I’ll get to that in a moment but first let’s see how badly I did the last time. You can read both of last year’s prediction columns here and here.
The U.S. Federal Communication Commission, under the leadership of chairman Ajit Pai, will next week set in motion the end of Net Neutrality in the USA. This is an unfortunate situation that will cause lots of news stories to be written in the days ahead, but I’m pretty sure the fix is in and this change is going to happen.
No matter how many protesters march on their local Verizon store, no matter how many impassioned editorials are written, it’s going to happen. The real question is what can be done in response to take the profit out of killing it? I have a plan.
My last column was about the recent tipping point signifying that cloud computing is guaranteed to replace personal computing over the next three years. This column is about the slugfest to determine what company’s public cloud is most likely to prevail. I reckon it is Amazon’s and I’ll go further to claim that Amazon will shortly be the new Microsoft.
What I mean by The New Microsoft is that Amazon is starting to act a lot like the old Microsoft of the 1990s. You remember -- the Bad Microsoft.
Between technology waves there is always a tipping point. It’s not that moment when the new tech becomes dominant but the moment when that dominance becomes clearly inevitable. For cloud computing I think the tipping point arrived a month ago. That future is now.
This is a big deal. My count of technical waves in computing may not agree with yours but I see (1) batch computing giving way to (2) timesharing which gave way to (3) personal computers which gained (4) graphical user interfaces, then became (5) networked Internet computers and (6) mobile computers embodied in smartphones and tablets, and now we have (7) the cloud. This seventh generation of computing will, within 3-5 years, absorb the vast majority of the approximately $1 trillion we spend in the USA each year on IT.