What’s the hardest thing you could do as a tech-driven startup? I’ve been asked that question a few times over the years, and my immediate answer is always the same: Trying to beat Google in search. A few have tried – DuckDuckGo has built itself a sizable niche business, and there’s always Bing, thought it’s stuck at less than ten percent of Google’s market (and Microsoft isn’t exactly a startup.) But it’s damn hard to find venture money for a company whose mission is to disrupt the multi-hundred billion dollar search market – and for good reason. Google is just too damn well positioned, and if Microsoft can’t unseat them, how the hell could a small team of upstarts?
Just last week I predicted that Google would leverage ChatGPT to create a conversational interface to its search business, and that Microsoft would do the same in the enterprise data market. I briefly considered that I might have gotten it exactly backwards – Google has a robust enterprise data business in its cloud business (known as GCP), and of course Microsoft has Bing. But I quickly dismissed that notion – figuring that each behemoth would play the GPT card toward their strengths.
While I may have been right about ChatGPT getting a business model this year, it looks like I could be wrong on the details. Here’s The Information with a scoop:
I’ve used the image above for many years, mainly because I love how surprised the guy looks as he gazes into the crystal ball. Or maybe he’s just sat on something unpleasant. In any case, it pretty much sums up my approach to this, my 20th edition of annual predictions. I sit down, I might have an adult beverage on hand, and I just write until I feel like I’m done.
While reviewing my ’22 predictions (I did pretty well!) I promised to do something new: One post per predictions, ten posts total. But as I began that promised work, I realized it would test the limits of even my most dedicated readers (I see you, kids). So instead I wrote three long form posts, each with three or four predictions apiece. The first focused on AI, the second on advertising, and the third on markets, with a bonus call related to the ’24 election. Having now written all of them, I’m going to summarize them briefly in this “master post.” Grab your own favorite beverage, have a wonderful New Year, and read on!
Let’s start our 2023 predictions off with some thoughts on artificial intelligence. With ChatGPT, Silicon Valley seems to have gotten a bit of its mojo back. After two decades spent simmering the magic of Apple, Google, Amazon and Facebook into a sticky lucre of corporate profit, here was the kind of technological marvel the industry seemed to have forgotten how to make – a magical tour de force that surprised, mystified, and delighted millions.
Even better, ChatGPT didn’t come from any of those corporate titans – not directly, anyway. Instead it came from a non-profit artificial intelligence research laboratory called OpenAI. Founded in 2015 with a mission of furthering “responsible AI,” OpenAI is backed by some of the most celebrated names in Valley technology – LinkedIn’s Reid Hoffman, PayPal’s Peter Theil, Tesla’s Elon Musk among them. Now this was more like it!
Back in December of 2011, I wrote a piece I called “The Internet Big Five,” in which I noted what seemed a significant trend: Apple, Microsoft, Google, Amazon, and Facebook were becoming the most important companies not only in the technology world, but in the world at large. At that point, Facebook had not yet gone public, but I thought it would be interesting to compare each of them by various metrics, including market cap (Facebook’s was private at the time, but widely reported). Here’s the original chart:
I called it “Draft 1” because I had a sense there was a franchise of sorts brewing. I had no idea. I started to chart out the various strengths and relative weaknesses of the Big Five, but work on NewCo shifted my focus for a spell.
Twelve years of making predictions doesn’t make writing them any easier, regardless of my relatively good showing in 2015. In fact, I briefly considered taking the year off – who am I to make predictions anyway? And so much has changed in the past few years – for me personally, and certainly for the industries to which I pay the most attention. But the rigor of thinking about the year ahead is addictive – it provides a framework for my writing, and a snapshot of what I find fascinating and noteworthy. And given that more than 125,000 of you read my post summarizing how I did in 2015 (thanks Medium and LinkedIn!), it was really you who’ve encouraged me to have at it again for 2016. I hope you’ll find these thought provoking, at the very least, and worthy of comment or debate, should you be so inclined.
From time to time I have tracked what I call the “Internet Big Five” – the key platform technology companies that are driving the Internet economy. Nearly three years ago I wrote the first of this series – The Internet Big Five. I identified Apple, Google, Microsoft, Amazon, and Facebook as the “big five,” and compared their relative strengths in financials, consumer reach, and technology strengths. Some of the metrics were admittedly subjective – ranking relative offerings in “engagement” and “data,” for example.
It seems about time to take another look at the Big Five, and to consider a changeup – the introduction of Alibaba as a public company in the US certainly merits consideration. But before I do that, let’s quickly take a look at how the companies have fared over three short years.
(image) This story reporting that Gates will return to Microsoft “one day a week” to focus on “product” has been lighting up the news this week. But while the idea of a founder returning to the mothership resonates widely in our industry (Jobs at Apple, Dorsey at Twitter), in Gates’ case I don’t think it makes much sense.
If anything, what Gates brought to the product party over the past two decades was a sense of what was going to be possible, rather than what is going to work right now. He’s been absolutely right on the trends, but wrong on the execution against those trends. And while his gravitas and brand would certainly help rally the troops in Redmond, counting on him to actually create product sounds like grasping at straws, and ultimately would prove a huge distraction.
Every year around this time I do two things: First I look back at my predictions from a year ago and grade myself, then I get around to making a new set of predictions. These are often my most popular posts of the year, proving the old magazine saw that the world loves a list. So who am I to buck the trend? Let’s get cracking on seeing how my crystal ball turned out, shall we?
As you can see from my 2012 predictions roundup, I took something of a new approach to the prognostication game last year. Instead of one lengthy post with all my predictions, I actually broke them into a series of posts, seven in all. I went into detail on why I thought each forecast would prove correct (save the last one, which was a series of “shoot from the hip” predictions.)
I’ll be as brief as I can with this review – this marks the ninth time I’ve done it. Overall, I’ve had a pretty good run of it. I hope 2013 keeps pace.