Would you pay $200 a month for generative AI services? It may sound crazy, but I think it’s entirely possible, particularly if the tech and media industries don’t repeat the mistakes of the past.
Think back to the last time you decided to fork over a substantial monthly fee for a new technology or media service. For most of us, it was probably the recent shift to streaming services. If you use more than a few, that bill can add up to nearly $100 a month. But streaming is a (not particularly good) replacement for cable – it’s not a technological marvel that changes how we live, work, and play. To find a new service that rises to that level, we have to go back to the introduction of the smart phone – a device we were willing to spend hundreds of dollars to obtain and an average of $127 a month to keep.
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 love advertising – particularly digital advertising. There, I said it. Was that so hard? Well, yes, the industry I’ve partnered with for more than three decades can be very difficult to defend – and the past ten or fifteen years have been particularly bad. I’m tempted to say that everything after Google Adwords was a net negative in the world, including Facebook, which was the bastard child of Google, and even the open web and programmatic advertising (a development I’ve previously called “heroic” and “the greatest single artifact of humankind”).
It’s fair to say I have a complicated relationship with what’s come to be called “ad tech” – we developed the first ad servers and banner ads at Wired in the 1990s, I wrote a book about the business and its breakout star (Google) in the early 2000s, I started an advertising-driven open-web business that nearly reached escape velocity around the same time, I still chair an adtech and data-driven descendant of that business today, I’ve work closely with the largest advertiser on the planet for nearly 15 years, I sit on the board of LiveRamp, an essential component of today’s digital marketing ecosystem, I’ve started or advised or invested in countless media companies – most of which are dependent on advertising in one form or another.
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!