I don't think it's true, but in every company that is growing it's existing product lines YoY without burning them to the ground, it will asymptotically approach this.
Do I believe it? No. There are large numbers of people working on completely new, crazy ideas, and just like the startup community, 97% of them will fail utterly. The number of new machine learning oriented things has grown exponentially. But how much innovation do you need in order to prove you're company is innovating? Justin the last 2 years:
Google Photos, clearly innovative, bringing ConvNet's to everyone to reduce the pain of photo management.
Tensorflow, now the dominant platform for ML
Kubernetes, now the dominant platform for container management, and from experience of systems invented internally
SmartReply system (first launched on Inbox, now ending up in many Google products)
Tango, eventually rolled into ARCore
Neural Machine Translation launched on Google Translate
Loads of Google Maps stuff, mostly invisible to people, except for the keen eye (https://www.justinobeirne.com/google-maps-moat/)
GCam in Pixel2. A ton of research and innovation is behind the low light and portrait segmentation in this
Waymo
Cloud TPUs
AutoML
WaveNet/Tacotron2
Instant Apps
Spanner
Those are just the small list of public ones. Yegge worked on internal dev infrastructure, I work on Gmail. Both are maintaining important needs. Someone has to do it. I'd say Google has the opposite problem than what Yegge posed, and that's not enough focus on excellence in maintaining what people are already using.
The thing is, if you want to work on disruptive stuff, with maximum risk taking, and no politics, you go found a small startup and get seed capital. And even then, a huge number of startups are merely clones of existing businesses. "Uber for X", "Slack for Y", "Blockchain for Z".
Innovation, disruption, and copying are a continuum, and all too often rants take an extremist position and try categorize things in one of the other.