Honoré de Balzac produced roughly ninety completed works totaling something like four million words in a little over two decades.
Today, that kind of output looks suspicious.
If an unknown writer produced ninety novels, novellas, and stories at that pace, plenty of people would assume most of it was junk. If AI were involved, the judgment would come even faster. Content farm. Spam. Slop.
I learned copywriting before generative AI and adopted it later, giving me a useful comparison point. AI can multiply production almost without limit, but output and capability are two different things.
Balzac’s output was enormous, yet “La Comédie humaine” became one of the major literary achievements of the nineteenth century. Writing so much did not stop him from producing work full of observation, memorable characters, social detail, and ideas worth returning to.
For years, high volume gave us good reason for suspicion. Millions of cheap words often meant low-paid writers pumping out SEO articles to game search engines. AI can produce the same mountain faster and for almost nothing.
But quantity still tells us little by itself.
The useful question is what happened inside all that production.
Did the writer notice more? Did the ideas get sharper? Did later work build on earlier work? Did experience compound? Could piece ninety have been written without pieces one through eighty-nine?
Balzac does not prove that writing more makes you better; he proves that writing a lot does not automatically make the work bad.
The dividing line may be simpler.
Some people produce more and gain compounding interest.
Others just produce more.
RW
.
.
.