No.
Charts of most markets are more or less fractal, most of the time, and for that reason most TA works equally on charts of higher/lower time-frames.
That's not to say that one's
results from using it "equally" on different time-frames will necessarily be equal, of course.
There are (are least) two "key issues" involved in the context of your question that are quite widely misunderstood and often not well thought through.
The first is the idea of "noise": many people will tell you that TA is more "reliable" on higher time-frames because there's "less noise". This isn't really correct (though we all know more or less what people mean, when they say that) and strictly speaking there's no such thing as "noise",
per se: a tick is a tick, and a unit of volume is a unit of volume, and if it's there on a chart, it was transacted.
The second is the fairly widespread (and certainly misguided) assumption that higher reliability (i.e., in this context, a higher win-rate) is necessarily going to equate to more overall profit. The point some are overlooking here is that it's typically both financially better
and less risky, in the long run, other things being equal, to make an average of 6 pips/ticks an average of 4 times per day than it is to make an average of 12 pips/ticks once a day - even if the win-rate of the former is lower than that of the latter. In other words, trading-frequency is a relevant parameter, too, and
the relationship between that and reliability is typically a non-linear one.
Yes; but that's not to say that they're
necessarily based on indicators, of course. There are aspects of "TA" that have nothing to do with indicators at all.
I hear you, and there's truth in what you say, but it's not always as simple as that.
I wouldn't say "taking over", necessarily, but their relative significance is clearly increased over long time-frames, yes.