This doesn't seem like a perspective offering anything new and possibly involving a few problems.

Jeff Hawkins' On Intelligence also emphasized the predictive qualities of intelligence but again, this was a new emphasis, not really a new idea but a new emphasis in that it's well known time is implicitly an element of nearly any cognitive process.

Moreover, the current deep learning driven AI renaissance is has been most effective in predicting patterns in quite static phenomena; image recognition and competitive video and board games (game involve change over short periods but their context remain identical over long periods). Similar success hasn't come in say, the stock market (so far as I know). So it seems increased prediction at the corporate level will come only as long as larger processes stay static (when you have cascade of change, you'll have cascades of failing predictors, which generate further change what could go wrong?).