Autoregressive models are based on the assumption that

A moving average model can be used to completely explain variation in the data.

Chronological observations in a time series are expected to be related to one another (next month's value is related to this month's value which is related to the previous month's value and so on).

The data has only a linear trend.

Computer software can automatically do regression when given appropriate data.