We prove that the classical normal distribution is infinitely divisible with respect to the free additive convolution. We study the Voiculescu transform first by giving a survey of its combinatorial implications and then analytically, including a proof of free infinite divisibility. In fact we prove that a subfamily Askey-Wimp-Kerov distributions are freely infinitely divisible, of which the normal distribution is a special case.The Cauchy-Stieltjes transform of a measure µ on the real line is defined bywhen µ is a positive measure, this function maps C + into the lower half-plane. For details we refer to the excellent book of Akhieser [1]. For c = 0, we have µ 0 = γ, the normal distribution [27], and one can easily check that one can extend this family continuously to c = −1 by letting µ −1 = δ 0 , the probability giving mass one to {0}. This family, introduced in [4], plays an important role in [27]; we shall call its members the Askey-Wimp-Kerov distributions. It will turn out from our proof that {µ c : c ∈ [−1, 0]} are freely infinitely divisible. Numerical computations show that for several values of c > 0, µ c is not freely infinitely divisible. Numerical evidence seems also to indicate that µ c is classicaly infinitely divisible only when c = 0 or c = −1. An interesting interpolation between the normal and the semicircle law was constructed by Bryc, Dembo and Jiang [18] and further investigated by Buchholz [19]. This leads to a generalized Brownian motion, given by a weight function (0 < b < 1)