Exponential growth trends in compute and data prevent AI development from hitting a wall. Mustafa Suleyman argues that human linear intuition fails to grasp the current pace of progress. This trajectory suggests that scaling laws remain intact. Practitioners should expect continued capability gains rather than a sudden stagnation in model performance.