AI Autonomy in Freight Logistics: The Case for an Incremental Approach

## AI Autonomy in Freight Logistics: The Case for an Incremental Approach As artificial intelligence continues to reshape supply chain and logistics operations, one technology executive is pushing back against the industry tendency to deploy AI with sweeping, immediate authority — and his argument is gaining traction among retailers and freight operators alike. Salman Habib, CEO of delivery technology firm Burq, has outlined what he describes as an 'earned autonomy' doctrine for AI deployment in freight and delivery environments. According to FreightWaves, Habib contends that retailers and logistics operators are increasingly resistant to AI vendors who demand full operational control on day one — and for good reason. Under Burq's model, AI systems begin in an observational role, monitoring existing workflows without intervening. Only after demonstrating measurable competence within a discrete segment of the operation does the system earn the authority to act autonomously in that area. The process then repeats across additional operational segments, with expanded autonomy granted strictly on the basis of evidence. 'Retailers balk when AI vendors ask for full control on day one,' Habib told FreightWaves, summarising the core tension between technology ambition and operational risk management that many logistics professionals will recognise. ### Relevance to Maritime and Port Logistics While Burq's focus is on last-mile and retail delivery, the underlying principle carries direct relevance for maritime freight operations, where AI adoption is accelerating across port terminal management, vessel scheduling, cargo optimisation, and predictive maintenance. The stakes in maritime environments — where errors can result in significant financial loss, safety incidents, or supply chain disruption — make the case for incremental, evidence-based AI deployment particularly compelling. Terminal operators and shipping lines exploring AI-driven automation would do well to consider whether their technology partners are offering similarly graduated frameworks, or whether they are being asked to cede broad operational control before trust has been established through demonstrated performance. The 'earn your authority' model reflects a broader maturation in how the logistics industry is approaching AI — moving away from wholesale transformation promises toward pragmatic, verifiable integration. For maritime professionals evaluating AI vendors, Habib's framework offers a useful benchmark: demand proof of competence at each stage before granting the next level of autonomy. *Source: FreightWaves*