AI Experimentation Phase Is Over for Freight and Logistics Operators, Industry Leader Warns

## AI Must Be Treated as a Strategic Asset, Not a Novelty The freight and logistics industry has reached a critical inflection point in its adoption of artificial intelligence, according to a senior technology executive at one of the sector's leading outsourcing firms. Alfonso Quijano, Chief Technology Officer at Lean Solutions Group, has issued a stark warning to operators across the supply chain: the era of low-stakes AI experimentation is over, and companies that continue to treat the technology as a supplementary tool rather than a fully integrated operational resource are setting themselves up for significant and costly failure. Writing via FreightWaves, Quijano draws a pointed distinction between organisations that have embedded AI into their core workflows — effectively treating it as a productive 'employee' with defined responsibilities and measurable outputs — and those still running isolated pilot programmes with no clear path to scale. 'Companies still treating AI like a tool instead of an employee are setting themselves up for costly failure,' Quijano stated, underscoring the urgency of a strategic rethink across freight brokerage, logistics management, and supply chain operations. ### Why This Matters for Maritime and Freight Operators For maritime freight stakeholders — including vessel operators, port logistics providers, freight forwarders, and cargo brokers — the message carries particular weight. The global shipping industry has seen growing investment in AI-driven applications spanning predictive vessel maintenance, dynamic freight pricing, port congestion forecasting, and automated documentation processing. However, industry observers have long noted a gap between early-stage pilots and enterprise-wide deployment. Quijano's commentary suggests that gap is no longer commercially acceptable. As competitors who have successfully scaled AI solutions begin to realise measurable efficiency gains and cost reductions, those still in exploratory phases face compounding disadvantages. The shift in framing — from AI as a discrete tool to AI as an integrated team member with accountability and workflow ownership — reflects a broader maturation in how technology leaders are approaching deployment strategy. It implies dedicated governance structures, clear performance metrics, and organisational change management, rather than ad hoc experimentation. ### The Cost of Inaction With freight markets remaining volatile and margin pressure intensifying across the supply chain, the operational efficiencies unlocked by mature AI deployment are increasingly a competitive differentiator rather than a bonus. Quijano's warning implies that the window for gradual adoption may be closing faster than many operators appreciate. For maritime industry professionals evaluating their own digital transformation roadmaps, the message from Lean Solutions Group is clear: strategic commitment to AI integration is no longer optional — it is an operational imperative.