How can planning for uncertainty lead to a more certain supply chain?
In early 2025, it was tough to avoid headlines about tariffs, supply chains and the new shape of global trade.
“…where do negotiations stand today and should we expect tariff hikes at the end of this 90-day pause…”
“…services have been changing, and also play everyone’s favorite game right now: let’s look for impacts from tariffs…”
“…uncertainty that they’re facing, whether it’s around tariffs and trade policy, or whether it’s around the potential for conflict, it gives them more confidence…”
Disruption is nothing new for business, but recent uncertainty has amounted to a decade-long stress-test of supply chains, jolted by extreme weather events, global health crises and geopolitical conflicts. Trade policy today feels like a case of needing to deal with everything, everywhere, all at once. For the multinational companies facing uncertainty on many fronts, how best can they power through? And is the promise of innovations like GenAI enough to rewrite the supply chain playbook?
Disruption is the new supply chain normal
Jay Camillo: "The focus on that question from the C-suite has gained a new urgency over the last call it 10, 12, 13 years with the combination of the collapse of what some people refer to as the WTO consensus, which is really a multinational global consensus, that free trade is a good thing."
Jay Camillo is the EY Global Operating Model Effectiveness Leader.
Camillo: "Ultimately, companies now have to really be forward-thinking and consider, not if, but when the next disruption occurs — how can I respond at least as well as my competitors so I can meet my peers."
The expectation of disruption, oddly enough, created a kind of interim stability, but we can’t understate how the larger shocks to supply chains have caused significant fluctuations.
Beyond the COVID-19 pandemic, disruptions and uncertainty of global shipping through the Panama and Suez canals have quickly revealed cracks in supply chains and the need for more resilient and adaptable functions.
Of course, as you patch some cracks, more appear making it more important to look for them ahead of time.
Camillo: "I think what you'll find is most companies are having to try to predict what could disrupt their business in the future, but that's nearly impossible to your point. What I think they're doing is they're taking lessons where they were successful. Like a lot of companies today who are having to face or are going to face the tariffs on their imports in the United States, they're convening task forces. They've got war rooms in there, very much from every part of the company — legal, supply chain, knowledge and insights that people can do, the data analytics and try to predict."