Look, I’ve been covering Silicon Valley long enough to know that when a new buzzword hits, you brace yourself. And “agentic AI”? Yeah, that’s the latest one. Supply chain outfits are apparently tripping over themselves to slap this label on whatever they’ve got, a phenomenon Gartner’s now calling ‘agent washing.’ It’s the tech equivalent of selling a used car with a fresh wax job and calling it brand new. Makes you wonder who’s actually cleaning up here. (Spoiler: It’s rarely the buyers.)
Because here’s the dirty little secret, the one that doesn’t make it into the glossy brochures: Most of this “agentic AI” is just… better user experience. Think fancier chatbots, smarter search results, and recommendations that are maybe 10% better than before. It’s not fundamentally rewriting decision-making or automating complex planning. Jan Snoeckx from Gartner nails it, saying it’s more about query interpretation and conversational support than actual, you know, intelligence that changes the game. This isn’t the dawn of truly autonomous planning; it’s more like a slightly more helpful assistant.
True autonomy, the kind where a system spits out a plan, picks the best plan, and then executes it without a human needing to blink? That’s still science fiction for most supply chains, at least for the next few years. Vendors throwing around claims of end-to-end autonomous planning by 2027? That’s pure fantasy, and frankly, a bit insulting to anyone who actually understands the complexities involved.
And that’s where the ‘agent washing’ really kicks in. It’s a way for vendors to capitalize on the AI gold rush without actually delivering the goods. They’re taking old-school automation, slapping on the ‘agentic AI’ sticker, and hoping no one notices the lack of substance. The risk here isn’t just a wasted budget; it’s long-term lock-in with tech that can’t evolve because it was never truly next-gen to begin with.
Is This Just Old Wine in New Bottles?
Snoeckx’s advice is spot on, though it sounds like common sense to anyone who’s dodged a few tech fads. He’s telling these supply chain leaders to get real. Prepare for an agentic future, sure, but don’t get fooled by the noise. The real priority isn’t some Rube Goldberg machine of full autonomy right now. It’s about building the guts – the flexible architecture, the solid decision-making processes – that will actually allow this tech to scale when it’s ready.
This whole ‘agentic AI’ push reminds me of the big data craze back in the early 2010s. Everyone was collecting data, but few knew what to do with it. Then came the analytics platforms, then AI, and suddenly, companies were retrofitting old warehouses for ‘smart’ data capture. It’s the same pattern: new tech buzzword, massive hype, and then the slow, painful realization that you need to build a solid foundation first. Agentic AI is no different.
Common Pitfalls to Dodge
Vendors are slick, I’ll give them that. They’ll tell you their system can re-sequence objectives, negotiate trade-offs, and adapt execution logic on the fly. Snoeckx warns us not to just believe the hype. Dig in. Ask the tough questions. Does it really do that, or is it just a fancy script? Most offerings, he says, can’t independently handle those complex, dynamic scenarios.
Then there’s the temptation to do a ‘monolithic transformation’ – a giant, all-or-nothing upgrade. Big mistake. Retrofitting legacy systems with these new ‘agents’ sounds appealing, but it often cripples future flexibility. You end up capping your return on investment before you even start and digging yourself a deeper hole of lock-in. It’s like putting a turbocharger on a Model T; you’re going to break something.
And please, for the love of all that’s profitable, don’t try to run your most complex, high-stakes operations with this stuff before it’s proven. Forget cross-enterprise negotiation, juggling dynamic cost trade-offs, or any kind of ethical judgment call. Gartner’s practically drawing a line in the sand, saying these are not candidates for agentic AI before 2027. Stick to the basics.
“SCP leaders should prepare for an agentic AI future, but they need to separate meaningful capability from market noise,” Snoeckx said. “The priority today is not full autonomy, but building the operational discipline, architectural flexibility, and decision frameworks that allow agentic AI to scale as the technology matures.”
So, what’s the path forward? Focus on what works. Use cases that are already proven. Shore up your data infrastructure – that’s always the bedrock, no matter what fancy AI you’re layering on top. And follow a sensible adoption sequence. It’s about gaining some productivity now while keeping the door open for the real agentic capabilities down the road.
It’s a good reminder that in the world of supply chain technology, hype is cheap. Real, sustainable value? That takes discipline, a clear head, and a healthy dose of skepticism. Especially when the buzzword is “agentic AI.”
What is Agent Washing in Supply Chain?
Agent washing is when vendors deceptively label conventional automation or basic AI features as advanced ‘agentic AI’ to capitalize on market hype, potentially misleading customers into making misaligned investments.
When Will True Autonomous Supply Chain Planning Be Possible?
According to Gartner, true end-to-end autonomous supply chain planning is unlikely to be widely achievable before 2027, with complex use cases like cross-enterprise negotiation being even further out.
Should I Invest in Agentic AI Now?
Supply chain leaders should focus on building foundational capabilities and adopting agentic AI deliberately, prioritizing proven use cases rather than rushing into unproven, high-risk autonomous applications.
