In this age of AI hype, every vendor with an “Agentic AI” or an “AI Employee” is claiming their LLM-based garbage app is going to provide you with the “spend intelligence” you need for your Procurement success. The reality is that it is as much hogwash today as it was 20 years ago when I wrote that There’s No Such Thing as Spend Intelligence.
The words I wrote exactly 20 years ago today still stand.
There is no such thing as a spend intelligence solution.
Let’s start with the definition of intelligence.
Intelligence is a most complex practical property of mind, integrating numerous mental abilities, such as the capacities to reason, plan, solve problems, think abstractly, comprehend ideas and language, and learn.
And since spend management solutions are software, let’s review a definition for software.
Software is the (collection of) program(s) that enable a computer to perform a specific task, as opposed to the physical components of the system (hardware), where a program is the collection of source code and libraries which have been compiled into an executable or otherwise interpreted to “run” in (active) computer memory, where it can perform both automatic and interactive tasks with data.
Simply put, intelligence is a property of mind and software is a property of machine. And despite the efforts of the artificial intelligence community, I do not expect the property to cross the chasm anytime soon. Artificial intelligence is simply a collection of very sophisticated algorithms processing large data stores, instruction sets, and probabilities very quickly to come up with reasonable responses to queries – it is not thought, although it might appear to be thought since today’s computers can perform billions of calculations in a second.
The only difference is that today’s processors easily do hundreds of billions of instructions per second and with multi-threading and massive parallelization, average racks do hundreds of trillions of calculations per second and custom AI Data Center racks do quadrillions of calculations per second. But calculations do not equal intelligence. And since the models are still probabilistic, they haven’t gotten any better and, in fact, with LLMs, they’ve gotten worse!
In fact, with hallucinations a core function, not only can you not depend on the math (which these models get wrong all the time) but you can’t even be sure they’re working on the right data. We’ve went from insight to inaccuracy. That’s not intelligence. That’s idiocy … at it’s finest!
