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AI Agents Will Eat Everything

AI Agents Will Eat Everything

Chris Campbell

Posted June 28, 2024

Chris Campbell

“Flippy the chef,” the CBS reporter says, “makes spuds spectacular, this automated grill gives the meat its sizzle, as this restaurant goes robotic.”

A restaurant in Pasadena, called CaliExpress, isn’t the only one using AI to automate their operations.

So, it seems, is the CBS writing staff.

(The future of AI is AI writing about the future of AI, forever.)

CaliExpress claims to be “the world’s first AI powered eatery.”

“We can’t get enough people to come to work,” said the owner, “automation solves this issue.”

This shows the tension we see in the rise of AI.

In Detroit, we see an unfettered optimism about AI’s ability to augment human workers rather than fully replacing them.

This could involve AI systems handling complex calculations, automating tedious tasks, optimizing production schedules, or providing real-time guidance to workers on the factory floor.

And while manufacturing might be more resilient than most, some industries won’t survive the next wave of AI.

Especially when AI agents start eating everything.

More Than a “Virtual Assistant”

You’ve heard of Siri. Alexa. Cortana.

AI agents are not that. They’re the difference between a basic calculator and a supercomputer. Instead of just answering simple questions or setting reminders, they'll be able to handle much more complex tasks.

Case in point: While Flippy is automating out fast food, AI agents are beginning to eat the real estate agent’s lunch.

9 News Australia reported this week that a new platform called Wavie is allowing homeowners to sidestep real estate agents when they sell their homes.

Questions and negotiations are handled by AI agents. AI handles the advertising and conveyance. No commission. No upfront cost.

You pay a fee on settlement.

If you’ve ever sold a house, you probably know how much money this could save on commission fees.

This isn’t speculative. It’s already happening.

Google. OpenAI. DeepMind. Apple. Nvidia.

They’re all working on AI agents.

Nvidia, for example, is introducing NIMs (NVIDIA Inference Microservices). These are essentially smart chatbots that can be customized for specific tasks or industries.

In the near-future, says Jensen Huang, instead of writing traditional software code, people might "assemble" these AI chatbots to create complex software systems.

Each NIM could have a specific role or expertise, and they would work together to solve problems or complete tasks.

Nvidia is partnering with big companies like SAP, ServiceNow, and Dell to implement this technology across various industries.

They believe this approach will help companies tap into their existing data and knowledge to create powerful AI assistants or "co-pilots" for different business tasks.

But companies won’t be the only ones using AI agents.

You will, too.

You might ask your AI agent to research and plan your entire vacation, including booking flights, finding hotels that match your preferences, and even suggesting activities based on your interests and budget.

Or you could ask it to analyze your business data and provide insights to help grow your company.

In their most advanced form, these agents will be able to work independently, making decisions and taking actions on your behalf, rather than just providing information for you to act on.

The rub:

The key factors driving this acceleration toward functional agents hasn’t changed: INFRASTRUCTURE.

Play the Long Game - Keep it Simple

We don’t know who’s going to win the “AI agent” war.

What we do know: As businesses across sectors rush to integrate AI into their operations, the demand for infrastructure is soaring.

This dynamic mirrors the early days of cloud computing, where providers like Amazon Web Services grew exponentially by offering scalable, on-demand computing resources.

Also, building effective AI infrastructure is no small feat.

It requires significant expertise, massive computing resources, and continuous innovation. This high barrier to entry creates a moat for early leaders in the space, protecting their market position.

Play the long game.

While flashy AI applications might grab headlines, the real long-term value lies in the systems that make these applications possible.

For those looking to capitalize on the AI boom, the foundational infrastructure is the most solid bet of all.

And, make no mistake…

There’s still low-hanging fruit to be picked.

More on that - especially for our Paradigm Mastermind Group members - next week.

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