AI Takes Center Stage in Super Bowl LIX Commercials

For fans of the Philadelphia Eagles, last night was one to remember as the team celebrated its victory in Super Bowl LIX. However, Kansas City Chiefs supporters may be feeling less jubilant.

No matter which team you supported, viewers likely noticed that many commercials from big tech companies prominently featured AI technology:

• Meta Platforms Inc.’s (META) advertisement showcased stars like Chris Hemsworth, Chris Pratt, and Kris Jenner donning Ray-Ban Meta smart glasses. These glasses come equipped with Meta AI, an assistant that can answer questions and provide recommendations.
• OpenAI made its Super Bowl debut, presenting a commercial that highlighted significant achievements throughout history, culminating with the unveiling of ChatGPT, its well-known AI chatbot.
• Alphabet Inc. (GOOG) aired two commercials promoting its AI assistant Gemini. One featured a man preparing for a job interview with Gemini’s help, while the other illustrated a man using Gemini to learn about football.

These ads arrive shortly after Google released Gemini 2.0, its latest and most advanced AI model suite just last week. This marks part of Google’s ambitious goal to implement Gemini AI across its range of products.

But what exactly does “agentic” AI signify?

Understanding AI: Generative vs. Agentic

To grasp “agentic” AI, we first need to understand generative AI.

Think of it as creation.

Generative AI systems, as the name highlights, generate various types of content such as text, images, and videos. They achieve this through pattern recognition, trained on substantial data sets to identify patterns and create new content accordingly.

Some examples of generative AI include OpenAI’s ChatGPT, Google’s Bard, and Microsoft 365 Copilot.

On the other hand, agentic AI emphasizes problem solving.

These systems are designed not just to generate content but to make decisions and adapt to changing circumstances. They act as the cognitive backbone of smart assistants. Equipped with sensors or algorithms, they can interpret their surroundings, evaluate information, and take action.

Gemini 2.0 uses step-by-step breakdowns to analyze problems, allowing it to “consider” prompts before presenting solutions.

In a blog post from December, Google CEO Sundar Pichai reflected, “Over the last year, we have been investing in developing more agentic models, meaning they can understand more about the world around you, think multiple steps ahead, and take action on your behalf, with your supervision.”

It’s important to note that agentic AI is not the same as artificial general intelligence (AGI). The arrival of AGI would mean AI achieves cognitive abilities comparable to those of humans.

Nonetheless, agentic AI is a vital step towards this technology.

The progress towards AGI is something of great interest. On September 12, 2024, I initiated a 1,000 Days to AGI countdown coinciding with OpenAI’s launch of new models designed for reasoning rather than mere pattern recognition.

I believe the 1,000-day period represents the maximum timeframe we might expect to see AGI come to fruition.

As advancements occur, we inch closer to this reality.

Prepared investors stand to benefit tremendously, tapping into the transformative potential AGI offers. Those who position themselves wisely could reap financial rewards unlike any seen since the Internet Revolution.

I’ve pinpointed several companies well-positioned to take advantage of this upcoming “pre-AGI” market, and I’m eager to share this information with you.

You can click here to access my free 1,000 Days to AGI special broadcast, where I delve into the implications of AGI and provide guidance on financial readiness.

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