🤖 Why Gen AI is Underhyped and why we have not seen anything yet.
I want to take a moment to talk about Generative AI — and why it’s still underrated. Today, when the topic comes up, the spotlight usually falls on tools like ChatGPT or Google Gemini. Yes, these platforms can write content, summarize research, generate code, and even carry human-like conversations. And for many people, that already feels revolutionary.
But here’s the truth: this is just the beginning. What we’re seeing today is only a glimpse of what Generative AI will be able to do in the very near future. We’re only scratching the surface.
Behind the Curtain: Today’s AI is Already Outdated
Former Google CEO Eric Schmidt recently noted that the capabilities we see in products like ChatGPT today are essentially two years old. He believe that Gen AI is “underhyped” . This means the public versions people interact with daily are not the bleeding edge—they’re legacy iterations compared to what’s being tested and developed behind closed doors. In a fast-moving field like AI, two years is a lifetime. You can see the video of Schmidt’s interview below:
What’s Coming Next
The next generation of Gen AI is being built to solve far more complex problems. Instead of just answering questions or producing text, these systems are being designed to integrate reasoning, memory, and action in ways that allow them to become trusted partners, not just digital assistants. Imagine AI that can:
• Analyze massive datasets in real time and surface actionable insights.
• Support decision-making with contextual understanding, not just pattern recognition.
• Adapt seamlessly to industry-specific challenges, whether in healthcare, finance, or sports performance.
Schmidt also refers to some studies that predict that AI will help humans improve their productivity by 30%.
This leap will move Gen AI from being “nice to have” tools to mission-critical infrastructure.
The Limits of Today’s Tools
That said, current platforms still fall short. Even the most advanced AI tools make mistakes, hallucinate, or confidently present false information. This unreliability is a major barrier to adoption in high-performance environments, where accuracy and trust are non-negotiable.
How Upside is Positioning For The Future
At Upside, we see this evolution as a massive opportunity. Our mission is to harness the next wave of Gen AI to build tools that make performance staff more efficient. By integrating real-time insights, and enhancing decision-making via our Upside AI based comparison tool, we aim to give practitioners back their most valuable resource: time with athletes.
Because at the end of the day, sports performance staff aren’t measured by how quickly they can compile data or complete reports—they’re measured by how well they can can make sense of the data with actionable health insights about their athletes.
We’re still in the early innings of this transformation, and the breakthroughs ahead will dwarf what we’ve seen so far. The future of Gen AI is about empowering practitioners to do their jobs better, faster, with better insights so they can focus on what matters most: taking care of athletes.
At Upside, we believe the best is yet to come and we’re building for that future.
Best,
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