Linas Beliūnas Highlights Google Gemini’s Potential for ‘Skill on Demand’

In a recent LinkedIn post, Linas Beliūnas discusses a potentially transformative demonstration of Google’s Gemini AI, suggesting it could represent a significant leap towards an “AI assistant that actually acts like an assistant.” Beliūnas highlights an example where the AI, by simply viewing a BMW, was able to provide detailed, step-by-step guidance for an oil change.

AI’s Evolution from Information to Execution

Linas Beliūnas draws a parallel between the internet’s contribution and the emerging capabilities of AI. While the internet democratized access to information, Beliūnas posits that AI is now poised to deliver on execution. He elaborates on this point:

“The internet gave us information. AI now gives us execution 🤖”

This distinction is crucial, according to Beliūnas. He emphasizes that Gemini’s demonstrated ability to move beyond mere data retrieval to actively guiding a complex task signifies a new era of technological assistance. The AI in the example not only identified the car model and necessary parts but also provided critical technical data like torque specifications and offered real-time error correction.

The Future of Hands-Free Assistance and AR Integration

Beliūnas further speculates on the future integration of such AI capabilities with augmented reality (AR) technology. He suggests that wearable devices, such as AR glasses designed to look like ordinary eyewear, could unlock hands-free operation of these AI assistants.

Bridging the Physical and Digital Divide

According to Linas Beliūnas, the next generation of assistants may not be confined to screens or chat interfaces. He envisions a more integrated experience:

“Your next assistant won’t live in a chatbox – it’ll look through your eyes and help you do the job.”

This vision suggests a future where AI actively participates in physical tasks, providing immediate, context-aware support. Beliūnas points out the potential for such technology to revolutionize fields requiring specialized skills, effectively making expertise accessible on demand. He notes the AI’s ability to:

• Identify the exact model of a vehicle.
• Name the specific parts required for a repair.
• Provide precise torque specifications.
• Correct mistakes in real-time during a procedure.
• Guide the entire repair process step by step.

This capability, Beliūnas argues, represents a significant shift from passive information access to active, guided execution, fundamentally changing how individuals can approach complex tasks.

Implications for Founders and Leaders

While not explicitly detailed in the post, Beliūnas’s enthusiasm for this AI advancement implies significant implications for business leaders, founders, and builders. The concept of “skill on demand” could drastically alter training, operational efficiency, and the very nature of skilled labor. As Linas Beliūnas concludes:

“That’s basically skill on demand.”

This perspective positions AI not just as a tool for analysis but as a direct enabler of practical application and execution, a notion he finds particularly noteworthy and exciting.