The Rise of AI and gAI and the Implications

The wave of AI and gAI has been generating both euphoria and fear for a good reason.


Daniel Egger

5/6/20232 min read

a tree with colorful paint splatters on it
a tree with colorful paint splatters on it

As we’ve seen with past technological revolutions, such as the Industrial Revolution, Green Revolution, and Internet Revolution, technology can bring significant societal, individual, and organizational changes.

gAI is no exception; it’s here to stay and will continue to shape our future. So while we should be aware of the implications of these advancements, we should also focus on finding our place in this new reality and collaboratively shaping the future together.

Our analysis at Trend Hacker employs various tools and research sources to explore the future impact of AI and gAI on multiple sectors, such as healthcare, work automation, transportation, education, and finance.

In a nutshell following waves could we identify:

  1. First Wave: Awareness and New Ideas (up to 2025) In this phase, companies integrate AI into existing products and processes to create added value for customers and businesses. As a result, many new services and ideas will emerge, but only a fraction will prevail. Possible developments include AI companions, integration into revenue-intensive processes, and improved accessibility.

  2. Second Wave: Preparation and Market Validation In this wave, the focus is on implementing AI in existing processes, expanding into robotics, and a leap in sentiment analysis. AI will integrate into revenue-intensive processes, transition to embodied companions (robotics), and flow into complex processes. As a result, the digital divide could increase in this phase.

  3. Third Wave: Implications and Scaling (around 2029) In the third wave, the critical questions about IP, data protection, biases, transparency, and ethics were solved. People will likely firmly accept AI, which may also lead to a more significant loss of jobs.

Potential counter-movements to AI integration include data protection and IP concerns, ethical and transparent AI requirements, and a growing digital and social divide. Governments and organizations must address these challenges to ensure sustainable and inclusive AI integration.

In conclusion, embracing the dawn of a new era in AI and gAI’s transformative power is crucial for shaping the future of our society. By staying informed and engaging in open dialogue, we can better understand the implications and opportunities of this rapidly evolving landscape.

Interested in the full analysis? Check out: