Generative AI: A Tool for Transformation, Not Just Convenience

As a technology journalist, I’ve always been open to the evolving role of new technologies in our world. The advent of generative AI—tools capable of creating text, images, and even sounds—has sparked a wave of excitement across many industries. However, my enthusiasm for this technology has been tempered by a growing concern: the potential for generative AI to simply automate mundane, human-centric tasks, rather than augmenting and transforming society in more meaningful ways. Instead of solely focusing on making life easier by reworking emails or editing photos, I believe generative AI should be used to address society’s larger, systemic challenges and enhance the human experience.

The Promises and Pitfalls of Generative AI

Generative AI is not without its value. In fact, there are several compelling use cases that demonstrate its potential. Take, for example, AI-powered transcription tools that automatically convert speech into text, or live translation services that break down language barriers in real-time. These tools have already proven to be immensely useful for both professionals and everyday users, simplifying tasks that would otherwise be time-consuming or complicated.

Google’s Magic Eraser, which allows users to remove unwanted objects from photos with a simple swipe, is another example of how AI can enhance creative work. It simplifies the process of photo editing, making it more accessible to people who may not have extensive skills with traditional photo editing software. Additionally, AI-based tools like Google’s NotebookLM, which turns articles into podcasts, could transform how people consume content, turning written material into more accessible and engaging audio formats.

However, despite these advancements, my concern is that most of the promotional efforts around generative AI focus on mundane tasks—tasks that often feel joyless and uninspired. For instance, while Samsung’s Galaxy AI can overhaul a photo, where’s the excitement of capturing that image yourself? Where’s the creative satisfaction in framing the perfect shot with your own skills and vision? The technology behind these tools is impressive, but it often feels like an attempt to shortcut the human experience of creation.

Similarly, Apple’s advertisements for generative AI tools like “Generative Edit” aim to rework poorly written emails into more polished, formal communication. But I can’t help but wonder: if a professional cannot write a clear email, shouldn’t they seek some basic writing instruction instead of relying on AI to do the job for them? These types of applications, while useful in certain scenarios, feel like a reinforcement of mediocrity rather than an elevation of human potential.

Even in the world of art, generative AI tools that can produce new artwork or rework existing assets are becoming increasingly common. But the results, while visually appealing, are often lackluster. The question then arises: What is the value of art if it is not the product of human emotion, creativity, and experience? AI-generated art, in many ways, lacks the soul and uniqueness that a human artist brings to their work.

The Same Old Tasks, Just Faster

Much of the promotional hype surrounding generative AI suggests that it can make everyday tasks faster and more efficient. AI-powered tools can help marketers create content, generate leads, and manage customer relationships with ease. But does this really transform anything meaningful? Does this use of AI revolutionize how we work, or does it simply make the busy work of modern life a little easier? I argue that it’s the latter. AI tools that speed up tasks like creating spreadsheets, writing sales copy, or generating simple graphics are not changing the way we live or think. They’re merely automating the mundane.

Beyond the workplace, we’re already seeing the effects of generative AI in education, where students are using tools like ChatGPT to complete assignments and essays. While these tools may be efficient, they risk eroding the value of education itself, as students churn out content without truly engaging with the material. If AI is doing the intellectual heavy lifting, where does that leave the student? What happens to critical thinking and the learning process? The convenience of generative AI may actually be undermining the very skills it could help to foster.

A Vision for Generative AI: Augmenting, Not Replacing

image from freepik
image from freepik

While I don’t dismiss the value of generative AI in its current form, I believe the technology can—and should—be used to drive larger societal benefits. Rather than automating human tasks for the sake of convenience, AI should be leveraged to augment human experiences, solve complex problems, and make life better for all. It’s not about replacing people; it’s about empowering them.

Take, for example, the growing shortage of qualified teachers in both the United States and the United Kingdom. In many regions, school systems are struggling to fill vacancies, leaving students with limited access to quality education. In this context, generative AI could be a powerful tool for supporting teachers and students. AI could function as a supplement to in-person learning, providing students with 24/7 access to educational resources and explanations, even when teachers are unavailable. It could also be used to tailor educational experiences for students with learning disabilities, offering personalized support that meets their specific needs. Instead of replacing teachers, AI could augment their work and help bridge gaps in access to education.

Similarly, with the aging population becoming a pressing issue in many parts of the world, the demand for elder care is on the rise. Family members and caregivers often struggle to meet the needs of elderly relatives, particularly when they live far away or have other commitments. Here, generative AI could serve as a lifeline, providing 24/7 support for elderly individuals who may need assistance with daily tasks. An AI-powered system with natural language comprehension could answer questions, provide companionship, and even coordinate tasks like grocery shopping or medication management. With the help of robotics, AI could take on physical tasks that human caregivers may not have the time or resources to handle, allowing them to focus on more complex caregiving needs.

In the realm of agriculture, AI-powered robots could help address labor shortages on farms, performing tasks like feeding livestock, monitoring crops, or even assisting with harvests. These robots wouldn’t replace human workers but rather support them, allowing farmers to focus on the more nuanced aspects of their work. AI could also be used to monitor environmental conditions, ensuring that crops receive the optimal care they need to thrive.

Another area where AI could make a meaningful impact is mental health care. While human therapists will always play an essential role in providing therapy and support, generative AI could provide an accessible supplement for people who may not feel comfortable speaking with a human therapist. AI-powered tools could offer therapy sessions, provide mental health resources, and even help individuals develop coping strategies for managing stress and anxiety. In this context, AI could democratize access to mental health care, reaching a broader population and offering support where it’s most needed.

Generative AI for a Better Future

The potential applications of generative AI are vast and varied, and we’re only scratching the surface of what’s possible. However, for AI to truly have a transformative impact on society, it needs to be used to solve meaningful problems. Instead of simply making human tasks easier, generative AI should be used to augment human capabilities and address the challenges of our time.

While current AI technology is far from perfect—there are issues around environmental impact, ethical concerns, and technical limitations—it holds incredible potential. If companies like Apple, Amazon, Microsoft, and Google could focus their resources on creating generative AI that addresses social issues and enhances human lives, we could see a future where AI is a true force for good.

In conclusion, generative AI shouldn’t be seen as a tool to replace human effort, but as a means to support and enhance it. By focusing on the larger issues—education, elder care, mental health, agriculture, and more—we can use AI to create a society where technology helps people achieve more, rather than simply making life easier for a few. The real power of generative AI lies in its potential to elevate society as a whole, not just individual tasks. Let’s push for a future where AI works for us, not the other way around.