Generative AI – The Ultimate Enhancement Tool


Recently, there’s been much public discourse around the application and impact of Generative Artificial Intelligence (AI) platforms. Proponents tout its limitless potential for practical use and enhanced efficiency. On the other hand, critics fear the threat of job replacement and the questionable ethics surrounding its potential to infringe on copyrighted source material. With the ascension of Generative AI platforms such as the uber popular Chat GPT, there’s reasonable concern around job replacement and ethical usage, but there is also evidence of its potential to complement and enhance human capabilities, making tasks easier and more efficient across all industries, including information technology.

What is Generative AI and why has it gained popularity?

Generative AI uses natural language learning (not requiring code programming) to produce content, such as high-quality text, image, code, audio, video, data and much more within seconds.

According to Gartner, Generative AI will become “a general-purpose technology with an impact similar to that of the steam engine, electricity and the internet. . . the impact of generative AI will grow as people and enterprises discover more innovative applications for the technology in daily work and life.”

With its exponential capacity for effective and easy usage, it’s clear to see why AI platforms such as Chat GPT have gained fever-pitch momentum. Imagine bolstering clear deficiencies in your professional and personal life, or supplementing capabilities to spend less time performing basic tasks. Through Generative AI, we’ve discovered a way to impact the masses with the power of artificial intelligence.

Benefits of Generative AI

The current and future benefits of Generative AI are shaping to be far-reaching in its application, allowing users to automate tasks, develop ideas and products faster, and improve overall productivity. Today’s version of Generative AI requires attentive scrutinization and validation from human oversight to confirm accuracy and precision, but as this technology matures, continuously learning from pointed feedback and relevant source material, it will be instantaneous in its production of quality assets of all types, and across countless industries.

What can Generative AI help you with right now? Let’s take a look.

  • Coding: Generative AI can act as a programming assistant to create technical code for software programs, web applications, and more code-based technologies. The tool also has the power to fix and enhance existing code, which can save countless man-hours and optimize costs.
  • Writing assistant and idea generator: Similar to creating and enhancing code, Generative AI can perform the same function for the written language, for both short form and long form content. Tasks such as drafting emails, memos, reports, essays, narratives, scripts, etc. are made easier with the assistance of Generative AI.
  • Data Analysis and Business Strategy: This technology can rapidly analyze large sets of data, and organize its findings however you choose to have it presented. Furthermore, Generative AI can evaluate data and make sophisticated recommendations based on this information, assisting in high level tasks such as business strategy and development.
  • Image/Video: With a simple script or guide, AI can generate elaborate images and videos to be used in marketing, promotions, presentations and more. You can also edit this content and develop collages, trailers and reels.

In essence, Generative AI can make tedious tasks easier which benefits competition as more people gain access and exposure to these capabilities. With less time dedicated to generating content, more time may be spent problem-solving and developing big picture ideas to address our larger needs.

Challenges and Risks of Generative AI

If something sounds too good to be true, there’s usually something being overlooked.

With Generative AI it’s no different, and for every benefit this technology can bring, it may also be used by cyber criminals and nefarious parties to execute elaborate scams, cyberattacks and misinformation campaigns. This may make bad actors more prolific and potent in their various attack vectors, placing onus on individuals and organizations alike to invest more in their cybersecurity protections and posture.

There’s also ethical questions that arise around cognitive bias learned from slanted or incomplete source material and the potential for infringement on intellectual property and image/likeness rights. Is it fair to have a technology of this power and magnitude operate with prejudice, or use protected content without credit or compensation?

In the forefront of these looming concerns is threat of AI replacing human jobs, displacing scores of professionals from the workforce. This is a vibrant point of contention that have many experts divided, between job replacement versus job transformation and enhancement. If platforms such as Chat GPT are currently better than human level performance on problem-solving and exam testing, over time it’s difficult to calculate its exact impact.

With time, hopefully these plausible concerns will be rectified and not exacerbated. Whichever camp you may fall into, there’s no denying the widespread impact Generative AI will have on the workforce.

The Importance of Embracing Change and Advancement

Although artificial intelligence has been around for decades, its latest iteration appears to be the proverbial next step into making this privileged technology accessible for the masses. As detailed earlier, Generative AI has the power to transform and enhance countless industries, which underlines the importance of learning how to collaborate and work alongside this technology rather than outright rejection. Collaboration is needed to properly guide and oversee the use of Generative AI, ensuring the challenges and risks associated with this technology are addressed and mitigated.

Additionally, as Generative AI becomes more utilized, there will be a significant gap between those who are able to properly adapt and leverage this technology compared to those who choose to avoid it altogether. Obviously, this will not apply to every job and situation, but in cases where AI can be leveraged, the gap may be exponential as this technology progresses and the skills of those who interact with this technology enhances.

The key to a commensurate partnership between humans and AI is discovering ethical ways to collaborate that complements and values the capabilities of all parties.