Embracing Generative AI
- Scaling Operations Without Scaling Workload

How to think about AI

"The immediate future of AI is about augmenting human capabilities, not replacing them."
— Fei-Fei Li, Stanford University

AI isn’t magic. It won’t instantly revolutionize your business or replace all the people—at least not yet. Instead, think of it as a practical tool that can streamline operations and elevate your work. Throughout history, several groundbreaking technologies have reshaped the way we work, much like AI is doing today. The advent of the personal computer in the 1980s—it revolutionized our ability to process information, paving the way for digital offices and transforming everything from data management to creative industries. Later, the internet emerged as a global connector, breaking down geographical barriers and enabling real-time communication and collaboration across continents. These innovations fundamentally altered our work habits, driving productivity and ushering in new business models. They were milestones that not only enhanced our capabilities but also challenged us to continuously adapt and reimagine the future of work.

"The pace of AI development is not only rapid—it's accelerating faster than we expected. We're at the beginning of a revolution that will change our world in ways we can't yet fully grasp."
— Sam Altman, OpenAI

While AI is still in its early stages, its adoption is progressing at a much faster pace than previous technologies. As organizations begin to explore and implement AI, we are witnessing a swift transition from experimental applications to more widespread use. This rapid uptake suggests that AI’s influence on our work environments could become significant sooner than we might have anticipated.

“The challenge is to ensure that AI acts as an extension of human ingenuity, inspiring us to think bigger and work smarter.”
— Demis Hassabis, DeepMind

When many professionals first integrate AI into their work, they treat it like any other tool—resulting in outcomes that often fall short of expectations. Frustrated by initial subpar results, they may quickly dismiss AI, assuming it simply doesn’t work well enough. More often than not, though, AI simply needs more context and clearer direction. Consider the scenario of launching a new marketing campaign. You asking your AI for ideas without providing background is like expecting a brand-new hire to craft a campaign without knowing your company’s brand identity or product details.

In many ways, AI represents a new category of technology—broader and more versatile than what we’re used to. That wide scope is precisely what makes it challenging to get started.

We are used to technology that either works or doesn’t. If your input fails, you start over or give up. AI operates more like a collaborative partner, engaging in an iterative process that mirrors human problem-solving. When outcomes don't align with expectations, there's room to reframe the task and adjust the approach—building upon the previous input and gradually steering the results closer to what we envision. This dynamic process requires flexibility and a willingness to continuously refine our strategies, making AI not just a tool, but an evolving extension of our own capabilities.

We founded Vora to guide businesses on their AI journey and equip them with the skills needed to unlock its full potential.

“To leverage AI effectively we must accept it as a fellow intelligence, instead of yet another technology.”
— Jonas Ahm, Vora