[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Aaron Levie [@levie](/creator/twitter/levie) on x 2.5M followers Created: 2024-04-21 21:47:01 UTC The next big breakthrough in AI is AI Agents. This is when AI goes from being used as an assistant to chat with, to using AI to accomplish complete tasks that a human might otherwise have to perform. This moves AI from being a "read-only" operation to fundamentally a "read/write" operation. Ultimately, this brings us much closer to the full promise of AI, in particular in the enterprise, where AI can begin to complete any part of a workflow, and we're already seeing examples today of Agents that write entire software applications or respond to customer support tickets. Today, in many ways Agents are where cloud computing was in 2007; that is to say, very early. When you extrapolate this trend out over a decade, we can start to imagine what an entirely different enterprise operation might look like. We can easily picture having highly proficient Agents available for every function in an organization, enabling important work to get done far faster than today. The impact of Agents on the enterprise really has no limit, but X big implications stand out to me: X. Businesses of all sizes will have access to resources and specialized skills that they wouldn't otherwise tap into. Bill Joy, the cofounder of Sun Microsystems, famously said "no matter who you are, most of the smartest people work for someone else." Especially for smaller companies, this has always been a disadvantage. Your larger competitors will always be able to tap into a talent pool that you can't afford or access. Whether it's specialized legal support, or scaling a sales team, AI Agents will enable companies of all sizes the same access to resources that were once only the privilege of a large organization. X. Companies will be able to re-allocate energy and talent to increasingly more differentiating and higher impact work. We know that for various parts of a company, our time is wasted with tasks that computers *should* be remarkably good at solving, but just haven't been able to today. As AI Agents become more robust, many of these activities that we drain our time on can be automated, and we can repurpose time and energy to driving more innovation, getting closer to our customers, better supporting customers, and more. X. As AI Agents play a meaningful role in the operations of a company, this changes the nature of the IT function, making it even more strategic than today. Today, IT is often focused on enabling software for existing workers or workflows in a company. In the future, a company will go to IT for supplying intellectual horsepower as well to the enterprise. Imagine going to IT not just to say "I need software to help my engineers build my product" but instead, "I need software to engineer my product". You can squint and picture in the coming years even a "Workday for AI" where you manage Agents that are running around augmenting the operations of a company. And this is just the beginning... XXXXXXX engagements  **Related Topics** [coins ai](/topic/coins-ai) [Post Link](https://x.com/levie/status/1782164161553961069)
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Aaron Levie @levie on x 2.5M followers
Created: 2024-04-21 21:47:01 UTC
The next big breakthrough in AI is AI Agents. This is when AI goes from being used as an assistant to chat with, to using AI to accomplish complete tasks that a human might otherwise have to perform. This moves AI from being a "read-only" operation to fundamentally a "read/write" operation. Ultimately, this brings us much closer to the full promise of AI, in particular in the enterprise, where AI can begin to complete any part of a workflow, and we're already seeing examples today of Agents that write entire software applications or respond to customer support tickets.
Today, in many ways Agents are where cloud computing was in 2007; that is to say, very early. When you extrapolate this trend out over a decade, we can start to imagine what an entirely different enterprise operation might look like. We can easily picture having highly proficient Agents available for every function in an organization, enabling important work to get done far faster than today. The impact of Agents on the enterprise really has no limit, but X big implications stand out to me:
X. Businesses of all sizes will have access to resources and specialized skills that they wouldn't otherwise tap into. Bill Joy, the cofounder of Sun Microsystems, famously said "no matter who you are, most of the smartest people work for someone else." Especially for smaller companies, this has always been a disadvantage. Your larger competitors will always be able to tap into a talent pool that you can't afford or access. Whether it's specialized legal support, or scaling a sales team, AI Agents will enable companies of all sizes the same access to resources that were once only the privilege of a large organization.
X. Companies will be able to re-allocate energy and talent to increasingly more differentiating and higher impact work. We know that for various parts of a company, our time is wasted with tasks that computers should be remarkably good at solving, but just haven't been able to today. As AI Agents become more robust, many of these activities that we drain our time on can be automated, and we can repurpose time and energy to driving more innovation, getting closer to our customers, better supporting customers, and more.
X. As AI Agents play a meaningful role in the operations of a company, this changes the nature of the IT function, making it even more strategic than today. Today, IT is often focused on enabling software for existing workers or workflows in a company. In the future, a company will go to IT for supplying intellectual horsepower as well to the enterprise. Imagine going to IT not just to say "I need software to help my engineers build my product" but instead, "I need software to engineer my product". You can squint and picture in the coming years even a "Workday for AI" where you manage Agents that are running around augmenting the operations of a company.
And this is just the beginning...
XXXXXXX engagements
Related Topics coins ai