Predictions on How AI Agents Will Actually Be Used
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Today, on the a daily brief, mark bin off on the era of agents, the A I daily brief is a daily podcast in video about the most important news and discussions in A I to join the conversation, fall the discord .

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Hi hello, friends, we are back with another long reads episode of the daily brief and as is, I expect going to be a big topic as we come into end of your summary and next year predictions. We are discussing agents specifically. We're reading an essay from sales for CEO mark about the agent era that is quickly emerging.

Now bending off has a very particular take in this. He has verbally assaulted microsoft for selling the worlds bill of goods with the assistant era of A I, and has gone all in on their agent force platform as the future of sales force and the esa. We're about to read or rather, i'm going to turn over to the eleven labs version of myself to read bin off discusses the disruption that coming down the line and what that will mean on the other side.

Let's listen to what he has to say and then i'm onna. Come back and play a quick game of agent predictions. Over the past two years, we've witney advances in A I that have captured our imaginations with unprecedented capabilities in language and ingenuity.

And yet as impressive as these developments have been, they're only the opening act. We are now entering a new era of autonomists A I agents that take action on their own and augment the work of humans. This isn't just an evolution of technology.

It's a revolution that will fundamentally redefine how humans work, live and connect with one another from this point forward. Today were already used to predictive A I, which analyzes data to provide recommendations, forecasts and insights, and generative A I, which learns from data and uses patterns to seamlessly generate text, images, music and code agents are software components that go far beyond this. They can perform tasks independently, make decisions and even negotiate with other agents on our behalf.

And unlike the traditional tech transformation of the past, which required years of costly infrastructure built out, these new A I agents are easy to build and deploy, unlocking massive capacity. This is a new horizon with radical implications for the first time. Technology isn't just offering tools for humans to do work.

It's providing intelligence, scalable digital labor that performs tasks autonomously. Instead of waiting for human input, agents can analyze information, make decisions and take action independently, adapting and learning as they go. Take, for example, a large retailer during the upcoming holiday season.

Traditionally, human workers or pre program software r might handle customer inquiries or inventory updates, but now intelligent digital agents can respond to customer questions in real time, monitor stock levels, reorder inventory and even coordinate with shipping providers, all without human intervention. These agents are enabling an entirely new scale of Operations that was previously not possible. This shift to intelligent digital labor is already unlocking capacity across industries.

It's no longer constrained by human availability or physical limits, allowing businesses to scale their Operations while driving down costs and improving responsiveness or by geographical limits like any change of this magnet de. The shift to agents comes with clear chAllenges and understandable fears. We need to make sure A I systems are built with trust, accountability, fairness and transparency as core values.

We need to make sure as A I transforms how we work, that we invest in the training, creativity and critical thinking skills that are uniquely human and recognizing A S impact on our carbon footprint. We need to make sure that we're investing in sustainability, ecover neurons and nature based solutions. If we face and address these concerns, it's possible to envision new levels of abundance enable by an expansible digital workforce that learns and grows more capable all the time.

The potential of agents isn't limited to businesses. These technologies have the potential to profoundly dly enhance the lives of individuals as well. We'll all have access to specialized agents that can navigate different parts of our lives.

For example, every student will have an own, always on personalized to, or an agent embedded in their everyday technology that acts an intelligent companion guiding them throughout their learning journey. At every stage, our personal agents communicating with other agents will help manage our daily routines. From ordering groceries for us to scheduling appointments, AI agents are already transforming how we deliver health care.

We know that doctors and nurses are facing tremendous burnout, and there are provider shortages in many communities. As one of the world's largest medical systems has recently discovered, using our platform agents can alleviate administrative burdens, improving patient communication while giving providers the space to focus on complex cases that demand their expertise. Over time, patients will have access to an A I agent that reaches out to check on you after a procedure, reminding you to follow up on test results and asking if you have any unexpected reactions that need to be addressed.

IT will monitor patient progress, and even we schedule labs or appointments as needed, all while maintaining a detailed understanding of the patient's medical history and ongoing treatment. Some companies will strugling to adapt. Nearly every job will change in some ways.

And yes, some will go away. In the past, we've seen companies and sometimes entire industries rise and fall with new inventions, jets, satellite, the internet, the smart phone, renewable energy. Ultimately, however, these innovations create far more new jobs that they display.

In one thousand nine hundred and fifty, for example, forty three million americans had jobs. By twenty, twenty over one hundred fifty two million americans were employed. Multiple factors played a role, but that is more than one hundred million new jobs in a period of profound technological change, many in categories that did not exist before. The key has always will be to invest in the education, in training that equipped workers and Young people with the skills to succeed in the new jobs in industries to come. The benefits A I agents bring both individuals and businesses will far outweigh initial disruptions.

After all, growth in the country's GDP is the product of growth in the labor force and in productivity, with the labor for stagnating or even shrinking in some regions in industries, countries will need to rely more than ever on boosting productivity, especially in the services sector, which is now the bulk of modern economies today. With the human labor force growth stagnant in many places, exceptional productivity driven by a digital agent force is vital for GDP growth. Agents amplify human labor, driving innovation and efficiency.

Productivity rose two point two percent in the third quarter of twenty twenty four, fuelled in part by A I. Finally, A I agents will drive innovation. IT will continue to jump start countless new companies just as the birth of the microchip more than sixty five years ago sport the creation of iconic companies like apple, dell and microsoft.

More than five thousand new artificial intelligence companies have been funded in the U. S. Alone over the last decade.

This two will create significant numbers of new jobs, both with in tech and across the global economy. All of this is a reminder that technology itself is neither good nor bad. What matters is how we use IT without proper oversight and training data.

Autonomous A I can make choices that conflict with our wishes, or even with human values or ethics, such as prioritizing profit over safety or discriminating against certain groups, harnessing the power of agents. A I effectively will require a multi stakeholder approach, businesses, governments, non profits and academia working together to create guard rails and guidelines. We are already seeing some of this, and efforts, such as the framework by the g.

Seven nations, emphasizing accountability, transparency, safety and data privacy. Another example is the blood declaration by twenty eight countries in the european union that emerged from the U. K.

A, I. Safety summit that I and other tex CEO attended last year, agreeing to collaborate on A I safety and development. A I itself can play a role in guiding us through the disruptions to come.

As M I T economist David auto argues, A I has the potential to act as a levelling force, lowering barriers to entering the workforce by giving people access to tools and knowledge that were once reserved for a privileged few. Look, for example, at how our agent force platform is transforming the college admissions process for the nonprofit college possible. In many areas of the country, high school college counsellors are responsible for many hundreds of students, making individual guidance almost impossible in less than a weak college possible.

Use our platform to create virtual college councillor for high school students. Now any student can get college prep support to augment sessions with a human councillor. This virtual councillor tracks the conversations in those sessions, has deep knowledge of colleges and access to student transcripts already house within college possible to provide guidance.

This is a powerful expansion of labor potential, unlocking new ways to support students where traditional resources have been limited. In fact, we are already seeing similar possibilities in recruiting and human resources. Billions of resumes es are submitted each year, but finding a job shouldn't feel like submitting your resume into a void.

The a deco group, one of the worlds largest recruiting companies, handle three hundred million job applications a year, but historically can only respond to ten percent. It's now using our platform to be qualify applicants, enabling IT to engage with every applicant within twenty four hours while freeing human recruiters to work more closely with candidates on the way to job placements. I've always believed that business is the greatest platform for change today as we stand at the brink of this new agent tiera, i've never been more confident in the transformative change that's possible.

A I has the potential to elevate every company, fuel economic growth, uplift communities around the globe and lead to a future of abundance. If trust is our north stars, we navigate this new landscape. Agents will empower us to make a meaningful impact at an unprecedented scale. Today's episode is brought to you by vantage.

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All right, we are back now. I think a lot of bennie h has to say here is dead on, even though, of course, he is not a particularly on bias source. What I thought would be fun to round out this episode is to give you a few of my quick hit predictions.

When IT comes to agents, specifically, a few common things that people think agents are going to do. I'm going to go through and say, first, the thing that people think agents will do in the future and then whether I think it's actually going to come to pass. And let's start with one where I may be on a very different side.

In many personal assistance agents, IT seems like every general list agent uses ordering food or booking flights as its example of what I can do. So do I believe that that will become Normal behavior? Absolutely not.

I fairly, fundamentally don't believe that we will turn over these types of tasks that involved ultimately not a lot of effort and a ton of nuance detail that's really hard to capture. And guess that part of this is just that I don't think there's all that much pain and book fights are ordering food. But the other part is that by nature of being, humans were Carrying a million different ways of looking at any different decision that could change on a moments notice.

I think programing the AI to be as good as us and making decisions for ourselves is going to be a lot harder than people think. Now will there be agents to help with things like reviewing flight options and doing research? sure.

I just think the actual act of outsourcing the bye button is mostly about showing off what agents can do, rather than really solving a big problem that people actually have. But now let's move over into agents in the workplace. The big question I think that people are asking is, will agents replace roles? In other words, will agents replay entire job categories?

The short answer is yes in some very specific situations. But more broadly, I think that the replacement and disruption is going to happen at the task and activity level. If one views a job as a collection of task and activities that, by virtue of the person being who they are, can add up to a hole that is more than the sum of its parts, there are a lot of tasks in anyone's given role that are going to be good father.

For disruption and automation, I think we will see entire categories of work that we do identified and moved off of our plates. I think the number of jobs that are completely made up of tasks like that is actually fewer than we think. And so this gets to my next question, will agents transform rules? And that answer is absolutely yes. I believe that they will transform rules in the way that I just mentioned by automating certain categories of tasks and activities. But as to the question of whether in the future everyone is going to be a manager where they have a group of variance at their disposal who do things for them, I actually kinder think that answer is yes as well.

And this is one where a lot of very smart people aren't sure as I am, I think that the modality of viewing an agent that's good at a particular thing as an employee or a consultant or a contractor to deploy against particular problem that you are trying to solve actually might end up being a pretty good way of looking at agents. I think it's is a way that people will begin to be able to integrate them and view agents has fundamentally additive and allowing them to accomplish more flipping back to the consumer side, will we have to get used to interacting with agents? And the answer for here is absolutely, definitely yes.

Already we interact pretty frequently with very unsophisticated agents. And the opportunity to a level from that into a customer service system that actually sophisticated, good at solving your problems with agents, but also good at writing you to humans when they can be solved easily with agents, I think, is going to be the way that most of us have our first interactions. Lastly, will agents be released to generate businesses on their own? This is where we get a little bit more far out.

But I think that the answer here is definitely going to be yes as well. The question will be what guard rails we set around them. But there was a while ago an idea that maybe the new turing test should be whether an agent can start a business from scratching and make a million dollars.

If starting a crypto meme coin and getting to a million dollar market cap counts for that, then its already been breached. But I think in terms of making an actual productive business, it's kind of an interesting heroic. Anyways, there is going to be a lot more agenticity cussion coming up. Let me know how you're thinking about them share in the comments on youtube or on spotify for now though, that is going to do IT for this long, great episode preciate you listening or watching as always, until next time peace.