GuShiio.com Artificial intelligence agents are in the most exciting stage of their infancy, the moment when great companies are born.
Write an article:Sarai Bronfeld
Compiled by: MetaverseHub
The development of artificial intelligence agents will fundamentally change the way people work and will also change the face of start-ups.In the past year, the number of startups based on artificial intelligence agents has soared from single digits to dozens per month.。
In Israel, the number of startups building artificial intelligence agents has surged, with the focus on allowing others to integrate and customize these agents to meet the needs of different scenarios.
Many of these companies are leveraging Israel’s strengths in cybersecurity, data science and enterprise software to create AI agents that can solve vertical industry issues, such as medical diagnostics and predictive security.
At the same time, horizontal applications such as workflow automation and personalized customer engagement have also emerged.
As people start to look at more of these artificial intelligence agent-led start-ups, they will notice that they are following certain common patterns.
For example, a start-up that was originally assisted by general artificial intelligence is transforming into a complete “artificial intelligence organization.”
With every major advance in the AI agent space, we are getting closer to the trend we began predicting a few years ago: more and more companies are emerging that rely on AI to automate their operations, with humans only responsible for making key strategic decisions.
The momentum has been going on for several years, but now feels like a turning point.
OpenAI CEO Ultraman predicts that this year will be the year when artificial intelligence agents truly join the workforce.By 2027, at least half of companies will launch some form of artificial intelligence agent。
And this is just the starting point.
In the near future, people may see an entire economy made up of these AI-first organizations. If you want to build a truly lasting company, you must see this development direction.
Maybe companies will then hire AI agents, and humans will work with them and even compete with them.
What will happen next?
Here are five possible stages of evolution for artificial intelligence agents:
01. General chat
The first wave of AI collaborators are basic models (generic LLMs, such as ChatGPT or Claude).They break through the user experience and help people understand the broad capabilities of artificial intelligence。
However, artificial intelligence is just a tool, and humans are still leading the way in injecting context, rationality and empathy into artificial intelligence.
As early adopters said, these universal tools are “owners without owners.” This has turned the landscape of artificial intelligence start-ups into its first evolutionary stage.
02. domain experts
Universal artificial intelligence can read, write, and perform tasks under the right guidance. However, general-purpose artificial intelligence tools still perform poorly in ultra-specific industry environments.
Shortly after the rise of general artificial intelligence, people began to see the emergence of real “experts” in the field of AI.
Artificial intelligence seems to be able to solve problems without excessive human prompts, and chat is still the main interface for these systems, but many companies have built additional industry-specific features on top of Chat features.
Law is one example, with companies such as EvenUp and Darrow demonstrating the power of artificial intelligence trained in specific legal data corpus.
These AIs can understand the nuances of legal language and generate professional-level legal material。
03. Artificial intelligence agent (current stage)
There are still many excellent companies conducting business at the expert level in the field of artificial intelligence.
But in the past year or so, there has been a clear shift from chat-based value propositions to action-based value propositions.
Universal artificial intelligence tools and domain experts are true “co-drivers” who can create new connections, generate articles, or provide new material. But humans still need to take action to make these tools truly work.
Starting in April 2023, people will begin to see that artificial intelligence can perform some more advanced tasks.。
The most famous examples of artificial intelligence agents are in the field of code generation, such as OpenAI’s code interpreter or Cognition’s AI programmer Devin.
But this concept has gone far beyond the scope of code generation, and has entered a more complete “job description.”
There are now more and more AI agents that specialize in performing specific tasks. The packaging and combination of these tasks has huge potential and can be transformed into real services.
For example, Enso, backed by NFX, is creating an artificial intelligence agent market for small and medium-sized businesses.
Once people continue to improve AI’s ability to complete tasks and take action without extensive human supervision, there will be no turning back.
04. Artificial intelligence agent innovation
Once AI agents can continue to perform tasks, people will soon see agents with innovative capabilities.If people allow artificial intelligence to generate and explore new directions of knowledge, its value will be elevated to a whole new level.。
People can look at this problem in the way they think about how the human brain solves problems and uses creativity.
People have task-oriented “if-then” brain presets that help people perform tasks and solve problems.
But we also have an active subconscious, and that way of thinking opens when you are not focused on solving problems, such as taking a bath or taking a walk.
Have you ever had the experience of putting so much effort into writing or solving a problem, and then solving it easily after walking around?
This is the result of your subconscious mind exploring new creative methods freely. Most new, creative ideas emerge in this state.
Artificial intelligence innovation agents will be able to carry out this subconscious exploration。They are not bound by logical “if-then” statements that create narrow thinking.
Imagine asking a group of AI agents to develop a software feature on Monday, and by Wednesday, you will find that the agents have improved your original needs and developed better features based on trial and error experience and market analysis.
When the goals themselves are abstract (increasing sales, improving software performance, and making users like my applications), planning goals and developing paths will be the key to the next stage of AI agent development.
This is also an important factor in making AI agents truly a mature labor force.
Pure automation without critical thinking is the lifeline for the lowest hanging fruit in the economy. But it doesn’t solve the biggest and most valuable problems. Creativity is.
The key to unlocking lies in trust.People need to have confidence in AI agents to make strategic decisions, not just task-oriented decisions。
Some trust must be established through technology. People need two things: interpretability and infrastructure. These two things may even become industries in themselves.
For example, NFX-backed Maisa is improving its “proof of work” for artificial intelligence agents, a key factor in building trust in the entire agent ecosystem.
Emcie, another company invested in by NFX, is developing the infrastructure needed to create super-specific artificial intelligence agents for individuals and businesses.
This trust will develop culturally. The more people see artificial intelligence making intelligent decisions and creating better results, the faster the future will come.
Early adopter groups will be key。Small and medium-sized enterprises or companies that simply cannot hire people to meet their needs will take the first step, while other parts of the ecosystem will wait and see and follow.
It will touch all industries. For example, in the field of education:
05. AI-first organizations
With proxy AI workers, AI innovation, and systems of trust and interpretability in place, people will eventually see the rise of true AI organizations.
These organizations are a collection of AI agents and AI innovators capable of conducting a wide range of actions。
This is the artificial intelligence that people often hear about in science fiction.
At worst, you can read about this kind of artificial intelligence in Daniel Suarez’s Daemon, or in Naomi Kritzer’s Improving Lives through Algorithms.
These agents can make decisions in complex environments where there are many potential goals worth achieving.
The difference here is that artificial intelligence itself will be able to choose which goals are best and design a path to achieve them.
AI will take most of the actions, and you will fight side by side with AI, reviewing and auditing the routes it takes.
It is conceivable that a self-managed supply chain could oversee the entire process from production to delivery and have spawned automated financial transaction companies composed of many artificial intelligence agents.
People don’t expect this to happen immediately, it will happen step by step.
As trust and technology develop, artificial intelligence will begin to take on increasingly large tasks.In fact, people are still in the technical window for artificial intelligence agent systems。
The people who really understand this are still the hard-working builders and amateurs.
But soon, an artificial intelligence-led organization will emerge, and people will usher in the “ChatGPT” moment. Before the advent of ChatGPT, how many people really understood the functions of artificial intelligence?
If you know where people are going, you will be one step ahead.
In Israel, the artificial intelligence proxy market is booming, with start-ups taking full advantage of local expertise in machine learning, cybersecurity and automation.
People are seeing that more and more companies are building basic agency platforms that can be customized by other companies, such as Enso.
Start-ups here have begun to address vertical challenges in areas such as fintech, logistics and healthcare, and are positioning themselves as important contributors to the rapidly growing artificial intelligence ecosystem.
AI agents are here, AI innovators are here, and AI organizations are here.
So, now ask yourself, what is preventing these things from entering my field? How to eliminate obstacles? Or, once they are eliminated, how will I become the main beneficiary?
Not every company should focus on building artificial intelligence agent infrastructure。
But you can understand how the overall economic benefits in your field will transform when people unleash these new labor pools.
You can also think about what psychological impact this will have on the team, what would it be like to manage only AI employees? Or, conversely, what about when humans are managed by AI?
At NFX, people’s job is to study how transformative technologies work. These shifts come with timing, and as technology changes, certain skills will become more important or be weakened.
We also need to deal with psychological changes and the new opportunities that arise.
Artificial intelligence agents are in the most exciting stage of their infancy, the moment when great companies are born。
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