Startup AhropicWhich by former Openai employees including Dario Amudi And Daniela Amoudi Founded in 2021, recely collecting 3.5 billion dollars of capital In a round of financing, their value to $ 61.5 billion Has done. This success, along with the rapid growth of the company’s annual income from $ 1 billion to $ 1.4 billion in only 6 weeksIt shows a new fever in veure investme in the field of artificial ielligence.
Why is Ahropic attractive?
In a conversation with Dabagia (you saw) DasThe manager of Menlo Veures, who has been involved in the financing of Ahropic, pois out that their main belief was based on comparison with the growth of Openai:
“If Openai has been able to grow so much, the ahropic can definitely be enormous.”
This view reflects investors’ trust in startups that have been separated from promine artificial ielligence laboratories such as Openai and Deepmind. Investors believe that these individuals, with their specialized experience and knowledge, may achieve new discoveries that curre laboratories are unable to do.
Increased investme in artificial ielligence startups
The curre trend shows investors’ strong ierest in artificial ielligence startups, even in the early stages without tangible products. Examples such as:
- SAFE Superiellight (SSI): Founded by Ilya SatskorFormer OpenAi senior scieist, valuable $ 30 billion.
- Thinking Machine Labs: Launched by Mira MoratAnother former Openai employee.
This trend reflects the high risk approach with high reward in veure investme. According to Das:
“Most of the financing is happening in the boom and recession cycles, but the overall trend is growing.”
The future of artificial ielligence in India
India, as a developing coury in the field of artificial ielligence, faces challenges to compete with Western laboratories. Das pois out that the curre size of India’s curre market is not yet enough to attract heavy investmes in research and developme.
However, he views localized models of artificial ielligence, especially in the field of Indian languages and audio programs, an opportunity for India. Also, he believes that Western laboratories have not been very effective in developing Foundational Models for non -English languages, which could create an opportunity for Indian artificial ielligence ecosystem.
Coding Automation and Hiring Engineers
One of the hot topics in the field of artificial ielligence is coding automation. Dario AmudiAropic CEO, believes artificial ielligence is less than less than Another 6 mohs It can 1 % coding To do. However, the recruitme pages of these laboratories are still full of job opportunities for software engineers.
Das explains that more automation is related to the stereotype codes, and for more complex systems such as the Google -scale search engine, human skills are still irreplaceable.
Challenge of “wrapper AI” startups
The discussion in the field of artificial ielligence is the value of the “Wrapsy AI” startups; Companies that are merely moued on other models. Das believes that these companies should provide a value beyond direct access to models such as ChatGPT or Claude to attract and retain users.
Successful examples Cresor And Plyxiti They have shown that if a startup can attract, hold and make money, its independe value becomes more importa.
Era of low -cost and billion dollar startups
Today, we are seeing startups that come with small teams and lightweight structure:
- Cresor: With 2 employees, annual income of $ 5 million.
- Midjarni: With 2 people, $ 5 million revenue.
- Bolt.Neo: With 2 employees, $ 5 million in four mohs.
- Lavibel: With 2 people, revenue of $ 5 million in 7 days.
However, Das pois out that this model is not applicable to all industries. She says:
“While artificial ielligence and cloud -based startups succeed with small teams, some industries, such as Eerprise SaaS, still need a lot of manpower.”
Conclusion: The Vision of Investing in Artificial Ielligence
The process of investing in artificial ielligence startups reflects a major change in how to evaluate and support companies. Startups like Ahropic With their rapid growth, they have gained the confidence of investors to the founding teams and their ability to discover innovative solutions.
At the same time, the emergence of small, powerful startups reflects changes in the organizational structure and how to succeed. With the rapid progress of artificial ielligence, the future of risky investme is moving towards larger risks and wider rewards.
