One of the latest trends in Artificial intelligence (AI) Industry is the competition between technical giants to hire talent. This has manifested through technical giants that get themselves Promises AI -StartupsAnd explicitly hiring and crawling talent from one technical giant to another. But why is this happening?
We have reached a point where companies are trying to position themselves to catalyze Next innovation in AI. Ironically, in an industry that is obsessed with automating people from the loop, it looks like companies are investing in talent being X-Factor in AI-Innovation, which is why they try to steal talent from each other in increasingly aggressive ways.
Why Meta and Google Acquire AI -Startups
In the past months, meta (Nasdaq: Meta) has been Active Creeze Shoei scientistand it is rumored that it offers potential and successful employment Multi-million in salary and bonuses. In addition, Meta recently took a 49% share in scale AI And, as part of the deal, Alexander Wang added, scale AI’s CEO at the acquisition, to Meta’s leadership team to lead a new Superintelligence Research Lab.
Lately, Google “Acquihired” Windsurf. Affären ger Google en icke-exklusiv licens för viss Windsurf-teknik, men ännu viktigare-åtminstone för Google-det tillät det att anställa Windsurf VD Varun Mohan, medgrundare Douglas Chen, och välja medlemmar i kodverktygets forsknings- och utvecklingsteam till The the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the the one the the the the the one Google Deepmind AI Division.
Although there are shares or license agreements linked to some of these offers, what seems to be of greater interest in hiring/acquiring companies is the people involved in the transaction. It seems that the technology giants are currently trying to prepare teams responsible for the next leap forward in innovation, which is why they look in industry and emphasize some of their biggest competitors, to make the talent that they believe will make the difference.
Why technical giants are betting on people
These types of movements: Creep protection, acquisitions, lateral employment, are common when an industry hits a bending point, usually when the early stage of growth comes in the end and the companies enter a high -competence phase, which usually precedes the industry and consolidation.
It is obvious that the AI industry is at this time on its journey. As I have explored in previous articles, The industry has stagnated to a certain degree. What enabled companies to achieve success early in their life expectancy, which was access to data and hardware, is that it gives declining returns, which means that something will need to be changed for AI to get to the next level. Right now everyone is looking for the edge, and it seems that companies are convinced that the edge comes from who they have, not just what they build.
Hardware and data are finite, but human capital And the return that can come from a single person or a team is potentially unlimited, especially in an era where the productization of AI is becoming increasingly important. These ideas and new features do not emerge from thin air; They come from people and teams with many years of experience and deep understandings of how AI models work and can be used to solve problems. It is people’s capacity in these teams that can either speed up or hinder AI’s progress and ability to innovate, which is probably one of the reasons why we see technical giants that invest in the idea that someone out there has the key to unlocking Next big innovation or product in AIWhy they do what it takes to make sure the person is working for them.
AI’s next phase
At this time, the window to compete on basic models has closed. The war for the “best” AI model has already won by a small group of companies with significant amounts of computing power, data and, most importantly, money in the bank. It made it possible for them not only to move forward but also stay forward.
These are the same company that is actively looking for talent and acquisition opportunities at the moment. But since so much of AI’s future will be built on top of the few models that can do the job, it will be difficult, perhaps even impossible, for other companies to catch up if they do not have a war chest that is large enough to raise the costs of owning, working and continuing to train and develop an AI model; So where do we go from here? What is left to compete at?
In addition to competing for talent and given that the war for the “best” AI model is over, the next big battle front will be productization. The AI industry has promised the world several products that have not really been delivered as promised, AI agents to be one of the largest. Since most of the “best” AI models effectively do the same job and have very similar interfaces, the battle may need to come from completely new product categories or better user interfaces, which do not necessarily come from scale or have better data, but come from the brain of any talented team member or team.
That is why we see all the poaching and acquisitions take place, which looks more like drawing up a team than they do true M&A. This is also why we will probably see this trend continue in the short term, as the next phase of AI is not about AI models in particular, but the problems they solve and therefore the actual demand they create in people’s lives, and it starts with the AI service provider that gathers a team that can bring these ideas to life.
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Look at | Alex Ball on the Future of Tech: Ai Development and Entrepreneurship
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