The mind that brought ChatGpt conversation magic and Google's Gemini multimodal power, now has a new home, Meta. In the stunningly talented book of Exodus, filmed in one tweet by Meta's new AI chief, Alexandr Wang, the architects of the current AI revolution have been poached by Openai, Google Deepmind and Anthropic.
Alexandre's tweet is more than just an announcement of employment. It is a declaration of intent. He presents his role as Meta's Chief AI Executive alongside Nat Friedman, and presents Meta's true “Who” with Top-Tier AI researcher Alexandr, showing earthquake changes in the technological environment.
This massive talent acquisition from rivals such as Openai, Google Deepmind and Anthropic is CEO Mark Zuckerberg's most audacious move, dominating the next technology frontier: It represents a calculated effort to strengthen Meta's AI ventures by poaching the very minds that have built up the greatest success of its competitors.
However, this aggressive pivot to super intelligence cannot be seen in a vacuum. It's plagued by ghosts of Meta's past, from the Cambridge analysis scandal to the teenage mental health crisis on Instagram.
Why Meta's AI talent acquisition marks a new era
The list of new recruits is a strategic masterstroke. This isn't just about adding more people. It is to acquire knowledge of the institution and at the same time weaken competition.
According to the report, Zuckerberg personally handles these AI jobs. And he carefully selected the top talent from all his rivals.
From Openai, Meta has poached the GPT-4o's groundbreaking voice and multimodal features, as well as the creators behind the basic model builder. Shengjia Zhao, co-creator of ChatGPT and GPT-4, is currently part of the meta. This is a huge loss for Sam Altman's AI company.
From Google Deepmind, Zuckerberg poached Jack Rae, the pre-training technical lead for Gemini 2.5, and other experts from the generation of images from text. From humanity, Meta poached Joel Poval, an AI company reasoning expert.
This talent raid offers some immediate benefits to the meta. First, it gives instant credibility to do something very serious about AI betting, as new teams have direct and practical experience building and training the world's most advanced models.
Second, it disrupts the competitor's roadmap and forces them to reorganize and replace key personnel. Third, it creates a powerful gravitational gravitational force for future talent, indicating that Meta is now the best destination for ambitious AI work, supported by nearly infinite computational resources and direct paths affecting billions of users.
Can Zuckerberg be trusted in the future of AI?
This aggressive push to AI is in stark contrast to the decisive scandal of Zuckerberg's career. The Cambridge Analytica case revealed a fundamental flaw in Facebook's DNA. This is a platform architecture that prioritizes growth and data collection over user privacy and security, and has since been misused for political manipulation. The company was slow and defensive, and ultimately insufficient to repair the deep cracks of public trust.
Second, a Facebook Files revelations by the Wall Street Journal show that Meta knows Instagram is toxic to the mental health of teenage girls. The company's leadership chose to downplay the findings and continue its product strategies that exacerbated these harms.
Both cases stem from the same fundamental philosophy. It's about moving fast and breaking things. This is a mantra that prioritizes scale and engagement above all else, with social outcomes being treated as unfortunate but acceptable collateral damage.
Applying this spirit to AI is a technology that has a much higher chance of both good and harm, and a frightening prospect. If social supply algorithms can destabilize democracy and harm teenage self-esteem, what super intelligent agents will be deployed to 3 billion users with the same growth mindset?
Historical footnotes aren't the only misfortunes of Zuckerberg's past. They are the core reasons for public skepticism about Meta's AI ambitions.
How Zuckerberg evolved from social media to super intelligence
Mr. Zuckerberg's character is one of relentless, almost singular ambitions, as observed throughout his actions over the past 20 years. He consistently demonstrates his willingness to be ruthless in the competition (cloning Snapchat's capabilities into Instagram stories), long-term bets (earning Instagram and WhatsApp, turning into metaverse), and his ability to withstand enormous public and regulatory pressures.
His critics will argue that he is a leader who lacks a deep, sitting-in-the-moral framework, and that he often insists on retrospectively applying ethical patches only when forced by public protests, while optimizing power and market control.
His advocates might say he is a practical engineer who is learning and adapting. The Cambridge Analytica Scandal has undoubtedly matured him into a global CEO who has at least had to speak a language of governance and responsibility.
How Meta's AI Super Team Challenge Openai and Google
The key question is whether this change is superficial or material. His current strategy with AI suggests potential evolution. The open source of the Llama model can be interpreted in two ways:
On the one hand, it's a sensible business move to commoditize layers of the stack that will attract strong leads and nurture an ecosystem that relies on Meta's architecture. On the other hand, it can be framed as a commitment to transparency and democratization. This is a direct response to the criticism of the “black box” leveled in his past tactics.
This new “super team” will be the ultimate test. Are they on fire with the new ethical charter, or will the great pressure from Zuckerberg to “win” AI races negate all other considerations?
How is the meta positioned in the AI era?
Against OpenAI's closed API first model and Google's integrated but advantageous approach, Meta carries out a unique strategic position. By using llamas as an open source alternative, they fight war on two fronts. Meta is the foundation of default for thousands of startups, researchers and developers, disrupting rival business models.
Zuckerberg hasn't stopped that. He is also publicly committed to acquiring hundreds of thousands of high-end Nvidia GPUs, indicating that his company will not halt computing.
With this new team addition, Meta completes Trifecta: large-scale data, unparalleled calculations, and now the world's leading human talent. The goal isn't just to build chatbots for messengers and image generators for Instagram. As Alexandre's tweet boldly states, the purpose is “towards super intelligence.” This is a direct challenge to the described missions of Deepmind and Openai.
The formation of this AI super team is the culmination of Zuckerberg's pivot from the king of social media to the aspiring AI emperor. It is an act of immeasurable strategic importance, and will soon bring the meta to the top tier of AI development.
However, the success of this venture is not measured solely by the ability of the model to generate. It is measured by whether Zuckerberg can build an organization that he has learned from deep social failures of the past. This is a crucial gambit for Meta's founder. It's an opportunity to redefine his legacy as a leader who came responsible for the age of artificial intelligence, not as the creator of a divisive social network.
Published – July 2, 2025, 11:13am IST
