Meta spending big on AI talent but will it pay off? | | cbs19news.com
Meta chief executive Mark Zuckerberg's controlling interest in the tech titan frees him to have the company invest heavily in artificial intelligence efforts. Mark Zuckerberg and Meta are spending billions of dollars for top talent to make up ground in the generative artificial intelligence race, sparking doubt about the wisdom of the spree.
Recruitment Efforts
OpenAI boss Sam Altman recently lamented that Meta has offered $100 million bonuses to engineers who jump to Zuckerberg's ship, where hefty salaries await. A few OpenAI employees have reportedly taken Meta up on the offer, joining Scale AI founder and former chief executive Alexandr Wang at the Menlo Park-based tech titan.
Meta paid more than $14 billion for a 49 percent stake in Scale AI in mid-June, bringing Wang on board as part of the deal. Scale AI labels data to better train AI models for businesses, governments, and labs.
Strategic Partnership
"Meta has finalized our strategic partnership and investment in Scale AI," a Meta spokesperson told AFP. "As part of this, we will deepen the work we do together producing data for AI models, and Alexandr Wang will join Meta to work on our superintelligence efforts."
Concerns and Speculations
Tech blogger Zvi Moshowitz felt Zuckerberg had to do something about the situation, expecting Meta to succeed in attracting hot talent but questioning how well it will pay off. While Meta's share price is nearing a new high, some investors have started to worry about how well Meta is managing its cash flow and reserves.
Meta executives have laid out a vision of using AI to streamline the ad process from easy creation to smarter targeting, providing a turnkey solution to brands. AI talent hires are a long-term investment unlikely to impact Meta's profitability in the immediate future.
Future Outlook
According to CFRA analyst Angelo Zino, investing aggressively in AI talent is essential to be ready for the phase of generative AI. Zuckerberg is considering shifting away from Meta's current AI model, showing potential for Meta to succeed with AI agents tailored to specific tasks.
Even without the most advanced models, firms like Meta can succeed as long as their models perform well within their specific market segment.
Originally published on doc.afp.com, part of the BLOX Digital Content Exchange.
