Meta exec said company was behind on A.I., report says

Tech giants have been racing to gain an edge in artificial intelligence for years, but one company may be playing catch-up as the pressure intensifies. In a memo from September, a senior executive at Facebook parent Meta reportedly noted that the company still lagged behind in A.I. 

“We have a significant gap in our tooling, workflows and processes when it comes to developing for A.I. We need to invest heavily here,” said Santosh Janardhan, the head of infrastructure at Meta, wrote in an internal message board in September, Reuters reported Tuesday. 

The memo also stated Meta’s A.I. work would require it to “fundamentally shift our physical infrastructure design, our software systems, and our approach to providing a stable platform.”

Almost a decade after starting to invest in full-fledged A.I. research and pouring several billions of dollars into the effort, Meta seems to still have fallen behind in adopting the hardware and software to support its A.I. ambitions, the Reuters report said, citing interviews with people close to the matter, company statements, and the memo. 

The tech behemoth, which also owns Instagram and WhatsApp, is now trying to grow its A.I. prowess for amid the meteoric rise of OpenAI’s ChatGPT, a chatbot that can give detailed answers to prompts in a matter of seconds. But in addition to its shortcomings with A.I. infrastructure, Meta has been hamstrung in the race by its focus elsewhere including on the metaverse, a virtual universe that has been one of CEO Mark Zuckerberg’s obsessions, according to Reuters.

In February, Meta announced a tool, LLaMA, that it would use in its chatbots and other tools as it tried to compete with rivals Google and Microsoft. But with two rounds of layoffs and leadership changes, Meta is scrambling. 

Part of the issue identified in Reuters’ report is Meta’s late adoption of Graphics Processing Units, or GPUs, which can help speed up tasks, cutting down the time needed to process vast amounts of data and making it a fit for certain A.I. projects. Meta was also reportedly using its own custom inference chips, a process in which A.I. algorithms answer prompts and make judgements. The approach of using GPUs and custom chips slowed the company’s A.I. progress, according to two sources with knowledge of the matter, Reuters reported. Meta eventually stopped using its in-house chips and opted instead for chipmaker Nvidia’s GPUs, but by this time it was already well behind its competitor, Google.

It was also around this time that Meta had a shake-up in its leadership on the A.I. infrastructure side—including Janardhan taking on his role as the head of infrastructure.

Meta has been increasing its capital expenditures, or money invested on the company’s fixed assets like equipment or land, through 2022, according to Reuters. That increase alone was as high as $4 billion per quarter through much of last year and is expected to continue to remain high through 2023 as well. This increase is, in large part, due to Meta’s bid to expand its A.I. capacity, Reuters reported.

But the Menlo Park, Calif.-based company, which first began its full scale A.I. research in 2013, believes it can still break new ground when it comes to this technology. 

“Meta has a proven track record in creating and deploying state-of-the-art infrastructure at scale combined with deep expertise in A.I. research and engineering,” a Meta spokesperson told Fortune, echoing the remarks it made in the Reuters’ report. 

“We’re confident in our ability to continue expanding our infrastructure’s capabilities to meet our near-term and long-term needs as we bring new AI-powered experiences to our family of apps and consumer products.”