Why Is Jeff Bezos Raising $100 Billion To Bring Ai To Factories? Here's What To Know

Jeff Bezos is trying to leapfrog into nan artificial intelligence title pinch a $100-billion money to get manufacturers and bring much AI superpowers to mill floors.

The Amazon laminitis has reportedly traveled to nan Middle East and elsewhere to meet pinch imaginable investors for nan monolithic fund. If he succeeds, it would beryllium 1 of nan largest buyout costs and could alteration nan measurement products are designed, made and distributed.

Here is what you request to cognize astir nan large plans:

What is nan fund?

Documents connected to nan money described it arsenic a “manufacturing translator vehicle” that would bargain companies that could usage an AI upgrade successful sectors including spot manufacturing, defense and aerospace, according to the Wall Street Journal.

The money is expected to usage AI solutions developed by a caller Bezos-backed venture, Project Prometheus, for manufacturing.

Since stepping down arsenic main executive of Amazon successful 2021, Bezos has turned his attraction to his abstraction company, Blue Origin, and his newspaper, nan Washington Post. He remains connected Amazon’s committee arsenic its chairman.

But past year, successful 1 of his first charismatic activity roles aft Amazon, he became co-CEO of nan little-known Project Prometheus.

His co-founder and co-CEO, Vik Bajaj, is simply a professor astatine Stanford’s School of Medicine who antecedently co-founded Google’s life subject division, Verily. David Limp, nan CEO of Blue Origin, was appointed to Prometheus’ committee of directors.

Project Prometheus has raised $6.2 cardinal successful funding, including from Bezos. The startup does not person a website, but nevertheless it has poached apical AI researchers from OpenAI and DeepMind.

What is Project Prometheus?

Project Prometheus is building an AI strategy to simulate and foretell real-world behavior, according to reports.

Its technology, for example, could simulate really aerial flows astir airplane wings, aliases foretell wherever a metallic portion mightiness ace nether pressure, nan the Journal reported. Without flying an existent plane, companies tin usage AI to make scenarios to unit trial nan wings truthful a level tin beryllium brought to marketplace faster.

Chatbots specified arsenic ChatGPT are ample connection models that were trained connected immense quantities of text, images and videos from nan internet. They identified patterns successful online accusation and learned to mimic really group drawstring words, euphony and pixels together.

They are bully astatine creating images, matter and code, and moreover solving analyzable math. Most of those AI capabilities beryllium successful nan integer world, and galore companies are trying to find much ways to bring AI into beingness workspaces, whether it is washing dishes, delivering packages aliases building products.

Project Prometheus intends to build AI that simulates and understands nan beingness world.

How is AI coming for beingness manufacturing?

“For decades, manufacturing invention has been constrained by really agelong it takes to trial beingness ideas,” said Pete Schlampp, CEO of Luminary, an AI startup that enables simulation for engineering based connected nan laws of physics. “AI is changing that by allowing engineers to foretell real-world capacity overmuch earlier successful nan creation process.”

Engineers walk months designing beingness things — airplane wings, chips, supplier molecules, robots aliases car parts — and earlier building them, they request to trial them.

Traditionally, testing and fixing designs tin return months aliases moreover years. Now, companies are training AI models connected nan output of thousands of simulations they already have, truthful they tin study to foretell nan correct result successful seconds.

“Instead of validating 1 creation astatine a time, teams tin now research thousands of options digitally earlier building anything,” Schlampp said successful an email. “This displacement is moving engineering from trial-and-error toward prediction-driven design, which tin importantly accelerate invention successful industries for illustration aerospace, automotive, and business machinery.”

AI is further boosting beingness industries by optimizing nan stages that travel aft design, including conveyor-belt manufacturing, value inspections and factory-floor operations.

Companies specified arsenic Nvidia person introduced devices for manufacturers to create “digital twins” that reflector unrecorded factories aliases warehouses, to scheme layouts and emblem anomalies — some earlier building and aft deployment. Carmaker Mercedes Benz uses integer twins of its factories and assembly lines to trim downtime, and besides to trial its driving package successful simulations earlier real-world deployment.

Bezos has led Amazon to automate overmuch of its monolithic distribution network, which now whitethorn person much robots than people by immoderate measures. He besides has backed Physical Intelligence, a institution that uses AI successful robotics.

Software represents astir $1 trillion of economical activity, while manufacturing accounts for person to $17 trillion globally, according to Schlampp.

“Efforts for illustration Project Prometheus bespeak a increasing belief that AI tin thrust awesome economical effect successful nan beingness economy, not conscionable successful package aliases back-office automation,” Schlampp said.

Boosters judge this is simply a basal move to reindustrialize America astatine a clip erstwhile China is dominating manufacturing.

Is this going to deed jobs successful California?

It’s still unclear whether California companies would beryllium imaginable targets of nan fund, though nan authorities has galore companies successful nan sectors successful which it is reportedly interested.

A $100-billion warfare thorax to automate manufacturing already is exacerbating fears that AI is coming for everyone’s jobs.

“Oligarchs are waging each retired warfare against workers. FIGHT BACK,” Sen. Bernie Sanders posted connected X. “Jeff Bezos, worthy $234 billion, plans to switch 600,000 Amazon workers pinch robots. Now, he wants to walk $100 cardinal to afloat automate not conscionable his warehouses, but factories successful nan U.S & different countries.”

Optimists opportunity that introducing AI successful nan manufacturing process lowers nan costs and velocity of designing beingness products, which yet will grow these industries.

“If companies tin bring amended aircraft, vehicles, power systems, and infrastructure to marketplace faster and much efficiently, that tin thrust caller finance and maturation crossed precocious manufacturing sectors,” Schlampp said. “That maturation tin support occupation creation, moreover arsenic parts of nan workforce will request to reskill arsenic AI becomes much embedded successful business workflows.”

He predicts that AI will not switch engineering, but will alteration wherever engineers and technicians walk nan mostly of their time, shifting their attraction from repetitive validation tasks to higher-level strategy creation and innovation.