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The Pope Wants Silicon Valley to Take AI Risk Seriously
Plus: AI Money Is Flooding Into Climate Tech
Jafar Najafov
September 29, 2026 • Read this in 3 minutes
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AI is moving far beyond chatbots. AMD is spending $8.2 billion on world models. Pope Leo is pushing for serious AI safety discussions. And climate startups are riding booming data-center demand. Three different stories, but one clear shift: AI is now reshaping technology, institutions, and entire industries at once.
In today’s post:
The Pope just entered the AI safety debate
AI money is reshaping climate tech
AMD just made an $8.2 billion AI bet
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What’s Trending Today
POLICY
AI safety is no longer just Silicon Valley’s argument.
Image credit: Euro News.
Pope Leo XIV just weighed into the AI debate. He says researchers’ safety concerns deserve serious attention. But he isn’t predicting disaster. Instead, he wants governments, companies, and society talking now. Because waiting could make tomorrow’s choices much harder.
Pope Leo said AI safety concerns should be taken seriously.
He rejected describing those concerns as simply “fake news.”
Still, he said he isn’t personally in “panic mode.”
He called for dialogue among politicians, executives, and social leaders.
He also criticized Nvidia CEO Jensen Huang’s regulatory position.
Huang has argued safety and rapid development can coexist.
The Pope’s broader concern extends beyond catastrophic AI risks. He has also raised questions about automation, employment, and autonomous weapons.
The interesting divide isn’t simply AI versus no AI. Almost everyone involved sees enormous potential in the technology. The harder question is who sets its boundaries. Move too slowly, and innovation could suffer. Move without enough safeguards, and problems may arrive first. That tension will define much of the AI debate ahead.
CLIMATE AND AI
Climate startups found money again. AI helped unlock it.
Image credits: Institute for Energy Economics and Science.
Something strange happened at New York Climate Week. AI became one of the biggest conversations. Not because everyone suddenly became an AI startup. Data centers need enormous amounts of energy. And that demand is creating opportunities across climate tech.
Climate startups have struggled to finance expensive growth projects. AI infrastructure is suddenly creating customers for many of them.
Venture deal value rose for four consecutive quarters. It passed $14 billion during this year’s first quarter.
Much of that money flowed toward data-center-adjacent sectors. Grid infrastructure and dispatchable energy have especially benefited.
Some startups are changing how they pitch themselves. Connecting their technology to AI can attract more investor attention.
That creates an uncomfortable tradeoff for climate founders. AI infrastructure can create demand while increasing energy consumption.
Other climate sectors risk receiving less attention. Several founders told TechCrunch that promising areas are being overshadowed.
Founders also recognize this boom might not last forever. The opportunity is building durable businesses while demand remains strong.
AI isn’t only changing software anymore. It’s changing where capital moves. That can accelerate technologies struggling to reach commercial scale. But capital follows urgency, not necessarily long-term importance. Today, data centers provide that urgency. The interesting question comes after the boom. Which climate companies will still matter without the AI story?
PARTNERSHIP
AMD isn’t only chasing Nvidia on chips anymore.
AMD just agreed to acquire World Labs. The price is roughly $8.2 billion in stock. But the interesting part isn’t the price. It’s what World Labs is building. AI that understands and simulates the physical world.
World Labs was founded by AI pioneer Fei-Fei Li. She will become AMD’s chief scientist and executive vice president.
The startup develops “world models” that simulate 3D environments. Its Marble model can create 3D scenes from images.
These models could help robots learn inside simulated environments. That training could happen before entering the physical world.
AMD already invested in World Labs before this acquisition. Now it’s bringing the research much closer.
The research could also influence AMD’s future chips. Knowing tomorrow’s AI workloads helps design tomorrow’s hardware.
The $8.2 billion transaction would become AMD’s second-largest acquisition. Only its roughly $50 billion Xilinx deal was larger.
AMD isn’t alone in spending heavily on AI talent. Major technology companies are increasingly buying research teams and capabilities.
The AI race is moving beyond better chatbots. The next frontier may be models that understand space. Models that learn physics. Models that eventually help machines navigate the real world. That changes what AI companies need from their hardware. AMD’s bet connects those two worlds unusually early. The bigger question is whether world models deliver their promise.
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