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AI marketing is here
Plus: NASA new AI satellite, A free 3 hour course on how to build AI agents for automation, and more
Today, we’re diving into some of the most powerful AI stories shaping the future from McKinsey’s latest take on AI at work to NASA’s smarter systems and China’s bold chip strategy.
In today’s post:
McKinsey says AI is no longer a tool but coworker
NASA’s AI Just Got Smarter
The Godfather of AI just called out Big Tech again
China’s AI firms are building their own Nvidia-proof future
Trending AI tools to use right now
What’s Trending Today
Giveaway by Aircampus for Nextool AI readers:
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On 29th July at 10 AM EST, something different is happening.
Imagine this:
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AI agents aren’t the future.
They’re the quiet edge behind every productive creator today.
This is the blueprint.
Prediction
Agentic AI is coming for marketing, and it won’t wait for your sign-off

McKinsey’s latest tech outlook shows a major pivot: marketing is going autonomous. Agentic AI, once a fringe concept, is now the top trend reshaping adland.
Here’s everything you need to know:
Agentic AI means AI that plans, decides, and acts with no human in the loop.
McKinsey calls it a shift from chatbots to “virtual coworkers” for marketing teams.
Tasks like campaign optimization, targeting, and analytics are getting fully automated.
Investment in agentic AI jumped to $1.1B last year with hiring up 985%.
But scaling is messy: AI workloads are straining infrastructure and data centers.
Marketers must now juggle AI efficiency, customer trust, and new regulations.
Sovereign clouds, quantum tools, and bioengineered personalization are on deck next.
Here’s what I think:
The future of marketing isn’t just faster or more personalized, it’s autonomous. But speed without oversight risks trust. If AI runs your next campaign end-to-end, make sure it’s aligned with more than just performance metrics.
Breakthrough
This satellite AI can spot clouds and dodge them in 90 seconds

Image Credits: NASA
NASA just ran a live test of an onboard AI that helps Earth satellites make smarter decisions in real time. The goal? Less cloud. More clarity.
Here’s everything you need to know:
Most Earth-observing satellites blindly image whatever’s below even if it’s just clouds.
NASA’s Dynamic Targeting flips that script with onboard AI that thinks before it snaps.
In just 90 seconds, the system looks ahead, spots clouds, and chooses clearer targets.
The tech was tested on a commercial CubeSat with no human input involved.
This means less wasted data and more images scientists can actually use.
Next up: targeting fast-moving phenomena like wildfires and storms.
Longer-term? Smarter fleets of satellites working together like scouts.
Here’s what I think about this:
This isn’t just a smarter camera, it’s a big shift in how space-based science works. When satellites start thinking for themselves, the value of every orbit goes up. The question is no longer “what can we see?” but “what should we see next?”
Risks
Hinton warns: most tech leaders are still downplaying AI risks

Geoffrey Hinton isn’t mincing words. The man who helped invent modern AI says many of its stewards are acting like oligarchs and only one, in his view, truly gets the stakes.
Here’s everything you need to know:
Hinton says most tech execs know AI’s risks but won’t admit them publicly.
He singles out Demis Hassabis of DeepMind as a rare exception.
Hassabis has pushed for global oversight and warned about agentic systems.
Hinton left Google to speak more openly, despite its plea for him to stay.
Protesters recently rallied outside DeepMind’s office demanding more transparency.
Meanwhile, Musk and Zuckerberg get labeled “oligarchs” not a compliment.
Hinton’s message: the people building AI may not be the ones best equipped to govern it.
AI development isn’t just a technical race; it’s a trust test. If the most respected minds in the field are this worried, and most leaders aren’t listening, we’re not headed for better tools. We’re headed for bigger blind spots.
Growth
New alliances show China’s AI is going fully domestic

At Shanghai’s World AI Conference, China’s top AI firms sent a clear message: they’re done relying on the U.S. tech stack. The timing, and the ambition, are not subtle.
Here’s everything you need to know:
Two new industry alliances were announced to create a self-reliant AI ecosystem.
One links chipmakers and LLM developers into a full-stack supply chain.
Huawei debuted a system experts say rivals Nvidia’s most powerful setup.
Firms like Biren, Moore Threads, and SenseTime are adapting quickly despite U.S. sanctions.
Tencent’s new 3D model engine and Baidu’s virtual livestreamers show creative pivots.
Even consumer tech is catching up, Alibaba’s AI glasses will hit China by year’s end.
The strategy: more chips, tighter integration, and public tech demos to show momentum.
This isn’t just a trade workaround, it’s a signal of long-term divergence. China’s AI sector is shifting from catch-up mode to carve-out mode. If the U.S. aimed to slow it down, the result may be the opposite: faster innovation with fewer outside dependencies.
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