Global Scans
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Artificial intelligence
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Weekly Summary
[New] The Next AI Race will not Be Won By Smarter Technology.
Forbes
[New] AI researchers propose delaying superintelligence until 2040.
MarketingProfs
[New] AI could widen economic and political disparities because model development, computing infrastructure, investment, and technical expertise remain concentrated among a few countries and companies.
MarketingProfs
[New] AI development could deepen global inequality.
MarketingProfs
[New] Global marketers should expect further divergence among regional AI ecosystems, vendors, data rules, and technology stacks.
MarketingProfs
[New] Importance for marketers: Custom inference hardware could eventually lower model-operating costs and expand the availability of inexpensive AI services, particularly in China.
MarketingProfs
[New] Meta plans to use Muse Spark more broadly across Meta AI, WhatsApp, Instagram, Facebook, and smart glasses, making the release both an enterprise API initiative and an upgrade to consumer-facing products.
MarketingProfs
[New] Almost half of organizations have rescheduled or reduced deployments after costs exceeded expected value, and one-third cite weak understanding of AI economics as a barrier to deploying agents.
MarketingProfs
[New] The free reporting will make Google's AI surfaces easier to monitor, although it covers only one company's products and could encourage marketers to mistake exposure for business impact.
MarketingProfs
[New] AI is fundamentally changing the threat landscape, and NATO needs to adapt accordingly.
Mimir's Well
[New] The White House's unprecedented reach into frontier AI labs could be a blessing for China, which offers cheaper, open-source models for people and companies around the world.
Mimir's Well
[New] AI-driven electricity demand is reshaping how digital infrastructure is powered, with data center energy use projected to more than double by 2030 to around 945 TWh [IEA].
Gastech Exhibition & Conference 2026
[New] 80% of manufacturers will integrate generative artificial intelligence for parts by 2027.
Market Data Forecast
[New] By 2026 more than 40% of all searches will take place via generative AI.
ClickForest
[New] The Consumer & Retail sector will undergo a structural rewiring out to 2050, driven by the convergence of AI, shifting consumer expectations and geopolitical rebalancing.
Fitch Solutions
[New] Even with a potential 10% increase in energy efficiency utilising AI, the doubling of data centers to meet the AI demand will cause an 80% increase in global greenhouse gas emissions.
Astutis
[New] AI hyperscalers will spend roughly $725 billion on AI infrastructure in 2026, with total capital expenditures projected to top $1 trillion in 2027.
Default
[New] Samsung will introduce its latest Galaxy innovations that build on its leadership in foldables, combining intelligent capabilities and new form factors to deliver more personal, adaptive experiences and set a new standard for the AI era.
CNet
[New] As the fraction of AI R&D performed by AI systems increases, the productivity boost over human-only R&D could increase ten-fold, then a hundred-fold, then a thousand-fold.
The Sydney Morning Herald
[New] There is a 60% chance that, by the end of 2028, an AI system will be capable of creating its own successor with no human involvement at all.
The Sydney Morning Herald
[New] In an environment where AI-accelerated threats are growing faster than security teams can scale, where the global talent shortage shows no signs of easing, and where the cost of a breach continues to rise, fragmented point solutions are no longer a viable long-term strategy.
Simply Data
Last updated: 12 July 2026
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