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
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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