39 articles
Global data center capacity is projected to nearly triple by 2030, driven primarily by AI workloads, while power infrastructure constraints are emerging as a critical limiting factor.
Meituan and UCAS researchers introduced TRUST-SQL, a Text-to-SQL system with a 9.9% gain over standard RL models - no pre-loaded schemas required.
Stanford researchers boost AI pre-training data efficiency by 1.8x using synthetic megadocs at scale.
A 2026 industry survey of 252 B2B marketers reveals AI's key blind spots: critical thinking, brand approvals, and compliance judgment.
AI infrastructure is heading toward an energy crisis. Powering tomorrow's models may demand the equivalent of 50+ nuclear plants.
Wells Fargo's latest infrastructure outlook shows U.S. data center construction starts surging 67% year over year, with power project activity up 68% and North American utility capex forecasts revised upward to roughly $222 billion in 2026.
A viral skills breakdown reveals what employers really want in data analytics candidates. SQL, Python, Excel, Power BI, and strong communication top the must-have list.
AI-driven data center construction surged to record highs but is now moderating in 2025, with growth rates declining even as overall spending remains elevated.
Major U.S. tech companies are ramping up investments in AI data centers, with spending projected to hit $700 billion in 2026 as massive computing campuses take shape across the country.
Electricity demand from AI data centers in the PJM grid is projected to exceed new capacity through 2030, potentially pushing power auction prices higher.
AI data center cancellations skyrocketed to 25 in January 2026 as energy grids and water supplies hit breaking points. The infrastructure reality check is forcing the tech industry to reckon with physical limits.
Global data center electricity use is expected to surge through 2030 as AI and cloud infrastructure expand. Projections show data centers could consume about 3% of worldwide electricity by the decade's end, up from 1% in 2022.
McKinsey data reveals a dramatic acceleration in AI skill requirements, with demand for AI fluency jumping sevenfold in just two years.
US data centers are on track to consume almost 10% of the country's total electricity by 2030, showing a dramatically sharper increase compared to other major regions worldwide.
AI data centers worldwide now consume around 30 gigawatts of power—roughly equal to New York State's peak electricity usage on the hottest summer days, according to new research from Epoch AI.
The explosive growth of AI-driven data centers is triggering unprecedented electricity demand, pushing up prices for critical commodities including copper, steel, and energy resources.
Electricity consumption from AI and data centers is projected to surge through 2028, reaching record levels. Energy supply is becoming a critical bottleneck for AI expansion.
Global data centers are consuming unprecedented amounts of electricity, with 25+ gigawatts under construction and 128 gigawatts in planning stages. If completed, total demand could triple California's peak usage.
AI data center developers are installing jet-engine-based gas turbines and diesel generators on site to secure power within months, bypassing grid connections that can take up to seven years, despite higher costs and emissions.
New research reveals a looming 44-gigawatt electricity shortfall threatening U.S. AI data centers through 2028, potentially requiring $4.6 trillion in power generation and infrastructure investments.
We use cookies to improve your experience on our site and to show you relevant advertising. To find our more, read our privacy policy and cookie policy
Usman Salis
Eseandre Mordi
Marina Lyubimova
Peter Smith
Alex Dudov
Victoria Bazir
Sergey Diakov
Saad Ullah
