[New] Dominant Platform Components: AI analytics engines are set to command around 28% of the revenue share in 2026, while automation modules are likely to grow the fastest through 2033, driven by rising demand for self-healing and autonomous IT operations.
Persistence Market Research
[New] One year ago, the consensus among serious AI scientists placed AGI - Artificial General Intelligence, meaning AI that matches or exceeds human-level reasoning across all domains, somewhere between 2030 and 2032.
Gradion
[New] Ninety-two million jobs may be displaced by AI by 2030.
Insurance Asia
[New] By 2030, 80% of large software engineering organizations will evolve into smaller, AI-augmented teams - fundamentally reshaping software development workforce structures.
igmGuru
[New] With a steady reliance on machine learning for automated risk assessments, the BFSI segment is expected to hit USD 35.61 billion by 2033.
Kings Research
[New] Google DeepMind published an AI Control Roadmap for securing advanced AI agents used inside Google, noting that AI agents could create $2.9 trillion in U.S. economic value by 2030.
Agentic AI Weekly
[New] Launching the AI Environmental Transparency Initiative: Force major artificial intelligence companies to disclose the carbon, water, and land footprints of their operations, mandating that all data centers run on 100% renewable energy by 2030.
Insights IAS
[New] The companies that win the next five years will not have the best AI strategy.
Adam Mendler
[New] By 2030, AI's intelligence per watt (to reference a new metric recently introduced by Chris Re and colleagues at Stanford) will be dramatically higher, to a degree that few today are anticipating or have yet internalized.
Forbes
[New] AI could cause significant labour displacement by 2030.
GOV.UK
IoT deployments are expected to exceed 40 billion connected devices globally by 2030, significantly increasing demand for low-latency AI services.
Persistence Market Research
JPMorgan Chase & Co. now expects $5.5 trillion of spending tied to AI and data centers through 2030, an increase of $400 billion from its estimate in November.
financialpost
AI data centers currently consume approximately 4-6% of US electricity, projected to reach up to 10% by 2030.
Strategy
The United Nations has launched an AI Environmental Transparency Initiative calling on AI companies to disclose the carbon, water, and land-use impacts of their data centers and transition to renewable energy by 2030.
MarketingProfs
Some AI experts predict half of entry-level white-collar jobs to be lost by 2030.
AIMultiple
Total global AI-related capital expenditures will reach $5.5 trillion through 2030, up from $5.1 trillion.
Fortune
UN Secretary-General Antonio Guterres called on AI companies to disclose the full environmental cost of their data centers and to power all data centers with renewable energy by 2030.
Educational Technology and Change Journal
By 2030, AI data centers could use enough water to meet the basic needs of all 1.3 billion residents of sub-Saharan Africa for an entire year.
UN News
If, by 2030, China reaches 90% AI penetration and the EU arrives at 30 to 40%, the productivity differential will not be recoverable through regulation.
E-International Relations
AI data center electricity demand could reach 160 terawatt-hours per year by 2030 - comparable to Spain's total annual electricity consumption.
Medium
Last updated: 08 July 2026
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