Tag: AI Market
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From compute to capability

The throughline of recent AI progress has been scale: larger systems trained on more data with more computation. Understanding that loop helps explain where the market is heading. Read more
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What experts expect — AI timelines

Many researchers believe there is a real chance that human-level AI arrives within the coming decades, and some expect it sooner. Expectations themselves shape today’s investment. Read more
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Developers are adopting AI tools

A large share of professional software developers now report using AI tools in their work, changing how products and campaigns get built and shipped. Read more
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AI vs human performance

On a range of benchmarks — from language to image recognition — AI systems have closed the gap with and, in some tests, surpassed human performance. Read more
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AI’s growing energy demand

As data centres expand, their share of electricity demand is rising. Energy availability is becoming a genuine constraint on how fast AI capacity can scale. Read more
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Startup funding flowing into AI

Newly funded AI companies and the capital raised by privately held AI firms point to a wave of company formation — the early-stage engine behind the next generation of tools. Read more
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AI research output is surging

Scholarly publications on AI have grown rapidly, an indicator of the sheer volume of talent and attention now flowing into the field worldwide. Read more
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The rise of AI patents

Annual AI-related patent activity has expanded across industries, reflecting how broadly organisations are trying to protect and commercialise machine-learning ideas. Read more
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AI in the job market

The share of job postings mentioning AI skills has grown, signalling that employers increasingly expect fluency with these tools across marketing, engineering and analytics roles. Read more
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How fast businesses are adopting generative AI

The share of working-age adults and companies using generative AI has risen quickly. Adoption is uneven across countries and roles, but the overall direction is steeply upward. Read more
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NVIDIA and the picks-and-shovels of AI

Chipmakers selling the hardware that powers AI have seen revenue climb sharply, a reminder that some of the clearest beneficiaries of the boom are the suppliers, not just the model builders. Read more
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The data-centre construction boom

Monthly spending on data-centre construction has surged as companies race to add capacity for AI workloads — a build-out with real consequences for cost, power and timelines. Read more
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The geography of AI chips

Production of the advanced logic chips behind modern AI is concentrated in a handful of countries and firms, making the hardware supply chain a strategic pressure point for the whole industry. Read more
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Why training compute keeps growing

The computation used to train leading AI systems has risen exponentially, roughly doubling on a short cadence. More compute has consistently translated into more capable models. Read more
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The money is moving into AI — fast

Private investment in AI has climbed steeply over the last decade, with annual funding now far above where it sat just a few years ago. That capital is reshaping the tools marketers use to plan, build and buy media. Read more
