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$2 trillion in new revenue needed to fund AI’s scaling trend
Press release - Even with AI-related savings, investors are still $800 billion short in annual revenue required to profitably fund the data centers of 2030 - Agentic AI innovation is unprecedented, but most companies remain in experimentation mode before taking their “hands off the wheel” - Quantum computing could unlock as much as $250 billion in market value across industries SAN FRANCISCO — September 23, 2025 — Two trillion dollars in annual revenue is what’s needed to fund computing power needed to meet anticipated AI demand by 2030. However, even with AI-related savings, the world is still $800 billion short to keep pace with demand, new research by Bain & Company finds.
Meanwhile, enterprise IT architectures are struggling to realize the vision of contextually-informed secure agents freely collaborating across multiple applications and databases to automate the diversetasks accomplished by humans. Bain finds that a north star architecture is critical, but profit motives and security demands will lead to uneven progress toward the four levels of agentic maturity over years. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment.
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