The World Economic Forum’s (WEF) April 2026 report, titled Growth in the New Economy: Towards a Blueprint, identifies accelerating AI adoption as a primary force shaping global growth amid geostrategic competition, high debt, environmental pressures, and demographic shifts. Drawing on dialogues with nearly 200 industry professionals and a survey of over 11,000 executives, the WEF positions AI as a frontier technology central to productivity and value creation—essential for translating innovation into sustained economic output.
AI adoption has surged. McKinsey’s Global AI Survey finds 88% of organizations now use AI in at least one business function, up from 78% the prior year, with 23% scaling agentic AI systems.
Deloitte’s State of AI in the Enterprise report notes worker access to AI rose 50% in 2025, while the number of companies with 40% or more AI projects in production is expected to double within six months.
In financial services, Gartner data shows over 70% of institutions using AI at scale by late 2025—more than double the 30% figure from 2023.
Fintech stands at the forefront of this shift. Banking and finance lead AI investment and depth of use cases, according to multiple analyses.
McKinsey reports that 58% of financial institutions directly link revenue growth to AI, primarily through enhanced trading, predictive risk management, and process automation.
Fintech players, representing just 40% of the sector dataset tracked by McKinsey, drive nearly 70% of all AI initiatives, benefiting from agility and fewer legacy constraints.
Practical impacts are measurable. AI-powered fraud detection systems already achieve over 90% accuracy, with projections of £9.6 billion in annual global bank savings by 2026.
Generative AI alone could add $200–340 billion in annual value to global banking through personalized services, automated compliance, and hyper-efficient operations.
PwC’s 2026 AI Business Predictions highlight agentic AI transforming finance functions—handling invoice processing, reconciliation, anomaly detection, and dynamic pricing—freeing professionals for higher-value strategic work.
Deloitte notes financial services firms deploying autonomous AI agents for tasks like meeting follow-ups and workflow orchestration.
Yet challenges persist, aligning with WEF warnings on skill shortages, policy instability, and the need for trade-offs.
While 89% of financial services firms in NVIDIA’s 2026 report say AI boosts revenue and cuts costs, only 38% of finance AI projects meet or exceed ROI expectations per Deloitte, with over 60% facing implementation delays.
High debt and geostrategic fragmentation add pressure, demanding balanced strategies between innovation investment and fiscal prudence.
The WEF emphasizes “no-regret” moves: investing in productivity, talent, and green transitions.
For fintech, this means scaling AI-native platforms, multi-agent systems, and human-AI collaboration. As Asia drives over 50% of global GDP growth through 2030, AI-equipped fintech innovators are poised to capture disproportionate value—provided leaders navigate the trade-offs. The WEF update concluded that new economy rewards those who move from experimentation to enterprise-wide impact.