Midyear update 2025 AI predictions: PwC
Summary
PwC's midyear update on its 2025 AI predictions confirms that ambitious AI strategies are creating competitive advantages, with 73% of executives expecting AI agents to provide a significant edge. AI agents are boosting workforce productivity by up to 50% in areas like IT and finance, contributing to nearly triple revenue-per-employee growth in AI-exposed sectors. The report highlights that responsible AI is crucial for ROI, as 28% of executives identify trust gaps as a major hurdle. Furthermore, AI is becoming central to sustainability strategies, driving energy optimization and enabling sustainable products to command a 26% average price premium. While AI is significantly cutting product development lifecycles in software and consumer goods, with 35% of executives using agents for innovation, its impact is incremental in industries with longer R&D. Overall, responsibly deployed AI could expand global GDP by nearly 15% by 2035, reshaping competitive landscapes across various industries.
Key takeaway
For Directors of AI/ML evaluating 2025 strategic priorities, your focus should be on developing an ambitious AI strategy that integrates agentic AI and robust responsible AI governance. You must modernize your data infrastructure and invest in AI fluency across your teams to capitalize on productivity gains up to 50% and potential global GDP growth of 15% by 2035. Neglecting these areas risks falling behind competitors who are already using AI for significant competitive advantage and sustainable value creation.
Key insights
Bold AI strategies, especially with agentic AI and responsible governance, are critical for competitive advantage and value creation by 2025.
Principles
- AI success requires bold ambition, not just early adoption.
- Responsible AI is foundational for trust and ROI.
- AI agents significantly boost productivity and revenue growth.
Method
Orchestrate multi-agent systems for complex workflows. Continuously gather and analyze data for AI-driven strategic planning. Implement layered controls and independent assurance for responsible AI.
In practice
- Modernize data and cloud foundations.
- Cultivate AI fluency by upskilling teams.
- Embed responsible AI governance and controls.
Topics
- AI Strategy
- AI Agents
- Responsible AI Governance
- AI for Sustainability
- Product Lifecycle Management
- Economic Impact of AI
Best for: Investor, CTO, VP of Engineering/Data, Executive, Director of AI/ML, Consultant
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Editorial summary, takeaway, and curation by AIssential. Original article published by Curated for you: AI: PwC.