According to a recent global study by the Boston Consulting Group (BCG), the divide between AI leaders and laggards is rapidly accelerating. Top-performing organizations—those described as “future-built” for AI—are achieving up to twice the revenue growth and 40% greater cost savings compared with companies struggling to scale AI initiatives. This growing value gap signals a new era in enterprise technology, fueled primarily by the rapid advancement and implementation of agentic AI systems.

The State of Enterprise AI Adoption

Despite widespread enthusiasm for artificial intelligence, only 5% of companies can be classified as “future-built”—firms that systematically infuse AI into core business strategies and operations, achieving substantial and measurable value. The survey, which included 1,250 senior executives and AI decision makers across nine industries, further finds that 35% of businesses are currently “scalers”: actively growing their AI capabilities but lagging behind the top performers. A significant 60%, however, remain “laggards” with minimal ROI and limited ability to scale AI solutions across their organizations.

Industries at the vanguard of AI adoption include software, telecommunications, and the fintech/payments sector, which are outpacing others such as fashion, luxury, chemicals, and construction, where AI maturity remains low.

The Rising Influence of Agentic AI

One of the most striking findings from the BCG report is the emergence of agentic AI—AI systems that learn, reason, and independently execute complex, multi-step processes. These autonomous agents are moving beyond traditional AI models by proactively solving business challenges, from automating supply chains to optimizing digital marketing investments. In 2025, agentic AI accounts for 17% of total enterprise AI value, with this share expected to rise to 29% by 2028.

Notably, future-built companies are allocating approximately 15% of their AI budgets towards agents. One-third of these frontrunners already deploy agentic AI, whereas adoption rates remain much lower among scalers (12%) and are nearly negligible among laggards. The deployment of agentic AI is a key competitive differentiator, directly contributing to superior business outcomes.

Expert Insight: Amanda Luther, Managing Director and Senior Partner at BCG and coauthor of the report, highlights the need for companies to rethink workflows and talent models to fully leverage agentic AI: “Agents represent a huge opportunity but aren’t simply plug-and-play: companies urgently need to redesign how work gets done, addressing the impact of agents on existing processes, roles, and skills.”

Where AI Creates the Most Value

AI value creation is most concentrated in core business areas, with 70% of AI’s impact realized in functions such as research and development, innovation, digital marketing, sales, manufacturing, and supply chain optimization. The outlier among business functions is IT itself, where 13% of AI value is captured, often through automation and infrastructure enhancements.

Key Statistical Highlights from BCG’s Report:

• Future-built companies achieve 1.7x revenue growth compared to laggards.
• They generate 3.6x greater three-year total shareholder return (TSR).
• EBIT margins are 1.6 times higher for AI leaders than for laggards.
• Projected enterprise AI spending by leaders is over double that of laggards in 2025.

The Proven AI Playbook for Unlocking Value

BCG identifies a clear five-step playbook employed by AI leaders to consistently outperform competitors:

1. Lead from the top: Embed an ambitious, multi-year AI strategy at the executive level.
2. Value-based prioritization: Focus on high-impact AI initiatives and rigorously measure results.
3. AI-first operating model: Transform workflows via human-machine collaboration rather than siloed automation.
4. Future-proof talent: Proactively anticipate skill needs, invest in workforce upskilling, and tap into external AI partners.
5. Robust technology architecture: Build scalable data and tech foundations specifically designed for AI innovation.

This playbook is a practical roadmap available to all organizations, but trailing companies—especially the 60% with negligible returns—must prioritize urgent transformation or risk being left behind amid rapidly advancing technology.

Implications for Business Leaders

As AI technology evolves at an ever-increasing pace, the competitive window is shrinking. The gap between leaders and laggards illustrates a fundamental economic shift, as AI-powered firms enjoy outsized financial advantages and accelerated innovation. For most enterprises, merely increasing investment will not be enough—comprehensive organizational reinvention is required to keep up.

Michael Grebe, Managing Director and Senior Partner at BCG, emphasizes, “The technology is advancing weekly, and leading companies are accelerating. For the majority of firms, catching up will require more than investment—it will take reinvention.” Early adoption of the proven AI playbook is the essential first step.

Looking Ahead: Strategies for Closing the AI Value Gap

For organizations at the outset of their AI journey, now is the time to move with speed and purpose. Drawing from BCG’s latest research, key recommendations include:

• Engage executive teams and boards in long-term AI value creation planning.
• Identify core operational areas where AI can deliver outsize returns, leveraging benchmarks from AI leaders.
• Develop a workforce transformation strategy that combines internal upskilling with partnerships across the emerging AI vendor ecosystem.
• Strategically invest in agentic AI technologies, considering not just technical deployment but the redesign of operational models and workflows.

The next three years will be pivotal. As agentic AI accelerates the value gap, those lagging behind must act decisively to reshape their strategy, technology, and people. Firms that do so have the potential to join the next cohort of AI leaders—and secure a sustainable competitive advantage for the decade to come.

To explore BCG’s full findings and access their playbook, see the complete report: The Widening AI Value Gap: Build for the Future 2025.