Navigating the AI Value Gap: How Companies Can Keep Up

Understanding the AI Value Gap

The gap between companies flourishing from AI investments and those struggling to see any return is alarming. According to a recent report by Boston Consulting Group (BCG), only a tiny fraction of firms—around 5%—are successfully building on AI to generate substantial profitability. In stark contrast, a hefty 60% are floundering, reporting minimal benefits despite pouring resources into this technology.

Nicolas de Bellefonds, a managing director at BCG, noted that the pace at which AI is transforming businesses is unprecedented compared to earlier tech revolutions. He emphasizes that organizations reaping real benefits from AI aren’t just automating tasks; they’re completely redefining their business strategies and structures, positioning themselves far ahead of their competitors.

Who Are the Future-Built Companies?

BCG categorizes high-performing organizations as “future-built.” These companies aren’t merely doing well; they’re drastically outpacing the average firm, experiencing 1.7 times more revenue growth and 1.6 times higher EBIT margins than those lagging behind. This elite group doesn’t just run isolated AI projects; they’ve fundamentally reimagined their operations to enhance shareholder value.

Investment Trends Among Future-Built Organizations

Future-built companies, having enjoyed early successes, are looking to invest even more. They anticipate a 26% increase in their IT spending and a whopping 64% boost in the portion of their IT budget allocated to AI by 2025. This means their total AI investments will be 120% greater than their slower counterparts.

As a result, these leaders expect to see twice the revenue growth and 1.4 times greater cost savings from their AI initiatives. For the companies lagging behind, who often lack the foundational capabilities, this creates a vicious cycle of stagnation.

The Leadership Challenge

A significant reason behind this widening gap is ineffective leadership. In lagging companies, management frequently delegates the AI strategy to middle management or fails to provide a cohesive vision for how to derive value from AI investments. Resources are often stretched too thin across disparate projects. (CoinDesk)

Successful Leadership Strategies

In contrast, top-performing organizations have a solid playbook they follow. They treat AI as a long-term initiative sponsored at the highest levels, with ambitious targets clearly outlined. Almost all C-suite executives in these future-built firms are heavily involved in AI strategies, compared to just 8% in the companies that are struggling. You might also enjoy our guide on 7 Proven Crypto Portfolio Tips (2026) to Reduce Risk.

These leaders cultivate a culture of shared responsibility, involving both business and IT departments in AI initiatives. This approach is 1.5 times more common in successful companies than in their slower counterparts. One senior executive highlighted the importance of senior management taking ownership of AI benefits, which allows for more substantial investment.

Focusing on Core Business Workflows

Rather than just automating processes, successful companies are committed to reshaping their core workflows, where the majority of AI’s potential value resides. According to the report, 70% of AI’s value is found in needed functions like R&D, sales, marketing, and manufacturing. Future-built firms are reimagining these areas, with 62% of their AI initiatives already in play, while only 12% of lagging companies have made similar advancements.

The Rise of Agentic AI

A key driver in this value gap is the emergence of agentic AI, a form of AI that combines predictive and generative functions. This type of AI can learn, reason, and act with minimal human input, effectively functioning as a digital workforce. Agentic AI is projected to account for 17% of AI’s total value in 2025, potentially rising to 29% by 2028.

Notably, a third of high-performing firms are already using agentic AI, while the laggards are significantly trailing behind. Leading organizations are prioritizing customer experience applications for these agents, with 50% focusing on enhancing customer service.

The Talent Factor

Another important differentiator is how companies approach talent. Future-built organizations are investing heavily in upskilling their workforce to collaborate effectively with AI. They plan to enhance the skills of over half of their staff and are six times more likely to prioritize broad-based employee AI training compared to lagging firms.

Involving employees in co-designing workflows with AI agents also fosters smoother adoption and builds trust in the technology. This approach is vital for ensuring that the workforce is well-prepared for the changes that AI will bring. For more tips, check out How AI Will Revolutionize Phishing Detection by 2026.

Building a Centralized AI Platform

Leading companies steer clear of the “GenAI burden” that comes with fragmented initiatives. Instead, they invest in a centralized AI platform, which allows them to create secure, scalable solutions once and reuse them across the organization. More than half of these firms operate on a single data model, enabling quick access to reliable data—a stark contrast to only 4% of slower companies. (Bitcoin.org)

Time is of the Essence

For the 95% of companies struggling to harness the potential of AI, urgency is key. The framework for success is clear, but it necessitates a significant shift in mindset and operations. BCG recommends adhering to a “10-20-70 rule,” suggesting that transformation efforts should focus 70% on people and processes, 20% on technology, and just 10% on algorithms.

The barriers to realizing value from AI investments are primarily organizational, not technical. As technology continues to advance and leaders accelerate their initiatives, the opportunity to catch up is rapidly diminishing. Companies that don’t act decisively now risk permanent exclusion from the competitive space.

Frequently Asked Questions

what’s the AI value gap?

The AI value gap refers to the significant difference in profitability and performance between companies that effectively build on AI and those that don’t.

Why do some companies struggle with AI investments?

Many companies fail with AI investments due to ineffective leadership, lack of a clear strategy, and insufficient employee involvement.

what’s agentic AI?

Agentic AI is a type of artificial intelligence capable of reasoning, learning, and acting autonomously, significantly enhancing business processes.

How can companies close the AI value gap?

Organizations can close the gap by investing in leadership, upskilling employees, and integrating AI into core business functions effectively.

What does BCG recommend for AI transformation?

BCG recommends focusing 70% of transformation efforts on people and processes, 20% on technology, and only 10% on algorithms to successfully harness AI’s potential.