Earlier today I posted PwC’s finding that 20% of 1,217 companies capture 74% of AI-driven returns, at 7.2 times the performance of the rest. The post argued the winners show dual commitment: invest more AND apply differently. This article goes deeper on what that actually means for the next budget cycle.
What 2.5x investment actually buys
The 2.5x multiple is not a line item. It’s a posture. Leaders in software, banking, and media and entertainment report investing about 5% of annual revenue in AI, per PwC. More importantly, they are 1.3 times as likely as other companies to reallocate financial and human resources towards high-value AI projects as business priorities shift. The money moves. Spending more without moving it is the trap behind the 92/56 disconnect that catches most organizations.
The second signal is discipline: leading companies are 80% more likely to systematically track the business impact of AI initiatives than the chasing pack. The measurement gap Goldman Sachs flagged at the economy level is the same mechanism inside each firm. No measurement, no reallocation, no compounding returns.
What “apply differently” looks like
PwC measures three behavioral differences that separate leaders from the rest, and they work as a stack, not a menu.
- 2.6x as likely to report AI has improved their ability to reinvent their business model. That means reshaping how the company creates and captures value, not just using AI inside the existing model.
- 2-3x as likely to collaborate with companies in other sectors, work in ecosystems, and compete beyond their usual sectors. Industry convergence, in PwC’s phrasing, is “the single strongest AI fitness factor influencing AI-driven financial performance.”
- 2.8x as likely to increase the number of decisions made without human intervention. Not autonomy as marketing; autonomy as throughput. PwC notes leaders also report stronger gains in decision quality alongside the speed.
The three stack because reinvention without ecosystem reach is a product launch, and autonomous decisions without a reinvented model is cost reduction. The leaders are more likely to combine all three.
John Deere, read closely
John Deere still manufactures tractors. PwC’s case study is about the commercial model around them. See & Spray is an AI-powered “sense-and-act” precision spraying system that uses boom-mounted cameras and onboard computing to identify weeds and trigger nozzles only where they’re needed. In the 2024 growing season, it ran on more than 1 million acres, saved an estimated 8 million gallons of herbicide mix, and delivered 59% average herbicide savings across corn, soybean, and cotton fields.
The investment is computer-vision infrastructure bolted to agricultural hardware. The application difference is the commercial model. PwC describes it as a “service-like commercial model that allowed customers to pay for verified outcomes,” positioning Deere “to capture more value from a scalable services revenue stream rather than a one-time hardware differentiator.” That is the dual commitment in a single deployment: invest in AI foundations, redesign the revenue model around verified outcomes.
The Wyndham hotel franchise case in the same PwC report makes the same pattern in a services business: Responsible AI framework at the strategy core, agentic workflows designed with human oversight built in, and review times for brand-standard changes that dropped 94%.
The CEO test for the next 12 months
Three questions for the next budget conversation:
- Reallocation discipline. If AI priorities shift mid-year, can the business move budget and headcount in weeks, or is it locked into annual commitments? McKinsey’s 25-squared workforce restructure is the canonical example at scale.
- Commercial model. Is there a specific offering where AI lets the business charge for verified outcomes instead of delivered units?
- Autonomous decisions. Name three recurring decisions the team makes today that AI could handle inside guard rails this year.
The 7.2x gap will not close through pilots alone. Stronger foundations and sharper capital allocation are what make it compound.