The most expensive failures in R&D are not the projects that fail. They are the projects that should never have started — and the ones that limp along because nobody had the evidence to kill them early. Patsnap’s 2026 R&D Benchmark Report puts numbers on a pattern that IP-intensive businesses know intuitively: more than a third of organisations spend a quarter to forty percent of their R&D budget on work that never reaches market, half watch IP issues surface too late to fix cheaply, and 38% lose between $1M and $5M every time a project is killed late. The striking part is that 92% are already using AI, yet the heaviest users still name access to the right intelligence at the right moment as their single biggest productivity gap. AI has been pointed at execution — modelling, automation, design — and almost never at the decisions that determine whether the work was worth doing.

For IP leaders, that is the opening. The report shows respondents overwhelmingly value patent and competitive intelligence earliest — at ideation and feasibility, before sunk cost makes a bad project politically impossible to stop. Yet most teams still use IP intelligence reactively: monitoring competitors and searching prior art, not shaping which bets get funded.

The strategic takeaway is simple. Treat freedom-to-operate, white-space mapping and competitive patent signals as a front-end input to portfolio decisions, not a back-end clearance check. Build the discipline of asking “what does the IP landscape tell us?” before commitment, and you convert a cost centre into a filter that protects budget, sharpens go/no-go calls, and compounds into an advantage competitors can’t easily copy.