Eighty-three percent of executives call innovation a top-three priority. Only 3% feel adequately prepared to execute on it. That gap, more than any single trend, is the real story heading into the second half of 2026: ambition is high, budgets are inching up, and most organizations still don’t have the operating model to convert either into shipped products.1
As teams finalize H2 roadmaps this month, five signals are worth building around instead of reacting to later. None of them are speculative. They’re already showing up in this year’s budget data, R&D benchmarking, trade statistics, and consumer research.
1. Budgets are rising and shrinking at the same time
Global innovation budgets moved from 6.4% to 6.6% of revenue; 27% of the world’s top 100 companies are cutting theirs.2
More than a third of companies now invest 8% or more of revenue in innovation, and the average is climbing. But averages hide a split: over a quarter of the largest companies in the world are pulling back at the same time, and the share of leaders who see their own company as an innovation leader fell by nearly a quarter between 2021 and 2024. Growth at the top and retrenchment among giants aren’t contradictory; they’re two symptoms of the same execution gap. A rising budget doesn’t survive the next board review on its own. Build H2 roadmaps around a small number of high-conviction bets with explicit kill-gate criteria, not a wider portfolio that assumes this year’s number holds.
2. AI is graduating from copilot to gatekeeper, and most teams haven’t caught up
Most organizations still use AI for execution, not for the decisions that determine which projects get funded.3
Recent R&D benchmarking research is blunt about this: AI adoption is nearly universal, but it’s concentrated in drafting, summarizing, and speeding up work that was already going to happen. The decisions about which ideas deserve investment are still made the old way. That’s the H2 opportunity most teams are leaving on the table: putting AI inside the gate review and prioritization process itself, where it can triage submissions and surface risk earlier, not just inside the ideation stage where it’s already crowded. Teams that skip this step aren’t behind on AI adoption; they’re behind on the part of AI adoption that actually changes outcomes.
3. R&D waste is a boardroom number now, not a shrug
A third of organizations sink 25-40% of R&D budget into projects that never get commercialized; nearly half lose over $1 million per canceled late-stage project.3
The expensive failures aren’t the ideas that die early. They’re the ones that make it to late-stage development before something (a competitor filing, a shifted regulation, a consumer signal that was visible months earlier) kills them. The fix isn’t more stage gates; it’s moving the intelligence that should have caught the problem earlier in the funnel, back to ideation and feasibility, where the same research report found it delivers the greatest impact. If your H2 roadmap adds review steps without moving information earlier, you’re adding cost without closing the gap that’s actually expensive.
4. Tariffs have stopped being an event and become a planning variable
Trade-weighted manufacturing tariffs more than doubled year over year, from 1.9% to 4.7%, concentrated in manufacturing.4
That’s UNCTAD data, not a forecast, and it lands squarely on the sourcing and cost assumptions most innovation roadmaps were built on before 2025. Static, single-point cost models don’t hold up under that kind of movement. What does: scenario-based planning owned jointly by procurement, finance, and innovation, instead of sitting with a trade compliance team that only gets pulled in after a decision is already made. Any H2 roadmap with hard-coded sourcing or landed-cost assumptions from last year is carrying risk that isn’t visible until launch.
5. Consumers are asking for proof, not promises
88% of consumers say authenticity drives their brand choices; 90% prefer eco-friendly packaging; nearly 97% of firms plan to re-engineer supply chains within two years.5
None of these preferences are new. What’s changed is the expectation that brands can prove them: traceability data, digital product passports, verifiable sourcing, not marketing copy. That’s a documentation problem as much as a product one, and documentation built after launch is always more expensive than documentation built into development from the start. Teams that treat proof-of-claim as a Q4 scramble will spend H2 2026 relearning what the R&D waste data above already shows: the cheap fix is always the earlier one.
Five different signals. One common requirement: a system that holds governance, evidence, and speed together instead of trading one off against the others.
That’s the gap between the 83% who call innovation a priority and the 3% who feel ready to execute on it. Innovation Cloud’s platform is built to close it: portfolio governance and kill-gate discipline for the budget conversation, structured decision workflows for where AI actually belongs, earlier market and competitive intelligence for the funnel, and a single audit trail for sourcing, sustainability, and compliance claims alike.
Ready to build an H2 roadmap on data instead of guesswork? Schedule a demo.
Sources
1. Boston Consulting Group, “Most Innovative Companies 2024” (June 2024): 83% rank innovation a top-three priority; 3% feel ready to deliver. bcg.com
2. FounderNest, “Global Innovation Budget Benchmarks for 2026” (budget share of revenue and 8%+ investment); Mind the Bridge (2024) for the 27% of top-100 companies cutting innovation budgets. foundernest.com
3. Wiley, “The 2026 R&D Benchmark Report: Waste, AI and the Race to Market”: 25-40% of R&D spent on projects that never reach market; $1M+ lost per canceled late-stage project; AI used for execution over investment decisions. wiley.com
4. UN Trade and Development (UNCTAD), tariff policy analysis, 2025. unctad.org
5. Stackla consumer authenticity survey (88%); Shorr / Trivium sustainable-packaging consumer reports (eco-friendly packaging preference); RR Donnelley supply-chain leaders survey (re-engineering supply chains). shorr.com
