"We're rebuilding the innovation engine at 3M," CEO Bill Brown told investors on July 21, 2026. Then he showed them the operating data behind the claim.
Those 92 launches came during the second quarter of 2026, up 44% from the same period in 2025. First half total: 176. In July, 3M said it was on pace to meet its goal of more than 350 launches in 2026, nearly triple what it introduced three years earlier.
Look at what's coming out. Optical connections for AI data centers. High performance fibers for fuel cells and reflective films built for satellites were among the examples discussed on the earnings call. Ask 3M, a digital assistant that helps engineers find and compare materials, launched in June.
The count covers the whole company, including the consumer side you know from Scotch-Brite, Command, Filtrete, Scotch, and Post-it. 3M didn't split the 92 by segment. The examples it chose to highlight came from its industrial, safety, transportation, and electronics businesses.
3M calls the system behind all this its "R&D factory." On the July call, Brown put the development-to-market cycle at around 250 days. He said the work underway could cut that clock by about 20% by 2027. AI is being fed into the process from idea generation through production.
Speed only tells you how fast things ship. 3M grades the ambition too.
On the July call, Brown said about 75% of launches sat in Class 3, which covers incremental products. Classes 4 and 5 push into adjacent markets or build something new for a market that didn't buy from 3M before. About a quarter of launches fell into those higher classes. Inside its industrial businesses, 3M expected that share to climb past 40% over time.
The launch count starts to matter once you can see how many of those bets are aimed at new demand.
Expanded Beam Optics shows what one bet can turn into. The technology makes durable fiber optic connections for data centers, and Microsoft has been testing it for years. 3M says that testing cut the time to install circuits and start earning revenue by about 85%.
On July 15, 2026, Microsoft announced plans to deploy EBO in Azure data centers. On the July 21 earnings call, 3M forecast $40 million to $50 million in 2026 sales for the EBO business. Brown said it could grow four or five times larger over the next several years.
3M is also tracking what the newer portfolio produces in revenue. In July, the company forecast about $4 billion in 2026 sales from products introduced during the previous five years.
The company watches this through its new product vitality index, which measures the slice of total sales coming from recent launches. On the July call, Brown targeted the mid teens for 2026 and 20% for 2027. Reaching that target would mean one dollar in every five came from something introduced within the previous five years.
Launches still need a path into accounts. AI tools help account teams plan their week and pick which opportunities to chase first. In July, 3M reported $110 million in booked cross-selling opportunities, with another $120 million in the pipeline. That pipeline grew more than 40% during the quarter.
3M reported 5.4% adjusted organic sales growth in Q2 2026. CFO Anurag Maheshwari pointed to sharper selling and a bigger push from new launches. The company raised its full year organic growth outlook after the quarter closed.
So 3M has given innovation a throughput number, a clock, an ambition mix, a revenue figure, and a route into customer accounts. The point is simple. Leaders can see growth taking shape early enough to do something about it.
3M · Q2 2026
Sources: 3M Q2 2026 earnings transcript · Q2 results · 3M and Microsoft announcement · Ask 3M announcement
What to do this week.
Map your own innovation clock before you try to cut it.
List every offering that reached a customer in the last twelve months. For each one, write down how long it took from approved development to first sale. That's your map. The slow spots will show up fast.
Then find where it slows down. Where does research take weeks or months when it could take hours? Where is your team synthesizing customer data or sizing a market by hand? Those are the spots where AI can move the clock. In July, 3M described using AI throughout development as part of its plan to reduce a roughly 250-day cycle. You can do the same, even if you start with just one bottleneck.
Pick one slow spot and ask where AI could remove friction there. That's how the clock moves.
From the portfolio
Most teams don't stall because they lack ideas. They stall because validating a concept takes months and costs a fortune before anyone knows if it's worth the bet.
FifthRow’s anonymous automotive case reports roughly four weeks from idea to validated concept, against a six-to-nine-month manual process. That comparison applies to the program described.
A $20B consumer goods company brought seven problem spaces. Five weeks later, four concepts were validated in front of real consumers. Another team started with a category that had no ideas in it. Four weeks later, five concepts were in market. Two advanced. Three were stopped on evidence instead of opinion. The value isn't just speed. It's knowing which bets deserve the budget before you've spent it.
Have a growth opportunity your team hasn’t had time to validate? Send me a little context, and we can look at how FifthRow would approach the work.
If your CEO asked where future growth is taking shape inside the business, how fast could you answer?
