Reflections From TechConnect World 2026
Last week, I spent time at TechConnect World 2026 in Raleigh, focusing primarily on water and energy systems. Across conversations with startups, researchers, and industrial operators, the pattern was consistent: The innovation is abundant and thriving. Commercialization and Deployment are the challenges.
Innovation Is Accelerating
Across energy, sustainability, biotech, microelectronics, and advanced manufacturing, the early-stage ecosystem is producing technologies that are technically preparing for deployment.
AI, advanced materials, and new manufacturing approaches are expanding what is operationally possible. The expected revitalization of U.S. SBIR and STTR funding further strengthens this front end, reinforcing a structured path from research into commercialization.
We see the same pattern in practice. The volume and quality of technologies entering the market has increased meaningfully. Founders are building solutions to real, well-defined problems.
The pipeline is not the constraint.
Where Progress Starts to Stall
The challenge begins in what comes next.
At TechConnect, particularly in water and energy, there were many examples of technologies that are technically ready for productization and commercialization:
-
AI supporting grid resilience as demand increases from data centers and renewables
-
AI improving efficiency in water treatment and desalination
-
AI addressing PFAS contamination in municipal wastewater
All of these cases are tied to critical infrastructure needs that must operate continuously and reliably.
And yet, many of these solutions are still struggling to find a path into production environments.
In one conversation, a founder described a working AI solution for water treatment optimization, yet they had no clear way to integrate it into existing municipal systems.
That gap is an example of where innovation most often stalls.
Convergence Raises the Bar
What also stood out is how these challenges must leverage across multiple industry boundaries.
The most compelling work was not confined to a single domain. It sat at the intersection of AI, materials science, and industrial know-how, addressing problems at a system level.
As I noted during the event:
“The most compelling work is happening where AI, materials science, and industrial know how come together to address challenges at a system level.”
— Dave Ayers, Strategy Partner, Momenta
This convergence is where progress is happening. It is also where deployment becomes significantly more challenging.
These solutions do not fail because they are not ready to be developed or too technically advanced. They fail because they require coordination across systems and ecosystems that have not typically been working together.
AI Is Moving into Infrastructure
Another clear shift was how AI is now being positioned. Not as experimentation but as infrastructure.
In water and energy systems, AI is moving into the operational layer, influencing how decisions are made and how systems perform. But in industrial environments, the bar is different.
Systems do not get second chances. They must operate under constraint, within regulation, and without interruption. This is where many initiatives slow down. Not because the models are wrong. Because the systems around them are not ready.
Execution Is the Differentiator
Most industrial innovation does not fail at the point of invention.
It fails at the point of integration.
We see this consistently across our Advisory work, across industries and geographies: solutions not designed for existing architectures, unclear ownership across IT and operations, and pilots that were never structured for scale.
These are execution challenges - not technical ones. And they show up the same way, every time.
From Capability to Accountability
The takeaway from TechConnect is not about what is possible. It is about what is required to bring it to market and succeed.
The question is no longer: Can we build this?
It is: Can we run this in a real environment, every day, at scale?
That requires a different mindset:
-
Systems thinking over feature development
-
Operational ownership over experimentation
-
Integration over isolation
-
Measured outcomes over technical validation
Industrial Impact Happens in Deployment
Innovation is accelerating. But value is created only when technology is embedded into operations and market value. TechConnect World 2026 reinforced something we see every day.
The innovation ecosystem is doing its job.
The next phase of industrial impact will not be defined by who invents.
It will be defined by who can deploy reliably and at scale, to where it can make the most impact.
If you are working through similar challenges in deploying AI or scaling digital systems across water or energy operations, I would welcome the opportunity to compare notes.
Momenta is a leading Industrial Impact® advisory firm driving growth and digital transformation for industrial innovators in energy, manufacturing, smart spaces, and the supply chain. We advise on digital strategy and M&A while investing in and accelerating the growth of digital industry leaders and disruptors. With leadership experience at GE Digital, PTC, Schneider, and Intel, our team has scaled industry leaders and innovators for over a decade, spearheading Industrial IoT transactions and digital transformations for 50+ providers, including Xylem, Dover, Teradyne, CNHi, and GeoTab.
Learn more at momenta.vc.
