In Mike Judge’s 2006 film Idiocracy, the main character needs to solve a problem: the crops aren’t growing.
The culprit? Electrolytes.
In this future, electrolytes are slapped on nearly everything people consume. So why not plants too?
“It’s what plants crave!”, the Attorney General replies.
I often think about this joke when it comes to AI.
No, I am not anti-AI. But as a marketer, I see AI getting tacked onto software the same way electrolytes were stamped on to every beverage in Idiocracy.
Today, companies use taglines like “AI-Embedded” or “Powered by AI” as a shortcut to positioning, driving their differentiation. But this approach falls short for industries that require a high level of trust to drive adoption.
Construction is a trust-driven industry. How tech companies talk about AI makes or breaks that trust. Does the tool actually understand contractors?
Demystifying Tech
When you’re deep in a technical field, it’s easy to forget that not everyone understands your work.
Much like the government in Idiocracy, who didn’t understand what electrolytes actually did, many people aren’t sure what AI means for them.
In construction, where margins and time, decision-makers need what ‘AI-embedded’ means for them in layman's terms and for their ROI.
Although AI is advancing quickly, what it actually does isn’t that complex. AI recognizes patterns based on historical data. In my mom’s words (a former construction engineer and data architect):
"AI is only as good as it's data."
To reach trust-driven industries, we need to move away from AI positioning that believes the name sells itself.
To create trust, we need to talk about AI for what it actually is. A construction company’s data is what paves the road to success. AI does the repetitive labor that doesn’t add to the bottom line while sifting through the data to identify the actions that can improve outcomes.
For construction contractors, the way tech companies position AI should be rooted in realism.
They are operating in the physical world after all.
Why Trust Still Wins
With so much on the line in construction, contractors must trust the software they use.
Beyond tight margins, contractors are required to adhere to standards and processes that keep people safe and structures sound. When you combine coordination complexity, cognitive load, and legal exposure, the operational weight adds up quickly.
To make sound decisions, contractors use their field judgment, depth of experience, and context awareness. Relying solely on ‘automation’ narratives leads to resistance because work that depends on human judgment is difficult to outsource.
To ease this resistance, businesses should position AI as an assistant rather than a replacement. Contractors want to hear that it eases actual pain points rather than a ‘shiny new tool’.
These tools take energy-draining tasks and leave more room for what makes an impact. In this way, AI tools can amplify construction companies' strengths, which is a much stronger way to position modern tools.
Where the Money Is Actually Going
Taking a deep dive into construction tech after a year off showed me two things:
1. The pain points still exist
2. AI is everywhere
I was amazed to see the same slogans and value propositions I read a year prior.
But the current investment in the industry paints a picture for the future of AI construction tech.
According to Abdul Abdirahman, an investor at F-Prime, venture capitalists have a specific list of what they are looking for.
1. Workflow Ownership
Out: An AI tool that summarizes project emails.
In: A platform where project managers can run scheduling, budgets, field reporting, and coordination.
The result? Your software is harder to replace, collects valuable data, and contractors can still shape how work gets done.
2. Proprietary Data Moats
Out: AI trained on public datasets and generic industry benchmarks.
In: AI powered by years of a company’s jobsite data, production rates, cost histories, and field performance metrics.
The result? Your insights get sharper over time and competitors can’t replicate your advantage like they could with a feature.
3. Deep Vertical Expertise
Out: “AI for construction.”
In: Technology built by people who understand change orders, submittals, bid cycles, trade sequencing, and field-to-office realities.
The result? Your product fits naturally into real workflows, adoption friction drops, and buyers trust that you get their world.
Systems of Action (Not Dashboards)
Out: A dashboard showing project risk scores.
In: A tool that flags risks, recommends mitigation steps, assigns tasks, and triggers workflows inside the systems teams already use.
The result? Your product helps teams execute faster and ties directly to measurable outcomes, not just informing decisions.
All of these characteristics make life easier for construction teams: fewer tools, more integrated workflows, less operational friction.
But deeper than convenience, they signal an understanding of the industry’s complexity. Construction is historically slower to adopt tech, yet the upside from thoughtful technology adoption continues to be enormous.
In trust-driven industries, how technology is positioned matters as much as what it does.
And credibility is what makes adoption possible.
When AI Becomes Cheap, Trust Becomes Expensive
As more construction tech companies are born from AI, more businesses will enter the market.
However, when barriers to entry drop, contractors will have more tools than ever to choose from. The result? Five things become scarce:
1. Trust: The willingness to rely on you when the stakes are high.
2. Credibility: Believability earned through depth, not buzzwords.
3. Distribution: Access to attention in a crowded market.
4. Relationships: Human trust at scale.
5. Proof: Outcomes people can point to.
What will make a construction tech company competitive is its distinct positioning rather than capabilities. Their reputation will mean more in sales conversations than features.
These are things that cannot be generated through trend-chasing. They are derived from a deep knowledge and relationships with customers, just like the culmination of many years of experience for a construction contractor.
How we talk about AI matters.
We’re in the middle of an extraordinary technological shift. In high-trust industries, adoption doesn’t come from hype. It comes from understanding the people you’re asking to change.
What do they value? What feels safe? What earns credibility? That’s what makes technology stick.
In construction tech, trust isn’t optional. And trust can’t be manufactured with surface-level claims, just like you can’t slap electrolytes on everything and expect it to sell.
There’s still room for innovation in this space and just as much opportunity to refine how it’s positioned.
Soon, AI will be assumed.
So what will make you different?
