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From Hype to Production: Voice AI in 2025
Voice AI has crossed into production. Deepgram’s 2025 State of Voice AI Report with Opus Research quantifies how 400 senior leaders - many at $100M+ enterprises - are budgeting, shipping, and measuring results.
Adoption is near-universal (97%), budgets are rising (84%), yet only 21% are very satisfied with legacy agents. And that gap is the opportunity: using human-like agents that handle real tasks, reduce wait times, and lift CSAT.
Get benchmarks to compare your roadmap, the first use cases breaking through (customer service, order capture, task automation), and the capabilities that separate leaders from laggards - latency, accuracy, tooling, and integration. Use the findings to prioritize quick wins now and build a scalable plan for 2026.
Hi there, tech minds!
What happens when hard hats meet smart agents? In this issue, we look at AI teammates that schedule, predict, and keep jobsites safer, plus why mid-size firms are outpacing the pack.
We also zoom out to a bold idea about AI in the corner office and what it means for leaders on the ground.
📰 Upcoming in this issue
Sam Altman Wants an AI to Take His Job — Seriously 🧠
The Rise of AI Agents: Construction’s Smartest New Teammates 🏗️
Why Mid-Size Construction Firms Are Winning the AI Race 🧱
📈 Trending news
Sam Altman Wants an AI to Take His Job — Seriously 🧠 read the full 90-word article here
Article published: November 8, 2025
Just read the Economic Times piece. On Conversations with Tyler, Altman didn’t name a person—he named a future: OpenAI should be the first major company led by an AI, which he says would do the job far better than him. Succession planning with silicon.
Key Takeaways:
🤖 Altman wants AI to be CEO someday: He called it inevitable and even desirable for an artificial intelligence to run OpenAI better than any human.
🔁 It’s not “if,” it’s “when”: Altman said it “clearly will happen,” treating AI leadership as the next logical step in corporate evolution.
🧑💻 Human execs may soon train their replacements: Altman framed this handoff as success, not surrender, suggesting AI should outperform its creators.
🎙️ He dropped the bomb on a podcast: The bold claim came during a Conversations with Tyler interview—no press release, just casual AI succession talk.
The Rise of AI Agents: Construction’s Smartest New Teammates 🏗️ read the full 2,350-word article here
Article published: November 12, 2025
AI agents won’t replace crews—they’ll co-pilot jobsites: analyze sensor data, auto-adjust schedules, predict equipment failures, and flag safety risks. They act, learn, and improve each cycle—promising consistency in a world where ~87% of projects still face delays.
Key Takeaways:
🤖 AI agents adapt, decide, and execute: They go beyond automation by understanding data in real time and autonomously driving construction decisions across workflows.
🦺 Safety and uptime get predictive: Agents monitor wearables, equipment, and conditions to prevent accidents and breakdowns before they disrupt a shift.
🏗️ From BIM to budget, they connect everything: These systems unify fragmented data from tools like ERP, sensors, and schedules for real-time collaboration.
📊 Pilot now, scale smart: RTS Labs suggests starting small with a use case like scheduling or maintenance, then scaling once ROI is proven.
Why Mid-Size Construction Firms Are Winning the AI Race 🧱 read the full 1,030-word article here
Article published: November 13, 2025
I just read “Mid-size construction firms boost productivity by 20% with AI – but wider industry is still lagging” from Building Ireland—a wake-up call for an industry sitting on untapped potential.
The survey shows mid-size firms using AI have boosted productivity by up to 20%, while others remain stuck in the slow lane. The difference? Strong policies, training, and unified data systems.
Key Takeaways:
📈 Mid-size firms saw up to 20% gains with AI – By setting policies and investing early, they’re outperforming slower-moving larger rivals and less-resourced small firms.
🧠 81% of workers lack strong AI knowledge – Most professionals say limited training keeps them from using AI tools to their full potential.
🔄 Only 1 in 5 firms have identified automatable tasks – A massive opportunity is being missed across the industry due to poor AI planning and strategy.
🔒 ‘Shadow AI’ risks are rising – Without clear governance, the use of commercial LLMs may create data compliance issues and cybersecurity gaps.
Why It Matters
If one workflow on your jobsite could run itself, which would you choose first? Hit reply and tell us what you would automate or measure with AI.
If you found this useful, share it with a teammate who is building the future with you.
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