Artificial intelligence isn’t creeping into construction, it’s crashing in at full speed. And according to Alex Teplitxky, we’re not just optimizing workflows anymore… we’re redefining what counts as human work.

In this episode of Human Work After AI hosted by Chris Fanchi, Alex breaks down the rapid adoption of AI in construction, why the industry hit a tipping point in 2025, and what happens when a single analyst can suddenly manage 7-8 projects instead of three. He also goes deep on the existential side: mechanical “parallel humanity,” superintelligence risks, and why workers are fleeing white-collar roles for the trades.

This is one of the most candid conversations yet about how AI is reshaping not only labor markets, but humanity itself.

🔥 Key Themes

- Why construction went from “AI is cute” to “AI is essential” practically overnight

- The real economic impact: when one person can do the work of an entire team

- Agentic AI and the shift toward company-owned internal agents

- Why young workers are abandoning office jobs for skilled trades

- The boundary between “organic humanity” and “mechanical humanity”

- Alex’s optimism (creative empowerment, mobility) and deepest fears (superintelligence, extinction risk)

📌 Chapters

00:00 – Can we create a “parallel mechanical humanity”?

01:30 – Alex’s background: Silicon Valley summers & the pull of tech

02:44 – Getting into construction tech

11:24 – Why digitizing construction is so hard

12:35 – What SmartPM actually solves

15:51 – Why AI + math is the real engine of project controls

18:21 – The origins of generative scheduling

19:30 – How construction attitudes toward AI flipped almost overnight

22:30 – Agentic AI and internal company-built agents

24:17 – Data control, privacy, and the rise of proprietary AI

25:07 – Is AI augmentation… or quiet job elimination?

26:27 – Workers fleeing office jobs for the trades

27:48 – The coming “AI layoffs” nobody wants to say out loud

28:50 – Will human judgment remain essential?

30:41 – Are humans just organic algorithms?

31:53 – Automation, safety, and where society goes next

32:40 – Alex’s optimism: self-driving lifestyle & creative empowerment

33:35 – Alex’s fears: superintelligence and existential risk

36:30 – Could AI already be hiding from us?

37:13 – The positive and dark sides of our AI future

38:03 – Where to find Alex & SmartPM

📚 Resources

SmartPM - https://www.smartpm.com

Connect with Alex on LinkedIn - https://www.linkedin.com/in/alexteplitxky/

AI Transition Management Consulting with Chris Fanchi - https://bignorthnetwork.com/

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Chris Fanchi's new book explores how AI is reshaping white-collar work, why trust infrastructure matters more than ever, and what it takes to stay human in an age of agents and automation.

👉 Learn more and order now at

https://bignorthnetwork.com/managing-ai

#AI #FutureOfWork #ConstructionTech #SmartPM #Automation #AgenticAI #HumanWorkAfterAI

AI is reshaping public services, from Medicaid eligibility to behavioral health treatment planning, but the biggest shift isn’t automation. It’s the rising importance of human judgment, governance, and critical thinking in a world flooded with machine-generated information.

In this episode of Human Work After AI, host Chris Fanchi sits down with Connor Norwood, Founder & CEO of Delineate LLC, to explore how government, healthcare systems, and consulting firms are navigating AI adoption while protecting public trust and human responsibility.

Connor brings a rare lens: academic researcher → state CDO → COVID-19 multi-agency data leader → founder. His perspective on AI governance, health workforce shortages, legal liability, and expert-human augmentation is one every tech leader needs to hear.

🔑 Key Themes

- Why critical thinking becomes the most important workforce skill in an AI-first world

- Why AI will replace some jobs, but will create entirely new ones that require reskilling

- How expert-human augmentation can ease the mental health provider shortage

- The hidden risk for companies that “ban AI” but don’t create policies

- Why public sector AI adoption is slowed by outdated statutes and risk-averse incentives

- How AI changes discovery, research, and consulting workflows

⏱️ Chapters

00:00 — Opening highlight

01:02 — Introduction to Connor Norwood & Delineate

01:58 — From pre-med → academia → state government → data leadership

04:28 — The origins of Delineate & the art of data storytelling

06:39 — Why executives need narrative clarity, not more dashboards

09:44 — What “tuning your message to the audience” really means

10:52 — What Delineate does today (government + sports + healthcare + AI)

12:55 — AI governance: why orgs can’t put their head in the sand

13:03 — Expert human augmentation in healthcare

15:26 — How clinicians perceive AI (and why definitions matter)

18:48 — The fragmented regulatory landscape

21:12 — Government constraints: legacy rules, risk tolerance, budget cycles

23:34 — Why efficiency in public services matters

26:23 — How Delineate uses AI to accelerate research & discovery

28:21 — Are jobs being replaced? Connor’s view on job creation & reskilling

30:38 — Why critical thinking still matters more than ever

31:24 — Legal liability: AI outputs, copyright, and the black box

34:03 — Why proactive guardrails matter

36:17 — Creating realistic AI policies in organizations

36:45 — Connor’s vision for improving public service with AI

38:17 — Where to find Connor

38:33 — Closing

🔗 Resources

Delineate LLC: https://delineateconsulting.com

Connect with Connor: http://www.linkedin.com/in/connorwnorwood

Chris Fanchi / Big North: https://bignorthnetwork.com

📘 Order Chris’s Book — Managing AI: Humans, Agents, and the Future of Work

Available Now!

👉 https://bignorthnetwork.com/managing-ai

“Most titles will remain. What will change is what people do within those titles.”

In this episode of Human Work After AI, Chris Fanchi talks with Chandan Maruti (CEO of Twig.so) about using agentic AI to scale customer support and success without sacrificing empathy. Twig acts like a coworker for support agents, handling instant answers and triage so humans can focus on pattern-finding, prevention, and relationships.

We cover:

- Why CS/S roles won’t disappear, but will become far more strategic as AI takes the repetitive load.

- The “thousand CSMs” idea: sensing problems earlier across every user interaction.

- Agentic support: AI handles, escalates, and routes while humans oversee and tackle the hard cases.

- Measuring value with a 7-dimension evaluation to avoid AI oversell/undersell traps.

- What a “perfect AI–human hybrid” support team looks like in the next 2–4 years.

Chapters

00:00 — Opening highlight (roles change, not titles)

00:48 — Intro: Twig as an AI coworker for support agents

03:04 — Chandan’s path: engineering → Lambda School → CS leadership

05:44 — The CS pain: high cost, limited bandwidth, slow signal flow

10:17 — “A thousand CSMs”: using AI to listen, sense, escalate early

12:21 — Retention by rigor: the 7-metric outcome framework

16:12 — Humans stay: AI does the repetitive, people do prevention & relationships

19:23 — Next step: from data deluge to actionable signals for CSMs

23:54 — Agentic tools and distributable expertise (runnable knowledge)

36:34 — The ideal AI–human hybrid support org (instant response, smart triage)

38:01 — Where to find Twig + outcomes-first mindset

Resources

Twig.so — outcomes-first AI for support & success: https://www.twig.so

Steward your people through the AI transition with Chris Fanchi's Big North Network — https://bignorthnetwork.com

Managing AI: Humans, Agents, and the Future of Work (out now!)

If this episode helped you reframe human + agent workflows, dive deeper in Chris Fanchi's new book, Managing AI - a pragmatic playbook for leaders on trust, metrics, and org design in the agentic era.

Order your copy today: https://bignorthnetwork.com/managing-ai