Interview With Business Experts Michael Pino & Andrew Lopianowski On AI & Their New Book

1. What is the premise behind your new, breakthrough book, HumanCorps?  HumanCorps is a practical blueprint for redesigning organisations for the Wisdom Age: a time when advantage comes less from information, and more from judgement — making good decisions under uncertainty, at speed, with ethics and context. In a BANI world (i.e., brittle, anxious, non-linear, and often incomprehensible), Industrial-Age hierarchy and control no longer scale. Performance now depends on releasing human ownership and agency at every level and then augmenting that human system with synthetic capabilities that help us overcome our biological limits in complexity and scale. We call that partnership Synthetic Symbiosis. Technology isn’t the point; it’s the enabler. The book shows how mindset, purpose, leadership, decision making, information transparency, culture, and measurement must evolve so humans and AI can create enduring value together. HumanCorps is both compass and operating blueprint.

 

2. Why do Industrial-Age transformation models keep failing in Knowledge / Wisdom-Age conditions? Most transformation models assume stability: define a target operating model, roll it out, then “refreeze”. But organisations are now living in constant disruption. When the environment changes faster than the programme, transformation becomes theatre — new rituals, new dashboards, little real change. HumanCorps challenges the idea that you can bolt modern tools onto an old operating system. If you keep Taylorist assumptions — control, top-down decision-making, individualised performance — you don’t get better outcomes; you get faster dysfunction. The alternative is to build a complex adaptive system: minimal structure, distributed decision rights, transparency, experimentation, and learning as the operating logic.

 

3. What do most organisations get wrong about AI adoption right now? Most organisations are experimenting, but many are still treating AI like procurement or a productivity add‑on. They run pilots, roll out copilots, and hope behaviour changes.

The common pattern is speed without direction: AI makes existing processes faster, but the underlying decision bottlenecks, siloed information, and incentive problems remain. Adoption also gets stuck because people aren’t trained to collaborate with AI critically, and because trust is fragile — fear of replacement, fear of mistakes, fear of governance consequences.

Where it goes well, leaders pair AI with transparency, clear decision rights, and psychological safety so teams can question outputs, learn quickly, and apply AI to real decisions, not just tasks.

 

4. What is the “HumanCorps Synth,” and what should people not assume it is? The Synth is a practical vision of a “digital twin” companion — more than a chatbot — that learns with you, supports reflection, and helps you navigate complexity at work. In the book, we use it to make the future tangible: a system that can bring together your goals, organisational context, real-time information, and collaboration patterns, and then act as a sparring partner for thinking and decision-making. What it is not: a replacement for accountability, a black box that dictates outcomes, or a way to bypass human judgement. A well-designed Synth must be permissioned, transparent, and aligned to human outcomes. It should scaffold better questions, not outsource responsibility.

 

5. Why do so many organisations feel stuck, even when they are successful and profit margins are strong? Success can hide brittleness. Strong margins can create a false sense of control, leading organisations to double down on what worked — more process, more targets, more hierarchy — until the environment shifts and the system can’t adapt. HumanCorps describes learned helplessness at scale: people see the dysfunction but feel unauthorised to change it, so they point upward and wait. Add change fatigue from endless transformations, and you get inertia. The paradox is that over‑managed systems often become riskier: when people feel disempowered to take any risk, problems go underground and decision quality drops. HumanCorps “unsticks” organisations by restoring agency through purpose, decision rights, transparency, and a culture of experimentation.

 

6. What’s the “Leadership Delta” — and what must leaders unlearn? Leadership Delta is the shift leaders must make to thrive in HumanCorps conditions: from being the source of answers to being the designer of conditions. Instead of power‑based leadership — being “in charge” and having all the answers — leaders become creators of conditions: they facilitate better questions, foster collective sensemaking, distribute authority, and enable others to lead. Leadership Delta goes deeper than skills; it includes identity (humility, groundedness, belief in others), cognitive capability (systems thinking, business and financial acumen), and real‑time dynamics (emotional regulation and social awareness). In an AI‑rich world, leadership is less about command and more about designing distributed capability.

 

7. What are the most common reasons AI projects fail (beyond technology)?

AI projects often fail for familiar reasons: misaligned goals, poor data foundations, weak adoption, and lack of upskilling. The deeper cause is organisational design. If decision-making is centralised, information is gated, and people feel unsafe experimenting, AI can’t scale beyond pilots. Another failure mode is trust: if people fear replacement or don’t understand limitations — hallucinations, bias, brittleness — they either resist or over-rely. HumanCorps reframes AI as a human system change. You need clear purpose, decision rights, minimal structure, and learning loops. Then build agents into workflows people already use, starting small in low-risk domains and scaling as capability and trust grow.

 

8. What are the three or four primary operating beliefs of senior management that are wrong and harmful when it comes to AI?  Four beliefs do the most damage.

·         “AI is a tool we can bolt on”. Leaders fund platforms and pilots but don’t redesign decision rights, information flow, or incentives — so AI mostly accelerates existing bottlenecks.

·         “Control equals safety”. In BANI conditions, the reflex to add approvals, policies, and central review increases brittleness and slows learning.

·         “Authority belongs at the top”. This traps decisions with HiPPO (Highest-Paid Person in the Office) dynamics, filters reality through layers, and disconnects decision-makers from the work.

·         “Speed/efficiency is the point”. AI’s bigger prize is better decision quality, risk control, and collective learning — not just faster output.

 

9. You say that we need a different structure of organisation, with distinctly different approaches toward decision rights, role definitions, and communication. What are some of the approaches that human-centred organisations are taking now?

We’re seeing organisations move toward flatter, networked systems built for adaptation rather than control. Common approaches include:

 

·         Flattening and reorienting hierarchy into interconnected teams that can reconfigure quickly.

·         Dynamic role definitions: roles evolve with the work; people move across projects based on skills and interest.

·         Decision autonomy with “risk envelopes”: teams choose how decision rights work day-to-day, but do the upfront work to define boundaries, escalation triggers, and accountability.

·         Transparency as a cultural norm: faster knowledge flow across silos, enabled by platforms but sustained by leadership modelling and routines for dialogue.

·         Continuous feedback/iteration: frequent reflection sessions (e.g., premortems, future retros) to improve decision quality and adapt.

 

10. You both have decades of experience advising boards, executive teams, and senior leaders in moments of high pressure: growth, crisis, regulatory change, cultural breakdown, and strategic reinvention. Why is the integration of AI and technologies into the workplace such a disruption that causes panic, confusion, and missteps—or worse, inertia? AI is disruptive because it hits technology, psychology, and power structures at the same time. Technically, AI changes workflows and introduces unfamiliar failure modes. Socially, it raises fears about replacement and fairness, which erodes trust, especially when AI begins influencing autonomous decisions. Organisationally, AI exposes the “data paradox”: we generate oceans of information but still funnel authority through narrow channels, producing paralysis, endless alignment meetings, and slow decisions. Under stress, leaders often reach for more control, which makes systems more brittle and increases learned helplessness. HumanCorps argues this is not mainly a technology problem — it’s a mindset and operating-model problem.

 

11. You say we have entered The Wisdom Age. How do you define that?

The Wisdom Age is the shift from competing on information and knowledge to competing on judgement — how wisely you frame problems, interpret signals, apply values, and act. In the Knowledge Age, advantage came from access to information and the ability to turn it into knowledge. Now AI makes information abundant and cheap, and can generate options endlessly. What differentiates organisations is practical wisdom: turning machine‑generated possibilities into context‑aware, ethical decisions that create real value. HumanCorps describes wisdom generation as an organisational capability — built through reflection, sharing tacit knowledge, collective sensemaking, and shared values — augmented by synthetic systems that help humans deal with complexity at scale.

 

12. You developed a HumanCorps Synth, to go along with the book. What is that and how does it work? The Synth is a vision for a deeper human–synthetic relationship than a chatbot: a “digital twin” companion that helps individuals and teams navigate complexity by integrating context, goals, data, and collaboration patterns. In the book, the Synth is also a narrative device that demonstrates how synthetic agents might support wisdom generation — helping with insight synthesis, scenario testing, learning facilitation, sensemaking rituals, and purpose alignment. Importantly, it’s not about replacing accountability. A well‑designed Synth augments human judgement: it curates signals, surfaces anomalies, runs “what‑if/why‑not” reasoning, and supports reflection. For it to work, organisations need data transparency, trust, and training so people engage critically rather than outsourcing thinking.

 

For more information, please see: https://humancorps.ai/

 

Marketing Help?

Brian Feinblum can be reached at brianfeinblum@gmail.com  He is available to help authors like you to promote your story, sell your book, and grow your brand. He has over 30 years of experience in successfully helping thousands of authors in all genres. Let him be your advocate, teacher, and motivator! 

 

About Brian Feinblum

This award-winning blog has generated over 8,200,000 page views. With nearly 5,700+ posts over the past 15 years, it was named one of the best book marketing blogs by BookBaby http://blog.bookbaby.com/2013/09/the-best-book-marketing-blogs  and recognized by Feedspot in 2026, 2021 and 2018 as one of the top book marketing blogs. It was also named by www.WinningWriters.com as a "best resource.”  Copyright 2026.

 

For the past three decades, Brian Feinblum has helped thousands of authors. He formed his own book publicity firm in 2020. Prior to that, for 21 years as the head of marketing for the nation’s largest book publicity firm, and as the director of publicity at two independent presses, Brian has worked with many first-time, self-published, authors of all genres, right along with best-selling authors and celebrities such as: Dr. Ruth, Mark Victor Hansen, Joseph Finder, Katherine Spurway, Neil Rackham, Harvey Mackay, Ken Blanchard, Stephen Covey, Warren Adler, Cindy Adams, Todd Duncan, Susan RoAne, John C. Maxwell, Jeff Foxworthy, Seth Godin, and Henry Winkler.

 

His writings are often featured in The Writer and IBPA’s The Independent (https://pubspot.ibpa-online.org/article/whats-needed-to-promote-a-book-successfully) and (https://pubspot.ibpa-online.org/article/10-things-my-dog-taught-me-about-marketing-books). He was recently interviewed by the IBPA: https://www.youtube.com/watch?v=F0BhO9m8jbs

 

He hosted a panel on book publicity for Book Expo America several years ago, and has spoken at ASJA, three times at BookCAMP, Independent Book Publishers Association, Sarah Lawrence College, Nonfiction Writers Association, Cape Cod Writers Association, Willamette (Portland) Writers Association, APEX, five times at Morgan James Publishing Red Carpet, and Connecticut Authors and Publishers Association. He served as a judge for the 2024 IBPA Book Awards.

 

His letters-to-the-editor have been published in The Wall Street Journal, USA Today, New York Post, NY Daily News, Newsday, The Journal News (Westchester) and The Washington Post. His first published book was The Florida Homeowner, Condo, & Co-Op Association Handbook.  It was featured in The Sun Sentinel and Miami Herald.

 

Born and raised in Brooklyn, he now resides in Westchester with his wife, two kids, and Ferris, a black lab rescue dog, and El Chapo, a pug rescue dog.

 

You can connect with him at: https://www.linkedin.com/in/brianfeinblum/ or https://www.facebook.com/brian.feinblum