In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI. .News stories covered in this episode:.Elon Musk loses lawsuit against OpenAI - https://www.usatoday.com/story/tech/2026/05/18/elon-musk-loses-lawsuit-openai/90145826007/ .81% of Enterprise Technology Leaders Report Production Failures from AI-Generated Codehttps://markets.businessinsider.com/news/stocks/81-of-enterprise-technology-leaders-report-production-failures-from-ai-generated-code-new-research-shows-1036175180 .Three-quarters of AI’s economic gains are being captured by just 20% of companies – with the leading companies focused on growth, not just productivityhttps://www.pwc.com/gx/en/news-room/press-releases/2026/pwc-2026-ai-performance-study.html .‘Lower-value human capital’ is what bank CEO calls thousands of workers he’s cutting because of AIhttps://www.marketwatch.com/story/ai-in-focus-as-standard-chartered-bank-replaces-lower-value-human-capital-slashing-back-office-workers-by-15-bd147174 .Bain sees US$100 billion SaaS market in agentic AI automation - https://www.artificialintelligence-news.com/news/bain-agentic-ai-saas-market/.Pope Leo to issue text on human dignity and AI with Anthropic co-founder - https://www.theguardian.com/world/2026/may/18/pope-leo-encyclical-human-dignity-ai-anthropic.Visit us on our socials:🦾 Get started with SS&C Blue Prism: https://okt.to/JcMLdU🧑‍💻LinkedIn: https://okt.to/k8zIdp✖️Twitter: https://okt.to/fHyd9G🙋‍♀️Facebook: https://okt.to/Vyjfiz📸Instagram: https://okt.to/5nYvIf💭Blog: https://okt.to/QuGqVP🤩Case studies: https://okt.to/ft1AMX.To ensure that you never miss an episode of Transform NOW, be sure to subscribe!

In this episode, Brad Hairston talks with Brian Evergreen, AI expert/advisor and the author of the book Autonomous Transformation. Brian was named by Forbes as one of the Top 30 Thinkers Redefining Leadership in 2025 and by Edelman as one of the Top 50 AI Creators to know. Brian explains how leaders who stop trying to solve today's problems and start designing tomorrow's future will be the ones who unlock AI's true transformative potential.

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What we talked with Brian about:

* The analog → digital → autonomous transformation continuum

* Reformation vs. transformation — improving without changing structure vs. fundamentally rethinking value delivery

* Future solving vs. problem solving — high-agency vision building vs. elimination-focused thinking

* Pilot purgatory — why AI initiatives stall and the "steamroller" solution

* The role of leadership alignment in overcoming organizational friction

* Vision-first vs. use case-first AI strategy

* The ROI pressure trap and the Netflix/Blockbuster paradigm shift analogy

* Profitable good — the spectrum between greed and altruism and AI's role in enabling it

* The screenless future and human-based services with AI as middleware

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI.

News stories covered in this episode:

• SAP Is Blocking AI Agents. Salesforce Is Welcoming Them. One of These Strategies Will Win. https://www.mindstudio.ai/blog/sap-blocking-ai-agents-vs-salesforce-mcp-first-strategy

• Companies name AI as top reason for job cuts for second straight month: Analysis https://thehill.com/policy/technology/5870898-ai-job-cuts-analysis-trump-admin/

• AI Automation ROI: The Hidden Costs Enterprises Miss https://www.cxtoday.com/ai-automation-in-cx/ai-automation-roi-the-hidden-costs-enterprises-miss/

• European wealth managers hit back after fears AI will make them obsolete - https://www.ft.com/content/5ee15149-3403-4cba-b67d-06af66ca9012?syn-25a6b1a6=1

• Elon Musk Announces xAI Will Become SpaceXAI Division https://www.notateslaapp.com/news/4116/elon-musk-announces-xai-will-dissolve-form-spacexai-subdivision

• Agentic AI: More Human Than Automation https://www.forbes.com/councils/forbestechcouncil/2026/05/12/agentic-ai-more-human-than-automation/

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In this episode, host Michael Marchuk talks with Bryce Carpenter about how AI is transforming manufacturing roles well beyond robots on the shop floor. Bryce discusses how AI and other digital technologies are key to improving productivity per worker and making it economically viable to bring production back without lowering American wages. With Indiana’s population expected to be flat or declining and growth concentrated among retirees, the state cannot rely on an influx of new workers. Instead, it must leverage automation, robots, cobots, and AI to make each worker in advanced manufacturing and logistics far more productive than foreign counterparts, enabling Indiana to compete on output and economics.

-AI Productivity Boost

-No Wage Cuts Needed

-Population Reality

-Automation to Compete

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI. .News stories covered in this episode:.As AI pushes students to reconsider majors, universities struggle to adapthttps://www.yahoo.com/news/articles/ai-pushes-students-reconsider-majors-100000151.html .An amateur just solved a 60-year-old math problem—by asking AI https://www.scientificamerican.com/article/amateur-armed-with-chatgpt-vibe-maths-a-60-year-old-problem .‘The cost of compute is far beyond the costs of the employees’: Nvidia executive says right now AI is more expensive than paying human workers https://finance.yahoo.com/sectors/technology/articles/cost-compute-far-beyond-costs-071100797.html .Chinese Court Rules That a Worker Cannot Be Replaced by AI https://futurism.com/artificial-intelligence/china-legal-ai-automation .Google is partnering with XPRIZE and Range Media Partners on the $3.5 million Future Vision film competition. https://blog.google/innovation-and-ai/technology/ai/future-vision-film-competition-xprize .New pet robot uses local multimodal AI to learn and adapt to human behavior https://interestingengineering.com/ai-robotics/familiar-robot-consumer-physical-ai-reveal .Visit us on our socials:🦾 Get started with SS&C Blue Prism: https://okt.to/JcMLdU🧑‍💻LinkedIn: https://okt.to/k8zIdp✖️Twitter: https://okt.to/fHyd9G🙋‍♀️Facebook: https://okt.to/Vyjfiz📸Instagram: https://okt.to/5nYvIf💭Blog: https://okt.to/QuGqVP🤩Case studies: https://okt.to/ft1AMX.To ensure that you never miss an episode of Transform NOW, be sure to subscribe!

In this episode, Brad Hairston talks with Vikash Jain, Managing Director and Senior Partner at Boston Consulting Group, who explains how agentic AI is expanding — not shrinking — the tech services market, while unpacking the gaps in productivity expectations, enterprise readiness, and commercial models that will define who wins and who gets left behind.

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What we talked with Vikash about:

* Agentic AI as a growth catalyst for tech services, not a compression force

* The wide distance between AI optimism at the C-suite and actual organizational adoption capacity

* Enterprises expecting 30–40% gains; service providers only willing to commit 6–15%

* Structural and contractual obstacles preventing true value/risk-sharing models

* Top-down AI urgency driven by CEOs and boards, outpacing middle-management engagement

* BFSI as the front-runner in agentic adoption, particularly in customer-facing and GRC applications

* Pure-play ops-heavy service providers with limited agility as the most vulnerable cohort

* Data, security, and AI-enabling infrastructure as the "shovels and picks" opportunity of this era

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BCG article discussed in this episode: https://www.bcg.com/publications/2026/the-200-billion-dollar-ai-opportunity-in-tech-services

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI.

News stories covered in this episode:

• Google will invest as much as $40 billion in Anthropic https://arstechnica.com/ai/2026/04/google-will-invest-as-much-as-40-billion-in-anthropic

• OpenAI Posts Five-Principle Framework for AGI, Altman Concedes Bigger Role https://www.implicator.ai/openai-posts-five-principle-framework-for-agi-altman-concedes-bigger-role-2

• When AI starts playing doctor: governing agentic systems in healthcare - https://tech.yahoo.com/ai/articles/ai-starts-playing-doctor-governing-102639074.html

• Billions of AI Agents Are Coming to Work: Yet Most Enterprises Are Still Asking the Wrong Questions - https://www.usatoday.com/story/special/contributor-content/2026/04/21/billions-of-ai-agents-are-coming-to-work-yet-most-enterprises-are-still-asking-the-wrong-questions/89722914007/

• What Happens When A.I. Runs a Store in San Francisco? https://www.nytimes.com/2026/04/21/us/san-francisco-store-managed-ai-agent.html?unlocked_article_code=1.eFA.7jVB.5i5HUjjcUKyj&smid=url-share&utm_source=tldrai

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In this episode, host Michael Marchuk welcomes technologist David Dean to the Transform Now Podcast to discuss Dean’s book, An Inbox Between Us, which explores how work actually gets done through an “unwritten contract” of emails, meetings, and informal workarounds that sit alongside official processes. Dean explains how bottlenecks are overcome through human lived experience, creativity, and psychological safety, and argues AI should be used as a tool for organizational self-realization rather than a magic fix or a replacement for people. He outlines self-service vs controlled AI, likens AI agents to junior coworkers that require trust-building, guardrails, feedback loops, and optional autonomy, and says AI increases authenticity by exposing hidden workflows and artifacts like spreadsheets. The conversation emphasizes reclaiming time for critical thinking and the risks of ignoring human behavior when redesigning workflows with AI.

-The Invisible Contract

-Bottlenecks and Experience

-Resistance and Self Realization

-Self Service vs Controlled AI

-Accountability and Delegation

-Training Wheels to Autonomy

-AI Exposes Hidden Work

-Reclaiming Thinking Time

-Using AI to Understand Work

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In this episode, Transform NOW co-hosts Brad Hairston and Michael Marchuk banter about some interesting recent news headlines in the world of automation and AI.

News stories covered in this episode:

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Meta workers outraged over internal software tracking keystrokes, mouse movements: ‘How do we opt out?’ https://nypost.com/2026/04/22/business/meta-workers-outraged-over-software-tracking-keystrokes-mouse-movements/

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Coding agents ignore their own budgets

https://x.com/RampLabs/status/2046624992956146158

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AI ruling prompts warnings from US lawyers: Your chats could be used against you https://www.yahoo.com/news/articles/ai-ruling-prompts-warnings-us-100118983.html

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‘Silent failure at scale’: The AI risk that can tip the business world into disorder

https://www.cnbc.com/2026/03/01/ai-artificial-intelligence-economy-business-risks.html

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A Newspaper Is Allegedly Slapping Humans’ Names on AI Stories Without Their Permission - https://gizmodo.com/newspaper-company-allegedly-puts-humans-bylines-on-ai-articles-unless-contractually-prevented-from-doing-so-2000749344

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Don't Default To The Biggest AI Model: Agentic Systems Deserve Better - https://www.forbes.com/councils/forbestechcouncil/2026/04/22/dont-default-to-the-biggest-ai-model-agentic-systems-deserve-better/

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In this episode, host Michael Marchuk hosts Len Ward, founder and managing partner of Connexis and former Wall Street VP, who shares his path from Morgan Stanley and Credit Suisse First Boston to building a full-service agency that went all-in on AI after OpenAI’s emergence. Len explains the shift from “search and retrieve” to “solve my problem,” emphasizing measurable AI impact by removing bottlenecks in sales, marketing, and customer service, often starting with chatbots that reveal real customer questions. He warns against SEO-style “snake oil,” predicts declining website importance as LLMs reduce links, and urges companies to build brand presence, custom GPTs, and apps. Len highlights organizing SOPs and materials into data rooms for LLMs, preparing for agent-to-agent commerce, and measuring AI success via customer acquisition cost and lifetime value. He advises appointing an internal AI leader, moving from Q&A to building with AI, prioritizing speed, and redesigning operations around the customer journey.

What we talked to Len about:

-Going All In on AI

-Search to Solve Shift

-Getting Found in LLMs

-Writing for Humans and LLMs

-Data Rooms and Knowledge Bases as sources

-Agents and the New Web

-Measuring AI ROI with CAC

-Building AI Leadership Now

-AI Rollout for Midmarket Firms

-Speed as the Winning Moat

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