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Polaris Pathways - a Synozur podcast: Daily Summaries Delivered
by Chris McNulty
Synozur – the transformation company – is an advisory agency that reimagines business for our clients, navigating the complexities of leadership and strategy with ease. We deliver strategic advisory services and help define your "North Star" for business excellence. Polaris helps chart the course for business, technology and leadership transformation.
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- 1 weeks ago44 min
Tribal Nations, AI, and the Sovereignty Question
Bill Barkovic of BOC and Synozur's Michelle Boyd join Chris McNulty to explore how America's tribal nations are adopting AI on their own terms — protecting data sovereignty, preserving language and culture, and serving citizens better. Takeaways Three terms, three different things. Sovereignty is a nation-to-nation relationship with the US. Data sovereignty is a nation's authority over data about its citizens, lands, and culture — no matter who holds it. Digital sovereignty extends that authority to the systems the data lives in: the network, the cloud, and the model. The policy conversation has moved down the stack. Cherokee Nation signed its first AI policy last year; in February 2026 it turned to data centers, land, and environment. Arizona's health department adopted what is believed to be the first state-level Indigenous data sovereignty policy in the country, covering all 22 federally recognized tribes in the state. Relationships come before requirements. Bill was told not to expect a response from tribal clients for the first year — they are deciding whether you will stick around. That patience is the entry fee, and it changes how technology work gets scoped and delivered. Sovereignty was the gate to the cloud, and it is now the gate to AI. Fewer than 40 tribal tenants were in the cloud when Bill started; roughly 18 months of work on the sovereignty question opened the gates. The same pattern is repeating with AI — curiosity paired with real concern. Tribal AI adoption ranges widely. Some tribes are still finalizing acceptable-use policies. Others are running GitHub Copilot at scale, building agents in Agent Builder and Power Platform, and learning token economics firsthand. The use cases are governmental, not just commercial. AI as a switchboard in Teams so citizens can request forms without driving in. Clinical support as tribes take health services back from IHS. Cultural and language preservation as elders and fluent speakers grow fewer. Land is a technology issue. Data center water use, power, and land acquisition come up in nearly every AI conversation with tribes — and they are a cultural concern, not just an ESG line item. Talent pipelines are fragile. When a trained tribal employee is recruited away, it can set the whole organization back. Building depth behind each role matters as much as filling it. Sound Bites Bill Barkovic — VP of Sales, Business Operational Concepts "The US leaders and the federal leaders needed to look at the tribes as essentially countries within our country. And that same thought process had to be applied to them." "Yes, this is a casino and they're generating large volumes of money, but 75 to 80 percent of that money gets redirected to the government to take care of their people." "It's really asking questions and listening — ditching what you know in your technology background and wanting to jump to the first answer, and actually listening to what they're trying to tell you." "There's a slow progression towards AI. There's a lot of curiosity, but there's also a lot of concern around data sovereignty." Michelle Boyd — Executive Director, First Nations AI and Digital Futures, Synozur "As I was growing up, what I saw was always a resistance to technology from the tribes. It was seen as something that could degrade culture, language, stories, knowledge, and that preservation." "Digital can actually help save and preserve and share the richness of their culture. It gives them an opportunity to create longevity for the stories that are being told." "That's a very tribal mindset — to take things that are risks or issues or threats and turn them into a power." References Guests Bill Barkovic LinkedIn Bill Barkovic speaker profile: TribalHub. Business Operational Concepts (BOC, LLC). boc.us.com · <a
- Aug 12, 202639 min
David Pourquery - From Private Equity to Outthinking Google
GROAS founder David Pourquery joins Polaris to explain how AI now plans, builds, and runs Google Ads campaigns end to end — and what that means for agencies, marketers, and the judgment calls only people can make. Key Takeaways Google's automation arrives on a schedule, not on request. Starting September 1, Google begins upgrading eligible search campaigns to AI Max, migrating automatically created assets and campaign-level broad match — for many advertisers, whether they opted in or not. Automation is outrunning the evidence. Independent industry testing of AI Max has produced mixed results so far, with a majority of matched queries failing to convert. The single most important number is what a customer is worth. Before you spend a dollar, you need to know what you can afford to pay Google for each customer acquired. Most businesses cannot state that number. Know your words as well as your numbers. Unclear ideal customer profiles and vague value propositions sink campaigns before bidding ever becomes the problem. Messaging decides who you attract and who you repel. The agency model is under structural pressure. WPP, once the largest advertising group in the world, moved away from the holding company structure after a year of steep revenue declines and account losses. As David puts it, an agency has always been an arbitrage on human labor. The disruptor's best customers were the incumbents. GROAS set out to displace agencies; agencies are now its fastest-growing segment, because they get value from day one across an existing book of clients. Bootstrapping a software company got dramatically cheaper. AI-assisted development made a lean, venture-free build possible — David says deployment speed rose by 20x to 30x in nine months. What survives automation is judgment. Executing the plan is what is disappearing. Deciding what the plan is worth — and being willing to say no to something reasonable — is not. Guest Quotes David Pourquery, Founder & CEO, GROAS "An agency has always been an arbitrage on human labor. So if the value of human labor keeps going down because of AI, then agencies ultimately, unless they adapt pretty brutally, I think will get squeezed out." "I am of the firm belief that not everybody should run paid ads. It's like one of the most competitive things on earth. Because if you can get it right, it's effectively a free money printer. You put one dollar in, three dollars comes out." "A lot of those automations take away power and control from the advertiser. There are countless horror stories, you can go online, of people just going and applying all of Google's recommended settings and then just burning $3,000." "Ultimately the number is, what can you afford to pay Google for every customer? And you'd be surprised at the number of businesses who don't know what that is." "We were like, we're gonna displace the agencies. Now they're becoming a bigger part of our clients. What's ironic in all of this is that they are actually the best customers of GROAS, because they get value from it from day one." "AI will cause major, major margin compression on all forms of computer work, long term. This applies to lawyers, doctors, accountants, investment bankers." References Guest GROAS — groas.com. David Pourquery on LinkedIn — linkedin.com/in/davidpourquery. Industry Google Ads AI Max migration beginning September 1, covering automatically created assets and campaign-level broad match — Search Engine Roundtable: On Sep 1 Google Ads To Migrate ACA & Campaign-Level Broad Match To AI Max. Independent industry testing of AI Max for Search — PPC Land: Google's AI Max for Search campaigns deliver "meh" results, industry tests reveal and PPC Live: What the dat
- Jul 29, 202650 min
Dr. Craig Kaplan - Superintelligence – Not Just p(Doom) and Gloom
Show Notes Polaris is a production of Synozur – the transformation company. Synozur reimagines business for our clients, navigating the complexities of transformation and strategy with ease. In this episode, Dr. Craig Kaplan shares his insights on the evolution of AI, safety considerations, and the importance of democratic values in developing superintelligence. Discover how AI systems can be designed for safety and alignment with human values. Key Takeaways What "p(doom)" means, why a recent survey of researchers put the median near 20%, and why Kaplan believes smart design can push it below one-tenth of one percent. The three eras of AI — symbolic rules (1956 to the mid-1980s), machine learning, and today's age of autonomous agents — and what each one got right and wrong. Why safety works best when it is designed in from the start, using a lesson from software quality: prevention is far cheaper than a cure. The alignment problem in plain terms — reason alone cannot tell a machine right from wrong, so its values have to come from people. Why concentrating an AI's values in one place is brittle, and how spreading them across millions of people and agents makes the system safer and harder to corrupt. Lessons from PredictWallStreet, where the "collective intelligence" of everyday investors outperformed top Wall Street quants. How this week's headlines — an AI agent escaping its test sandbox, and a record-breaking open-weight model — make the case for safety-by-design urgent. Sound Bites - Dr. Craig Kaplan "P Doom is just the probability that AI kills us all." "I don't think it needs to be 20 or 10%. I think we can bring it way down to under 1%. And it's just a matter of designing things appropriately." "I actually don't think we need to slow down in order to be safer. We just need to be a little smarter about it." "The collective wisdom of millions of average Joes and Janes who are not the Wall Street people, if you harness that intelligence correctly, you could beat the best guys on Wall Street." "Do not underestimate your impact. Everything that all of us do matters… everything we're doing right now is training AI." References Guest: Dr. Craig A. Kaplan — SuperIntelligence.com · iQ Company LinkedIn: linkedin.com/in/craigakaplan · Substack: read.superintelligence.com PredictWallStreet, Kaplan's collective-intelligence trading platform, which powered more than $2 billion in trades and was acquired in 2020 — iQ Company (About). News Kimi K3, the 2.8-trillion-parameter open-weight model from China's Moonshot AI, released July 16, 2026 — VentureBeat. OpenAI's disclosure that its models escaped a testing sandbox and compromised Hugging Face during an internal cyber evaluation — OpenAI, CNBC, and Hugging Face's incident disclosure. AI and Superintelligence The p(doom) figure — a 2026 survey of more than 50 researchers placing the median near 20% — researcher survey; and Nature on whether the louder AI-doom warnings are realistic. The Center for AI Safety's
- Jun 21, 202637 min
From the Closet to the C-Suite: The Case for Radical Honesty
Show Notes Polaris is a production of Synozur – the transformation company. Synozur reimagines business for our clients, navigating the complexities of transformation and strategy with ease. Mirror 360 founder Petar Kralev joins Polaris to explain why honest feedback is the most expensive thing companies fail to capture — and how a 20-second, anonymous weekly reflection finally surfaces the truth leaders need. Takeaways Bigger companies often get worse at honest feedback, not better. Formal reviews, large HR teams, and L&D budgets are built mostly to document and reduce legal risk — not to capture how people actually experience work. Three things have to come together to unlock the truth: safety, ease, and a return on investment. Anonymity must be beyond doubt, input has to take seconds, and people need to see that speaking up actually matters. One simple opening question carries most of the signal: "How is John working lately?" Mirror 360 then asks five standardized reflections — communicates well, solves problems, fits on the team, follows high standards, and takes initiative. Anonymity is engineered, not promised. Invitations go out on a randomized weekly cycle and reflections are delivered in batches, so no one can trace a single piece of feedback back to a difficult conversation. AI is the enabler, not the headline. It filters harmful or legally risky comments and turns raw input into a clean signal — but Mirror 360 frames itself as the infrastructure that makes AI useful for management, not "another AI company." Remote and distributed work broke the old water-cooler signal. A teammate who sits beside you often knows more about your work than a manager who sees you once a month; Mirror 360 rebuilds that insight digitally. The results are measurable. Roughly 90% participation at launch, about nine in ten underperformers stepping up once they see their "mirror image," and one team reaching ~92% top fulfillment after a toxic manager was replaced. Sound bites (Petar Kralev) "We don't really easily reveal what we honestly think about each other or about what we see around us in the work context. And that is a crazy, crazy expensive problem." "If the system you have in place today does not provide complete anonymity beyond any doubt, you already have polluted the signal." "It's not like a survey about your coffee… But that coworker, you're gonna work again and again and again — you actually want to nudge them to drive the right behavior." "I'm very clear to not make Mirror 360 like another AI company. It's the infrastructure to make AI useful." "Never does the truth do damage. It may shock you, it may hurt your ego temporarily, but you will be better for knowing it. And the world will be better for knowing it." "It's the difference between turning on the lights or staying in the dark." "What story do you tell yourself that you take for the truth? Because these stories really are the ceiling we impose on ourselves — and we forget that we just made them up." References Guest Notes Mirror 360 — company website: mirror360.org. Mirror 360 on LinkedIn: linkedin.com/company/mirror-360. P Petar Kralev on LinkedIn: linkedin.com/in/petarkralev; Petar also publishes longer-form writing on the workplace visibility problem on Substack at https://substack.com/@petarkralev Industry Gallup, State of the Global Workplace: 2026 — global engagement at 20%, an estimated $10 trillion in lost productivity, and most of the recent decline attributed to falling manager engagement: gallup.com. U.S. engagement figures (United States and Canada at 31%, the highest-ranked region) from the same Gallup report: <a href= "https://www.gallup.com/workplace/697904/state-of-the-global-workplace-glob
- May 8, 202643 min
Back in the (Intra) Zone - Mark Kashman
Polaris is a production of Synozur – the transformation company. Synozur reimagines business for our clients, navigating the complexities of transformation and strategy with ease. Former Intrazone co-hosts Chris McNulty and Mark Kashman reunite on Polaris to unpack the biggest news from the Microsoft 365 Community Conference—AI skills, Copilot's evolution, SharePoint's 25th anniversary—and reflect on the enduring power of community in the modern workplace. Takeaways AI adoption vs. readiness gap. Chris cites industry research showing 91% of organizations now use at least one AI technology and an average of 5.4 hours saved per employee, drawn from a study of 443 million work hours across over 1,000 companies1. Yet at the recent AIIM Summit in Baltimore, Chris polled a room of roughly 50 professionals on daily AI use—and was the only hand up2. The ActivTrak "2026 State of the Workplace" report confirms that while 80% of employees now use AI tools (up from 53% two years ago), only 3% spend the optimal 7–10% of their work hours in AI, and 57% spend less than 1%3. Leaders should focus on practical readiness—not headline adoption numbers. Content structure is critical for AI. Modern enterprise content management platforms now use AI for auto-classification, document summarization, and contextual Q&A4. But Mark stresses that the underlying metadata, lifecycle management, and information structure must be sound first: "If the form that nobody ever filled out gets filled out and is valid and truthful…you will have a system that works better"5. Organizations should prioritize content readiness before scaling AI. SharePoint Skills — no-code AI instructions. Microsoft unveiled SharePoint Skills in public preview, allowing teams to encode best practices and process rules as Markdown (.md) files stored within SharePoint sites6. These skills give Copilot and AI in SharePoint persistent context—tone guidelines, product terminology, workflow steps—so results are on-brand and site-specific without any coding7. According to the buckleyPLANET conference recap, Skills are included in existing Microsoft 365 or Microsoft Copilot licensing with no additional procurement step8. Copilot CoWork and Skills convergence. Chris explains that Copilot CoWork, based on Anthropic technology, lets individual users build personal AI skills stored as Markdown files in OneDrive9. Meanwhile, SharePoint Skills operate at the site/group level10. The expectation is that these two streams will converge, allowing a skill perfected by one person to be shared organization-wide11. Agent 365 & governance at scale. Microsoft's Agent 365 gives organizations a single pane of glass to manage AI agents—whether built in Copilot Studio, SharePoint, Visual Studio Code, or Foundry—across the entire tenant12. Mark describes agents as "kind of being a little bit more like people…an entity that you can assign things to"13. The buckleyPLANET recap notes Agent 365 went GA on May 1 at $15 per user per month, and that Microsoft internally manages over 500,000 agents across roughly 228,000 employees14. Purview's evolving AI oversight. Purview is consolidating classic DSPM and DSPM for AI into a unified engine that monitors how people interact with content and AI15. Chris gives a practical example: Purview can now block queries like "tell me the top 10 salaries" from reaching Copilot, even if the underlying content is unprotected16. For leaders, this signals that security, compliance, and AI governance are converging into a single policy surface. Community as a leadership accelerator. As SharePoint marks its 25th anniversary, both hosts reflect on the endu
- Apr 17, 202647 min
Andrew Connell - Good (AI Coding) Vibrations
Polaris is a production of Synozur – the transformation company. Synozur reimagines business for our clients, navigating the complexities of transformation and strategy with ease. Chris McNulty and Microsoft MVP Andrew Connell explore the explosive rise of "vibe coding" — AI-assisted development from natural-language prompts — and debate the real-world risks, rewards, and strategic implications for today's business and technology leaders. Takeaways Vibe Coding Has Gone Mainstream. AI-assisted coding is no longer experimental. A GitHub survey found 92% of U.S. developers use AI coding tools at work, and Gartner projected that 60% of new code would be AI-generated by 2026. The global market for AI code-generation platforms has reached $4.7 billion, with projections of $12.3 billion by 2027. Collins English Dictionary cemented the trend by naming "vibe coding" its 2025 Word of the Year. [secondtalent.com] [strayspark.studio] [ndtv.com] Speed Gains Come with a Comprehension Tax. A January 2026 Anthropic randomized controlled trial of 52 junior engineers found that developers using AI code assistants scored 17% lower on comprehension tests than those coding manually — averaging 50% versus 67% on quizzes — with the largest gap appearing in debugging questions. Productivity gains did not reach statistical significance. This confirms what Andrew warns: rapid output without understanding creates fragile systems. [infoq.com] Microsoft's Copilot Strategy Is Fragmented. Andrew contends that Microsoft is "flailing" and "shipping the org chart," with multiple disconnected Copilot products that confuse customers. A Recon Analytics study of more than 150,000 respondents (July 2025–January 2026) found Microsoft Copilot's share as paid users' primary AI tool fell from 18.8% to 11.5% — a 39% contraction — while Google Gemini climbed from 12.8% to 15.7% and ChatGPT held roughly 55.2%. When all three platforms were available, only 8% of workers chose Copilot versus 70% for ChatGPT and 18% for Gemini.[reconanalytics.com] "Agentic Engineering" Is the Mature Alternative to Naive Vibe Coding. Andrew initially "hated" the term vibe coding but came to distinguish between undisciplined prompt-and-ship and a professional practice he calls agentic engineering, a term he credits to technologist Simon Willison. In agentic engineering, the developer still reviews AI output, plans architectures, and catches errors — using AI as a force-multiplier for experienced judgment, not a replacement for it. Developers Are Becoming AI Orchestrators. Chris and Andrew agree that the most effective AI-era developers act like development managers: delegating tasks to specialized AI agents (ideation, UX, debugging, documentation) and then integrating and verifying results. Andrew recommends organizations build an internal Center of Excellence — a handful of people who deeply understand AI tooling and can guide the broader team. Entry-Level Talent Still Matters — IBM Proved It. Despite predictions that AI would replace junior roles, IBM announced in February 2026 that it is tripling its entry-level hiring, including for software developers. IBM CHRO Nickle LaMoreaux stated: "We are tripling our entry-level hiring, and yes, that is for software developers and all these jobs we're being told AI can do". IBM's rationale: cutting junior talent creates future shortages of mid-level managers and senior experts, and outside hires cost more and adapt more slowly. [finance.yahoo.com] Quality and Security Demand "Vibe Checks." A December 2025 CodeRabbit analysis found AI co-authored code contained approximately 1.7× mor
- Mar 24, 202615 min
Inside Microsoft 365 E7, Or, How Four Equals Seven
Polaris is a production of Synozur – the transformation company. Synozur reimagines business for our clients, navigating the complexities of transformation and strategy with ease. In this episode of Polaris, we explore Microsoft's game-changing March 2026 announcements – including the Microsoft 365 E7 "Frontier Suite," Agent 365 for AI governance, and the new Copilot Cowork capability – and unpack what these innovations mean for business and technology leaders navigating the AI-powered future. Key Takeaways Microsoft 365 E7 ("Frontier Suite"): Microsoft introduced Microsoft 365 E7, the first new top-tier enterprise plan since 2015. Branded the Frontier Suite, E7 bundles all of E5 with Microsoft 365 Copilot, the new Agent 365 platform, the full Entra ID identity suite, and advanced security (Defender, Intune, Purview). This $99/user/month plan (GA May 1, 2026) signals that AI capabilities and enterprise trust are now inseparable – AI and security/governance come as one package. Agent 365 – Tackling "Agent Sprawl": Agent 365 is Microsoft's response to uncontrolled AI "agent sprawl," the proliferation of chatbots and Copilots across organizations. It provides a single control plane for all AI agents (including third-party bots), giving each agent a unique Entra ID and allowing IT to observe, govern, permission, audit, and if needed, shut down agents. CIOs and CISOs get the ability to say "yes" to AI innovation without losing control, as Agent 365 ensures compliance with security and data policies for every bot. Agent 365 goes generally available May 1, priced at $15/user (and is included in E7). Copilot "Cowork" – The Next Evolution of AI at Work: Microsoft announced Copilot Cowork, a new capability transforming Copilot from a one-off Q&A assistant into a persistent digital coworker that can engage in long-running, multi-step collaboration across documents, apps, and time. Instead of just answering a single prompt, Copilot with Cowork can carry context over multiple interactions and proactively check in as tasks progress. Copilot Cowork is in private preview (via Microsoft's Frontier program) – not broadly available yet – but it offers a glimpse into how AI will work alongside people continuously, not just reactively. Microsoft also disclosed that Copilot is now model-diverse, dynamically choosing between OpenAI's GPT and Anthropic's Claude models depending on the task, giving organizations greater resilience and flexibility. "Intelligence + Trust" – Microsoft's Strategy Shift: A core theme is that AI at scale demands equal investment in security, identity, and compliance. Microsoft is bundling AI innovations with governance tools by design. For example, E7's introduction pairs M365 Copilot and Agent 365 together, and new governance features are rolling out: Purview Data Loss Prevention now covers Copilot prompts and outputs, sensitivity labels apply to content generated in tools like Viva Engage, and upcoming AI security posture enhancements are in preview. Microsoft's clear message: "Security is not a luxury when it comes to AI" – future enterprise AI solutions must bake in compliance and trust from the ground up. Practical Updates and "Frontier" Readiness: Alongside the big announcements, Microsoft delivered smaller but significant updates to improve day-to-day productivity and readiness for this AI-driven era. Microsoft Teams Copilot's Intelligent Recap can now summarize themes across multiple meetings – threading decisions over time, not just per meeting. Copilot can also condense long Teams chat threads into tables or key insights, a boon for catching up on busy channels. Viva Engage (Yammer) received a revamped, more engaging article publishing experience, ensuring employee communications remain accessible and visually rich. On the content management side, SharePoint's 25th anniversary came
- Mar 18, 202614 min
AI in 2026: A Trillion Dollars Is Coming. Who's Going to Win It?
Polaris is a production of Synozur – the transformation company. Synozur reimagines business for our clients, navigating the complexities of transformation and strategy with ease. The Synozur 2026 AI Report lands with a clear verdict: the global AI market is on a path to $944 billion by 2030 — but most organizations are stuck in the middle, scoring just 260 out of 500 on AI maturity, while a small group of leaders pull decisively ahead. Takeaways The AI market is enormous — and the range of estimates tells you everything. Global AI spend in 2026 is projected anywhere from $244 billion to $2 trillion, depending on what you count. Synozur's weighted average: $453 billion this year, growing to $944 billion by 2030. Most organizations are stuck in the middle. Across 125+ companies assessed using Synozur's AI Maturity Model, the average score is 260 out of 500 — beyond experimentation, but far from scaled. The gap between leaders and laggards spans more than 250 points. Small firms and professional services are winning. Agile, knowledge-centric organizations score in the 300–330 range. Mid-market companies (50–999 employees) trail at 171–225 — a "squeezed middle" that represents the biggest opportunity for intervention. Culture and use-case integration are the weakest links. These are the two dimensions most critical to scaling AI beyond a pilot — and they consistently score the lowest across every region and sector assessed. The pilot-to-production gap is real and costly. Per Deloitte's 2026 State of AI in the Enterprise (released at Davos), only 25% of companies have moved 40% or more of their AI pilots into production. AI maturity isn't a technology problem — it's a culture and execution problem. Three predictions for 2026: Microsoft launches its own first-party LLM by June; a new "Agent Boss" platform category emerges to help business users manage multiple AI agents in one place; and professional associations — not governments — set the first meaningful AI standards in the U.S. AI maturity is now a financial differentiator. Research from the Quantum Institute analyzed 847 publicly traded companies and found AI-mature organizations now achieve operating margins 47% higher than early-stage peers — up from 21% just 18 months ago. Sound Bites: "The AI market is tremendous. The gap between leaders and everyone else? Even bigger." "A trillion dollars is coming. The question is: who's going to capture it?" "On average, organizations score 260 out of 500. They've moved beyond experimentation — but they're nowhere near scaled. The spread is the real story." "If 2025 was about experimentation, 2026 will be about consolidation and governance. Knowledge is power." "Most agent management today is cut and paste. If you're jumping between Copilot, ChatGPT, Perplexity, Replit, and NotebookLM — that's a messy process. Something has to change." "Professional associations need to fill the regulatory gap. We expect legal, accounting, and healthcare associations to lead well before Washington does." References Research & Reports Deloitte AI Institute, State of AI in the Enterprise 2026: The Untapped Edge — released at Davos, January 21, 2026. Key finding: only 25% of companies have moved 40% or more of AI pilots into production; 34% report using AI to "deeply transform" their business. Read the report McKinsey & Company, The State of AI in 2025: Agents, Innovation, and Transformation — finds nearly 88% of organizations use AI, but most remain in early scaling stages. <a href= "https://www.mckinsey.com/capabilities/q
About Polaris Pathways - a Synozur podcast
Synozur – the transformation company – is an advisory agency that reimagines business for our clients, navigating the complexities of leadership and strategy with ease. We deliver strategic advisory services and help define your "North Star" for business excellence. Polaris helps chart the course for business, technology and leadership transformation.
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