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Anthropic just dropped a dragon-class model on our laps, but can you steer it without torching your codebase in the process? This week on the Friday Deploy, Ben and Andrew unpack the sudden arrival of Fable 5 and how to leverage it to scrutinize your systems before the massive API paywall hits. They also take aim at the unsustainable trend of tokenmaxxing and explore how intelligent model routing can drastically cut your AI spend. Finally, they tackle the unmaintainable mess left behind by AI rockstar developers and share how they are orchestrating their own agent-to-agent collaboration.OFFERSStart Free Trial: Get started with LinearB's AI productivity platform for free.Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.LEARN ABOUT LINEARBAI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.
Join us this week for The Tech Leaders' Podcast, where Gareth sits down with Nicola Mendelsohn, Head of Global Business Group at Meta, at Meta Conversations 2026 in the historic Methodist Central Hall in the heart of Westminster. Nicola talks about the new WhatsApp for Business, the technical challenges around it, the importance of data safeguarding and the role of Meta's Chief Privacy Officer. On this episode Nicola and Gareth discuss the challenges around Enterprise AI adoption and governance, and her advice to UK businesses. Timestamps: Introduction (1:58) Meta and Enterprise Messaging (4:30) Technical Challenges (14:51) Data Safeguarding and the Chief Privacy Officer (17:52) Enterprise AI Adoption and Governance (18:50) Advice for UK Businesses (26:55) https://www.bedigitaluk.com/
Può una bottiglia di vino comportarsi come un asset finanziario?In questa puntata di Pionieri del Tech parlo con Matteo Enna, CTO di Fine Wine Trading, una startup fintech nata come spin-off di Villa Sostaga che sta costruendo una piattaforma capace di gestire oltre 2 milioni di asset legati al mercato dei vini pregiati.Parliamo di microservizi, open source, WordPress, PHP, architetture data-intensive, integrazione con borse internazionali del vino, AI generativa e cultura engineering all'interno di una realtà nata lontano dai classici distretti tecnologici.Una conversazione che dimostra come innovazione, dati e software possano trasformare anche uno dei settori più tradizionali.Host: Alex PagnoniGuest: Matteo Enna (CTO, Fine Wine Trading)Capitoli00:00 Introduzione01:32 Da sviluppatore backend a CTO di una fintech del vino04:20 Open Source, WordPress e personal branding tecnico08:05 Come nasce Fine Wine Trading11:12 Costruire una cultura engineering-first in un hotel 5 stelle15:05 Oltre 2 milioni di asset tra vini, annate e lotti19:42 Il problema della normalizzazione dei dati23:10 API, borse internazionali e fonti di verità26:45 Perché scegliere i microservizi in una startup32:18 Debito tecnico, scalabilità e monostack PHP38:02 Dal B2C al B2B in pochi mesi42:11 AI generativa e sviluppo software in team lean47:06 Wiki aziendale come fonte di verità per le LLM51:34 Tool interni costruiti con l'AI55:27 I libri consigliati da Matteo Enna58:12 Conclusioni
Il mondo del software ci ha insegnato che per crescere devi bruciare cassa, inseguire un round d'investimento e ottimizzare tutto per l'exit. Ma cosa succede se si prova a costruire un'azienda che serve oltre 1.400 hotel, diventando leader di mercato senza mai chiedere un euro a un fondo di Venture Capital?In questa puntata di Pionieri del Tech, Alex Pagnoni ospita Marco Matarazzi, CEO e co-founder di Slope. Dopo anni come software engineer a San Francisco, Marco è tornato in Italia per dimostrare che ingegneria e business possono coesistere in modalità bootstrapped, mantenendo un controllo totale sul prodotto e sulla sostenibilità aziendale. Scopriamo insieme perché la "Fat Startup Syndrome" rischia di uccidere il tuo prodotto e come la scarsità di risorse possa trasformarsi nella tua più alta disciplina architetturale.Host: Alex PagnoniGuest: Marco Matarazzi (CEO & Co-founder di Slope)Risorse citate nell'episodio:- Slope (Gestionale all-in-one per hotel): https://www.slope.it- Profilo LinkedIn di Marco Matarazzi: https://www.linkedin.com/in/marco-matarazzi-80964541/Capitoli (Timestamp)00:00 - Il mito del Venture Capital e l'alternativa Bootstrap01:31 - Perché "Startup" è la parola sbagliata03:04 - La "Fat Startup Syndrome" e i danni dei round di finanziamento05:12 - Dalla consulenza USA al modello SaaS: la storia di Slope07:05 - Efficienza architetturale: come gestire il debito tecnico senza cassa infinita09:18 - Analisi di Prodotto: Essere Tech-Driven e saper dire di no11:42 - Il dilemma Make or Buy nell'era dell'AI (Il caso del modulo Peak)14:10 - Scelte di Stack Tecnologico: Rigore su PHP, Symfony e Postgres16:25 - Gestione del Team orizzontale e l'illusione delle Stock Option18:48 - L'antidoto al Burnout e l'uso razionale dell'AI nelle Code Review21:15 - Consigli ai Founder Tecnici: Posticipare i round e riaccendere il cervello
Five stories, one week: the Pope released a 42,000-word document calling for AI to be disarmed. Researchers left 10 AI agents unsupervised in a virtual town and watched them commit arson and assault within days. Elon Musk launched a coding agent to compete with Anthropic and OpenAI. Waymo is creating gridlock in Atlanta. And Ferrari unveiled a $640K electric car that is slower than a Tesla.The question underneath all of it: who is actually in charge of this, and does that person have any reason to care what happens to everyone else?Key Moments00:00 — Jeremy opens with his Ferrari dream, then pivots to the Pope's 42,000-word AI document01:09 — Jason draws the parallel between religion and AI as competing systems of social control04:41 — The real concern: not a sky monster, but the followers who don't think critically05:22 — Why religion and AI converge on the same lever: influencing behavior at scale09:27 — Emergence experiment: 10 AI agents, a simulated town, arson and self-deletion within days10:16 — Jason's theory: scarcity + survival instinct = violence, whether you're a human or a model14:29 — Grok Build launches as a coding agent — and Jason's read on why it exists15:31 — Waymo creates gridlock in Atlanta neighborhoods; Jason explains the V2X problem18:37 — Ferrari Luce: $640K, co-designed with Jony Ive, slower than a Tesla on Ludicrous mode20:32 — The Slate: a $20K bare-bones electric truck backed by Bezos that Jeremy actually wants
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with David J. Ebner, founder of Content Workshop, a brand storytelling agency that helps companies blend human creativity with AI-driven marketing systems. David brings a unique background as a classically trained storyteller with a master's degree in creative writing, and he explains how the fundamentals of narrative, character development, dialogue, and emotional connection directly translate into modern brand building.The conversation explores why AI-generated content is creating a “sea of sameness,” how brands lose trust when they waste people's attention, and why storytelling is becoming one of the strongest competitive advantages in an AI-powered world. David breaks down the difference between founder-led content and true brand storytelling, emphasizing that the hero of the story should always be the audience, not the company.Avetis and David also dive into AI adoption, human-in-the-loop workflows, SEO, AEO, GEO, AI Overviews, bot traffic, direct traffic, and how companies can adapt as search behavior rapidly changes. David shares practical ways leaders can protect quality, build brand authority, and use AI without automating mediocrity. The episode closes with thoughtful reflections on leadership, values, emotional connection, hospitality, and making “the lighter decision” when facing difficult choices.TakeawaysAI has made content creation easier, but it has also made most brand content sound generic, predictable, and forgettable.Strong brand storytelling is not about talking more about the company; it is about creating emotional connection and trust with the audience.Founder-led thought leadership works best when it helps the audience solve problems, not when it becomes self-promotional.Leaders should not automate processes with AI until they understand how to do them manually and know what quality looks like.Brand authority still matters in AI search, and backlinks, PR mentions, guest articles, and credible third-party references remain valuable.David's leadership advice is to choose “the lighter decision,” meaning the choice you are least likely to regret long term, even if it carries a cost.Chapters00:00 Why AI Content Is Creating a Sea of Sameness00:49 Introducing David J. Ebner and Content Workshop02:00 Classical Storytelling and Modern Brand Marketing05:04 Why the Founder Should Not Be the Hero14:32 Management vs. Leadership in AI Adoption16:25 The Missing ROI Conversation Around AI22:07 The Human-AI-Human Content Sandwich26:42 Direct Traffic, AI Tools, and Attribution Challenges30:50 SEO, GEO, AEO, and AIO Explained35:31 What Brand Authority Means Now37:41 Human UX vs. Bot UX40:29 Practical Steps to Improve AI Search Visibility42:26 What Happens to Brands That Fail to Adapt44:51 Why Storytelling Still Beats Data Alone47:23 David's Early Aha Moment in Medical Marketing52:06 Book Recommendation: Unreasonable Hospitality54:03 David's Billboard Message for Founders and Leaders56:01 Closing Thoughts and How to Connect with David56:58 Outro and Final ReflectionsDavid Ebner's Social Media Link:https://www.linkedin.com/in/davidjebner/David Ebner's Website Link:https://contentworkshop.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
In this episode of the Full Circl Podcast, Missy Strong shares her inspiring journey from translator to leading People Experience at Pigment, a rapidly scaling fintech company. She discusses the importance of curiosity, resilience, and human skills in career growth, especially in the context of AI and industry disruption.
La corsa all'intelligenza artificiale è entrata in una nuova fase: quella in cui non basta più “fare AI”.Ora serve capire se l'AI genera davvero ritorno economico oppure soltanto nuovo debito tecnico, costi nascosti e complessità ingestibile.In questa puntata di Pionieri del Tech, Alex Pagnoni incontra Giulio Roggero, co-founder di Mia-Platform, per analizzare cosa succede davvero quando gli agenti AI iniziano a scrivere codice, generare applicazioni e accelerare lo sviluppo software.Si parla di:* AI e Total Cost of Ownership* Debito tecnico accelerato* Spec-driven development* Prototipazione rapida* Governance dei token* Cognitive load* AI in ambienti enterprise regolamentati* Ruolo dello human in the loop* Futuro dello sviluppo software agenticoCapitoli00:00 Introduzione: la luna di miele con l'AI è finita01:42 ROI reale vs hype dell'intelligenza artificiale04:11 Fast prototyping e validazione rapida delle idee08:36 Perché la “vibe coding” non basta per andare in produzione12:08 AI, responsabilità e software autonomo14:35 I costi nascosti dell'AI nei progetti software20:11 Debito tecnico accelerato dagli agenti AI24:58 Carico cognitivo e nuovi rischi per i team tech31:40 Spec-driven development e digital twin degli sviluppatori38:22 AI, retention e futuro dei talenti tech44:15 Case study e sperimentazioni reali in Mia-Platform49:37 Come costruire una roadmap AI sostenibile55:20 AI FinOps, governance dei token e controllo dei costi59:48 Conclusioni finali
If you're trying to get ahead and you're the best at your job, then we have bad news for you. Today, we're talking to executive coach Bill Tingle. We discuss why being the best at your job is actually holding you back, how executive presence goes far deeper than confidence or gravitas, and why building the right relationships matters more than any result you'll ever deliver. All of this right here, right now, on the Modern CTO Podcast! To learn more about Bill's coaching, check out his website here.
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Mike Grossman, a six-time venture-backed CEO, longtime Silicon Valley operator, and author of Failure is an Option. With more than three decades of leadership experience inside high-growth technology companies, Mike offers a candid look at what startup life actually feels like behind the polished success stories.Rather than glamorizing entrepreneurship, Mike breaks down the emotional reality of leading companies through uncertainty, pressure, pivots, burnout, and unpredictable outcomes. He shares why resilience, grit, and emotional steadiness matter more than many founders realize, and why CEOs often feel isolated even when surrounded by teams, boards, investors, and customers.The conversation explores the myth of the “hero founder,” the uncomfortable role luck plays in business success, and why great teams can still fail when timing, regulation, or product-market fit work against them. Mike also shares lessons on moving fast without creating chaos, building scalable systems, recognizing when a founder becomes the bottleneck, and adapting leadership in an AI-first world.This is a refreshingly honest conversation for founders, CEOs, executives, and tech leaders who want a more grounded view of what it really takes to build, scale, and survive inside ambitious companies.TakeawaysStartup life is far less glamorous than people think. The highs are high, but the lows are intense, unpredictable, and emotionally draining.CEOs often hide fear, stress, and uncertainty from their teams, boards, and investors, which can make leadership deeply lonely.Success is not linear. Companies can recover after major setbacks, and companies that are winning can quickly hit unexpected adversity.Luck plays a much larger role in business outcomes than many founders want to admit, especially when timing, regulation, markets, or acquisitions shape the result.Scaling requires more process and systemization than many early-stage founders want to accept.Great leadership requires balancing speed with thoughtful decision-making, especially when the stakes are high.High-performing teams usually include sharp subject matter experts, strong collaborators, high-integrity people, and leaders who are comfortable confronting hard problems.AI is no longer optional for modern tech companies. Mike argues that new companies need to think AI-first across product, engineering, operations, and team structure.Chapters00:00 The Hidden Reality of Startup Leadership03:05 Why Resilience Matters More Than Glamour04:06 The Emotional Weight CEOs Carry07:24 Credit, Blame, and Staying Even-Keeled10:09 Why Startup Success Is Not Linear15:37 Success, Failure, and Perspective Across Six Companies22:24 When Moving Fast Becomes Dangerous25:15 How Leaders Know They Are Pointed in the Right Direction30:50 Reinventing Yourself as the Company Scales35:13 The Role of Luck in Business Success48:35 When the Founder Becomes the Bottleneck53:32 Separating Identity From Business Outcomes57:51 How AI Changes Company Building01:01:44 Favorite Books and Time Travel01:03:09 Mike's Final Advice for FoundersMike Grossman's Social Media Link:https://www.linkedin.com/in/migrossman/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
Paul and Evan pick up on a conversation about AI and regulation that makes an important but overlooked point: Tech leaders don't share the same values as the average American. Listen along to hear some ideas these two advisors have that would help protect the American public around AI content and why regulation may be more of a publicity boost for AI companies than a genuine safeguard for its users. Want to cut through the myths about retirement income and learn evidence-based strategies backed by over a century of data? Download our free Retirement Income Guide now at paulwinkler.com/relax and take the stress out of planning your retirement. This material is for general educational purposes only and is not personalized investment, financial, tax, or legal advice. Past performance does not guarantee future results. Nothing here is an offer, solicitation, or recommendation for any security or strategy. All financial decisions involve risk, and you should consult qualified professionals before acting on this information. Advisory services offered through Paul Winkler, Inc., an SEC-registered investment adviser.
Why are bankers, the AFL-CIO, and law enforcement unions all storming Capitol Hill at the same time? In this episode of the Bitcoin Policy Hour, Zack Cohen sits down with Zack Shapiro and Ken Egan to dissect the CLARITY Act markup, the BRCA developer protection carve-out, and the bizarre coalition trying to kill stablecoin yield. They explain why Tim Scott and the Senate Banking Republicans held the line and what 100+ amendments from Senator Cortez Masto really mean.
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this solo episode of The Tech Leader's Playbook, Avetis Antaplyan breaks down what he calls “The Great White Collar Compression”, the growing disconnect between a strong-looking economy and the pressure many white-collar professionals are feeling in real time.Avetis explores why corporate profits, AI investment, and stock market strength are not translating into the hiring booms many workers expected. Instead, companies are flattening teams, raising performance expectations, slowing hiring, and demanding more output from fewer people. Drawing from his perspective inside the hiring market, Avetis explains how AI, remote work abuse, salary inflation, and shifting leadership priorities are reshaping the future of work.He shares candid stories from conversations with CTOs, candidates, and professionals who feel uncertain about their roles despite working at successful companies. The episode also digs into the decline of the “comfortable middle,” the rise of hybrid roles, the need for AI fluency, and why adaptability may now be the most valuable career currency.This episode is a direct, practical warning and roadmap for leaders and professionals who want to stay relevant, valuable, and hard to replace.TakeawaysThe economy can look strong while white-collar workers still feel pressure.AI investment is increasing productivity without creating proportional hiring.Companies are flattening teams and cutting unnecessary management layers.Average performance is becoming more vulnerable in the modern workplace.Remote work abuse and inflated salaries contributed to employer distrust.Hiring is slower because companies now expect rare hybrid skill sets.Professionals need to get closer to revenue, customer impact, and business outcomes.AI fluency is no longer optional for most white-collar roles.Adaptability and learning velocity are becoming premium career skills.Building a reputation matters more than relying on a resume alone.The future belongs to builders, operators, and people willing to evolve quickly.Chapters00:00 Introduction to the Great White Collar Compression02:36 Why Traditional Hiring Growth Is Changing05:00 Fewer Layers, Higher Expectations, and AI Pressure07:20 Why Workers Feel Weak Despite a Strong Economy09:43 Hiring Freezes, Salary Pressure, and Market Uncertainty11:46 Efficiency, Profitability, and Leaner Operations12:49 The Death of the Comfortable Middle14:55 Why Hiring Feels Broken Right Now17:19 The Rise of Team-Elevating Talent20:03 Adaptability as the New Career Currency22:28 Getting Closer to Revenue and Business Outcomes24:50 Building Hybrid Skills and Becoming Indispensable27:13 Reputation, Network, and Proof of Work28:40 Final Thoughts on the Future of White-Collar WorkResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
A.M. Edition for May 13. As Tim Cook, Elon Musk and Jensen Huang arrive in China alongside President Trump, WSJ Beijing bureau chief Jon Cheng considers whether the U.S. could be posed to expand Chinese access to advanced American tech. Plus, U.S. household debt closes in on $19 trillion as student loan delinquencies rise. And WSJ's Ed Ballard explains how continued disruption to the Strait of Hormuz is sending trade overland, potentially changing trade routes permanently. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices
Washington state officials have released a complete list of daycare providers who received nearly $58 million in childcare facility grants after questions emerged over previously unnamed recipients. In this episode of Washington In Focus Daily, we examine the newly released childcare grant data, the growing debate over parental rights and school district compliance with House Bill 1296, and renewed concerns from business leaders surrounding Washington's income tax and economic climate.
In Top of the News Stack, Greg Belfrage goes over the latest news including Trump arriving in China, tech and business leaders in China, Trump's statement about Iran and the economy, the 2 million jobs lost in Iran, Kash Patel and Democrat Chris Van Hollen, Billy Bob Thornton and The View, and more...See omnystudio.com/listener for privacy information.
In News-O-Rama Greg Belfrage goes into the day's headlines in more detail including Trump at the Summit in China, Trump introducing tech and business leaders to China, Trump's feelings about the economy when it comes to Iran, Pentagon leakers being prosecuted, Billy Bob Thornton and politics, and more...See omnystudio.com/listener for privacy information.
Technovation with Peter High (CIO, CTO, CDO, CXO Interviews)
As AI reshapes enterprise operating models, the profile of the modern technology leader is changing just as quickly. In this special Technovation Summit May 2026 panel, Metis Strategy's Steven Norton sits down with executive search leaders Tarun Inuganti of Korn Ferry, Ryan Bulkoski of Heidrick & Struggles, and Mike Doonan of SPMB Executive Search to discuss how AI is redefining executive hiring, leadership expectations, and boardroom dynamics. The conversation explores why nonlinear career paths are becoming more valuable, how organizations are approaching Chief AI Officer roles, and why storytelling, influence, and change leadership are now essential executive capabilities. Key topics include: Why cross-industry experience is becoming a competitive advantage The rise of AI-fluent boards and executive teams How Chief AI Officer roles are evolving Why leadership influence now matters more than technical expertise alone What recruiters look for in next-generation CIOs and technology leaders
2025 CU Times Luminaries finalist Bryce Mortensen, who took the helm at Oregonians CU earlier this year, takes us inside his journey of moving to a new CU, his first CEO role and a new state all at once. Also, in honor of Mother's Day, Michael plays trivia with Natasha and Producer Zach centered on famous pop culture Moms. And to all Moms out there, Happy Mother's Day!
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this solo episode of The Tech Leader's Playbook, Avetis Antaplyan breaks down what he calls the “new leadership stack” and challenges leaders to ask a hard question: if you were dropped into a new company today, would you still get hired as a leader based on how you operate right now?Drawing from his experience as the founder of a global technology recruiting and consulting firm, Avetis explains why the leadership playbook that worked even two or three years ago is quickly becoming outdated. He explores how AI, automation, speed, and talent density are reshaping what it means to lead effectively in a fast-changing economy.The episode centers on four critical leadership skills: technical fluency, operational ruthlessness, decisiveness, and talent density. Avetis argues that leaders must deeply understand how work gets done, eliminate unnecessary processes, make faster decisions, and build teams around high performers who create leverage.With a direct and urgent tone, Avetis pushes leaders to stop maintaining outdated systems and start building organizations that move faster, simplify aggressively, and adapt before they get exposed by the market.TakeawaysLeaders need to understand how work actually gets done, not just manage from a high level.The old model of “more people equals more output” is being replaced by leaner, faster systems.Small companies should use speed as their biggest advantage instead of copying slow enterprise processes.AI is not replacing all humans, but it is exposing weak systems and average performance.Leaders must audit where work slows down, where bottlenecks exist, and what should be automated.Bad automation can make broken systems move faster, which creates bigger problems.Operational ruthlessness means cutting unnecessary meetings, approvals, tools, and processes.Time kills deals, so leaders should focus on shrinking turnaround time wherever possible.Decisiveness matters because being wrong is often cheaper than being slow.Every new hire should raise the talent density of the organization.A-players using AI can replace entire inefficient teams.Leaders should ask whether they would rehire their current team if they were rebuilding from scratch.Chapters00:00 The Leadership Game Has Changed01:03 Would You Still Get Hired as a Leader Today?02:26 Why Small Companies Must Move Faster04:49 Technical Fluency and Knowing How Work Gets Done06:10 Finding Bottlenecks and Broken Automation09:28 Operational Ruthlessness12:20 Shrinking Time and Speeding Up Decisions15:04 Decisiveness as a Leadership Advantage17:18 Talent Density and Hiring Better People20:55 Reality Check: Are You Actually Moving Faster?23:23 Closing Thoughts and OutroResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
Treasury teams are being asked to move quickly to digitalize, with AI only adding to the pace as the number of tools, use cases and ideas keeps expanding. The challenge for many NeuGroup members is figuring out where to start and what will actually make a difference. In this episode, Dan Morrison, Global Treasury Digital and Performance Manager at SLB, formerly Schlumberger, joins NeuGroup's Justin Jones to discuss how treasury teams can make AI useful without getting overwhelmed. For Mr. Morrison, the future of treasury starts with consolidating information in tools like SAP Central Finance, a system that consolidates financial data from multiple enterprise resource planning (ERP) systems into a single platform. From there, the focus shifts to how the data is used.Across SLB, teams have built dashboards in Microsoft's Power BI, often referred to internally as PBIs, to visualize cash positions, exposures and other key metrics. Some are highly effective, but they are not always consistent across regions. Part of his role is identifying what works, standardizing it and scaling it, so treasury teams are working from the same data and definitions.As more processes become automated, Mr. Morrison emphasizes the need for clear ownership. That includes using frameworks like RACI (responsible, accountable, consulted and informed) to define who owns data, who validates it and how issues are escalated. Structure becomes more important as AI is layered in. If the data is inconsistent or ownership is unclear, the tools will only amplify the problem.Listen to the full episode for Mr. Morrison's insights on how AI is reshaping treasury, where to focus now and how teams can keep pace.
Join us this week for The Tech Leaders' Podcast, where Gareth sits down with Jane Mustoe, Senior Technical Director and Head of Innovation Labs at Tesco. Jane talks about her love of transformative technologies, and how Tesco are actively applying them. On this episode, Jane and Gareth discuss drones, robotics, staff less stores, and how AI will augment, not replace humans. Timestamps: Introduction and the Credit Crunch (2:25) Tesco Innovation Labs: Magic Tills and Digital Assistants (17:58) Innovation Culture and Digital Twins (23:10) AI Applications: Robotics, Dynamic Pricing and Waste Reduction (30:53) AI Usage, Governance and Hiring (38:50) The Future of Tech, and Advice for 21-year-old Jane (47:45) https://www.bedigitaluk.com/
Jacob Ward of The Rip Current joins Mikah Sargent on Tech News Weekly! Jacob shares firsthand impressions from the Elon Musk v. OpenAI trial. Razr unveiled the latest iterations of its foldable phones. And Microsoft released the earliest known DOS source code to the public! Jacob just returned from covering the Elon Musk v. OpenAI trial in person! He shared his experience getting inside the courthouse to cover the trial and shares firsthand observations from the courtroom. Patrick Holland of CNET stops by to talk about the new Razr foldable phones, his first impressions with the devices, and laments the price hikes with the phones. And Mikah shares how Microsoft has released the earliest known DOS source code on GitHub - a collection of 870+ pages of dot matrix-printed assembler listings from the early 1980's! Hosts: Mikah Sargent and Jacob Ward Guest: Patrick Holland Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit rippling.com/twit framer.com/tnw scribe.how/tnw
Jacob Ward of The Rip Current joins Mikah Sargent on Tech News Weekly! Jacob shares firsthand impressions from the Elon Musk v. OpenAI trial. Razr unveiled the latest iterations of its foldable phones. And Microsoft released the earliest known DOS source code to the public! Jacob just returned from covering the Elon Musk v. OpenAI trial in person! He shared his experience getting inside the courthouse to cover the trial and shares firsthand observations from the courtroom. Patrick Holland of CNET stops by to talk about the new Razr foldable phones, his first impressions with the devices, and laments the price hikes with the phones. And Mikah shares how Microsoft has released the earliest known DOS source code on GitHub - a collection of 870+ pages of dot matrix-printed assembler listings from the early 1980's! Hosts: Mikah Sargent and Jacob Ward Guest: Patrick Holland Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit rippling.com/twit framer.com/tnw scribe.how/tnw
Jacob Ward of The Rip Current joins Mikah Sargent on Tech News Weekly! Jacob shares firsthand impressions from the Elon Musk v. OpenAI trial. Razr unveiled the latest iterations of its foldable phones. And Microsoft released the earliest known DOS source code to the public! Jacob just returned from covering the Elon Musk v. OpenAI trial in person! He shared his experience getting inside the courthouse to cover the trial and shares firsthand observations from the courtroom. Patrick Holland of CNET stops by to talk about the new Razr foldable phones, his first impressions with the devices, and laments the price hikes with the phones. And Mikah shares how Microsoft has released the earliest known DOS source code on GitHub - a collection of 870+ pages of dot matrix-printed assembler listings from the early 1980's! Hosts: Mikah Sargent and Jacob Ward Guest: Patrick Holland Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit rippling.com/twit framer.com/tnw scribe.how/tnw
Jacob Ward of The Rip Current joins Mikah Sargent on Tech News Weekly! Jacob shares firsthand impressions from the Elon Musk v. OpenAI trial. Razr unveiled the latest iterations of its foldable phones. And Microsoft released the earliest known DOS source code to the public! Jacob just returned from covering the Elon Musk v. OpenAI trial in person! He shared his experience getting inside the courthouse to cover the trial and shares firsthand observations from the courtroom. Patrick Holland of CNET stops by to talk about the new Razr foldable phones, his first impressions with the devices, and laments the price hikes with the phones. And Mikah shares how Microsoft has released the earliest known DOS source code on GitHub - a collection of 870+ pages of dot matrix-printed assembler listings from the early 1980's! Hosts: Mikah Sargent and Jacob Ward Guest: Patrick Holland Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: outsystems.com/twit rippling.com/twit framer.com/tnw scribe.how/tnw
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Laurie Maddalena, a leadership consultant, keynote speaker, author, and former HR executive who helps organizations build healthier, higher-performing cultures. Laurie brings a practical and deeply experienced perspective on what modern leadership actually requires, especially in a workplace shaped by rapid change, five generations, shifting employee expectations, and increasing pressure on leaders to do more than simply manage tasks.The conversation explores why leaders must move from fixing problems to facilitating better thinking, how open-door policies can accidentally turn executives into bottlenecks, and why technical excellence does not automatically translate into leadership effectiveness. Laurie also breaks down the danger of artificial harmony, the importance of constructive conflict, and the leadership habits that create psychological safety without sacrificing accountability.Throughout the episode, Laurie shares powerful stories from her own leadership journey, including the feedback that forced her to stop operating like an HR generalist and start thinking strategically as a leader. She also unpacks her “six leadership saboteurs,” explains why busyness is often mistaken for accomplishment, and makes the bold case that not everyone is meant to lead people. The episode is direct, practical, and highly relevant for founders, executives, and emerging leaders who want to build stronger teams without becoming the bottleneck.TakeawaysLeaders need to stop being the default problem-solver and start coaching their teams to think, decide, and take ownership.Technical excellence gets many people promoted, but leadership requires a completely different skillset: delegation, coaching, emotional intelligence, and strategic focus.High performers need attention too. Leaders often spend too much energy on struggling employees while neglecting the people who drive the most value.Delegation only works when leaders stop dumping tasks and instead define success criteria, expectations, and ownership.Busyness is not the same as accomplishment. Leaders need to protect time for the work that actually moves the business forward.Not everyone is meant to lead people, and companies should create strong growth paths for individual contributors who do not want management roles.Chapters00:00 Why Modern Leadership Requires More Than Busyness01:13 Meet Laurie Maddalena01:42 From Fixing Problems to Facilitating Better Thinking04:46 Why the Open-Door Policy Can Hurt Effectiveness08:20 Technical Excellence Versus Real Leadership Ability12:07 The Danger of Artificial Harmony15:12 How Leaders Can Invite Constructive Conflict18:27 The Six Leadership Saboteurs21:30 Why the Workplace Feels More Transactional Today26:59 Why High Performers Need More Attention29:47 Creating Clarity Around High-Value Work32:22 Why Appeasement Is Not Kindness37:19 Empathy Versus Ruinous Empathy39:42 Coaching Employees Who Avoid Accountability44:22 Leadership Structures Needed for Scale46:00 Why Leaders Struggle to Delegate50:12 Lori's Biggest Leadership Aha Moments53:07 Why Not Everyone Is Meant to Be a Leader57:48 Lori's Best Leadership Advice58:18 Final Reflections and ClosingLaurie Maddalena's Social Media Link:https://www.linkedin.com/in/lauriemaddalena/Laurie Maddalena's Website Link:https://www.lauriemaddalena.com/The Six Leadership Saboteurs AssessmentBreak Through What's Holding You Back from Exceptional Leadership:https://www.lauriemaddalena.com/six-leadership-saboteursResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Chaitra Vedullapalli, President of Women in Cloud and a global go-to-market strategist who has driven billions in economic impact. Chaitra shares her mission to democratize economic access in an AI driven world, highlighting the reality that while information is abundant, true opportunity remains scarce and unevenly distributed.The conversation dives into her framework for creating economic pathways through careers, entrepreneurship, and leadership, each requiring distinct strategies and operating systems. Chaitra explains how AI is reshaping the value chain by shifting focus from role based work to workflow orchestration, and why leaders must rethink how they position themselves to stay relevant.She introduces the concept of iconic leadership, where success is measured by the ability to create access and multiply opportunities for others. The discussion also covers systemic barriers, especially for women founders, and why infrastructure investments in AI represent one of the biggest long term opportunities.This episode delivers a practical breakdown of leadership, access, and scalable growth in the evolving AI economy.TakeawaysAccess to economic opportunity, not just information, is the real advantage in today's economyConfidence is built through exposure and execution, not personalityThe three pathways are career, founder, and leadership, and each requires a different approachAI is shifting value from role based work to workflow based thinkingLeaders must move from doing to orchestrating and from knowing to decidingIconic leaders create systems that allow others to succeed at scaleIndecision, indifference, and insecurity are the biggest leadership blockersGrowth comes from an investment mindset, not a what's in it for me mindsetCo launch strategies allow companies to scale trust and distribution fasterInfrastructure such as compute, energy, and data is where long term wealth is builtMost people fail because they do not know how to create access for othersSuccess in AI depends on where you sit in the value chain, not just what tools you useChapters00:00 The Access Problem in Today's Economy00:36 Introducing Chaitra Vedullapalli01:22 Origin Story and Early Inspiration03:36 Confidence, Access, and Global Inequality08:57 Why One Path Doesn't Fit All13:19 AI's Impact on Opportunity Distribution19:11 Barriers for Women in Tech and Funding23:39 What Defines an Iconic Leader25:07 Leadership in the Age of AI28:05 The Three Leadership “Diseases”37:12 The Power of Creating Access42:11 Co-Launch Go-To-Market Strategy49:45 Creating vs Competing in Markets50:49 Why AI Infrastructure Wins Long-Term52:12 Signals for Future Investment Opportunities53:50 Books and Influences56:42 Final Advice for Leaders in AIChaitra Vedullapalli's Social Media Link:https://www.linkedin.com/in/chaitrav/https://www.instagram.com/chaivedulla/Chaitra Vedullapalli's Website Link:https://chaitravedullapalli.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
Most leaders are experimenting with AI…But very few are turning it into real revenue.
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan delivers a solo recap of the last five conversations on the show, connecting themes across AI, category creation, biotech, enterprise technology, and leadership psychology into one bigger narrative. Drawing on insights from guests including Dr. Craig Kaplan, Kevin Maney, Pranav Lal, and Alok Tayi from Vibe Bio, Avetis explores what it takes to build durable companies in a time of rapid technological change. He explains why AI is evolving from a simple productivity tool into an active collaborator, why great companies do not just chase product-market fit but redefine markets altogether, and why weak systems become even more exposed as technology accelerates. He also reflects on the power of mission-driven companies, sharing the compelling example of parents driven to solve rare disease challenges, and makes the case that culture, appreciation, and human connection remain essential competitive advantages. Throughout the episode, Avetis argues that while technology may be moving faster than ever, leadership, judgment, architecture, and mission still determine who wins. It is a thoughtful and practical synthesis for leaders trying to think clearly, build wisely, and lead well in an AI-shaped future.TakeawaysAI is shifting from a passive software tool to a more active collaborator that can support decisions and workflows.Speed without clarity creates expensive mistakes, especially when AI is introduced into critical workflows.Category-defining companies win by reshaping demand, not just by building slightly better products in existing markets.Founders should pay close attention to shifts in technology, consumer behavior, economics, regulation, and expectations to spot new opportunities.AI can accelerate execution, but it cannot fix poor architecture, messy data, or weak thinking.Scale does not only come from breadth; it can also come from going deep into a problem that truly matters.Strong cultures are built when appreciation flows in every direction, not just from the top down.The companies that win in the future will not just move faster with AI, they will think better, build better, and lead better.Chapters00:00 Intro and the Big Idea Behind the Last Five Episodes01:10 Technology Is Accelerating, but Fundamentals Still Win02:16 AI as a Collaborator, Not Just a Tool04:28 Why Great Companies Shape Demand and Create Categories06:54 Product-Market Fit vs. Building a New Market08:03 AI Amplifies Strong Foundations and Exposes Weak Ones09:12 Why Enterprise Readiness Still Depends on Architecture and Trust10:01 Mission-Driven Innovation and the Rare Disease Story11:34 Why Meaningful Problems Create Deeper Commitment12:12 People Still Matter More Than Systems13:00 Recognition vs. Appreciation in Leadership14:40 Building Cultures Where People Feel Valued16:17 The Big Lessons Across All Five Conversations17:10 Why the Future Belongs to Leaders Who Think Clearly18:20 Outro and Final Leadership ChallengeResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Dr. Paul White, a researcher, leadership advisor, and co-author of The 5 Languages of Appreciation in the Workplace. Dr. White shares his unique journey into the world of employee engagement and appreciation, detailing how his background in psychology and family business consulting led him to explore the importance of appreciation in workplace culture.The episode delves into why traditional employee recognition programs, though valuable, often miss the mark for the majority of employees. Dr. White explains how appreciation, as a more personal and authentic form of acknowledgment, directly influences employee satisfaction, retention, and performance. He outlines the five languages of appreciation—words of affirmation, quality time, acts of service, tangible gifts, and physical touch—and how understanding these can transform team dynamics, especially in remote and hybrid work environments. Dr. White emphasizes the need for leaders to show genuine appreciation, not just at the top-down level, but across all organizational layers, fostering a more cohesive and motivated workforce.TakeawaysAppreciation is a more powerful motivator than financial incentives in the workplace.Employee recognition programs typically only engage the top 10-15% of employees, leaving a large middle group feeling undervalued.A lack of appreciation is one of the top reasons employees voluntarily leave their jobs.The five languages of appreciation are: words of affirmation, quality time, acts of service, tangible gifts, and physical touch.Words of affirmation must be specific, personal, and meaningful to be effective; “Good job” is often too generic.Acts of service show genuine care, such as helping with tasks to reduce stress during busy periods.Tangible gifts should reflect personal knowledge of the individual's preferences and do not need to be expensive.Physical touch, while culturally variable, can include gestures like handshakes or high fives to celebrate accomplishments.For remote teams, informal gatherings or regular check-ins can simulate the camaraderie of in-person interactions.Chapters00:00 Introduction & Guest Introduction02:00 Dr. Paul White's Journey Into Workplace Appreciation06:00 The Difference Between Recognition and Appreciation08:00 The Five Languages of Appreciation16:00 The Impact of Appreciation in Remote and Hybrid Environments20:00 Overcoming the Challenges of Appreciating Diverse Personalities24:00 Implementing Appreciation Programs at Work30:00 The Role of Appreciation in Performance and Accountability35:00 Practical Advice for Leaders: Start Small39:00 Closing Thoughts & ResourcesDr. Paul White's Social Media Link:https://www.linkedin.com/in/paul-white-ph-d-3178276/Dr. Paul White's Website Link:https://drpaulwhite.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
AI isn't just a technology race, it's a trillion-dollar gamble that could reshape the global economy. On the Tech Field Day News Rundown, Alastair Cooke and guest host Gina Rosenthal discuss how OpenAI and Anthropic are pushing toward major IPOs while facing massive costs that could delay profitability for years. At the same time, IBM and Arm are helping enterprises adopt AI across mixed systems without replacing existing infrastructure, while Maine considers slowing new data center builds over energy concerns. Komprise is working to reduce rising storage costs, and Amazon is looking to expand its satellite network with a potential acquisition of Globalstar to better compete with SpaceX. Meanwhile, Microsoft is improving developer workflows with Project Nighthawk, and in Washington, Donald Trump has tapped leaders like Mark Zuckerberg, Jensen Huang, Larry Ellison, and Sergey Brin to help guide AI policy, showing that the future of AI will be decided not just by innovation, but by who can manage the cost, infrastructure, and regulation behind it.In the end, the winners of the AI race won't just be the most innovative—but the ones who can afford to sustain it at scale.Time Stamps: 0:00 - Cold Open0:27 - Welcome to the Tech Field Day News Rundown1:04 - The $100 Billion Gamble: OpenAI & Anthropic's High-Stakes Path to IPO4:57 - IBM & Arm Team Up to Unlock Hybrid Enterprise AI Architecture9:02 - Maine Considers Nation's First AI Data Center Freeze13:56 - Komprise Launches Flash Memory Tool to Cut AI Storage Costs17:06 - Amazon Eyes $9B Globalstar Deal to Boost Satellite Network Ambitions20:08 - Microsoft Builds Six-Agent AI in VS Code That Fact-Checks Itself24:57 - President Trump appoints Tech Leaders to the Council of Advisors on Science and Technology32:39 - The Weeks Ahead: Upcoming Tech Field Day Events33:40 - Thanks for Watching the Tech Field Day News RundownGuest Host: Gina Rosenthal, Digital Sunshine SolutionsFollow our hosts Tom Hollingsworth, Alastair Cooke, and Stephen Foskett. Follow Tech Field Day on LinkedIn, on X/Twitter, on Bluesky, and on Mastodon.
Technology leaders influence the future by driving innovation through adopting new technologies and fostering experimentation. They impact workplace culture by addressing compensation and promoting meaningful work, which enhances engagement and performance. Leaders also focus on developing the talent pipeline by supporting diverse groups, including students and underrepresented communities, through scholarships, mentorships, and internships.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan tackles one of the most common narratives in today's hiring market and argues that most people are blaming the wrong thing. In this solo episode, Avetis breaks down why AI is not the primary driver of today's rough employment landscape and explains that the real issue is a combination of overhiring, cheap capital disappearing, bloated org structures, weak hiring discipline, and a market correction that many companies are rebranding as innovation. He shares a sharp perspective on why some businesses use AI as a convenient excuse for layoffs, why average talent is getting squeezed out, and why top operators, strong engineers, revenue generators, and hands-on leaders are still in high demand.Avetis also explores where AI is genuinely changing work, especially in compressing junior roles, increasing output per employee, and exposing weak or low-impact performers. Along the way, he offers direct advice for both companies and candidates: hire fewer but better people, define what great actually looks like, focus on proof of output over titles, and stop confusing activity with value. It's a candid, high-conviction episode about discipline, clarity, and what the future of talent really looks like.TakeawaysAI is affecting hiring, but Avetis argues it is not the main cause of the current job market pain.The real macro drivers include expensive capital, slower growth, post-COVID overhiring, and global instability.Companies are shifting from growth mode to survival mode, which naturally leads to slower hiring and leaner teams.Bloated org charts with too many management layers are especially vulnerable in the current market.AI is most likely to compress repetitive, junior-level, and assistant-type work before it replaces elite talent.Top performers are still highly valuable, especially engineers, operators, salespeople, and leaders tied directly to outcomes.Hands-on leaders who can execute, not just manage, are safer than people whose value is mostly title-based.Relationships, deep market expertise, and the ability to create measurable value remain hard to replace.Candidates need proof of output, not just polished resumes or inflated claims.The market has not disappeared - standards have risen, and tolerance for mediocrity has dropped.Chapters00:00 Intro - Why AI is getting too much blame01:00 The real story behind today's weak job market02:17 Why companies use AI as a convenient excuse for layoffs03:20 Expensive capital and survival mode change hiring behavior04:34 Overhiring, bloated teams, and forced discipline06:00 Global instability and why executives are acting cautiously06:59 Where AI actually matters in the workforce08:10 Smaller teams, higher output, and pressure on junior roles09:18 Why top talent and hands-on leaders are still safe11:32 How AI exposes weak talent instead of replacing great talent12:45 The split market - top performers win, average talent gets crushed15:00 Who is struggling most in this market16:13 Why rigidity, titles, and average performance are liabilities17:20 Dangerous lies companies tell themselves about AI efficiency18:00 What companies should do differently right now19:45 Why applicant volume does not equal candidate quality20:45 What candidates need to do to stand out22:00 Avetis' future outlook on hiring and smaller teams22:50 Companies do not have a talent problem - they have a clarity problem24:10 Final thoughts - discipline, correction, and the end of mediocrity25:05 Outro and closing messageResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
Hugo Castro, author of the Accidental Techie newsletter on Linkedin, and Gozi Egbuonu, accidental and now intentional tech leader, lead you through a discussion on the transformation from firefighter to strategic advisor.In pt 1 they discuss the role of the "accidental techie" in nonprofit organizations and explore three bridges to transform your career: Skills, Relationships, and Projects. In pt 2 they finish up the fourth bridge: Communications, and take questions from the webinar audience.If you never applied to a tech job, but somehow you are the person everyone turns to for tech help and assistance at your nonprofit, you may be the accidental techie of your office. Learn how to transform your valuable experience as a problem-solver into a professional career as a nonprofit tech leader from two people who have lived it.Hugo and Gozi share what separates reactive problem-solvers from strategic technology leaders, and give you practical frameworks for repositioning yourself professionally. You'll discover how to communicate your value differently, build the right relationships, and choose projects that showcase your strategic thinking. Learning outcomesBuild a transformation roadmap using four pillars: skills, relationships, projects, communicationIdentify your position on the accidental-to-intentional spectrum and key mindset shifts neededReframe how you communicate your work to position yourselves as strategic advisors, not tech fixers-for-free. _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening.
3. Josh Rogin reports on the Hill and Valley Forum, where Silicon Valley tech leaders and Washington officials discuss defense modernization. They address bureaucratic hurdles and China's manufacturing lead in critical technologies. (3)1957
Hugo Castro, author of the Accidental Techie newsletter on Linkedin, and Gozi Egbuonu, accidental and now intentional tech leader, lead you through a discussion on the transformation from firefighter to strategic advisor.In pt 1 they discuss the role of the "accidental techie" in nonprofit organizations and explore three bridges to transform your career: Skills, Relationships, and Projects. In pt 2 they finish up the fourth bridge: Communications, and take questions from the webinar audience.If you never applied to a tech job, but somehow you are the person everyone turns to for tech help and assistance at your nonprofit, you may be the accidental techie of your office. Learn how to transform your valuable experience as a problem-solver into a professional career as a nonprofit tech leader from two people who have lived it.Hugo and Gozi share what separates reactive problem-solvers from strategic technology leaders, and give you practical frameworks for repositioning yourself professionally. You'll discover how to communicate your value differently, build the right relationships, and choose projects that showcase your strategic thinking. Learning outcomesBuild a transformation roadmap using four pillars: skills, relationships, projects, communicationIdentify your position on the accidental-to-intentional spectrum and key mindset shifts neededReframe how you communicate your work to position yourselves as strategic advisors, not tech fixers-for-free. _______________________________Start a conversation :)Register to attend a webinar in real time, and find all past transcripts at https://communityit.com/webinars/email Carolyn at cwoodard@communityit.comon LinkedIn on reddit/r/nonprofitITmanagementon the Community IT websiteThanks for listening.
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Dr. Craig Kaplan, an AI pioneer, founder of IQ Company, and a four-decade veteran in artificial intelligence and collective intelligence systems, for a wide-ranging conversation on where AI is actually headed and why most people are still underestimating what is coming. Dr. Kaplan traces the history of AI from its roots in symbolic reasoning and machine learning to today's agentic systems, explaining why the shift from AI as a tool to AI as a worker is such a major turning point. He shares lessons from building PredictWallStreet, a collective intelligence platform that used signals from millions of retail investors to power a top-ranked hedge fund, and uses that story to argue that communities of agents may become more powerful than any single model. The discussion also dives into jobs, entrepreneurship, AI-driven productivity, superintelligence, and the growing risk of building powerful black-box systems without enough transparency or alignment. Perhaps most compellingly, Dr. Kaplan makes the case that the future of AI safety is not only in the hands of researchers, but in the behavior, values, and data humans feed these systems every day.TakeawaysAI did not appear overnight. Its formal roots go back to the 1956 Dartmouth conference, with major eras including symbolic AI, machine learning, and now agentic AI.The biggest shift now is from AI as a tool to AI as a worker that can use tools and take action on a user's behalf.In collective systems, even “bad” or inaccurate inputs can become valuable if they are consistent and can be weighted, filtered, or inverted intelligently.Entry-level cognitive work is already under pressure, while top performers and people with rare, non-commoditized knowledge still hold an edge, at least for now.AI safety becomes urgent because today's systems are often black boxes, making them powerful but hard to predict, govern, or reliably align with human values.Dr. Kaplan believes safer AI will come from more transparent, democratic, collective-intelligence-style architectures rather than monolithic black-box systems.Chapters00:00 Intro and why AI should be thought of as a worker, not just a tool01:29 Dr. Craig Kaplan's early path into AI and the field's history03:26 What people miss about the decades of groundwork behind today's AI boom05:05 The signals that show AI is entering a new phase07:02 Why agentic AI is so powerful for entrepreneurs and small teams08:24 The origin story behind PredictWallStreet and collective intelligence12:42 How crowd wisdom works, and how noise can still produce signal16:09 The long-term trajectory from narrow AI to AGI to superintelligence19:13 Why communities of agents may outperform any single model22:09 Jobs, competition, and what happens to human work as AI improves29:21 Why only exceptional human expertise may remain defensible34:00 Did humanity create the conditions for AI to replace so much labor?40:49 Why trade jobs may be safer in the short term than white-collar roles42:30 AI safety, existential risk, and why black-box systems are dangerous47:13 A safer alternative: transparent, democratic, collective AI systems50:33 What ordinary people and business leaders can do right now54:29 The book and core idea that shaped Dr. Kaplan's thinking on reason and values57:12 Final message: if AI is our child, we need to teach it well58:50 Closing thoughts and outroCraig Kaplan's Social Media Link:https://www.linkedin.com/in/craigakaplan/Craig Kaplan's Website Link:https://www.iqco.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
Web and Mobile App Development (Language Agnostic, and Based on Real-life experience!)
In this insightful interview, Shayna Davis, CEO of Executive Signals, shares expert advice on how tech leaders can enhance their external communication, build trust, and establish credibility in a competitive landscape. Discover practical strategies for leadership branding, content creation, and navigating reputation management to drive business success. In today's rapidly evolving tech landscape, leadership is no longer confined to building great products or managing internal teams. As highlighted in the conversation with Shayna Davis, tech leaders are increasingly expected to step outside their organizations and represent their companies to a broader audience. This shift has exposed a critical “competency gap” — the difference between technical expertise and the ability to communicate effectively with external stakeholders.
Join us this week for The Tech Leaders' Podcast, where Gareth sits down with Cathy Mauzaize, President of EMEA at ServiceNow. Cathy talks about her journey to ServiceNow via some of the biggest tech companies in the world, unpicking the hype and reality around AI Agents, and why the Middle East is embracing modern tech faster that Europe.On this episode Rob and Gareth discuss how companies survive in a modern, global economy, how AI will impact human learning, and a nugget of advice from Microsoft CEO, Satya Nadella.Timestamps:Introduction and early days (2:07)Legacy Tech and the Middle East (13:00)Priorities for Enterprise (21:55)AI Agents: Hype and Reality (25:48)AI and Human Learning (32:05)Commercial Impacts of AI (38:00)ITAM and AI Agents (45:43)Advice for 21-year-old Cathy (49:20)https://www.bedigitaluk.com/
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Kevin Maney, veteran journalist, bestselling author, and co-author of Play Bigger and The Category Creation Formula, to challenge one of startup culture's most repeated ideas: product-market fit. Kevin argues that the biggest opportunities do not come from squeezing a product into an existing market, but from identifying what is missing in a changing world and building around that gap.Drawing on nearly four decades covering the tech industry, Kevin shares why founders should think in terms of “market-product fit” instead, and explains how great companies condition the market before they ever win it. He breaks down his framework of context plus missing plus innovation, using examples like Apple's iPad, Chrysler's minivan, LinkedIn's sales transformation, Uber's early rule-setting, and the rise of AI.The conversation also explores how investors should evaluate startups, why dominant design matters more than first-mover advantage, and how founders can avoid building short-lived AI wrappers that solve no meaningful problem. This episode is a sharp, strategic discussion on innovation, category creation, and how to build something the market actually needs.TakeawaysProduct-market fit is often misunderstood; Kevin argues founders should prioritize market-product fit instead.A strong market matters more than a great product or even a great team.Founders should not fall in love with their solution; they should fall in love with the problem.Steve Jobs introduced the iPad by first explaining the missing space between phones and laptops.Apple's Vision Pro struggled because it was presented as a product with features, not as a solution to a clearly defined problem.Kevin's category creation formula is: context plus missing plus innovation equals a new category.The best startup opportunities appear when major context shifts happen, such as AI, supply chain disruption, or changing buyer behavior.Winning a category is not just about being first; it is about becoming the dominant design.Uber succeeded in part because it helped define how ride-hailing should work in people's minds.AI founders will stand out only if they solve a real, meaningful problem, not if they simply add an AI label to a weak product.Chapters00:00 Intro to Kevin Maney and the case for category creation01:07 Kevin's background as a journalist and co-author of Play Bigger02:45 Why product-market fit is often misunderstood05:12 What it means to condition the market08:30 What happens when founders build product first and force the market09:27 Apple Vision Pro and the risk of unclear problem-solving10:18 Why founders should love the problem, not the solution15:42 Chrysler and the minivan as a classic category creation story19:19 How founders should analyze context and market signals today23:07 LinkedIn's “Deep Sales” repositioning and product reinvention26:06 Why spotting what's missing raises the odds of success30:44 AI, foundational technologies, and possible commoditization32:36 How founders can tell if they are building something real in AI38:07 What investors should actually listen for in startup pitches41:11 How top investors may co-create category-defining companies42:52 How founders should frame their pitch around the problem first47:59 Kevin's personal aha moment behind category thinking51:02 Final thoughts, book recommendation, and where to find KevinKevin Maney's Social Media Links:https://www.linkedin.com/in/kevinmaney/https://x.com/kmaneyKevin Maney's Website Link:https://kevinmaney.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Alok Tayi, a Harvard-trained scientist, repeat tech founder, and the founder of Vibe Bio. Alok shares his journey from academia and engineering into entrepreneurship, where he built multiple pharmaceutical software companies collectively worth nearly $1 billion before launching Vibe Bio with a deeply personal mission. After his daughter was born with two rare diseases that had no available treatments, Alok turned his attention to one of biotech's most overlooked challenges: accelerating innovation for rare disease patients.The conversation explores how AI is changing drug discovery, why rare disease innovation has historically been underfunded, and how new tools, data, and regulatory pathways are creating fresh opportunities for founders and investors alike. Alok explains how Vibe Bio uses proprietary AI to evaluate drug programs, support pharma decision-making, and guide venture investments into high-potential therapeutics. He also shares hard-won lessons on leadership, mission-driven company building, culture, and the importance of staying obsessed with the problem while remaining flexible on tactics. This episode is a thoughtful look at the intersection of science, entrepreneurship, capital, and meaningful impact.TakeawaysIntro to Alok Tayi and the mission behind Vibe BioFrom scientist to serial founder in life sciences softwareHow Alok's daughter's diagnosis changed his life and careerLeadership lessons from scaling companies at different stagesWhat Vibe Bio actually does and how its AI worksWhy biotech and pharma are harder than most founders expectBalancing regulation, speed, and commercial realityWhy rare disease communities have been historically overlookedWhy rare disease innovation may become more viable nowWhy non-scientists can still play a major role in biotechCapital efficiency, biotech cycles, and the real funding questionWhy AI is an accelerant for biotech, not a replacementThe rise of parent-led and unconventional biotech foundersVibe Bio's AI platform versus its venture fundPlatform companies vs. individual therapy companiesHow AI-driven evaluation changes therapeutic investingAlok's biggest business and culture lessons as a founderBooks that shaped Alok's thinkingFinal advice on building with both impact and economic successChapters00:00 Intro to Alok Tayi and the mission behind Vibe Bio01:09 From scientist to serial founder in life sciences software03:16 How Alok's daughter's diagnosis changed his life and career04:28 Leadership lessons from scaling companies at different stages06:48 What Vibe Bio actually does and how its AI works10:37 Why biotech and pharma are harder than most founders expect13:51 Balancing regulation, speed, and commercial reality15:54 Why rare disease communities have been historically overlooked17:38 Why rare disease innovation may become more viable now19:25 Why non-scientists can still play a major role in biotech22:04 Capital efficiency, biotech cycles, and the real funding question24:33 Why AI is an accelerant for biotech, not a replacement26:57 The rise of parent-led and unconventional biotech founders29:50 Vibe Bio's AI platform versus its venture fund33:43 Platform companies vs. individual therapy companies37:12 How AI-driven evaluation changes therapeutic investing39:48 Alok's biggest business and culture lessons as a founder43:15 Books that shaped Alok's thinking46:22 Final advice on building with both impact and economic success48:29 Where to find Alok and Vibe BioAlok Tayi's Social Media Links:https://www.linkedin.com/in/aloktayi/https://x.com/aloktayiResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Pranav Lal, Head of Business Technology at Gusto and former Enterprise Systems Leader at Slack, Eventbrite, Ethos, and OneTrust, to unpack what it really takes to build enterprise-grade systems inside hyper growth companies.Drawing from three pre-IPO to IPO journeys, Pranav shares hard-earned lessons about scaling from 500 to 5,000+ employees, why lead-to-cash is a company's “financial nervous system,” and how IPO readiness shifts the focus from shiny tools to provable controls and governance.The conversation dives deep into the reality behind AI hype — why AI can 10x velocity but cannot fix broken architecture, why SaaS isn't dead (but static SaaS is), and why giving AI agents “god mode” access is a dangerous mistake. Pranav also explores the evolving role of middle management, the shift toward outcome-based SaaS pricing, and how leaders must balance speed with architectural integrity.With insights on radical candor, trust-building after failed transformations, and how to protect team energy in high-pressure environments, this episode delivers a masterclass in modern technical leadership — where judgment, clarity, and guardrails matter more than ever.TakeawaysYou cannot outsource thinking. If you do, you inherit the mess.Scaling from 500 to 5,000 employees shifts from speed-driven execution to governance and ownership clarity.Lead-to-cash is the company's financial nervous system. Errors create revenue leakage and audit risk.IPO readiness is about provable controls, not new tools.Moving from MVP to enterprise-grade means building trust under stress, including uptime, recovery, and auditability.AI increases velocity, but without guardrails it creates chaos.AI cannot repair weak architecture or poor technical fundamentals.SaaS is evolving, not disappearing. Static SaaS is being replaced by dynamic and agent-driven systems.Clear communication is now a critical engineering skill.Middle managers must evolve into hands-on architects and AI orchestrators.Trust is rebuilt through consistency and quick wins.Strong leaders reduce ambiguity, protect team energy, and simplify complexity.Chapters00:00 Intro and Core Thesis01:00 Pranav's Background and IPO Experience01:28 Scaling from 500 to 5,000 Employees03:14 Why Lead-to-Cash Matters04:31 IPO Readiness and Compliance06:05 MVP Versus Enterprise-Grade Systems08:10 AI Hype Versus Reality12:07 Rebuilding Trust After Failed Transformations13:50 The Risk of Outsourcing Thinking17:44 Technical Skill Is Not Enough20:07 The Shift in Engineering Identity24:17 Is SaaS Dead25:46 The Future of SaaS Pricing26:57 The Danger of AI With Full Access28:34 Advice for Engineers in the AI Era36:06 Balancing Speed With Architecture41:16 Hiring for Ownership and Judgment43:15 Radical Candor and Leadership Growth46:35 The Billboard Advice47:02 Final Leadership PrinciplesPranav Lal's Social Media Link:https://www.linkedin.com/in/pranavl/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan and Daria Rudnik discuss the transformative impact of AI on leadership and team dynamics. They explore how AI is reshaping workflows, the importance of building trust and acceptance among team members, and the need for transparency in AI implementation. The conversation dives into the challenges of navigating AI anxiety and resistance, the significance of effective governance, and how leaders can prepare for a future where AI functions as a team member. Daria emphasizes the importance of clarity in communication and the need for ongoing conversations about AI's role in organizations.TakeawaysAI is reshaping how leaders think and define human value.Building self-sufficient teams is crucial in the age of AI.Trust between team members and management is essential for AI acceptance.Transparency about AI's role can alleviate fears.AI should be seen as a collaborator, not a replacement.Ongoing conversations about AI's impact are necessary.Effective governance is key to responsible AI implementation.Leaders must prepare for AI as a team member.Clarity in communication is vital for successful AI integration.AI is not just a tech shift; it's a shift in collaboration.Chapters00:00 The Impact of AI on Leadership and Teams05:06 Understanding AI's Role in Team Dynamics09:56 Building Trust and Acceptance of AI15:04 Navigating AI Anxiety and Resistance19:59 The Importance of Transparency in AI Implementation25:01 Creating Effective AI Governance29:59 Preparing for AI as a Team Member35:05 The Future of Leadership in an AI-Driven WorldDaria Rudnik's Social Media Link:https://www.linkedin.com/in/dariarudnik/Daria Rudnik's Website Link:https://dariarudnik.com/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan delivers a powerful solo deep-dive into one of the most misunderstood concepts in modern leadership: servant leadership. Drawing from personal experience, organizational patterns, and hard-earned lessons, Avetis breaks down why servant leadership is not softness, appeasement, or conflict avoidance. Instead, he argues, real servant leadership demands courage, accountability, and an unwavering commitment to helping people reach excellence even when it requires uncomfortable conversations.Throughout the episode, Avetis contrasts servant leadership with authoritative leadership, clarifying why authority is not about ego or control but about clarity, ownership, and decision-making. He explains how appeasement quietly erodes standards, frustrates high performers, and ultimately harms the very people leaders believe they're protecting. Using relatable examples from workplace dynamics to parenting to team performance he illustrates how delayed feedback, avoided conflict, and diluted expectations damage careers and undermine culture.Listeners will walk away with a clearer understanding of what true service looks like in leadership, how to course-correct if they've fallen into appeasement, and the self-reflective questions every leader should be asking. A must-listen for anyone serious about leading with honesty, courage, and long-term impact.TakeawaysServant leadership is not softness it requires courage, standards, and accountability.Appeasement disguises itself as kindness but ultimately weakens teams and leaders.Great leaders challenge people directly because they care, not despite it.Avoiding tough conversations delays the truth and harms long-term performance.Accountability is a form of respect; letting people off the hook is not.Authority is not about control it equals clarity, ownership, and decisive action.High performers become frustrated when leaders tolerate underperformance in others.Appeasement normalizes mediocrity and lowers the performance bar for the entire team.Early, honest feedback prevents skill gaps from widening into career-limiting issues.Leaders must choose between being liked and being trusted the two are not the same.Resetting a culture requires public acknowledgment, clear standards, and consistent feedback.True servant leadership is uncomfortable, demanding, and essential for building organizations that last.Chapters00:00 Introduction: The Misconceptions of Servant Leadership01:20 Why Softness Isn't Leadership02:40 Appeasement vs. Accountability04:10 Leadership Confusion in Modern Workplaces05:45 Radical Candor and Challenging with Care07:20 What Servant Leadership Actually Is09:00 Authority: Why It Matters and What It Really Means11:00 The Hidden Dangers of Appeasement13:00 How Underperformance Becomes Normalized14:45 Career Damage Caused by Avoidance16:20 Self-Assessment for Leaders: Tough Questions17:40 How to Reset Standards and Rebuild Culture18:45 Closing Thoughts: Courage, Clarity, and Long-Term LeadershipResources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For many developers and engineering leaders, executive coaching feels like something you turn to only when things go wrong. We're trained to solve problems, push through obstacles, and rely on our own expertise. So when progress slows, the default reaction is often to work harder—not to step back and reassess. That's exactly why executive coaching can be so valuable when used intentionally. At its best, coaching isn't about fixing weaknesses. It's about uncovering blind spots, challenging assumptions, and helping capable leaders see where their habits are limiting growth. When the fit is right, coaching brings clarity and momentum. When it's wrong, it simply adds noise. About Andrew Hinkelman Andrew Hinkelman is a certified executive coach and former Chief Technology Officer who works with tech founders, CTOs, and engineering leaders to strengthen their leadership and people skills. With over 25 years of corporate experience, including 8 years as a CTO, Andrew understands firsthand the pressures technical leaders face as they move from hands-on execution to leading teams and organizations. His coaching focuses on helping leaders build trust, develop others, and stay strategic as responsibilities grow. Andrew's philosophy is simple: all professional development is personal improvement. After experiencing burnout in his own leadership journey—constantly stepping in to fix problems and being needed by everyone—he learned the value of trusting his team instead of controlling outcomes. Today, Andrew helps leaders avoid that same trap by building resilient teams, focusing on relationships, and creating environments where others can succeed. Follow Andrew on Instagram and LinkedIn. What executive coaching actually does Leadership coaching is frequently misunderstood, especially in technical environments. It's not mentoring, consulting, or performance management. Rather than providing answers, a coach helps leaders examine how they think, make decisions, and show up—particularly under pressure. This kind of perspective is difficult to gain from inside your own day-to-day context. For technical leaders, this distinction matters. Many engineers advance by being exceptional problem solvers. Over time, that strength can become a constraint. Coaching helps leaders recognize when execution, control, or perfectionism starts to limit influence, trust, and scale. At its core, this work builds awareness—and awareness is what enables meaningful change. When executive coaching is the right move Coaching isn't necessary at every stage of a career. If progress feels steady and challenges are manageable, it may not add much value. However, it becomes especially useful during moments of transition or tension, such as: Stepping into a new leadership role Navigating organizational or team change Feeling stuck despite sustained effort Noticing that familiar approaches no longer work These moments often signal that your environment has changed—but your operating model hasn't. A strong coaching relationship helps leaders adapt intentionally instead of reacting out of habit. Executive coaching for leaders in new roles New leadership roles come with unspoken expectations. Success is no longer defined purely by output, and feedback becomes less direct or less frequent. Many leaders assume they need to "get everything under control" before working with a coach. In reality, coaching is most effective when things still feel unclear. That uncertainty highlights where growth is needed—whether in communication, prioritization, delegation, or decision-making at scale. You don't need to show up polished. You need to show up honestly. What a real coaching engagement looks like One common misconception is that leadership coaching is a one-time conversation or a motivational reset. In practice, effective coaching is an ongoing engagement built around clarity, feedback, and behavior change over time. It starts with defining what success actually looks like—not in abstract terms, but in concrete outcomes that matter to you and your organization. From there, the work focuses on identifying what's getting in the way. Often, these are habits that once helped you succeed but now create friction. If they were obvious, you would have addressed them already. Many engagements begin with structured feedback to ground the work in reality. This helps align self-perception with impact and reduces guesswork. It's not about judgment—it's about accuracy. How to evaluate coaching fit Coaching is a relationship, not a transaction. Talking to multiple coaches isn't optional—it's essential. A strong indicator of fit is experiencing a real working session rather than a polished sales call. Pay attention to how the coach listens, challenges assumptions, and guides reflection. Productive discomfort is often a good sign. If you leave a session seeing a situation differently or questioning a long-held belief, growth is likely. If you leave feeling simply validated, it probably isn't. Red flags that signal a poor coaching fit Coaching is not a rescue tool for poor performance. When someone is disengaged or unwilling to grow, it rarely works. Another red flag is a coach who consistently agrees with you. Comfort feels good in the moment, but it doesn't change behavior. Effective leadership development introduces intentional, constructive friction that leads to insight. Executive coaching during burnout and plateaus Burnout often comes from effort without impact. Leaders work longer hours, take on more responsibility, and still feel stuck. Coaching can help identify a keystone goal—the one focus area that makes everything else easier. It also helps leaders stop over-investing emotional energy in things outside their control, which is a common and costly source of exhaustion in senior roles. Executive Coaching Checklist Signs coaching may help you move forward Indicators that a coach will challenge rather than placate Coaching Fit Test: One Session What a meaningful trial session should reveal How to tell if the coach will stretch your thinking Stuck or Burned Out? Find the Keystone Goal How to identify the one change that unlocks momentum A reset approach for overwhelmed leaders Conclusion Executive coaching isn't about hiring someone to give advice—it's about choosing a partner who helps you see yourself and your situation more clearly. If you're navigating change, feeling stalled, or sensing that effort isn't translating into progress, this kind of support may be less about doing more and more about seeing differently. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Embrace Coaching To Advance Your Career Giving Back As A Mentor, Coach, and Lead Detecting and Avoiding Burnout Building Better Foundations Podcast Videos – With Bonus Content
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Kylee Ingram, a decision science expert and co-founder of Wizer, a platform built to help leaders design better decision-making rooms at scale. Kylee's journey began in sports television and documentary work before pivoting into interactive media and ultimately decision intelligence—a shift inspired by her desire to remove industry gatekeepers and build systems that empower diverse thinking.Kylee unpacks the science behind why good leaders still make bad decisions, revealing how cognitive diversity—not just demographic diversity—is the missing ingredient in most executive teams. She breaks down the three hidden biases that compromise leadership groups (social, information, and capacity bias), why “smart people in the room” isn't enough, and how decision profiles dramatically change communication, hiring, fundraising, and strategic alignment.Through research from Dr. Juliet Burke and real-world examples from organizations like Enron, Kylee illustrates how teams drift toward sameness as companies scale, quietly erasing the diversity of thought needed for innovation. She also shares practical tactics for CEOs to improve decision quality—without slowing down execution—and how leaders can tailor communication to different decision styles for more buy-in, clarity, and outcomes.This episode is a masterclass on designing better rooms, better conversations, and ultimately, better decisions. TakeawaysCognitive diversity—not demographic diversity alone—is what prevents bad decisions in leadership teams.Most CEOs fall into just two decision-making styles, which creates blind spots and groupthink at scale.The “hippo effect” (highest-paid person's opinion) strongly influences decisions unless leaders intentionally speak last.Independence is critical in decision design; decisions made before people enter the room create false consensus.Structured diversity in decision profiles can reduce decision error by 30% and increase innovation by 20%.Decision profiles offer a practical way to identify missing perspectives (e.g., risk-focused, analytical, visionary).Leaders should audit each decision by asking: “Who is missing from this room?”Communication should match decision styles; most organizations inadvertently ignore analyzers, achievers, and risk-oriented leaders.Designing rooms—not relying on gut instinct—is the most reliable way to scale high-quality decisions.Chapters00:00 The Hidden Problem in Leadership Decisions01:12 Kylee's Journey: From TV to Decision Intelligence03:07 Early Wins & The Birth of Wizer04:45 When Gut Instinct Isn't Enough05:40 The Three Biases Undermining Every Leadership Team09:17 The Hippo Effect & Room Dynamics12:22 Cognitive Overload & Oversimplification14:16 Speed vs. Quality: Avoiding Paralysis by Analysis17:38 Cognitive Skew & The Enron Example19:07 The Seven Decision Profiles22:47 Small Teams & Practical Application25:55 Why Personality Tests Don't Work30:34 Cognitive Drift in Scaling Companies33:10 Conflict Entrepreneurs & Modern Culture34:08 Why the Wrong People Keep Making the Decisions36:00 Designing Better Interviews & Panels37:29 Messaging & Decision Styles41:27 Tailoring Communication Without Manipulation43:07 One Thing CEOs Should Implement This Week45:15 Mapping Your Organization with Wizer47:30 Kylee's Aha Moments & Reflections49:06 Closing Thoughts & What's NextKylee Ingram's Social Media Link:https://www.linkedin.com/in/kyleeingram/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
For more thoughts, clips, and updates, follow Avetis Antaplyan on Instagram: https://www.instagram.com/avetisantaplyanIn this episode of The Tech Leader's Playbook, Avetis Antaplyan sits down with Alex Shartsis, serial founder, former corporate development lead, and current CEO of Skyp.ai—to unpack the real cost of “growth at all costs.” With scars and exits to back his views, Alex offers a candid breakdown of what founders get wrong about product-market fit, fundraising traps, and the often-misunderstood economics of scaling.Together, they explore why bootstrapping is back in vogue, how over-raising can kill flexibility, and how AI is redefining what it means to be a lean operator. Alex draws from his time at Perfect Price and now Skyp.ai to expose the hidden “footwork” behind successful GTM strategies and why most SaaS founders underprice out of insecurity. The conversation is loaded with tactical advice—from navigating platform creep to testing pricing thresholds—and peppered with war stories from the front lines of both venture-backed and bootstrapped journeys.Whether you're scaling an AI startup or building quietly with customer revenue, this episode challenges conventional wisdom and lays out what durable, customer-obsessed growth looks like in 2026.TakeawaysMany founders mistake a short burst of sales or demand for true product-market fit, leading to premature scaling and churn.Financial acquirers focus on cash flows; strategic acquirers pay for fit. Most founders don't deeply understand either.Venture capital often creates misaligned incentives. Founders lose control over exits and may be pushed to chase unsustainable valuations.Bootstrapping forces discipline: every dollar must generate near-term return, every decision must align with customer need.Raising too early or too much reduces urgency, increases burn, and often leads to wasteful bets and bloated teams.SaaS buyers increasingly value smaller vendors who prioritize service over scale.Advice is context-dependent: founders must be careful not to blindly copy tactics that worked in a different market or macro.AI tools enable hands-on execution and eliminate layers of communication, especially for lean teams.Founders often “hide their footwork”—the unseen details that actually drive GTM success.Customer proximity and rapid iteration beat slide decks and assumptions every time.Chapters00:00 Growth at All Costs Is Dead01:07 What Acquirers Really Care About02:35 The Mirage of Product-Market Fit05:10 Amazon vs. Realistic Unit Economics06:44 When Losing Money Is Okay—And When It's Not08:01 The Advice Trap: When Playbooks Expire10:01 The SurveyMonkey Blueprint (And Its Limits)13:06 How Bootstrapping Forces Better Decision-Making17:34 Owning the Downside: Founders vs. VCs20:13 Building a $5M Business Without Needing a Billion-Dollar Exit22:30 Platform Creep and Product Dilution27:53 Customer Success Is the Real Differentiator29:49 Jiu-Jitsu and GTM Footwork36:39 How AI Changes How Work Gets Done44:43 Prototyping, Building, and Speed with AI Tools46:41 Pricing Insecurity and Willingness to Pay51:01 You Are Not Your Customer: Pricing Psychology53:48 Cheap Gym Memberships, Expensive LessonsAlex Shartsis's Social Media Link:https://www.linkedin.com/in/shartsis/Resources and Links:https://www.hireclout.comhttps://www.podcast.hireclout.comhttps://www.linkedin.com/in/hirefasthireright
In January, we saw a who's who of tech leaders front and center at President Donald Trump's inauguration.Since, the White House has advocated for the build out of AI infrastructure and put a moratorium on state-level AI regulation. But the Trump administration also added a $100,000 fee to petitions for H-1B visas, which are widely used in the tech sector. To review the year in tech and Trump we called up Suyash Pasi, a research analyst and editor at the nonprofit Human Rights Research Center, who's been following this shift.
In January, we saw a who's who of tech leaders front and center at President Donald Trump's inauguration.Since, the White House has advocated for the build out of AI infrastructure and put a moratorium on state-level AI regulation. But the Trump administration also added a $100,000 fee to petitions for H-1B visas, which are widely used in the tech sector. To review the year in tech and Trump we called up Suyash Pasi, a research analyst and editor at the nonprofit Human Rights Research Center, who's been following this shift.
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