Podcasts about tech leaders

In this episode of The Tech Leader's Playbook, Jason Martin shares the founder decisions behind building Permiso, from interviewing 100 enterprise security leaders before writing code to creating a new cybersecurity market before most buyers understood the problem. He breaks down product-market fit, go-to-market challenges, fundraising pressure, co-CEO leadership, startup resilience, and the realities of selling a company. The conversation also explores AI agents, non-human identities, identity security, and the emerging risks executives must prepare for as AI becomes embedded across the enterprise. Essential viewing for founders, CISOs, technology executives, investors, and cybersecurity leaders.What You'll Learn• Why customer behavior matters more than investor enthusiasm or market compliments.• How Permiso identified identity security as a critical cloud security problem before the broader market caught up.• What founders should understand about fundraising, go-to-market execution, and creating a new category.• When being early becomes a competitive advantage versus simply being wrong.• The security risks AI agents and non-human identities create for modern enterprises.Chapters00:00 Building Permiso Security05:58 From Biology to Cybersecurity10:38 Customer Discovery Before Building14:16 Creating a New Market19:42 Surviving Startup Go-to-Market25:10 Fundraising Is a Treadmill29:29 Making Co-CEO Leadership Work38:42 The Okta Acquisition47:47 AI and Identity Security58:47 Lessons for Founders Follow Avetis AntaplyanInstagram:https://www.instagram.com/avetisantaplyanSpotify:https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDeApple Podcasts:https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628Follow Jason MartinLinkedIn:https://www.linkedin.com/in/jasonlpmartin/HIRECLOUT:https://www.hireclout.comThe Tech Leader's Playbook:https://www.podcast.hireclout.comLinkedIn:https://www.linkedin.com/in/hirefasthirerightidentity security, AI security, cybersecurity, Jason Martin, Permiso Security, Okta, AI agents, non-human identities, cloud security, enterprise security, cybersecurity startups, artificial intelligence security, identity threat detection, startup founder, technology leadership, CISO, cybersecurity leadership, product market fit, customer discovery, go-to-market strategy, startup fundraising, category creation, startup acquisition, cybersecurity acquisition, co-CEO leadership, enterprise technology, AI workforce, startup resilience, technology executives#BusinessExit #ExitStrategy #BusinessValuation #Entrepreneurship #Leadership #CEO #MergersAndAcquisitions #SPAC #ScalingBusiness #FounderLeadership #PrivateEquity #IntegratedCEO

What if the biggest threat to the world's energy infrastructure is something you can't even look at? Dr Chiraz Ennaceur, CEO and Co-founder of Cambridge-based CorrosionRADAR, joined James and Faye for one of our most compelling conversations to date - a masterclass in deep tech entrepreneurship, customer-led product development, and building a global business from a genuinely unglamorous industrial problem.Corrosion costs the global economy an estimated $3 trillion every year, and by 2030, replacing corroded steel is projected to account for up to 9% of greenhouse gas emissions. CorrosionRADAR tackles one particularly stubborn variant: corrosion under insulation (CUI), where the very material designed to protect industrial pipelines and vessels creates the perfect conditions for hidden decay."We are the doctor of things rather than the doctor of people. We go, we look, we diagnose, and we find solutions to make sure that things are running in a safe way."The company's sensor technology - including what it claims is the world's longest CUI sensor at 50 metres - installs beneath insulation and feeds real-time data into its Clarity software platform, delivering granular risk assessment without ever needing to remove the insulation itself.Key highlights from the episode:The founding story: Chiraz worked at TWI (The Welding Institute) for a decade before leaving in 2016 to pursue the entrepreneurial dream she'd had since her PhD in France. A two-weekend programme for female entrepreneurs gave her the confidence to act. The Cranfield connection: CorrosionRADAR is a spinout from Cranfield University, where co-founder Dr Prafull Sharma developed the core electromagnetic guided radar technology that underpins the product.Capital efficiency: The company has raised $14 million across multiple rounds - modest by deep tech standards - because it prioritised paying customers from day one. First customer signed within six months of founding. First investor secured in the same year.Who's backing them: Aramco Ventures - the investment arm of the world's largest oil company - started as a customer and became an investor. ADNOC and Chevron are also in the customer base.The team: CorrosionRADAR now employs nearly 50 people across Cambridge, the Middle East and a growing US operation, including newly appointed CMO Steve Tongish, previously of IQGeo, RealVNC and AVEVA.What's next: Three strategic pillars - moving from predictive to autonomous AI (powered by an in-house engine called Hakima), global expansion, and positioning for the new build energy transition market.The founder's advice to founders:"Don't wait for a perfect product. Go and find your early adopters - the ones happy to try something that isn't 100% working. Because there is a huge difference between your nice, clean lab and the crude places where this technology actually gets used."This is a rare window into what disciplined, customer-obsessed deep tech company building actually looks like. CorrosionRADAR didn't chase the AI hype cycle or raise money it didn't need. It built hardware when everyone said to avoid hardware, stayed focused on five key customers when it could have spread thin, and turned a niche industrial problem into global market leadership.If you're building in the industrial IoT, energy tech or sensor space - or you're an investor trying to understand what genuine product-market fit looks like in enterprise deep tech - this episode is essential listening.Headline sponsor Holden Polestar Produced by Cambridge TV #CamTechPod Hosted on Acast. See acast.com/privacy for more information.

In this episode of The Tech Leader's Playbook, Peter Goldstein, entrepreneur, investor, CEO, and founder of Integrated CEO, shares lessons from nearly four decades of building, exiting, and advising companies. He explains why transferability matters more than short-term performance, how founders can prepare early for an exit without committing to sell, and what buyers actually evaluate when pricing risk. The conversation also explores SPACs, M&A integration, company culture, founder dependency, leadership bottlenecks, and the personal consequences of selling a business. For founders, CEOs, investors, and executives building companies for sustainable growth, this episode offers a practical framework for creating enterprise value without sacrificing purpose, health, or freedom.What You'll Learn• Why profitable businesses can still lose value when they depend too heavily on the founder.• How founders can build transferability, stronger leadership, and optionality years before an exit.• What buyers and investors evaluate when determining company valuation and acquisition risk.• When a SPAC or public-market strategy may make sense compared with other exit options.• The leadership habits that help founders reduce bottlenecks while building sustainable companies.Chapters00:00 Building a Transferable Business03:30 When to Prepare for Exit07:56 What Makes Companies Valuable13:53 Understanding SPACs20:38 Valuation and Market Reality22:12 Why M&A Deals Fail29:12 Life After Selling35:57 Rebuilding Through Adversity42:35 Founder Bottlenecks and Scaling48:50 Ego, Curiosity, and LeadershipFollow Avetis AntaplyanInstagram:⁠https://www.instagram.com/avetisantaplyan⁠Spotify:⁠https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDe⁠Apple Podcasts:⁠https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628⁠Follow Peter GoldsteinLinkedIn:⁠https://www.linkedin.com/in/petergoldstein-exitandcapitalmarketstrategist/⁠Website:⁠https://petergoldstein.co/⁠HIRECLOUT:⁠https://www.hireclout.com⁠The Tech Leader's Playbook:⁠https://www.podcast.hireclout.com⁠LinkedIn:⁠https://www.linkedin.com/in/hirefasthireright⁠business exit strategy, company valuation, business valuation, founder leadership, business succession planning, selling a business, exit planning, enterprise value, founder dependency, business transferability, mergers and acquisitions, M&A strategy, SPAC, special purpose acquisition company, IPO alternative, public markets, private equity, acquisition strategy, company culture, leadership development, scaling a business, founder bottleneck, CEO leadership, institutional capital, corporate governance, Peter Goldstein, Integrated CEO#BusinessExit #ExitStrategy #BusinessValuation #Entrepreneurship #Leadership #CEO #MergersAndAcquisitions #SPAC #ScalingBusiness #FounderLeadership #PrivateEquity #IntegratedCEO

In today's Cloud Wars Minute, I break down Microsoft's push to protect open-weight AI models and why the debate over openness could shape the future of the AI ecosystem. Highlights 00:09 — Microsoft is among more than 20 tech companies, including NVIDIA, Meta, and Palantir, that have issued an open letter urging U.S. lawmakers to slow down in placing restrictions on open-weight AI models. These are models that users can modify and run on their own infrastructure. 00:38 — The backlash from the companies comes in light of discussions within the U.S. government about potentially restricting access to Chinese open-weight AI models in the U.S. The administration's floated the idea of potential restrictions or sanctions involving Chinese open-weight models around concerns about copying other AI models, intellectual property theft, and national security. 01:06 — The tech companies that signed the letter argue that open-weight models strengthen competition, and with technology benefits broadly shared instead of being concentrated into a few hands, and that, in fact, relying entirely on closed models is not inherently safe because they can be breached, misused, or fail in ways that outsiders can't detect. 01:30 — They say that keeping AI advancements in a small circle of companies just compounds that risk. Sharing the letter on his personal X account, Microsoft CEO Satya Nadella said, "Open-weight models are essential to a healthy AI ecosystem. Together with others across our industry, we are outlining a path for open-weight models to strengthen American competitiveness and expand economic opportunity while protecting national security." 02:14 — This is yet another example of how the democratization of AI is being promoted by tech companies. In my opinion, the idea of collaboration and openness has made it much easier for the public to trust AI. Not only does this strengthen the position of the companies themselves, but it also means that more people will benefit safely and securely from the potential of AI technologies. Visit Cloud Wars for more.

In this solo episode of The Tech Leader's Playbook, Avetis Antaplyan examines how artificial intelligence, workforce efficiency, and headcount reduction affect talent development and succession planning. He explains why repetitive work can be automated without eliminating career pathways, how middle managers translate strategy into execution, and why companies cannot rely exclusively on external executive hiring. This episode is essential for CEOs, CTOs, technology leaders, HR executives, investors, and managers responsible for building sustainable organizations.What You'll Learn• Why automating junior-level work can weaken the future leadership pipeline.• How middle managers develop talent, preserve institutional knowledge, and turn strategy into execution.• What companies should measure beyond productivity, headcount reduction, and short-term margins.• When AI should accelerate employee judgment rather than replace critical thinking.• The practical steps leaders can take to redesign career paths and develop future executives.Chapters00:00 The Leadership Pipeline Crisis02:25 Efficiency Versus Long-Term Capability04:50 Leadership Legacy and Development07:12 Entry-Level Jobs and Experience09:32 Why Middle Management Matters11:56 Internal and External Hiring14:20 Productivity Versus Capability16:46 The Experience Paradox19:08 Redesigning Junior Roles26:07 Building Better Career PathsFollow Avetis AntaplyanInstagram:https://www.instagram.com/avetisantaplyanSpotify:https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDeApple Podcasts:https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628HIRECLOUT:https://www.hireclout.comThe Tech Leader's Playbook:https://www.podcast.hireclout.comLinkedIn:https://www.linkedin.com/in/hirefasthirerightAI automation, leadership development, future of work, artificial intelligence in business, leadership pipeline, workforce automation, talent development, succession planning, entry-level jobs, middle management, executive leadership, career development, organizational capability, workforce efficiency, employee development, AI productivity, management training, internal promotions, executive hiring, institutional knowledge, critical thinking, AI fluency, mentorship and coaching, technology leadership, human capital strategy, Avetis Antaplyan, The Tech Leader's Playbook#ArtificialIntelligence #LeadershipDevelopment #FutureOfWork #AI #TechnologyLeadership #ExecutiveLeadership #TalentDevelopment #SuccessionPlanning #MiddleManagement #WorkforceAutomation #CareerDevelopment #TechLeadersPlaybook

Join Chris Winquist, Co-Founder and CEO of Groundhawk, for a compelling look at the digitization of critical physical infrastructure. Infrastructure construction remains one of the world's least digitized sectors, where billions of dollars in underground assets—like fiber optic conduits and power lines—are still documented using paper maps, hand scribbles, or delayed post-backfill estimates. Drawing from his career spanning McKinsey, Nokia, radar satellite unicorn ICEYE, and Groundhawk, Chris breaks down how AI-powered spatial intelligence and smartphone 3D photogrammetry allow field crews to capture centimeter-accurate 3D as-built data while trenches are open, solving a decades-old mapping challenge before the dirt goes back in.

The majority of active pharmaceutical ingredients come from other countries. Whose responsibility is it to secure America's future in healthcare innovation? Dr. Jeremy Levin is clear: everyone.

Comment faire grandir une organisation sans perdre en efficacité ni en engagement ?C'est le défi qu'a relevé Fabrice Bernhard, le cofondateur de Theodo. Partis de l'Agile, lui et son équipe ont vite dû trouver une nouvelle voie face à la croissance rapide de l'entreprise : des projets plus gros, des équipes support à embarquer, des recrutements massifs… Et leur réponse face à tout ça : le Lean. Un modèle qui transforme chaque problème en opportunité d'apprentissage et qui a permis, par exemple, de réussir 120 recrutements en un an sans sacrifier la qualité.Dans ce nouvel épisode de Learning by Doing, Fabrice partage donc les limites de l'Agile quand l'entreprise grandit, mais aussi comment appliquer le Lean au-delà de la tech (RH, recrutement, commercial). Et bien sûr, tout cela illustré par des pratiques concrètes : feedback en continu, visualisation des flux…Bonne écoute !À très vite,Prenez soin de vous !Plus d'info :Pour suivre Fabrice sur LinkedIn :Pour découvrir son livre : The Lean Tech Manifesto: Learn the Secrets of Tech Leaders to Grasp the Full Benefits of Agile at ScalePour recevoir gratuitement notre sélection hebdo de conseils pratiques pour animer votre équipe, rendez-vous ici : https://teambakery.com/nlEt n'oubliez pas de laisser 5 étoiles et un gentil commentaire sur Apple Podcast et Spotify si l'épisode vous a plu.CHAPITRAGE00:00:00 – Intro00:04:50 – De la méthode Agile au Lean00:13:14 – Qu'est-ce que le Lean exactement ?00:17:10 – Comment ont-ils su qu'ils allaient dans la bonne direction ?00:19:06 – Quel a été le résultat de tout ce qu'ils ont mis en place ?00:22:22 – Et qu'est-ce que cela a apporté à leurs autres équipes ?00:25:09 – Comment se matérialise l'approche de « flux » ?00:31:28 – Comment se matérialise l'organisation de travail apprenante ?00:36:11 – Quels autres rituels de partage ont-ils mis en place ?00:38:24 – Quelles sont les conséquences heureuses de ce livre ?00:41:37 – Et dans son organisation personnelle, qu'utilise-t-il du Lean ?00:43:44 – S'il ne fallait retenir qu'une chose du Lean ?Vous aimerez cet épisode si vous aimez : Outils du Manager • Happy Work • HBR on Leadership • Le Podcast de la Formation • MANAGEMENT & LEADERSHIP • Learn & EnjoyHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Most episodes of this podcast deal with the here and now, the day-to-day cut and thrust of what is going on in the market. This podcast is completely different because it gives us a view into the future of broking. Clyde Bernstein is the Placement Technology & Trading Analytics Leader at Aon and in the first half of this podcast we examine the global broker's new Digital Placement Exchange (DPX) placing system, designed to automate the placing of following lines. Once that essential building block of the conversation is out of the way, the interview really begins to take off. What Aon is in the middle of doing is removing friction and cost from the placing process, while fully connecting all its brokers with the whole global market and all the insights the vast amount of risk and market data it has at its disposal can afford. Exploring the logical medium- and long-term consequences for the market is the really interesting part of our discussion. The transformation is profound. A market with far greater liquidity, access to deeper pools of capital and an ability to trade risk much faster and more efficiently is what emerges. Productivity, customer service and product innovation should also surge. The role of the broker could also change fundamentally. But the best thing about this conversation is not the clarity of the blue-sky thinking on display, but rather the fact that the person shaping the vision is resolutely a broker and not a technologist. In his long career Clyde has brokered claims, reinsurance and specialty risks. He is one of us – a lifelong broker who has learnt to engage with cutting edge technology and not the other way around. This means that our discussion is always grounded from the perspective of the real life of a broker solving client problems and not the utopian vision of a technologist who has never placed a risk or paid a claim. It's mind-expanding stuff and one of the best discussions on the future of broking I have ever recorded. I highly recommend a listen. LINKS: We thank our naming sponsor AdvantageGo, now part of Sapiens: https://www.advantagego.com

In this episode, host Tessa Norman is joined by Leigh Bates, PwC's Global Risk AI Leader, and Lilia Christofi, PwC's EMEA Financial Services Data, AI and Tech Leader, to explore how financial services firms and regulators should respond as AI adoption accelerates and systems become more autonomous. Against the backdrop of the FCA-commissioned Mills Review and the Financial Services AI Adoption Plan (an independent report published by HM Treasury), our guests unpack the shift from experimentation towards AI at scale. They discuss what greater autonomy could mean for firms and consumers, where existing regulatory frameworks may come under pressure, and how firms need to evolve governance and assurance as AI moves from supporting decisions to taking actions. Finally, our guests share practical priorities for boards, and discuss the people, technology, data and operating-model foundations that firms need to be able to turn AI pilots into trusted, scalable deployment. If you'd like to find out more, contact our speakers at leigh.bates@pwc.com and lilia.v.christofi@pwc.com. You can also explore the full findings of PwC's AI Performance Study: https://www.pwc.com/gx/en/1/issues/tech-data-ai/ai-roi.html

Dave, Esmee, Rob and Marcel wrap up an incredible Season 5, reflecting on the biggest technology trends, the most memorable conversations, and the fantastic guests who joined us along the way. From AI and cybersecurity to quantum computing and digital transformation, it's been a season full of insights, innovation, and inspiration.Thank you to all our listeners, guests, and supporters for being part of the Realities Remixed journey. We wish you a fantastic summer and look forward to bringing you even more thought-provoking conversations when we return in September for Season 6!TLDR00:27 – Season 5 reflections and key trends02:38 – Summer observations and random interruptions05:01 – From Cloud Realities to Realities Remixed08:05 – Winning 3 Global Marketing Awards10:50 – Esmee's journey and what's next14:05 – Technology trends revisited15:20 – Cybersecurity and investment challenges18:34 – Scaling AI beyond pilots25:41 – The reality of business transformation 33:35 – AI governance, agents, ethics, and the future of work47:00 – Knowledge retention and collaboration49:20 – Hardware innovation for AI51:17 – Macro trends and standout guests57:45 – Digital sovereignty and resilience1:08:00 – Why systems thinking must change1:12:00 – The Octopus Organisation1:18:24 – Summer plans and what's aheadHostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

In this episode of The Tech Leader's Playbook, Avetis Antaplyan speaks with technology executive, investor, author, and MIT Media Lab affiliate researcher Harry Glorikian about how AI is changing business at the operating-model level. Drawing from his book The Invisible Interface, Harry explains why domain experts may outperform pure technologists, how AI agents could enable billion-dollar companies with remarkably small teams, and why traditional software businesses face growing disruption. They also examine AI implementation mistakes, organizational redesign, proprietary data, cognitive rent, leadership accountability, and why executives should focus on revenue creation—not only headcount reduction. This conversation is essential for CEOs, CIOs, CTOs, investors, entrepreneurs, and technology leaders preparing their organizations for an AI-native economy.What You'll Learn• Why AI strategy must be led by executives rather than delegated entirely to technology teams.• How domain expertise helps organizations build more accurate and valuable AI workflows.• What the invisible interface means for software, commerce, customer relationships, and competitive advantage.• When proprietary data, institutional knowledge, and AI memory create cognitive rent and vendor lock-in.• The organizational questions leaders should answer before deploying AI agents across the business.Chapters00:00 AI Leadership and Organizational Change01:35 Harry Glorikian's Career Journey06:30 Leadership Lessons and Innovation16:24 Executive AI Implementation Mistakes25:00 AI Agents and Smaller Teams27:30 SaaS Disruption and Consolidation34:12 Why AI Is Not a Bubble39:32 The Invisible Interface52:42 Redesigning AI-Native Organizations01:06:01 AI Investment Opportunities and PredictionsFollow Avetis AntaplyanInstagram:https://www.instagram.com/avetisantaplyanSpotify:https://open.spotify.com/show/0rOkUXDSQb6SVFE6LttWDeApple Podcasts:https://podcasts.apple.com/us/podcast/the-tech-leaders-playbook/id1690263628Follow Harry GlorikianLinkedIn:⁠https://www.linkedin.com/in/harryglorikian/⁠Website:⁠https://glorikian.com/⁠HIRECLOUT:https://www.hireclout.comThe Tech Leader's Playbook:https://www.podcast.hireclout.comLinkedIn:https://www.linkedin.com/in/hirefasthirerightartificial intelligence, AI leadership, enterprise AI strategy, generative AI, AI agents, large language models, organizational design, future of work, digital transformation, AI implementation, executive leadership, AI business strategy, domain expertise, proprietary data, cognitive rent, AI memory, competitive advantage, SaaS disruption, software disruption, AI infrastructure, business innovation, technology investing, one-person billion-dollar company, Harry Glorikian, Avetis Antaplyan, The Invisible Interface, The Tech Leader's Playbook, MIT Media Lab#ArtificialIntelligence #AILeadership #EnterpriseAI #GenerativeAI #AIAgents #DigitalTransformation #FutureOfWork #TechnologyLeadership #BusinessStrategy #SaaS #Innovation #ExecutiveLeadership

Send us Fan MailWhat does it take to be a tech CEO and what path leads a person there?Sharon Lynch is CEO of Modus Create, a global consulting company that helps organizations modernize legacy systems, build digital products, and deploy AI‑driven solutions.Sharon graduated from Washington State University's management information systems program in the Carson College of Business, one of the first alums with an MIS degree. Sharon was also in the WSU Honors College and a university-wide sorority leader. Washington State Magazine editor Larry Clark talks with Sharon about how her experiences at WSU led her to the tech industry. She also discusses what it means to be a woman in a tech leadership role, giving back to WSU and students, and the importance of critical thinking in this time of rapid change with AI.Support the show______________________________________________________________________________Want more great WSU stories? Follow Washington State Magazine:        LinkedIn @Washington-State-Magazine        Bluesky @wastatemagazine.bsky.social        X (formerly Twitter) @wsmagazine        Facebook @WashingtonStateMagazine        Instagram @WashingtonStateMagazine        YouTube @WashingtonStateMagazine        Email newsletterHow do you like the magazine podcast? What WSU stories do you want to hear? Let us know.Give to the magazine

Big K Hour 02: Hear about China's new AI software that is worrying American tech leaders full 1414 Tue, 21 Jul 2026 12:18:24 +0000 8YahG02b2lDKlhKnm6wq3TL35aso1u4n news The Big K Morning Show news Big K Hour 02: Hear about China's new AI software that is worrying American tech leaders The Big K Morning Show 2024 © 2021 Audacy, Inc. News https:

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 challenges one of the most common questions surrounding artificial intelligence: How quickly can companies replace people with AI? Instead, he argues that leaders should ask whether they are making expensive organizational decisions by overestimating what AI can accomplish without experienced people.Drawing on emerging workforce trends and examples from major technology companies, Avetis examines why some organizations now regret making deep, AI-driven staffing cuts. He explains that while AI can generate code, summarize meetings, analyze data, and accelerate administrative work, it cannot replace judgment, accountability, leadership, customer understanding, or institutional knowledge.Avetis also explores the hidden costs of AI adoption, including infrastructure expenses, governance, human oversight, rehiring, retraining, cultural damage, and the risk of repeating errors at scale. He encourages technology leaders to use AI to increase employee output rather than treating it as a blanket headcount-reduction strategy.Ultimately, the episode offers a balanced warning against both overreacting and underreacting to AI. The companies that win will not necessarily be those that eliminate the most jobs, but those that combine powerful AI tools with experienced people, disciplined decision-making, and strong leadership.TakeawaysLeaders should ask how AI can improve employee output—not simply how many employees it can replace.Many companies are discovering that they cut staff too deeply or too quickly.AI can generate options, but leaders must remain responsible for decisions.Long-tenured employees carry institutional knowledge that may disappear when they leave.Rebuilding an eliminated team can cost significantly more than the original payroll savings.AI can scale excellence, but it can also repeat one mistake thousands of times.Aggressive automation can damage trust, retention, innovation, and company culture.Underreacting to AI is also dangerous; leaders need adoption without reckless organizational disruption.Chapters00:00 The Wrong Question About AI02:05 Companies Are Regretting AI-Driven Cuts03:55 What AI Still Cannot Replace05:45 The Hidden Cost of Lost Knowledge07:45 Rehiring and Rebuilding Teams09:55 Infrastructure, Oversight, and Errors at Scale11:55 AI's Impact on Trust and Culture13:35 How the Best Companies Use AI16:10 Productivity Is Not Replacement17:25 What Technology Leaders Should Do18:55 AI Exposes Average Work20:15 The Risk of UnderreactingResources 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 Ariel Jalali, an AI entrepreneur, advisor, operator, longtime CTO, and founder of Paragon Tech. Ariel has been building in AI and machine learning since 2014, previously taught part-time at UCLA, and now helps mid-market companies drive capital efficiency and value creation through practical, measurable AI implementation.Together, Avetis and Ariel unpack why this AI wave feels fundamentally different from previous technology shifts like the internet, cloud, mobile, ERP, and CRM. Ariel explains why the speed of change is compressing decades of transformation into years, why curiosity may matter more than age when adopting AI, and why the future of work may be better understood as the future of earning, ownership, purpose, and belonging.The conversation moves from tactical to philosophical, covering AI adoption inside private equity-backed and mid-market companies, the rising importance of CFOs and COOs, the difference between efficiency AI and productivity AI, and why organizations should avoid simply automating broken processes. Ariel also shares his perspective on career reinvention, player-coach leadership, AI avatars in meetings, the risks of outsourcing human thinking, and why human relationships still matter in an increasingly automated world.TakeawaysAI is not just another technology cycle; Ariel frames it as a new wave moving much faster than cloud, mobile, ERP, or CRM adoption.Career resilience in the AI era depends less on age and more on curiosity, tinkering, adaptability, and a willingness to learn by doing.Ariel argues that the “future of work” may become the future of earning, ownership, purpose, and belonging as traditional jobs evolve.Companies should begin AI projects with clear KPIs, measurable ROI, and an understanding of the business outcome they are trying to improve.Efficiency AI focuses on automating tedious back-office workflows, while productivity AI helps people create, decide, and execute faster.Spreadsheets are often a signal of operational gaps between systems, processes, or expectations—and can be a strong place to find automation opportunities.Automating a broken process only makes the dysfunction faster; leaders should simplify, question assumptions, and redesign workflows around outputs.Middle management and traditional project management are being reshaped into “player-coach” roles where leaders must orchestrate work and add real value.AI is powerful, but high-stakes thinking, judgment, relationship-building, and nuanced communication still require human ownership.Chapters00:00 The Role of the COO in the AI Era02:09 The Impact of AI on Careers and Industries05:58 AI as a Collaborative Partner08:11 The Future of Work and Purpose13:53 Embracing Change and Learning17:14 The Importance of Curiosity in the Workplace23:02 Best Practices for AI Implementation30:10 Navigating Career Changes in the AI Landscape37:09 The Dangers of Multitasking in Career Development40:03 The Impact of AI on Work Efficiency42:27 Evolving Roles in Management and Project Oversight49:21 The Future of Meetings and AI Integration56:09 Identifying What's Broken in Organizational Processes01:02:34 The Importance of Relationships in Business01:10:21 Navigating the Future with AI and Human CollaborationAriel Jalali's Social Media Link:https://www.linkedin.com/in/arieljalali/https://x.com/arieljalaliResources and Links:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

AI leaders are backing away from some of their most dramatic warnings about job loss. After months of predictions about massive displacement, major voices in tech are now saying artificial intelligence may work more like a productivity tool than a full replacement for human labor.In this episode, we look at why the message is changing, what real-world automation failures reveal, and why companies may be overstating the success of their AI rollouts. The shift suggests the future of work may be less about humans being replaced and more about businesses trying to figure out where AI actually works.The conversation around artificial intelligence and jobs is starting to change. Some of the same tech leaders who warned that AI could wipe out huge sections of the labor market are now taking a more cautious tone.Instead of predicting a total collapse in employment, they are talking more about AI as a tool that can support workers, speed up routine tasks, and improve productivity. That shift may reflect the slower pace of real economic change. It may also reflect a need to keep businesses, workers, and customers confident in AI products.The reality has been more complicated than the headlines. Companies that tried to replace people with automation have sometimes had to bring human workers back. Ford's experience with automation is one example of how hard it can be to remove people from complex work entirely.There are also signs that some internal corporate AI reports may be more optimistic than the results justify. If companies are overstating AI success, it raises questions about how much of the current AI boom is proven value, and how much is still experimentation.The future of work may not be a simple story of machines replacing people. It may be a slower, messier shift where companies use AI in some areas, keep humans in others, and learn that the best results often come from combining both.AI and the future of workArtificial intelligence and job lossAutomation in the workplaceWhy tech leaders are changing their messageFord and failed automation effortsAI productivity toolsCorporate AI reportsHuman workers and AI toolsThe limits of automationWhat AI means for employmentAI jobs, AI job loss, artificial intelligence jobs, future of work, AI automation, workplace automation, AI productivity, tech leaders AI, AI replacing workers, AI and employment, corporate AI, AI tools at work, automation failures, human workers and AIAI leaders spent months warning that artificial intelligence could upend the labor market. Now, many are changing their tone.The new message is less about replacing everyone and more about using AI to support human work. But real-world examples show the shift is far more complicated than the hype suggests.

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 records from Tokyo, Japan on the final day of a trip that sparked a powerful reflection on Japanese business culture and what American companies can learn from it. Rather than focusing only on Japan's food, technology, or hospitality, Avetis explores the deeper “operating system” behind the country's excellence: the philosophies, habits, and management principles that shape how people build, lead, improve, and serve.Avetis breaks down several Japanese business concepts, including Kaizen, Genchi Genbutsu, Nemawashi, Monozukuri, Omotenashi, Hoshin Kanri, and Shuhari, translating each into practical lessons for tech leaders, founders, and operators. He challenges companies to stop relying on heroic individuals and instead build systems where ordinary people can produce extraordinary results. He also emphasizes the importance of continuous improvement, process discipline, customer proximity, thoughtful alignment, craftsmanship, hospitality, strategic execution, and mastering fundamentals before innovating.This solo episode offers a grounded, insightful look at how leaders can create more scalable, thoughtful, and resilient organizations by borrowing not just Japanese products, but the principles behind them.TakeawaysSmall, daily improvements compound into long-term competitive advantage.Strong processes reduce the need for “heroes” who save the day through overwork or last-minute effort.Great companies create systems that help ordinary people produce extraordinary results.Leaders should get close to the actual work instead of managing only through dashboards and reports.Major decisions are stronger when leaders build alignment before making formal changes.Speed without alignment creates confusion, rework, and unnecessary resistance.Quality should not live in one department; it should be a mindset across the entire organization.Great customer and employee experiences come from anticipating friction before it happens.Strategy only matters if it connects clearly to daily execution.Innovation should come after mastering and improving the fundamentals, not before.Chapters00:00 Recording from Tokyo and the Inspiration Behind the Episode01:00 Japan's Hidden Operating System for Business01:25 Kaizen: Why Small Improvements Beat Big Ideas02:45 Building Companies Around Continuous Improvement03:00 Respect for Process Over Hero Culture04:00 Creating Systems That Develop A-Players04:15 Genshi Genbutsu: Go See the Work Yourself05:00 Nemawashi: Building Alignment Before Big Decisions05:45 Monozukuri: Craftsmanship, Pride, and Quality06:35 Omotenashi: Anticipating Customer and Team Needs07:10 Hoshin Kanri: Connecting Strategy to Daily Execution08:20 Shuhari: Learn, Master, Then Innovate09:45 Why Fundamentals Must Come Before Reinvention10:35 The Big Takeaway for Tech Leaders and Operators11:15 Why These Principles Matter More in the Age of AI11:45 Closing Season Three and Previewing What's NextResources 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 solo episode of The Tech Leader's Playbook, Avetis Antaplyan explores one of the most overlooked yet critical leadership skills: decision-making. Drawing on insights from conversations with CEOs, CTOs, founders, professional athletes, Hall of Fame coaches, and executives from companies including Apple, Google, Amazon, National Geographic, and Radical Candor, Avetis breaks down what separates exceptional leaders from everyone else.He argues that leadership success is rarely about having perfect information, superior intelligence, or flawless strategy. Instead, the leaders who consistently create momentum are those who can make sound decisions despite uncertainty. Avetis shares practical frameworks used by high-performing leaders, including Amazon's "one-way door vs. two-way door" decision model, Jeff Bezos' regret minimization framework, and the importance of principle-based decision-making.The episode also examines how AI is changing the leadership landscape. While artificial intelligence can accelerate analysis and provide recommendations, Avetis explains why human judgment, accountability, and courage remain irreplaceable. Through real-world examples and actionable leadership lessons, he challenges listeners to identify the decisions they've been avoiding and take decisive action before delays become the real obstacle to progress.TakeawaysExceptional leaders distinguish themselves through decision-making, not intelligence alone.The greatest organizational threat is often indecision, not making the wrong decision.Most leadership decisions must be made with incomplete information.Leaders are paid for their ability to navigate uncertainty and create momentum.A mediocre decision made quickly often outperforms a perfect decision made too late.Amazon's "one-way door vs. two-way door" framework helps determine when to move fast and when to proceed carefully.Great leaders commit fully after making a decision rather than remaining trapped in doubt.Principle-based decision-making allows leaders to make consistent decisions faster.Technology leaders often make the mistake of optimizing for technical perfection instead of business outcomes.AI can provide information and recommendations, but accountability and judgment remain human responsibilities.When a decision is inevitable, delaying it often causes more damage than acting on it immediately.Chapters00:00 Why Decision-Making Separates Great Leaders01:12 The Myth of Intelligence and Leadership Success02:13 Why Indecision Damages Organizations03:25 Amazon's One-Way Door vs. Two-Way Door Framework04:38 Lessons from Hall of Fame Coach Dick Vermeil05:15 Radical Candor and the Courage to Act05:55 Technology Leaders and Business Outcomes06:30 Framework #1: Speed Over Perfection07:00 Framework #2: Regret Minimization08:00 Framework #3: Reversible vs. Irreversible Decisions08:55 Framework #4: Principle-Based Decision Making09:55 Why AI Makes Judgment More Valuable11:05 Creating Momentum Through Action11:40 The Decisions You're Avoiding Right Now12:10 When It's Inevitable, Make It Immediate12:45 Closing Thoughts and Final TakeawaysResources 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 Mike Krupit, a former CTO, COO, CEO, founder, executive coach, and strategic advisor, to explore what it really takes to build companies that can scale without becoming dependent on one leader.Mike shares how he grew from software engineer into executive leadership and why he believes leadership is the transferable skill that matters most. He opens up about early mistakes as a manager, including learning that leading people requires a very different skill set than solving technical problems. From there, the conversation moves into one of Mike's core leadership philosophies: the best leaders make themselves dispensable by building strong teams, clear systems, and healthy communication habits.Avetis and Mike also discuss succession planning, founder-led sales, founder mode, emotional maturity, direct feedback, boundaries, forecasting, and why leaders must understand where profit actually comes from inside the business. Mike brings a practical, thoughtful perspective shaped by decades of operating, scaling, advising, and coaching.This episode is a valuable listen for founders, executives, and tech leaders who want to build stronger teams, remove themselves as the bottleneck, and lead through uncertainty with more clarity and discipline.TakeawaysLeadership is the transferable skill that allowed Mike Krupit to move from software engineering into CTO, COO, CEO, founder, coach, and advisor roles.Great leaders do not become more valuable by making themselves indispensable. They become more valuable by building teams that can operate without them.Communication is one of the most important operating systems in a growing company, especially in remote, hybrid, or fast-changing environments.Leaders should aim to be wanted, not needed. If the business falls apart without you, that is not proof of your value. It is proof of a bottleneck.Direct feedback only works when there is trust. Leaders need to make enough relational “deposits” before they can make hard feedback “withdrawals.”Founders often get stuck because the people, processes, systems, or markets that worked at one stage are no longer strong enough for the next stage.Chapters00:00 Introduction: Building Teams That Thrive Without You02:19 Why Technical Skill Alone Does Not Make Someone a Great Leader05:42 The Contrarian Case for Becoming Dispensable08:39 Why Building a Self-Sustaining Team Creates More Opportunity12:43 Why Communication Is Gold in Remote and Hybrid Teams14:48 Succession Planning Before You Think You Need It18:39 How Scalable Organizations Prevent Growth Bottlenecks24:50 Carefrontation, Trust, and Handling Workplace Friction27:14 Why Radical Candor Fails Without Real Trust30:40 Emotional Maturity and the Value of Outside Perspective36:22 Where Founders Get Stuck When Moving From Traction to Scale38:55 The Problem With Misusing Founder Mode45:45 Why Saying No Is an Underrated Competitive Advantage48:14 The Not To-Do List and Getting Work Off the Founder's Plate50:12 Finding the Customer Segments That Actually Drive Profit55:08 Why Leaders Need to Look Beyond Revenue58:38 Forecasting, Scenario Planning, and Learning From Missed Targets01:00:17 Why Quarterly Planning May Beat Annual Planning in Uncertain Markets01:05:08 Mike's Favorite Leadership Book and the Power of VulnerabilityMike Krupit's Social Media Link:https://www.linkedin.com/in/mkrupit/Mike Krupit's Website Link:https://www.trajectify.com/mike-krupitResources and Links:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

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.

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 explores why AI may create more career opportunities than job losses, even as layoffs and automation dominate the headlines. Drawing from his perspective as the leader of an executive search, technology, and go-to-market recruiting consulting firm, Avetis breaks down the new roles emerging from the AI revolution and what technology leaders need to understand now.He explains why roles like Forward Deployed AI Engineers, AI Ops Leaders, and GTM Engineers are becoming critical as companies shift from simply experimenting with AI to actually implementing it in ways that drive business outcomes. Rather than viewing AI purely as a cost-cutting tool, Avetis argues that leaders should use it to create leverage, improve quality, increase speed, and elevate their teams.This episode also examines how AI amplifies top performers, widens the gap between average and exceptional talent, and forces companies to rethink hiring, training, leadership, and team design. For executives, founders, and technology leaders, this is a practical playbook for building AI-native teams without losing the human side of leadership.TakeawaysAI will eliminate certain tasks and roles, but it will also create entirely new categories of work.The biggest career risk is not AI itself, but being replaced by someone who knows how to use AI better.AI does not make average performers equal to top performers; it amplifies the people who already have stronger judgment, work ethic, and learning ability.Leaders who treat AI only as a headcount reduction tool are thinking too short-term.Companies should train every employee on AI instead of limiting AI knowledge to technical teams.Organizations need to reward outcomes, not activity, while still maintaining strong quality standards.The future belongs to high-leverage teams that combine human judgment, machine intelligence, strong leadership, and operational discipline.Chapters00:00 Why AI May Create More Jobs Than It Replaces02:25 How Technology Waves Create New Opportunities05:15 Forward Deployed AI Engineers and Business Outcomes06:35 AI Ops Leaders, Governance, and Execution07:30 Why GTM Engineers Are Becoming So Valuable09:30 AI Rewards Top Talent and Widens the Performance Gap11:52 Why Leaders Should Think Leverage, Not Replacement13:00 What Companies Are Getting Wrong About AI Cost Cutting14:17 Training Every Employee to Use AI15:00 Rewarding Outcomes Instead of Activity15:45 Hiring for Adaptability in the AI Era16:43 Building AI-Native Leadership and Human-Centered Teams17:30 Technology Redistributes Opportunity18:20 The Real Risk: Someone Using AI Replacing You19:09 Final Thoughts for Leaders Building Responsible AI TeamsResources and Links:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

Israel continues to rank among the world's leading innovation economies, with a startup ecosystem valued at hundreds of billions of dollars and a global reputation for entrepreneurship, technology and research. In this episode, SBS speaks with Israel's Trade Commissioner to Australia, Ohad Blumberg, about the country's resilience as a technology and investment hub amid ongoing regional conflict and geopolitical challenges.

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/

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 Bruce Cleveland, a venture capitalist, former CMO, Chief Executive Officer, engineering executive, author, and creator of the Market Engineering framework. Bruce has helped build and scale major technology companies including Oracle, Apple, Siebel, and C3 AI, and has invested early in companies such as Marketo, Workday, and Doximity before they became category-defining successes.The conversation explores what separates legendary technology leaders from average executives, why most startups misunderstand traction, and how market engineering can become the difference between burning capital and building enduring demand. Bruce shares behind-the-scenes lessons from working with leaders like Tom Siebel, why category creation requires naming and framing a problem, and how founders can create market appetite before pouring money into demand generation.Avetis and Bruce also discuss the future of AI, why expertise may become the ultimate moat, the rising importance of forward deployed engineers, and why product engineering alone is no longer enough. Bruce closes with insights from his books, including Traversing the Traction Gap and Market Engineering, offering founders and executives a practical roadmap for building markets that do not yet exist.TakeawaysLegendary companies rarely feel obvious while they are being built. Even inside Oracle's early days, the path forward was filled with uncertainty.Great leaders attract great talent by building a mission, culture, and problem worth committing to.Bruce's framework starts with naming and framing the problem so the market can understand, remember, and adopt the category.The best executives build deep networks that act like external sensors, helping them “see around corners.”Bruce invested early in companies like Marketo by focusing on business problems he understood before obvious market traction existed.Startups should not confuse product-market fit with market-product fit. The market must want what the product provides.In the AI era, expertise becomes more valuable because humans still provide judgment, context, accountability, and nuanced decision-making.Chapters00:00 Introduction to Bruce Cleveland01:02 Lessons from Oracle's Early Days03:50 What Great Founders and Leaders Still Get Right05:13 The Power and Difficulty of Category Creation10:22 Building a Category Without an Existing Brand13:33 Bruce's Three-Step Category Creation Framework18:30 Leadership Lessons from Tom Siebel24:13 What Separates Great Executives from Average Ones28:47 What Bruce Looks for as an Early-Stage Investor36:19 Market Engineering vs. Demand Engineering44:22 Testing Demand Before Overbuilding Product53:11 Why Expertise Is the Real Moat in the AI EraBruce Cleveland's Social Media Link:https://www.linkedin.com/in/brucecleveland/Bruce Cleveland's Website Link:https://www.tractiongappartners.com/Resources and Links:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podcast.hireclout.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.linkedin.com/in/hirefasthireright⁠

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

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.

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

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

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