Sumeet Arora, Chief Product Officer at Teradata, joins Tim Bond to discuss why the shift to autonomous enterprises demands far more than simply deploying AI agents. With Teradata serving major banks, retailers, and global organisations for over four decades, Sumeet explains how the traditional enterprise stack of hundreds of workflow-centric applications is evolving into knowledge fabrics that power agent layers with outcome-oriented interfaces.
The conversation explores Teradata's three competitive differentiators: efficient processing engines built for always-on agent workloads, true on-premises and multi-cloud capability that brings AI to where data lives, and industry knowledge models developed across 10 sectors that make agents enterprise-grade rather than experimental. Sumeet shares real examples, including SECI Brazil's 200% increase in credit offers without changing delinquency rates, and explains why 80% of AI projects are not moving from demos to deployment.
Timestamps
00:01:05 - Announcing Agent Builder: Teradata's platform for autonomous AI agents.
00:03:13 - The evolution to autonomous enterprise: from connected to digital to autonomous.
00:04:19 - How the enterprise tech stack is changing from applications to knowledge fabrics.
00:08:02 - Why starting with clear, measurable outcomes is essential for AI ROI.
00:11:04 - Foundation models: bring your own LLM or use Teradata's small, medium, large options.
00:12:02 - Agent builder layer: open-source integration with MCP server.
00:13:24 - User experience evolution: from workflow-oriented to outcome-oriented.
00:16:25 - Teradata's three competitive differentiators explained.
00:17:08 - Why agents never sleep: the efficiency advantage of always-on workloads.
00:18:00 - On-premises and multi-cloud: bringing AI to where your data actually lives.
00:20:17 - Industry knowledge models: data models across 10 industries developed over decades.
00:24:48 - Real customer examples: from credit risk to fraud reduction to compliance.
00:28:55 - Organisation readiness: training every employee to build and use agents.
00:31:13 - The people side: augmentation versus replacement in the AI era.
00:34:15 - Going back to basics: AI requires clean code, knowledge and data.
00:36:00 - The architecture conversation enterprises are not having yet.
Guest bio
Sumeet Arora is Chief Product Officer at Teradata, where he leads product strategy for one of the world's leading enterprise data and analytics platforms. With extensive experience at Cisco, building secure, affordable internet infrastructure and at ThoughtSpot, democratising data analytics for business users, Sumeet focuses on changing industries for the better. At Teradata, he is driving the evolution from data platforms to knowledge platforms that enable the autonomous enterprise.
Resources and links
Sumeet Arora on LinkedIn
Tim Bond on LinkedIn
Teradata Agent Builder information
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Tim Bond speaks with Carson Hostetter , who leads RingCentral's AI and customer experience strategy, about how voice technology is reshaping business operations from call centres to reception desks. RingCentral handles billions of minutes of voice annually across 500,000 customers globally. Their AI receptionist product launched in June 2024 and already serves over 3,000 customers, demonstrating strong market appetite for automated voice solutions.
The conversation explores two critical benefits. First, voice agents handle customer interactions naturally, without forcing callers through menu trees. Second, every interaction generates transcripts that reveal customer sentiment, sales opportunities, service gaps and product development insights. Carson explains why RingCentral partners with multiple AI providers including OpenAI, Google and AWS, maintaining an open platform rather than building proprietary models. The discussion covers implementation, from five-minute setup for small businesses to complex enterprise integration, and examines how AI enables market expansion rather than just cost reduction.
Topics covered
• Traditional IVR limitations versus natural language voice agents.
• Setting up AI receptionists in under five minutes with minimal configuration.
• Transcript analysis for sentiment tracking, opportunity identification and business intelligence.
• Open platform strategy with multiple AI providers versus proprietary models.
• Performance benchmarks and customer adoption rates since June 2024 launch.
• Use cases spanning reception, technical support and complex customer service.
• Future work patterns and the optimistic case for AI augmentation.
• Moving from defensive cost-cutting to offensive market expansion strategies.
• How small businesses and enterprises apply the technology differently.
Timestamps
00:00:00 Introduction and AI's competitive impact
00:05:23 RingCentral overview and market position
00:09:00 Evolution from ChatGPT moment to voice agents
00:15:17 Market readiness for AI solutions
00:17:50 Why voice AI is easier than traditional IVR systems
00:20:00 The data opportunity from call transcripts
00:25:27 Performance benchmarks and customer growth metrics
00:27:31 Use cases from reception to complex support scenarios
00:30:21 Why "AI receptionist" undersells the platform capability
00:32:31 Future patterns of work and employment outlook
00:36:22 Why choose RingCentral and how to get started
Guest bio
Carson Hostetter leads RingCentral's AI and customer experience strategy, bringing 26 years of communications industry experience. Starting with Nortel Networks in 1999, he joined RingCentral in 2016 to build and scale the company's enterprise business. After serving as Chief Revenue Officer for three and a half years, Carson now focuses on developing RingCentral's next generation of AI-infused communication solutions, ensuring practical customer outcomes whilst maintaining the company's open platform philosophy across partnerships with major AI providers.
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80% of software companies are zombies. After three decades guiding thousands of software founders through exits and acquisitions, Mark Edwards reveals the uncomfortable truth: most businesses exist in endless loops, neither thriving nor dying. In this episode, Mark shares what separates the 20% who succeed from the zombie majority. His verdict? Strategy beats everything else. The conversation explores how AI quadruples the number of software companies whilst collapsing barriers to entry. Mark warns that despite new technology, success still demands emotional intelligence, strategic positioning, and teams that balance technical, creative and commercial capabilities.
Guest bio
Mark Edwards brings three decades of experience in software company mergers and acquisitions. As founder of Boss Equity (established 1999), he has worked with thousands of software companies across document management, workflow automation and enterprise solutions. His pattern-matching across hundreds of exits reveals why most software businesses fail to escape mediocrity. Mark combines his early creative background in photography with deep commercial expertise to help founders understand strategic positioning and market dynamics.
Topics covered
• Why 80% of software companies exist as zombie businesses.
• The three-word answer to escaping mediocrity: strategy, strategy, strategy.
• Only 35% of companies actually know their competition.
• Less than 5% seeking investment successfully secure funding.
• How AI quadruples the number of software companies in five years.
• Why emotional connection, not features, drives B2B sales decisions.
• The danger of technical founders building companies in their own image.
• Barriers to entry collapsing through tools like Lovable.
• The need for cerebral diversity: creatives, strategists and technicians.
• CEOs as figureheads who make their teams look exceptional.
Timestamps
00:00:00 Mark's lifelong obsession with improvement
00:03:14 Building Boss Equity and international expansion
00:05:00 Pattern matching across thousands of companies
00:08:10 The 80% zombie company problem explained
00:10:00 Strategy as the only escape route
00:11:13 Understanding real competition and market positioning
00:16:00 Marketing failures and disconnected sales processes
00:18:17 Zombie loops and endless investment searches
00:19:48 Why less than 5% achieve institutional investment
00:22:32 AI creating the most exciting time in software
00:26:00 Barriers collapsing and competition intensifying
00:29:23 The rise of peer-to-peer funding models
00:32:00 Companies reaching hundreds of millions overnight
00:37:11 The need for cerebral diversity in teams
00:39:30 CEOs as figureheads who elevate their teams
00:41:05 The future of RPA and business operating systems
00:47:38 Psychology as the key to successful deals
Resources and links
• Mark Edwards on LinkedIn
• Tim Bond on LinkedIn
• Boss Equity – Mark's M&A advisory firm
• Lovable.com – No-code platform changing barriers to entry
Listen now
• Spotify
Related episodes
• Episode 74: Marketing in an AI-first world
• Episode 72: Building scalable software businesses
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The Financial Times has achieved 44% productivity gains in certain areas whilst maintaining their commitment never to replace journalists with AI. McKinley Hayden, who leads data value and strategy at the FT, reveals how they won Gen AI Initiative of the Year by focusing on values before technology. With over 2,000 active weekly users across their 3,500-strong workforce, the FT has built an implementation programme that measures emotions alongside capabilities, creating a network of departmental AI representatives who serve as two-way conduits for change. McKinley explains why simplicity matters when "the target is not fixed" and shares surprising examples where AI actually added time rather than saving it.
Topics covered
• How values and responsibility drive effective AI adoption at scale
• Building voluntary participation programmes that achieve 57% workforce engagement
• Why measuring emotions matters as much as measuring capabilities
• Creating AI playbooks for common tasks across all departments
• Where AI fails: when augmentation adds time instead of saving it
• Navigating constant change when implementation targets keep moving
• The power of departmental representatives as change agents
• Balancing quick wins with long-term transformation goals
Timestamps
00:01:44 – McKinley's role in data value and strategy at the FT
00:03:03 – The Financial Times' global presence and reach
00:04:10 – Winning Gen AI Initiative of the Year award
00:05:41 – Values-driven approach: why principles come first
00:10:47 – Thoughtful and responsible AI adoption strategies
00:13:55 – Results assessment: achieving 44% efficiency gains
00:17:29 – Survey methodology: measuring emotions and capabilities
00:22:25 – New CEO's focus on AI outcomes and priorities
00:24:17 – AI implementation programme structure and teams
00:27:29 – Complex AI versus simple augmentation approaches
00:31:56 – Demonstrating value to leadership and stakeholders
00:34:09 – Why the implementation target isn't fixed
Guest bio
McKinley Hayden leads data value and strategy at the Financial Times, where she has spearheaded the organisation's award-winning approach to AI implementation. Her work focuses on balancing technological innovation with the FT's core values of human-powered journalism. Under her leadership, the FT's AI programme has achieved significant adoption rates and productivity gains whilst maintaining a thoughtful, values-first approach. McKinley brings expertise in change management, data strategy, and organisational transformation to help traditional media organisations navigate digital evolution.
Resources and links
• Tim Bond on LinkedIn – podcast host and enterprise technology leader: https://www.linkedin.com/in/tngbond/
• McKinley Hayden on LinkedIn: https://www.linkedin.com/in/mckinleyhyden/
• Financial Times website: https://www.ft.com
• TechPros.io: https://techpros.io/
• Upcoming events and roundtables: https://techpros.io/virtual-experiences/
• Enterprise Thought Leadership community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/
Related episodes
• Episode 73: AI transformation in publishing
• Episode 69: Building data-driven cultures
• Episode 65: Change management in traditional industries
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A third of marketing teams struggle to extract real value from generic AI tools. Maria Liw, Global Head of Marketing at SimCorp, explains how structured AI training converted sceptical team members into confident practitioners, achieving 2-3x productivity gains whilst maintaining quality standards.
SimCorp serves financial institutions managing over $40 trillion in assets, with a marketing organisation of 30 to 40 people spanning global content, regional campaigns, events and brand. As CogniScale's first client, they pioneered a systematic upskilling approach rather than casual experimentation. The results sound almost unbelievable: 92% time reductions on industry interview writeups, 1100% productivity gains on specific tasks, and an overall 2-3x productivity increase across the team.
The conversation explores what changed when SimCorp moved from giving teams AI tools to experiment with, to designing structured training where participants worked on real projects during workshops. Maria shares how initial scepticism quickly transformed as team members experienced quality outputs and discovered AI could serve as a strategic thinking partner, not just a production tool.
Topics covered
• Why generic AI tools weren't delivering marketing value for SimCorp's team.
• Designing a pilot programme around real workflows and deadlines.
• The importance of slowing down initially to set up AI projects properly.
• Converting team scepticism into genuine enthusiasm through hands-on results.
• Using AI as a strategic partner and sounding board, not just a production tool.
• Building collaboration infrastructure as more teams adopt AI.
• Security, legal and compliance considerations when scaling AI adoption.
Advice for marketing leaders starting their AI transformation journey.
Timestamps
2:33 - Maria's background and SimCorp's marketing organisation06:38 - How Maria and Tim's collaboration began09:03 - Framing the pilot as a learning opportunity11:12 - Workshop experiences and hands-on learning13:43 - Participant reactions before and after training16:13 - Change management and team enthusiasm18:20 - Results: astronomical numbers that feel unrealistic21:10 - Stress relief and strategic thinking benefits23:16 - The importance of slowing down to move fast25:30 - Competitive advantage and future collaboration28:22 - Security, legal and compliance considerations29:56 - Advice for marketing leaders on AI adoption
Guest Bio
Maria Liw is Global Head of Marketing at SimCorp, a leader in investment management technology serving financial institutions that collectively manage over $40 trillion in assets. With over 30 years of experience in the FinTech industry spanning both buy and sell sides, Maria has held roles across all marketing disciplines. Most recently, she headed global digital and content before becoming head of marketing. Maria brings a unique perspective to AI adoption, having led SimCorp's marketing team through a structured transformation from AI experimentation to systematic capability building.
Resources and links
• Maria Liw on LinkedIn
• Tim Bond on LinkedIn
• SimCorp
• CogniScale (AI training)
• Upcoming Events and Roundtables
• Podcast community on LinkedIn
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"Agents are like enthusiastic employees who don't have a conscience and aren't afraid of getting fired." This stark warning from Oren Michels, CEO of Barndoor.ai, captures why enterprises desperately need governance for their AI workforce. With documented cases of ungoverned agents accidentally deleting entire code bases, the stakes couldn't be higher.
Drawing from his experience founding Mashery (acquired by Intel), Oren recognised that AI agents face the same governance challenges as APIs did 15 years ago – but with far greater risks. He reveals why Anthropic's MCP protocol lacks built-in security, explains the four critical vectors of agent security, and shares why Moderna's HR department is leading their AI agent strategy. For any organisation deploying AI agents, Oren's insights on treating them as digital employees rather than traditional software could mean the difference between transformation and catastrophe.
Guest bio
Oren Michels is CEO and co-founder of Barndoor.ai, pioneering security and governance for AI agents. Previously, he founded Mashery, an API management company acquired by Intel, where he served as GM of Intel's API Management Group. His experience scaling API governance to hundreds of enterprise customers now informs his approach to securing the next generation of digital workers.
Topics covered
• Understanding MCP and why agents need different protocols than traditional software
• The four vectors of agent security: agent identity, human identity, tool access, and tasks
• Why agents are "enthusiastic employees without a conscience"
• HR and IT collaboration to manage agents as digital employees
• Building platforms showing which humans achieve value from agents
• Documented failures: ungoverned agents deleting entire code bases
• Moderna's HR-led approach to AI agent deployment
• Evolution from internal use to cross-company agentic workflows
• Future implications for early career professionals
Key timestamps
00:00:00 – Introduction to securing AI agents
00:02:13 – Why API management patterns apply to AI agents
00:07:15 – MCP protocol and its security gaps
00:12:14 – What Barndoor does
00:20:06 – Documented failures and ungoverned agents
00:23:39 – Moderna's HR-led approach
00:26:09 – HRIS for the agent workforce
00:34:43 – Future of work and early career challenges
Resources mentioned
• Oren Michels on LinkedIn – CEO of Barndoor.ai
• Tim Bond on LinkedIn – Podcast host
• Barndoor.ai – AI agent security platform
• Intel – Acquired Mashery
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Full transcript available below.
A third of CMOs report little to no AI implementation in their organisations. Chris Daly's verdict? "You're gonna be history." In this episode, the CEO of the Chartered Institute of Marketing shares why marketing professionals must rapidly adapt or risk obsolescence. Drawing from his military background and leadership of this 113-year-old institution, Chris reveals how marketing can finally shed its "pens and t-shirts department" reputation to become the engine of business growth. We explore the critical balance between AI adoption and human creativity, examine WPP's 50% devaluation as a cautionary tale, and discover why some agencies now revise their AI policies every three months just to keep pace.
Topics covered
• Marketing's evolution from sales offshoot to business growth function.
• Why professional standards matter more than ever in the AI era.
• Four principles for ethical AI implementation in marketing.
• The hidden dangers of shadow AI when employees use personal licences.
• How bias in AI systems can damage customer relationships.
• WPP's challenges and what they signal for traditional agencies.
• Why CIM is considering traditional exams again, as AI can too easily complete assignments.
• The Global Professional Marketing Framework with 207 competency aspects.
• How treating AI as a colleague rather than a barrier preserves customer connection.
• Why continuous learning is the only survival strategy for marketers.
Timestamps
00:00:34 CIM's 113-year journey from sales to chartered status
00:02:44 From military values to marketing leadership
00:05:29 Professional qualifications: university to C-suite journey
00:14:00 The AI changes in marketing education
00:17:35 Four principles for ethical AI: integrity, quality, transparency, awareness
00:21:00 Breaking free from the "pens and t-shirts department" perception
00:26:00 Five brand risks of generative AI adoption
00:29:55 Shadow AI: when employees go rogue with personal licences
00:33:41 Global Professional Marketing Framework for organisations
00:37:16 WPP's value loss and agency changes
00:41:14 One habit every marketer needs: staying current
Guest bio
Chris Daly is CEO of the Chartered Institute of Marketing, the world's largest professional body for marketing with over 30,000 members globally. A former military officer, Chris brings principles of trust, ethics and professionalism from his service background to marketing leadership. He champions marketing as a business growth function and leads CIM's mission to professionalise an industry navigating AI changes.
Resources mentioned
• Chartered Institute of Marketing - newly redesigned website with qualifications, training and frameworks
• Gartner CMO research February 2024 study on AI adoption
• EU AI Act passed March 2024
• WPP investor information context on recent valuation changes
• IBM partnership for AI training (via CIM website)
• Global Professional Marketing Framework launching November 2024 at World Marketing Forum
• CIM's four principles for ethical AI use in marketing
• Marketing Cloud, CIM's bridge programme between university and first career
Related episodes
• Episode 68: AI changes in enterprise marketing
• Episode 71: Building ethical frameworks for business AI adoption
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Transcript
A full transcript of this episode is available below for accessibility and reference.
This episode was recorded in July 2024. AI developments and statistics may have evolved since recording.
Tim Bond speaks with Rich Waldron, CEO of Tray.ai, who since 2012 has been building the infrastructure that allows AI agents to truly operate within enterprises. Rich explains the difference between AI's reasoning capabilities (the brain) and its ability to take action across systems (the body), and why this distinction matters for organisations implementing agentic technologies.
The conversation explores why 60% of early AI projects fail, the importance of specialised agents over "everything agents", and how companies can avoid common pitfalls. Rich shares insights from over a decade of connecting 800+ applications and databases, revealing what separates successful implementations from costly failures.
Key topics covered:
• Understanding the body and brain concept in AI agents
• Why specialised agents outperform generalised ones
• Design principles for avoiding hallucinations
• Building cross-functional teams for AI success
• The shift from traditional software to constantly evolving agents
• The opportunities for young professionals to build our agentic future
Timestamps:
00:00:00 Introduction to agentic workflows
00:01:49 Rich's journey from university to founding Tray.ai
00:05:38 Early recognition of AI's potential
00:07:48 What is an integration platform as a service (IPaaS)?
00:11:31 The body and brain concept explained
00:14:39 Tools vs knowledge in agent design
00:19:21 Over 800 connectors and growing
00:22:15 Human-in-the-loop considerations
00:25:01 Addressing hallucinations in business processes
00:31:00 Getting started with agentic implementation
00:38:00 Growth strategy and market approach
00:42:47 Competitive advantages and future outlook
00:45:11 Advice for young professionals entering the workforce
Want to learn more?
Visit Tray.ai's website: https://tray.ai
Connect with Rich Waldron on LinkedIn: https://www.linkedin.com/in/richwaldron/
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
If you like our podcast, please do follow us and rate each episode.
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Bryan Murphy, CEO of Smartling, shares how his company evolved from a software-focused translation provider into an AI-enhanced platform that delivers eight times more content for the same budget. Having joined just before ChatGPT's launch, Bryan led a product overhaul achieving 64% revenue growth whilst quadrupling translator productivity.
The conversation explores Smartling's journey from neural machine translation to multi-layered AI workflows that solve quality, fluency, and cultural adaptation challenges. Bryan explains their multi-model approach, automated quality assurance systems, and how they help companies like IHG Hotels, British Airways, and IBM translate content at scale.
Bryan also reveals why implementing AI across internal operations proved more challenging than the product changes themselves. He shares specific examples from leading company-wide change, the importance of dedicated resources, and why CEOs must be prepared for their initial AI plans to fail and require iteration.
Timestamps:
01:58 Bryan's background and eBay Motors experience
02:24 Joining Smartling and the ChatGPT moment
03:18 Company's tech-forward foundation
04:02 From neural machine translation to AI translation
07:04 Current product architecture and workflow
09:22 Multi-model approach and benchmarking
11:28 4× productivity gains for translators
13:04 8× content for same budget achievement
14:58 Customer case studies and industries served
16:35 Internal AI challenges across departments
19:05 Sales team doubles productivity
20:42 Build vs buy debate and last mile complexity
25:47 Customer journey and onboarding process
28:22 Action steps for enterprise leaders
Want to learn more?
Visit Smartling website: https://www.smartling.com/
Connect with Bryan Murphy on LinkedIn: https://www.linkedin.com/in/bryanmurphy2/
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/ Email tim.b@techpros.io
If you like our podcast, please do follow us and rate each episode.
Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.io
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Software development is experiencing substantial changes as AI tools alter how teams build, test, and deploy applications. Kyle Hauptfleisch, Chief Growth Officer at Daemon, explores how organisations can successfully navigate these changes without losing the human element that makes great software possible.
Kyle brings extensive experience across technology publishing, advertising, core banking, and now leads digital change initiatives at a boutique consultancy. He explains why the current discourse around AI in development divides experienced engineers, and shares practical insights from Daemon's AI-first squad approach.
The conversation covers:
• Why AI should augment rather than replace human decision-making in software development
• The essential role of stakeholder engagement in AI adoption projects
• How AI can improve the entire software development lifecycle from requirements gathering through to documentation
• The motorcycle versus bicycle analogy: why using AI requires changing how you work
• Moving from orchestra member to conductor: the shift in engineering roles
• Performance metrics that demonstrate real progress: lead time from whiteboard to production
• Daemon's AI-first squad methodology and how it works with client teams
• Three practical steps technology leaders can take to embrace AI-first engineering
Kyle addresses the tension between developers who see AI as creativity-killing automation and those embracing the acceleration it provides. He argues that engineering stops when coding starts - highlighting how AI can handle the production work whilst humans focus on problem-solving and design.
Timestamps:
02:23 Kyle's background and journey to Daemon
03:28 What Daemon does as a digital and AI consultancy
04:38 The current state of AI adoption in software development
07:25 Framework for AI adoption: strategy, data, culture, and applications
09:31 Stakeholder engagement challenges and solutions
11:32 AI-first squads: the core proposition and methodology
12:07 Performance metrics and measuring success
13:18 How AI helps across the software development lifecycle
14:19 Medical organisation case study: turning data into information
14:30 AI in coding: solving problems that have been solved before
18:10 Documentation and unexpected use cases like case study generation
20:32 The motorcycle versus bicycle analogy
21:26 Deploying AI-first squads versus changing engineering capability
25:58 Three actions for technology leaders to embrace AI-first engineering
Want to learn more?
Visit Daemon's website: http://dae.mn
Connect with Kyle Hauptfleisch on LinkedIn: https://www.linkedin.com/in/kyle-hauptfleisch-84ba2357/
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
Email tim.b@techpros.io
If you like our podcast, please follow us and rate each episode. Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.io.
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Tim Bond explores the substantial shift happening in graduate employment as companies increasingly prioritise "AI natives" over traditional degree holders. This episode examines how the conventional university-to-job pipeline is fracturing and what this means for students, parents, and educators navigating an uncertain future.
Using insights from leading experts including Sam Altman from OpenAI, alongside research from McKinsey, the World Economic Forum, Microsoft, and LinkedIn, this episode unpacks the emergence of "AI-first hiring" and its implications for the next generation entering the workforce.
Key topics covered:
• Why 66% of business leaders won't hire candidates without AI skills
• The "chasm challenge" - the dangerous gap between job displacement and job creation
• How major consulting firms like McKinsey are reducing their graduate intake
• The decline in confidence in higher education
• Alternative pathways emerging beyond traditional degrees
• Essential skills for succeeding in an AI-augmented workplace
• Practical strategies for future-proofing your career
The episode reveals both concerning realities and also opportunities for those who understand and adapt to these changes. From the rise of apprenticeships at companies like IBM and Microsoft to the growing importance of hybrid skills that combine AI fluency with uniquely human capabilities, this episode provides a roadmap for navigating the changing employment landscape.
Timestamps:
• 02:09 The emergence of AI-first hiring practices
• 04:00 Data on employer preferences for AI skills
• 06:00 New job categories and roles being created
• 07:00 Understanding the "chasm challenge"
• 09:00 Adapting to exponential change
• 11:00 The education system's struggle to keep pace
• 13:00 Alternative pathways to traditional education
• 17:00 Essential skills for the AI-augmented workplace
• 20:00 Seven-step roadmap for career future-proofing
• 24:00 Final thoughts and call for perspectives
Want to learn more?
Listen to the AI Daily Brief - 20 New jobs AI might create - https://open.spotify.com/episode/3IubJxqwd3ZF9KSuHs8mw0
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
If you like our podcast, please follow us and rate each episode. Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.io
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Upcoming events and roundtables: https://techpros.io/virtual-experiences/
Follow us on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/
Tim Bond tackles the widespread confusion around "AI-first" by examining what this approach actually means versus the fearful narratives dominating headlines. Using Google's NotebookLM to create an engaging dialogue, this episode unpacks Tim's recent article and extensive research to separate fact from fiction.
The discussion explores how companies like Duolingo and Klarna created unnecessary panic with poorly communicated ‘AI-first’ strategies, whilst organisations like SimCorp achieved outstanding results through teamwise upskilling. Rather than mass redundancies, AI-first represents a shift in workflow sequence - engaging with AI tools at the start of any task to handle initial research, drafting, and analysis and building AI assistants and consultants to automate parts of workflows.
Key topics covered:
• The actual definition of AI-first as workflow sequencing, not human replacement
• SimCorp's case study showing 600% productivity gains without job losses
• Why AI-first functions as "cognitive ergonomics" for modern knowledge work
• Research findings from Microsoft, McKinsey, PWC, and World Economic Forum
• How entry-level roles are evolving rather than disappearing
• The importance of upskilling and employee training programmes
• Why early adopters see 122% cashflow increases whilst laggards face 23% losses
Timestamps:
02:00 - What AI-first actually means
03:52 - Why workflow sequence matters
05:26 - The cognitive ergonomics analogy
07:02 - SimCorp case study results 0
9:09 - Economic impact and growth opportunities
11:00 - Entry-level role development
12:24 - Skills development requirements
13:32 - Competitive advantages for early adopters
15:25 - Employee satisfaction at AI-advanced companies
16:21 - Investment priorities for successful implementation
Want to learn more? Visit Network Sunday website: https://networksunday.com and cogniscale.info
Connect with Tim Bond on LinkedIn: https://www.linkedin.com/in/tngbond/
If you like our podcast, please do follow and rate us.
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Tim Bond examines a disconnect that's currently shaping the sprouts of AI transformation through analysis of two reports that have recently been published. Signal Fire's State of Talent Report reveals entry-level hiring at major tech companies has dropped 50% from pre-pandemic levels, while Ethan Mollick's "Making AI Work" research explains why individual workers achieve three times productivity gains with AI, yet companies see minimal organisational impact.
This analysis reveals the emergence of "secret cyborgs" - employees who use AI to change their work but conceal these capabilities from their employers. Meanwhile, the traditional talent pipeline that builds future workforces is showing signs of collapsing, creating what may be one of the most substantial organisational challenges of our time.
With help from Anthropic and Google Tim synthesizes the reports and an AI podcast dissects why 40% of workers use AI privately while only 20% adoption rates are officially recorded, the breakdown of traditional career progression models, and the geographic shifts occurring as AI talent clusters in new locations. The episode examines Mollick's three-pillar framework - Leadership, Lab, and Crowd - for capturing productivity gains at scale.
Main findings include:
• How workers are tripling productivity on specific tasks while organisations capture little or no value
• Why entry-level hiring has collapsed across major tech companies and startups
• The experience paradox: companies demand experience but provide no pathway to gain it
• Geographic talent migration driven by AI opportunities and hybrid work preferences
• Strategies for converting secret cyborgs into organisational benefits
Timestamps
00:00 Introduction and report overview
02:08 Analysis begins: Individual versus organisational AI impact
03:26 Individual productivity gains: Danish study and American survey findings
04:25 The corporate disconnect: 20% official adoption versus 40% actual usage
05:09 Secret cyborg phenomenon: Why workers hide AI capabilities
06:20 Organisational design challenges: Systems built for human-only work
07:22 Task versus job automation: The £50,000 research report example
08:20 Workforce change without permission: Professional adoption rates
08:58 Signal Fire data: 50% drop in entry-level hiring across tech
09:36 Geographic shifts: Austin, Miami, and AI talent clustering
10:19 Leadership challenges: Industrial age thinking versus AI hybrid reality
11:41 Talent pipeline crisis: The broken pathway to experience
13:33 Long-term compound effects of neglected talent development
14:11 Anthropic's retention success: Culture and autonomy as differentiators
15:24 Mollick's framework: Leadership, Lab, and Crowd orchestration
16:20 Laboratory approach: Beyond research towers to practical scaling
17:21 The crowd element: Rational secret cyborgs and sharing incentives
18:21 Practical recommendations: Creating transparent AI environments
19:38 Concrete actions: Benchmarks, provocations, and rewards
20:35 The real challenge: Technology ahead of organisational structures
21:29 Conclusion: Building trust and environments for shared AI development
Want to learn more? Access your complimentary AI Acceleration Report from CogniScale - email Tim Bond at tim.bond@networksunday.com
Read Signal Fire's State of Talent Report 2025: https://www.signalfire.com/blog/signalfire-state-of-talent-report-2025
Read Ethan Mollick's "Making AI Work": https://www.oneusefulthing.org/p/making-ai-work-leadership-lab-and?triedRedirect=true
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
If you like our podcast, please follow us.
Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.io. Find out more about TechPros.io: https://techpros.io/
Upcoming Events and Roundtables: https://techpros.io/virtual-experiences/
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Tim Bond speaks with Pierre Kremer from Globant about how modern retail architecture creates unified shopping experiences. Pierre shares his expertise on helping retail clients implement technical architectures that support their business models whilst providing excellent customer experiences.
Pierre explains how the retail sector has moved beyond traditional e-commerce into unified commerce, where physical and digital shopping experiences work together. He outlines Globant's retail vision based on five key pillars: convenience, consistency, relevance, empowerment, and flexibility.
The conversation covers composable architecture and how retailers are moving from monolithic systems to more adaptable, API-driven approaches that accelerate development cycles. Pierre shares real-world examples of advanced checkout experiences, including the LA Clippers' Intuit Dome arena with facial recognition entry and Uniqlo's RFID-equipped checkout system that eliminates item scanning.
They also discuss the ROI challenges of certain retail AI applications, the importance of accurate inventory data between online and physical stores, and how blockchain supports better supply chain traceability and sustainability initiatives.
• The progression from e-commerce to unified commerce
• Composable vs monolithic architecture approaches
• Advanced checkout systems like remote payment processing
• AI applications in retail and which ones provide real value
• How retailers can reduce technology costs and time-to-value
• Future retail trends focused on sustainability and personalisation
Timestamps
01:41 Introduction to modern retail architecture
03:21 Pierre's background and experience
05:07 Globant's Retail Studio vision
07:23 Composable vs monolithic architecture
10:20 Real-world case studies of advanced checkout experiences
14:11 Connecting online and in-store experiences
17:50 AI applications and challenges in retail
21:34 Critical data handoffs between store and online
23:51 Essential business outcomes from modern retail architecture
25:14 Blockchain applications in retail
28:08 Future retail trends and sustainability
32:27 Advice for new technical leaders
Want to learn more?
Visit Globant's website: https://www.globant.com/
Connect with Pierre Kremer on LinkedIn: https://www.linkedin.com/in/pierrekremer
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
If you like our podcast, please do follow us and rate each episode.
Do you have burning topics or questions you'd like us to explore on the podcast?
Email our team at podcasts@techpros.io
Find out more about TechPros.io: https://techpros.io/
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Join our budding podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/
Tim Bond speaks with Josh Mackenzie, Founder and Chairman of Development Beyond Learning, about how the transition from AI literacy to AI fluency is reshaping skill requirements for graduates and early career talent. Josh explains why human skills become more essential as AI tools become more prevalent in the workplace.
Josh shares:
Timestamps:
00:00:17 Introduction and topic overview
00:02:00 Job predictions and the impact of AI on employment
00:04:43 Key skills for early talent in an AI-augmented workplace
00:07:25 The difference between AI literacy and AI fluency
00:11:50 University education value in the AI era
00:14:22 Changing graduate recruitment approaches
00:18:27 Self-awareness and resilience as critical skills gaps
00:21:47 Common AI usage traps to avoid
00:23:43 Development Beyond Learning's vision and AI innovations
00:29:04 AI-enabled personalised learning solutions
Want to learn more?
Visit Development Beyond Learning website: https://www.developmentbeyondlearning.com
Connect with Josh Mackenzie on LinkedIn: https://www.linkedin.com/in/josh-mackenzie-92795710/
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
Reid Riffs - AI on education https://podcasts.apple.com/cm/podcast/reid-riffs-on-pbcs-jobs-and-automation-and-ai-access-for-kids/id1677184070?i=1000708426358&l=en-GB
2025:The Year the Frontier Firm Is Born - https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born
If you like our podcast, please do follow us and rate each episode.
Do you have burning topics or questions you'd like us to explore on the podcast?
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Tim Bond sits down with Ilana Esterrich, Chief Financial Officer of Planned Parenthood Federation of America, to explore the evolving role of finance professionals. They discuss how financial leaders are transitioning from number-crunchers to strategic partners, and why tomorrow's CFOs might be the CEOs of the future.
Join the conversation as Ilana shares insights on:
• Why finance professionals must develop human skills beyond technical expertise
• How automation and AI can address critical time challenges
• The increasingly non-linear nature of finance careers
• Why understanding cross-functional operations is essential for finance leaders
• The shift from CFO to CEO rather than COO
• Navigating volatility in today's uncertain business environment
This episode is brought to you by Rillion, accounts payable automation that fits your workflow. Rillion's platform helps finance teams capture every invoice, route approvals, and pay vendors in a single click, processing over 40 million invoices a year for 3,000+ organisations. Visit rillion.com to learn how effortless accounts payable can be.
Timestamps:
00:02:06 The changing role of finance professionals
00:04:22 Why human skills matter for CFOs
00:06:42 Career aspirations and challenges for finance professionals
00:08:43 Navigating volatility in today's business climate
00:11:27 Creating time through automation and technology
00:13:39 The role of AI in finance operations
00:19:40 Technology innovation opportunities in finance
00:22:51 Skills needed for tomorrow's finance professionals
00:25:33 The evolution from CFO to CEO
Want to learn more?
Connect with Ilana Esterrich on LinkedIn: https://www.linkedin.com/in/ilanaesterrich/
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
If you like our podcast, please do follow us and rate each episode.
Do you have burning topics or questions you'd like us to explore on the podcast?
Email our team at podcasts@techpros.io
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Tim Bond shares insights from Microsoft's 2025 Work Trend Index annual report, which introduces the concept of the "frontier firm" - organisations structured around on-demand intelligence and powered by hybrid teams of humans and AI agents.
This report, based on surveys with over 31,000 workers across 31 countries, reveals we're entering a new phase where intelligence is becoming available on tap - abundant, affordable and available on demand.
Join Tim as he explores:
• The three phases of workplace transformation with AI: from assistant to human-agent teams to human-led, agent-operated processes
• How 82% of leaders see 2025 as a pivotal year for rethinking strategy and operations
• The capacity gap between increasing business demands and limited human capacity
• Why workers in "frontier firms" report 71% higher thriving rates compared to 37% globally
• The emerging role of the "agent boss" who oversees AI systems rather than doing tasks directly
• Real-world examples of companies already seeing concrete results from this approach
Timestamps
00:26 Introduction and overview of the episode
02:16 Beginning of the deep dive into the 2025 Work Trend Index report
03:17 Intelligence on tap concept and frontier firms explained
04:18 The 82% of leaders viewing 2025 as a pivotal year
05:44 The capacity gap and workplace fragmentation
07:05 The shift from doing tasks to managing AI agents
07:34 Three phases of becoming a frontier firm
08:52 New vocabulary for the new world of work
10:35 Leaders' priorities for adapting workforce strategies
12:01 Employee sentiment in frontier firms vs traditional companies
12:48 Real-world examples of AI implementation across industries
13:40 The work chart concept vs traditional org structures
15:10 Why employees sometimes prefer AI over colleague collaboration
16:10 Skills needed to work effectively with AI as a thought partner
17:32 The agent boss mindset and its career implications
18:04 Balancing AI literacy with uniquely human skills
Want to learn more?
Read the full Microsoft 2025 Work Trend Index report: https://www.microsoft.com/en-us/worklab/work-trend-index/2025-the-year-the-frontier-firm-is-born
Get your FREE AI Opportunity report - Survey your sales and marketing team take CogniScale's 10 minute AI opportunity survey and receive a free customised report that pinpoints where they can learn to build no code, no integration AI assistants to augment their workflows and lift productivity by 300% or more. https://cogniscale.info/
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
If you like our podcast, please follow us and rate each episode. Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.io.
Find out more about TechPros.io: https://techpros.io/
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Join our podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/
Tim Bond speaks with Latane Conant, Chief Revenue Officer at 6sense, about their recent product launch of intelligent workflows and how AI is reshaping sales and marketing efficiency. Latane shares insights on 6sense's evolution from an AI platform that uncovers the "dark funnel" to one that enables marketers to orchestrate ideal buyer journeys based on behavioural signals and intent data.
Timestamps
01:48 Introduction to Latane Conant and 6sense
02:11 6sense's founding story and evolution as an AI company
03:12 From the "dark funnel" to orchestrating buyer journeys
04:22 New product launch: intelligent workflows and email agents
07:17 The importance of people and process in technology adoption
09:07 Building certifications and community for product adoption
11:31 Sales and marketing measurement beyond MQLs
14:21 The role of salespeople in prospecting
17:15 How 6sense helps marketing teams demonstrate value
22:19 The concept of "locker room time" in sales and marketing
25:03 The vision for automation and personalisation with AI
27:29 How AI can minimise administrative tasks and increase productivity
31:52 The changing skills needed for sales and marketing teams
34:33 Triangulating between AI and traditional approaches
36:29 Key takeaways from the conversation
Want to learn more?
Visit 6sense's website: https://6sense.com/
Connect with Latane Conant on LinkedIn: https://www.linkedin.com/in/latane-conant/
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
If you like our podcast, please do follow us and rate each episode.
Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.io
Find out more about TechPros.io: https://techpros.io/
Upcoming Events and Roundtables: https://techpros.io/virtual-experiences/
Join our budding podcast community on LinkedIn: https://www.linkedin.com/company/enterprise-thought-leadership/
In this episode, Tim Bond speaks with Thomas Power, co-founder of Ecademy (the first-ever social business network), formed in 1998 about the parallels between the dot-com boom of the late 1990s and today's AI revolution. Drawing on his 40 years experience in the tech sector and deep knowledge of current trends, Thomas shares his perspective on how AI will transform business and society.
Timestamps:
01:05 Thomas's experience launching Ecademy, the first social business network
04:31 Reviewing Thomas's past predictions and their accuracy
13:50 The "open, random, supportive" vs "closed, selective, controlling" paradigm
17:19 AI revolution and comparison to the dot-com era
28:40 Infrastructure challenges: chips, data centres, talent and energy
31:38 Model Context Protocol (MCP) and AI systems integration
37:24 The impact of AI on software and enterprise applications
46:51 Bold predictions for AI in governance and society
52:15 The future of education in an AI-powered world
1:01:00 The current state of cryptocurrency and blockchain adoption
1:25:57 The story behind BIP 100, Thomas's business mastermind group
Want to learn more?
Visit the Genius Group website: https://www.geniusgroup.net/
Connect with Thomas Power on LinkedIn: https://www.linkedin.com/in/thomaspower/
Twitter: https://x.com/thomaspower
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
Visit Cogniscale: https://cogniscale.info
📚 Books
• Battle of the Portals (1999) -- Thomas Power
https://www.amazon.com/Battle-Portals-George-Jerjian-Thomas/dp/0953762300
• Megatrends -- John Naisbitt
https://www.amazon.com/Megatrends-John-Naisbitt/dp/0356102092
• The Popcorn Report -- Faith Popcorn
https://www.amazon.com/Popcorn-Report-Hardcover-August-1991/dp/B010EV38O4
• Business Is Personal (2018) -- Penny Power
https://www.amazon.com/Business-Personal-Leader-Your-Life/dp/1784521523
• The Power of You -- Hannah Power
https://www.amazon.com/Power-You-powerful-personal-establish/dp/1781334331
• The DOSE Effect -- T.J. Power
https://www.amazon.com/DOSE-Effect-Self-Healing-Mind-Body-Hormonal-Connection/dp/0063421879/
🧠 Concepts
• AGI (Artificial General Intelligence)
https://en.wikipedia.org/wiki/Artificial_general_intelligence
• MCP (Model Context Protocol)
https://www.anthropic.com/news/model-context-protocol
• Singularity (Technological Singularity)
https://en.wikipedia.org/wiki/Technological_singularity
• Fusion Power
https://en.wikipedia.org/wiki/Fusion_power
• Quantum Computing
https://en.wikipedia.org/wiki/Quantum_computing
If you like our podcast, please do follow us and rate each episode.
Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.io
Find out more about TechPros.io: https://techpros.io/
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In this episode, Tim Bond explores the newly released AI 2027 report, which forecasts the rapid evolution of artificial intelligence and its far-reaching implications for enterprises. The report, authored by five leading AI professionals including a former OpenAI researcher, examines how AI could change from today's assistants to autonomous agents with potentially superhuman capabilities by 2027.
Explore this special AI 2027 report breakdown, featuring:
This 24-minute audio analysis was created using Google's Notebook LM to extract the most valuable insights for business leaders from the provocative AI 2027 report.
Timestamps:
00:00:44 Overview of the AI 2027 report authors
00:01:42 Timeline from AI assistants to autonomous agents
00:04:13 Early autonomous agent limitations and adoption
00:06:50 Investments in AI infrastructure
00:08:48 Workforce change timeline
00:10:07 The "skills paradox" in technical fields
00:10:55 Advanced AI systems and human expertise
00:14:00 Economic and market implications
00:15:17 Silicon Valley's AI tipping point
00:16:20 Acceleration of product development cycles
00:18:51 Geopolitical context: US-China AI race
00:20:20 Escalating tensions and business impacts
00:22:53 Practical enterprise adoption of AI
00:26:05 Conclusion and next steps
Want to learn more?
Visit the AI 2027 report website: https://ai-2027.com/
FREE AI productivity report: https://cogniscale.info/ contact us: https://cogniscale.info/contact
Connect with Tim Bond: https://www.linkedin.com/in/tngbond/
If you like our podcast, please do follow us and rate each episode. Do you have burning topics or questions you'd like us to explore on the podcast? Email our team at podcasts@techpros.io
Find out more about TechPros.io: https://techpros.io/
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