AI and the Future of Work: Artificial Intelligence in the Workplace, Business, Ethics, HR, and IT for AI Enthusiasts, Leaders and Academics

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Amit Bendov is the co-founder and CEO of Gong, the revenue AI platform he started in 2015 after realizing that traditional CRM systems tracked outcomes but failed to explain why deals were won or lost. That insight led him to focus on customer conversations as the missing source of truth in sales. Since its founding, Gong has raised more than $580 million and reached a valuation of $7.25 billion. Today, Gong helps sales teams reduce manual work, improve performance, and better understand what customers are actually saying.
In this conversation, we discuss:
Why traditional CRM systems track what happened but fail to explain why deals are won or lost, and how that gap led to the rise of Revenue AI as a new category.
How Gong’s Revenue AI differs from CRM by analyzing sales conversations, reducing manual admin work, and actively helping sellers prepare, follow up, and improve performance in real time.
The emotional cost of sales work, and how using AI to remove administrative burden improves both sales results and seller job satisfaction.
What it takes to build trust in AI tools that analyze customer conversations, including data stewardship, transparency, and delivering clear value to sellers.
How an AI-first product vision can exist years before the technology is ready, and what it means to design systems for autonomy rather than simple automation.
The reality behind “overnight success,” including early product-market fit tests, paid pilots that felt risky, and navigating growth slowdowns without abandoning the original vision.
Resources:
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Connect with Amit on LinkedIn
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Other episode mentioned in the show:On AI Design Philosophy and Building the Anti-PowerPoint with Grant Lee, CEO of Gamma

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Kimberly Williams is CEO of Absorb Software, where she helps over 3,000 organizations deliver smarter learning experiences to 34 million employees. She brings decades of leadership in enterprise tech and now sits at the center of how AI is changing the way people grow at work. In this episode, Kimberly shares how learning becomes more powerful when it’s personalized, embedded in daily workflows, and led by curious teams who treat culture as a competitive advantage.
In this conversation, we discuss:
How AI is shifting corporate learning from generic training programs to personalized, in-the-flow development tailored to each employee’s needs.
Why in-context learning matters more than traditional courses, and how AI coaching inside tools like Slack, Salesforce, or ServiceNow changes how people actually learn at work.
What it means to turn L&D teams into AI model trainers who encode company culture, values, and knowledge into coaching experiences.
How Absorb Software tracks AI usage across teams and uses dashboards and leaderboards to drive internal adoption.
The role of outcome data in modern learning systems, and how tying learning directly to performance metrics changes what training gets delivered.
The advice Kimberly gives early-career talent, especially women, about finding roles where their contributions are measurable and their growth is supported by culture, not just credentials.
Resources:
Subscribe to the AI & The Future of Work Newsletter
Connect with Kimberly on LinkedIn
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Dr. John Boudreau, future of work pioneer and former Cornell professor, discusses the new definition of work

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Henrik Werdelin is a founder and investor who has spent more than a decade building companies at the intersection of culture, technology, and consumer behavior. He co-founded BARK, the public company that redefined how millions of dog parents connect with their pets, and Prehype, the startup studio behind brands like Ro and Audos.
In this episode, Henrik explores how founders can embrace AI without losing human connection, drawing from his experience as co-host of Beyond the Prompt and co-author of Me, My Customer and AI.
Recognized by Fast Company and Business Insider for his creative impact, Henrik shares a practical perspective on building companies that scale while staying deeply human.
In this conversation, we discuss:
Why Henrik believes founders must stay close to users and how AI can deepen (not dilute) human connection.
What “building companies at the edge of culture” means and why authenticity beats scale when designing for trust.
How Henrik and his team use AI to speed up product development without compromising on creativity or purpose.
The shift from storytelling to “storylistening” and how paying attention to customer behavior shapes better products.
What the best founders get wrong about generative AI and why Henrik advocates for a more mindful approach to adoption.
How roles inside companies are evolving in response to AI and what leaders can do to support creative experimentation.
Resources:
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Connect with Henrik on LinkedIn
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How to Use Generative AI to Get Ahead In Your Career

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Kelly Jones is Chief People Officer at Cisco, where she leads the people strategy for more than 84,000 employees worldwide. Over nearly two decades, she has helped make Cisco a global benchmark for workplace culture. In this episode, Kelly explains why trust is the foundation of every AI strategy, how Cisco is equipping managers for an era of augmented work, and what it takes to lead responsibly when the pace of change is this fast.
In this conversation, we discuss:
Why trust is Cisco’s most valuable workplace currency and how it shapes decisions about AI, culture, and leadership.
How AI becomes a co-pilot when employees are given the safety, training, and time to explore new tools at their own pace.
What “super leadership” looks like and the four traits Cisco’s CPO believes will define successful managers in an AI-augmented workplace.
How Cisco evaluates AI use cases based on disruption, scale, and their potential to enhance the employee experience.
Why the real opportunity of AI lies in automating administrative work to give humans more time for purpose, creativity, and connection.
The systems Cisco is building to ensure responsible AI use through governance, upskilling, and clear ethical boundaries.
Resources:
Subscribe to the AI & The Future of Work Newsletter
Connect with Kelly Jones on LinkedIn
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Other episode mentioned in the show: AI as a Liberating Technology: Josh Bersin on Turning Routine Tasks into Superworkers Driving Trust, Creativity, and Growth

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Eric Cheng is co-founder and CEO of Jobright, the AI career copilot serving more than 550,000 users. After building core backend systems at Box and scaling Fangcloud to acquisition, he turned his focus to fixing what’s broken in hiring. His perspective blends engineering depth with a human-centered approach to matching talent and opportunity.
In this conversation we discussed:
Why Eric created Jobright after interviewing 150 young professionals and discovering a gap in personalized job search support.
How Jobright reframes hiring as a “matching” problem and uses AI to function more like a career coach than a job board.
The limitations of keyword-based search tools and how AI enables more nuanced, human-like job matching.
Why building trust matters in AI-powered hiring platforms and how Jobright balances efficiency with authenticity and accuracy.
What the “learning loop” means for job seekers and why Eric believes the mindset shift matters more than the résumé.
How emerging roles like AI operations and forward deployment engineers reflect deeper changes in how organizations adopt and manage AI.
Resources:
Subscribe to the AI & The Future of Work Newsletter
Connect with Eric Cheng on LinkedIn
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