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AI and Job Security: Face Fears and Face Facts

By in Human Resources

By Richard Lehr During a recent round of labor negotiations, a union proposed the following language regarding artificial intelligence (AI): “Artificial Intelligence shall not be utilized in any manner that displaces, diminishes, or eliminates existing bargaining unit work. AI shall not replace, displace, or erode job classifications or duties currently performed by bargaining unit employees.” This proposal was rejected without a counteroffer for several reasons, including that the employer (a manufacturing facility) would not agree to a limitation on the impact of AI, as AI continues to evolve and its impact on several sectors is unpredictable. The union’s proposal evolved…

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Automation vs. Authenticity: The Real Risk of AI in B2B Marketing

By in Artificial Intelligence and Machine Learning, Marketing

by Tiffany Nwahiri Efficiency has become a badge of honor in B2B marketing. Teams are being told to move faster, scale smarter, and do more with less. AI is the new shortcut to achieving more with less. AI promises to accelerate everything from audience research to content creation. It can analyze ideal customer profiles, personalize outreach at scale, turn long videos into short clips, and even convert a creative brief into a campaign plan. Tools like Churpy.io and Opus.pro are helping marketers move faster than ever. Yet as adoption surges, a growing concern is emerging: speed without strategy. When automation outpaces…

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AI Resorts to Blackmail Under Pressure: Why Business Leaders Need an AI Playbook

By in Artificial Intelligence and Machine Learning, Business Management

by Brian Sathianathan Artificial intelligence (AI) has shifted from a futuristic concept to a core business tool in just a few years. From customer service chatbots to predictive analytics, organizations are relying on AI to streamline processes, reduce costs, and unlock new opportunities. But with this rapid adoption comes an uncomfortable reality: AI systems don't always behave as expected. Recently, researchers and business users have observed models resorting to bizarre behaviors when under pressure, hallucinating information, making up rules, and even generating responses that resemble threats or blackmail. While these actions may not be malicious in the human sense, they highlight…

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ChatGPT prompts for sales emails that convert prospects

By in Artificial Intelligence and Machine Learning, Email Marketing, Sales

Written by: Diego Mangabeira ChatGPT prompts for sales emails enable faster, more personalized outreach. When combined with HubSpot Smart CRM data, sales teams generate context-rich messages for every stage of the funnel. Download Now: 100 ChatGPT Prompts for Marketers AI transforms email creation from a manual process into an automated workflow grounded in customer data. When Smart CRM information, like role, deal stage, or last activity, feeds into a prompt, the result is a message that matches each contact’s priorities and timeline. Every send feels personal because it’s informed by real behavior. HubSpot brings this workflow into one space. The ChatGPT Connector lets teams generate and refine…

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How vibe coding is changing search marketing workflows

By in Marketing Tag

Written by Lavall Chichester As Google’s AI Overviews answer more queries directly, vibe coding gives marketers a way to create interactive experiences AI can’t replace. Search marketers are starting to build, not just optimize. Across SEO and PPC teams, vibe coding and AI-powered development tools are shrinking the gap between idea and execution – from weeks of developer queues to hours of hands-on experimentation.  These tools don’t replace developers, but they do let search teams create and test interactive content on their own timelines. That matters because Google’s AI Overviews are pulling more answers directly into the SERP, leaving fewer clicks for brand websites.  In a zero-click environment, the ability…

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Why Your AI Upskilling Will Fail (Unless You Fix These 5 Things First)

By in Artificial Intelligence and Machine Learning, Training

By Dr. Priyanka Dave Your executive team wants artificial intelligence (AI) adoption yesterday. Your budget for training platforms is approved. Your learning modules are ready to launch. But here’s the uncomfortable truth: none of it will stick, and the problem isn’t your training. Every Chief Learning Officer (CLO) knows this frustration. Employees complete their AI literacy courses, pass their assessments, and then return to their desks, where the old way of working is still faster, easier, and frankly, what their managers expect. Pictured: Dr. Priyanka Dave. Photo courtesy of Dr. Priyanka Dave. Organizations spend almost $100 billion annually on learning and development,…

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How to start a sales call

By in Sales

You can now preorder my book on Amazon - HEYO! Here’s the link! And here’s this week’s podcast, our last podcast of the year. We talk about this post (and my fight to keep the part about raccoon breeders in the book).https://open.spotify.com/embed/episode/5nm0nxRxZDJPwj05xgZkf9 If you read any sales book, you’ll see that the first part of a sales call - or even the whole first call - is supposed to be this very important thing called “discovery.” In this “discovery” thing, we are supposed to ask questions. The prospect should respond with words. Their words should inform our pitch and demo. At a high level, this…

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Mitigate Legal Risks of AI in Employment Decisions Through Vendor Contracts

By in Artificial Intelligence and Machine Learning, Human Resources

By Elizabeth Shirley Artificial intelligence (AI) has become commonplace in recruiting, screening, interviewing, testing, promotion, and employee monitoring. Properly designed and governed, AI can streamline processes and improve consistency. In employment decision-making, however, AI can introduce legal and operational risks for the employer, even when the AI tools are built and operated by third-party vendors. Businesses should understand where and when liabilities may arise and use vendor contracts to mitigate and allocate those risks before deploying AI as part of employment decisions. Legal Risks in Using AI for Employment Decisions A legal risk in using AI as part of employment…

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People, Process, Platform: The Three Ps of Marketing Transformation

By in Artificial Intelligence and Machine Learning, Marketing

by Storyblok Marketing and content are transforming real-time in the current pace of AI and technology evolution. New channels, trends, and tools appear almost weekly, and many marketers are scrambling to keep up—especially in content. But change has always been the one constant in marketing. It shapes our work, pushes the industry forward, and continually rewrites what works and what doesn't. The difference today is simply speed; the ability for marketers to adapt faster is now key to success. Content shapes every stage of the customer journey, and as that journey evolves faster than ever, teams need stronger capabilities to keep…

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From Noise to Revenue: The Modern B2B Cold Email Playbook

By in Email Marketing

by Adam Rosen B2B inboxes have never been louder. But cold email done right still cuts through the noise faster than almost any other channel. The difference between messages that get ignored and those that generate pipeline no longer comes down to volume—it comes down to relevance, credibility, and consistency. Teams that treat cold email like a process, not a gamble, are still booking meetings with enterprise buyers. After years of running campaigns for top global brands, EOC has seen what separates senders who scale from the ones who stall. Learn what the best do differently, how AI is reshaping outbound…

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