Category Artificial Intelligence and Machine Learning

How workers will adapt in the AI era

By in Artificial Intelligence and Machine Learning, Operations

By Lareina Yee and Anu Madgavkar The anxiety that workers feel about advances in artificial intelligence is completely understandable—but often misplaced, write Lareina Yee and Anu Madgavkar in Time. Based on task-level analysis of over 800 occupations, a deep dive look at 6,800 skills, and expert surveys, our research team at the McKinsey Global Institute estimate that the tasks which fill more than half of all U.S. work hours can, in theory, be automated with technologies that already exist. The silver lining is that AI cannot—and will not—completely replace the jobs of the people who complete those tasks for a living. Instead, work will change, and…

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37% of consumers start searches with AI instead of Google: Study

By in Artificial Intelligence and Machine Learning, Marketing Tag ,

Written by Danny Goodwin Traditional search frustrations are pushing users toward AI first, forcing brands to stay visible and credible in both places. Consumers are increasingly using AI tools — not Google — as their first source of information. This is driven by frustration with traditional search and rising expectations that AI will play a much larger role this year, according to a new report from Eight Oh Two, an SEO and PPC marketing agency. Why we care. AI isn’t replacing search, but it’s reshaping where search begins, how people discover brands, and which options they consider. A hybrid journey is…

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Human skills will matter more than ever in the age of AI

By in Artificial Intelligence and Machine Learning

By Alexis Krivkovich and Anu Madgavkar Even as AI automates many tasks, companies that invest in human skills will gain a competitive edge, write Alexis Krivkovich and Anu Madgavkar in The Wall Street Journal. The rise of AI is understandably unsettling for workers. But new research from the McKinsey Global Institute shows its impact is far more complicated—and far less alarming—than the headlines imply. According to the study, existing technologies could automate tasks that make up more than half of U.S. work hours today. It’s a big number, but it does not translate into a wholesale disappearance of jobs. Instead, most of the change…

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AI Is Reshaping ABM: How B2B Marketers Can Unleash Their Fullest Potential

By in Artificial Intelligence and Machine Learning Tag

by Patrick Shea Constant advances in tech and data can speed targeting, personalization, and campaign execution. But it's not as overwhelming as it sounds. B2B marketers have always been plagued by the paradox of too much choice—too many tools, too much data, too many "next big things" to chase. Artificial intelligence's rapid advances have only raised the volume, adding a mix of challenges and promise. For the moment, AI doesn't do much that humans can't. But it can do much of it faster. When used well, it can recreate and synthesize good-quality work at speeds and scales that were previously impossible…

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Exploring the real risk AI brings to the internet (and SEO with it)

By in Artificial Intelligence and Machine Learning Tag

Written by Cindy Krum As AI-generated content floods the web, what happens when humans stop being the primary creators or consumers online? A human look at Google, SEO, and the “Dead Internet Theory.” The idea of starting an article series about AI in a time when so many articles are being at least partially generated by AI and potentially primarily consumed by AI might cause one to pause and consider the value of the effort.  All of us digital marketers hope to find a future where we can still add value and find fulfillment in a world where our efforts and careers are…

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Why Do Large Language Models (LLMs) Love Press Releases?

By in Artificial Intelligence and Machine Learning

by Notified Working in B2B marketing, you've probably noticed how search has changed. You may have seen it reflected in decreasing organic traffic to your website. These days, your customers aren't always starting their research with Google. They're now asking questions on ChatGPT, Gemini, or Claude and relying on zero-click searches. As for what feeds these AI search results, here's what's really interesting: AI-driven search systems love well-written press releases. That's right; the format that's been around for decades is now the content type AI trusts the most. Let's unpack why and explain how you can use this to your advantage. The New…

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Why Your Employees Feel Gen AI Fears—and How to Win Them Over

By in Artificial Intelligence and Machine Learning, Human Resources

By Dr. Gleb Tsipursky Integrating Generative AI (Gen AI) into an organization is transformative, yet fraught with uncertainty for many employees. Transparency and consistent communication throughout this process are not optional; they are essential. By openly sharing progress, challenges, and milestones, organizations can transform fear into confidence and resistance into active engagement. Trust is built not by delivering a one-time announcement but through frequent, detailed updates. When employees understand where a project stands, what has been achieved, and what challenges lie ahead, they feel included rather than sidelined. Clear communication reduces speculation and prevents anxiety about the implications of new…

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How CMOs Are Using AI for Their Jobs

By in Artificial Intelligence and Machine Learning, Marketing

by Ayaz Nanji Most CMOs say they are now using AI tools at least weekly for a range of job-related tasks, including to generate copy, find useful information, and challenge their thinking, according to recent research from Dentsu Creative. The report was based on data from a survey conducted in April 2025 among 1,950 senior marketing decision-makers from around the world. More than 80% of respondents say they are using AI tools at least weekly to draft copy, challenge their thinking, identify trends, generate images, and find useful reports and summarize findings. Some 89% of respondents agree that agentic AI will have a significant impact…

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Are We Still Marketing to Humans?

By in Artificial Intelligence and Machine Learning, Marketing

By Ajith Babu You Google a question your buyer asks all the time. Instead of ten blue links, you get an AI Overview with a tidy paragraph and a few citations. You try the same query in ChatGPT or Perplexity and watch another neat summary appear. If your brand is lucky enough to be mentioned, it’s usually one line, stripped of style. But even then, the story isn’t yours anymore. The headline your managing editor spent hours crafting has been rewritten, all nuance flattened. Your once-differentiated point of view now reads like it came from a committee. This is the new…

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A Marketer’s Guide to the New Alphabet Soup of Search: SEO vs. AEO vs. GEO

By in Artificial Intelligence and Machine Learning

By Ben Kruger Online search used to be controlled by big search engines like Google or Bing. But things are changing. Fast. The main driver behind this, of course, is the rise of Large Language Models (LLMs) like ChatGPT, Gemini, and Claude, which have changed the way people find and consume information online. Instead of typing keywords into a search engine, users are now asking their favorite AI chatbot for an answer. For marketers, this means just making sure your brand is at the top of SERPs is no longer enough. You also want your content represented in AI Overviews or…

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