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<description>Discover top remote marketing jobs worldwide. Find remote positions in digital marketing, content, SEO, social media, and more. Apply to work-from-home marketing roles today.</description>
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<category>Bitcoin News</category>
<item>
<title><![CDATA[From Marketing Manager to Director: Naomi Berwin's Career Leap at Hachette Children's Group]]></title>
<link>https://www.marketingremotejobs.app/article/from-marketing-manager-to-director-naomi-berwins-career-leap-at-hachette-childrens-group</link>
<guid>from-marketing-manager-to-director-naomi-berwins-career-leap-at-hachette-childrens-group</guid>
<pubDate>Thu, 29 Jan 2026 17:00:54 GMT</pubDate>
<description><![CDATA[## Naomi Berwin's Promotion at Hachette Children's Group
**Hachette Children's Group** has announced the promotion of **Naomi Berwin** to the position of **marketing and brand director**. This move highlights the company's commitment to strengthening its marketing leadership and brand strategy in the competitive children's publishing industry.
### What This Promotion Means for Hachette
Berwin's elevation to director level signals Hachette's focus on **integrated marketing approaches** that combine traditional book marketing with modern brand-building techniques. As marketing and brand director, she will likely oversee campaigns that span multiple channels and platforms, ensuring consistency and impact across Hachette's children's book portfolio.
### The Role of Marketing in Publishing
In today's publishing landscape, **marketing directors** play crucial roles in connecting books with their target audiences. For children's books specifically, this involves not just promoting individual titles but building **lasting brand relationships** with parents, educators, and young readers themselves. Berwin's promotion suggests Hachette recognizes the importance of this strategic approach.
### Career Advancement in Publishing
This promotion serves as an inspiring example of **career growth within the publishing industry**. Berwin's journey from her previous position to director demonstrates how professionals can advance by combining marketing expertise with brand vision. Such moves are particularly noteworthy in an industry where leadership roles often require both creative and business acumen.
### Looking Ahead
While specific details about Berwin's new responsibilities weren't provided in the original announcement, her promotion typically involves overseeing **marketing strategy**, **brand development**, and potentially **team leadership** within Hachette Children's Group. This could influence how the publisher approaches everything from book launches to long-term brand positioning in the children's market.]]></description>
<author>contact@marketingremotejobs.app (MarketingRemoteJobs.app)</author>
<category>publishing</category>
<category>career</category>
<category>marketing</category>
<category>promotion</category>
<category>branding</category>
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<title><![CDATA[The Data Center PR War: How Tech Giants Are Spending Millions to Rebrand Unpopular Facilities]]></title>
<link>https://www.marketingremotejobs.app/article/the-data-center-pr-war-how-tech-giants-are-spending-millions-to-rebrand-unpopular-facilities</link>
<guid>the-data-center-pr-war-how-tech-giants-are-spending-millions-to-rebrand-unpopular-facilities</guid>
<pubDate>Wed, 28 Jan 2026 17:00:30 GMT</pubDate>
<description><
*Rural Michigan residents rally against the $7 billion Stargate data center planned on southeast Michigan farm land.*
With community opposition growing, **data center backers are going on a full-scale public relations blitz**. Around Christmas in Virginia, which boasts the highest concentration of data centers in the country, one advertisement seemed to air nonstop. "Virginia’s data centers are…investing billions in clean energy," a voiceover intoned over sweeping shots of shiny solar panels. "Creating good-paying jobs"—cue men in yellow safety vests and hard hats—"and building a better energy future."
The ad was sponsored by **Virginia Connects**, an industry-affiliated group that spent at least **$700,000 on digital marketing** in the state in fiscal year 2024. The spot emphasized that data centers are paying their own energy costs—framing this as a buffer that might help lower residential bills—and portrayed the facilities as engines of local job creation.
> Meta says it has supported "400+ operational jobs" in Altoona. But the local casino employs nearly 1,000 residents.
The reality is murkier. Although industry groups claim that each new data center creates "dozens to hundreds" of "high-wage, high-skill jobs," some researchers say data centers generate far fewer jobs than other industries, such as manufacturing and warehousing. Greg LeRoy, the founder of the research and advocacy group Good Jobs First, said that in his first major study of data center jobs nine years ago, he found that developers pocketed well over **$1 million in state subsidies for every permanent job they created**. With the rise of hyperscalers, LeRoy said, that number is "still very much in the ballpark."
Other experts reflect that finding. A 2025 brief from University of Michigan researchers put it bluntly: "**Data centers do not bring high-paying tech jobs to local communities.**" A recent analysis from Food & Water Watch, a nonprofit tracking corporate overreach, found that in Virginia, the investment required to create a permanent data center job was **nearly 100 times higher** than what was required to create comparable jobs in other industries.
"Data centers are the extreme of hyper-capital intensity in manufacturing," LeRoy said. "Once they’re built, the number of people monitoring them is really small." Contractors may be called in if something breaks, and equipment is replaced every few years. "But that’s not permanent labor," he said.
Jon Hukill, a spokesperson for the Data Center Coalition, the industry lobbying group that established Virginia Connects in 2024, said that the industry "is committed to paying its full cost of service for the energy it uses" and is trying to "meet this moment in a way that supports both data center development and an affordable, reliable electricity grid for all customers." Nationally, Hukill said, the industry "supported 4.7 million jobs and contributed $162 billion in federal, state, and local taxes in 2023."
Dozens of community groups across the country have mobilized against data center buildout, citing fears that the facilities will **drain water supplies, overwhelm electric grids, and pollute the air** around them. According to Data Center Watch, a project run by AI security company 10a Labs, nearly 200 community groups are currently active, and blocked or delayed 20 data center projects representing **$98 billion of potential investment** between April and June 2025 alone.
The backlash has exposed a growing image problem for the AI industry. "Too often, we’re portrayed as energy-hungry, water-intensive, and environmentally damaging," data center marketer Steve Lim recently wrote. That narrative, he argued, "misrepresents our role in society and potentially hinders our ability to grow." In response, the industry is stepping up its messaging.
> The data center ads reminded one activist of cigarette ads she saw decades ago touting the health benefits of smoking.
Some developers, like Starwood Digital Ventures in Delaware, are turning to **Facebook ads** to appeal to residents. Its ads make the case that data center development might help keep property taxes low, bring jobs to Delaware, and protect the integrity of nearby wetlands. According to reporting from Spotlight Delaware, the company has also boasted that it will create three times as many jobs as it initially told local officials.
Nationally, Meta has spent months running TV spots showcasing data center work as a viable replacement for lost industrial and farming jobs. One advertisement spotlights the small city of Altoona, Iowa. "I grew up in Altoona, and I wanted my kids to be able to do the same," a voice narrates over softly-lit scenes of small-town Americana: a Route 66 diner, a farm, and a water tower. "So, when work started to slow down, we looked for new opportunities…and we welcomed Meta, which opened a data center in our town. Now, we’re bringing jobs here—for us, and for our next generation."
The advertisement ends with a promise superimposed over images of a football game: "Meta is investing $600 billion in American infrastructure and jobs."
In reality, Altoona’s data center is a hulking, windowless, warehouse complex that broke ground in 2013, long before the current data center boom. Altoona is not quite the beleaguered farm town Meta’s advertisements portray, but a suburb of 19,000, roughly 16 minutes from downtown Des Moines, the most populous city in Iowa. Meta says it has supported "400+ operational jobs" in Altoona. In comparison, the local casino employs nearly 1,000 residents, according to the local economic development agency.
Ultimately, those details may not matter much to the ad’s intended audience. As Politico reported, the advertisement may have been targeted at policymakers on the coasts more than the residents of towns like Altoona. Meta has spent **at least $5 million** airing the spot in places like Sacramento and Washington, DC.
The community backlash has also made data centers a political flashpoint. In Virginia, Abigail Spanberger won November’s gubernatorial election in part on promises to regulate the industry and make developers pay their "fair share" of the electricity they use. State lawmakers also considered 30 bills attempting to regulate data centers. In response to concerns about rising electricity prices, Virginia regulators approved a new rate structure for AI data centers and other large electricity users. The changes, which will take effect in 2027, are designed to protect household customers from costs associated with data center expansion.
These developments may only encourage companies to spend more on image-building. In Virginia’s Data Center Alley, the ads show no sign of stopping. Elena Schlossberg, an anti-data-center activist based in Prince William County, says her mailbox has been flooded with fliers from Virginia Connects for the past eight months.
The promises of lower electric bills, good jobs, and climate responsibility, she said, remind her of cigarette ads she saw decades ago touting the health benefits of smoking. But Schlossberg isn’t sure the marketing is going to work. One recent poll showed that **73 percent of Virginians blame data centers for their rising electricity costs**.
"There’s no putting the toothpaste back in the tube," she said. "People already know we’re still covering their costs. People know that."]]></description>
<author>contact@marketingremotejobs.app (MarketingRemoteJobs.app)</author>
<category>datacenters</category>
<category>techindustry</category>
<category>prcampaigns</category>
<category>communitybacklash</category>
<category>industryinsights</category>
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<title><![CDATA[Beyond Time Saved: The 3 AI Metrics That Actually Convince CFOs to Increase Budgets]]></title>
<link>https://www.marketingremotejobs.app/article/beyond-time-saved-the-3-ai-metrics-that-actually-convince-cfos-to-increase-budgets</link>
<guid>beyond-time-saved-the-3-ai-metrics-that-actually-convince-cfos-to-increase-budgets</guid>
<pubDate>Mon, 26 Jan 2026 17:00:26 GMT</pubDate>
<description><![CDATA[Every AI vendor pitch follows the same script: “Our tool saves your team 40% of their time on X task.”
The demo looks impressive. The return on investment (ROI) calculator backs it up, showing millions in labor cost savings. You get budget approval. You deploy.
Six months later, your CFO asks: “Where’s the 40% productivity gain in our revenue?”
You realize the saved time went to email and meetings, not strategic work that moves the business forward.
This is the AI measurement crisis playing out in enterprises right now.
According to Fortune’s December 2025 report, 61% of CEOs report increasing pressure to show returns on AI investments. Yet most organizations are measuring the wrong things.
There’s a problem with how we’ve been tracking AI’s value.
## Why ‘Time Saved’ Is A Vanity Metric
Time saved sounds compelling in a business case. It’s concrete, measurable, and easy to calculate.
But time saved doesn’t equal value created.
Anthropic’s November 2025 research analyzing 100,000 real AI conversations found that AI reduces task completion time by approximately 80%. Sounds transformative, right?
What that stat doesn’t capture is the **Jevons Paradox of AI**.
In economics, the Jevons Paradox occurs when technological progress increases the efficiency with which a resource is used, but the rate of consumption of that resource rises rather than falls.
In the corporate world, this is the **Reallocation Fallacy**. Just because AI completes a task faster doesn’t mean your team is producing more value. It means they’re producing the same output in less time, but then filling that saved time with lower-value work. Think more meetings, longer email threads, and administrative drift.
Google Cloud’s 2025 ROI of AI report, surveying 3,466 business leaders, found that 74% report seeing ROI within the first year, most commonly through productivity and efficiency gains rather than outcome improvements.
But when you dig into what they’re measuring, it’s primarily efficiency gains, and not outcome improvements.
CFOs understand this intuitively. That’s why “time saved” metrics don’t convince finance teams to increase AI budgets.
What does convince them is measuring what AI enables you to do that you couldn’t do before.
## The Three Types Of AI Value Nobody’s Measuring
Recent research from Anthropic, OpenAI, and Google reveals a pattern: The organizations seeing real AI ROI are measuring expansion.
Three types of value actually matter:
### Type 1: Quality Lift
AI can make work faster, and it makes good work better.
A marketing team using AI for email campaigns can send emails quicker. And they also have time to A/B test multiple subject lines, personalize content by segment, and analyze results to improve the next campaign.
The metric isn’t “time saved writing emails.” The metric is “15% higher email conversion rate.”
OpenAI’s State of Enterprise AI report, based on 9,000 workers across almost 100 enterprises, found that 85% of marketing and product users report faster campaign execution. But the real value shows up in campaign performance, not campaign speed.
**How to measure quality lift:**
- Conversion rate improvements (not just task completion speed).
- Customer satisfaction scores (not just response time).
- Error reduction rates (not just throughput).
- Revenue per campaign (not just campaigns launched).
One B2B SaaS company I talked to deployed AI for content creation.
- Their old metric was “blog posts published per month.”
- Their new metric became “organic traffic from AI-assisted content vs. human-only content.”
The AI-assisted content drove 23% more organic traffic because the team had time to optimize for search intent, not just word count.
That’s quality lift.
### Type 2: Scope Expansion (The Shadow IT Advantage)
This is the metric most organizations completely miss.
Anthropic’s research on how their own engineers use Claude found that 27% of AI-assisted work wouldn’t have been done otherwise.
More than a quarter of the value AI creates isn’t from doing existing work faster; it’s from doing work that was previously impossible within time and budget constraints.
What does scope expansion look like? It often looks like positive Shadow IT.
**The “papercuts” phenomenon:** Small bugs that never got prioritized finally get fixed. Technical debt gets addressed. Internal tools that were “someday” projects actually get built because a non-engineer could scaffold them with AI.
**The capability unlock:** Marketing teams doing data analysis they couldn’t do before. Sales teams creating custom materials for each prospect instead of using generic decks. Customer success teams proactively reaching out instead of waiting for problems.
Google Cloud’s data shows 70% of leaders report productivity gains, with 39% seeing ROI specifically from AI enabling work that wasn’t part of the original scope.
**How to measure scope expansion:**
- Track projects completed that weren’t in the original roadmap.
- Ratio of backlog features cleared by non-engineers.
- Measure customer requests fulfilled that would have been declined due to resource constraints.
- Document internal tools built that were previously “someday” projects.
One enterprise software company used this metric to justify its AI investment. It tracked:
- 47 customer feature requests implemented that would have been declined.
- 12 internal process improvements that had been on the backlog for over a year.
- 8 competitive vulnerabilities addressed that were previously “known issues.”
None of that shows up in “time saved” calculations. But it showed up clearly in customer retention rates and competitive win rates.
### Type 3: Capability Unlock (The Full-Stack Employee)
We used to hire for deep specialization. AI is ushering in the era of the “Generalist-Specialist.”
Anthropic’s internal research found that security teams are building data visualizations. Alignment researchers are shipping frontend code. Engineers are creating marketing materials.
AI lowers the barrier to entry for hard skills.
A marketing manager doesn’t need to know SQL to query a database anymore; she just needs to know what question to ask the AI. This goes well beyond speed or time saved to removing the dependency bottleneck.
When a marketer can run their own analysis without waiting three weeks for the Data Science team, the velocity of the entire organization accelerates. The marketing generalist is now a front-end developer, a data analyst, and a copywriter all at once.
OpenAI’s enterprise data shows 75% of users report being able to complete new tasks they previously couldn’t perform. Coding-related messages increased 36% for workers outside of technical functions.
**How to measure capability unlock:**
- Skills accessed (not skills owned).
- Cross-functional work completed without handoffs.
- Speed to execute on ideas that would have required hiring or outsourcing.
- Projects launched without expanding headcount.
A marketing leader at a mid-market B2B company told me her team can now handle routine reporting and standard analyses with AI support, work that previously required weeks on the analytics team’s queue.
Their campaign optimization cycle accelerated 4x, leading to 31% higher campaign performance.
The “time saved” metric would say: “AI saves two hours per analysis.”
The capability unlock metric says: “We can now run 4x more tests per quarter, and our analytics team tackles deeper strategic work.”
## Building A Finance-Friendly AI ROI Framework
CFOs care about three questions:
- Is this increasing revenue? (Not just reducing cost.)
- Is this creating competitive advantage? (Not just matching competitors.)
- Is this sustainable? (Not just a short-term productivity bump.)
**How to build an AI measurement framework that actually answers those questions:**
### Step 1: Baseline Your “Before AI” State
Don’t skip this step, or else it will be impossible to prove AI impact later. Before deploying AI, document current throughput, quality metrics, and scope limitations.
### Step 2: Define Leading Vs. Lagging Indicators
You need to track both efficiency and expansion, but you need to frame them correctly to Finance.
- **Leading Indicator (Efficiency):** Time saved on existing tasks. This predicts potential capacity.
- **Lagging Indicator (Expansion):** New work enabled and revenue impact. This proves the value was realized.
### Step 3: Track AI Impact On Revenue, Not Just Cost
Connect AI metrics directly to business outcomes:
- If AI helps customer success teams → Track retention rate changes.
- If AI helps sales teams → Track win rate and deal velocity changes.
- If AI helps marketing teams → Track pipeline contribution and conversion rate changes.
- If AI helps product teams → Track feature adoption and customer satisfaction changes.
### Step 4: Measure The “Frontier” Gap
OpenAI’s enterprise research revealed a widening gap between “frontier” workers and median workers. Frontier firms send 2x more messages per seat.
This means identifying the teams extracting real value versus the teams just experimenting.
### Step 5: Build The Measurement Infrastructure First
PwC’s 2026 AI predictions warn that measuring iterations instead of outcomes falls short when AI handles complex workflows.
As PwC notes: “If an outcome that once took five days and two iterations now takes fifteen iterations but only two days, you’re ahead.”
The infrastructure you need before you deploy AI involves baseline metrics, clear attribution models, and executive sponsorship to act on insights.
## The Measurement Paradox
The organizations best positioned to measure AI ROI are the ones who already had good measurement infrastructure.
According to Kyndryl’s 2025 Readiness Report, most firms aren’t positioned to prove AI ROI because they lack the foundational data discipline.
Sound familiar? This connects directly to the data hygiene challenge I’ve written about previously. You can’t measure AI’s impact if your data is messy, conflicting, or siloed.
## The Bottom Line
The AI productivity revolution is well underway. According to Anthropic’s research, current-generation AI could increase U.S. labor productivity growth by 1.8% annually over the next decade, roughly doubling recent rates.
But capturing that value requires measuring the right things.
Forget asking: “How much time does this save?”
Instead, focus on:
- “What quality improvements are we seeing in output?”
- “What work is now possible that wasn’t before?”
- “What capabilities can we access without expanding headcount?”
These are the metrics that convince CFOs to increase AI budgets. These are the metrics that reveal whether AI is actually transforming your business or just making you busy faster.
Time saved is a vanity metric. Expansion enabled is the real ROI.
Measure accordingly.]]></description>
<author>contact@marketingremotejobs.app (MarketingRemoteJobs.app)</author>
<category>ai</category>
<category>roi</category>
<category>cfo</category>
<category>marketingstrategy</category>
<category>productivity</category>
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<item>
<title><![CDATA[Gmail's Marketing Email Filter Is Broken: Your Inbox Is Flooded With Promotions]]></title>
<link>https://www.marketingremotejobs.app/article/gmails-marketing-email-filter-is-broken-your-inbox-is-flooded-with-promotions</link>
<guid>gmails-marketing-email-filter-is-broken-your-inbox-is-flooded-with-promotions</guid>
<pubDate>Sun, 25 Jan 2026 09:00:22 GMT</pubDate>
<description><![CDATA[If your Gmail inbox feels particularly chaotic this weekend, you aren't the only one dealing with the mess. A glitch seems to be breaking the filters that usually keep marketing fluff out of your important emails.
## The Floodgates Have Opened
It looks like Google's sorting algorithm has taken a break. According to several reports online, a significant number of Gmail users are noticing that the **"Promotions" tab is failing to do its job**. Instead of tucking away newsletters, sale alerts, and general marketing blasts into their designated folder, Gmail is dumping them right into the **"Primary" inbox**.
This issue seems to have started popping up earlier today (January 24), with users flocking to online forums and support pages to ask if they were the only ones. We have seen threads on Reddit where confused users are wondering why their main feed is suddenly cluttered with coupons. It seems the system that automatically detects and segregates these mass emails is currently ignoring its programming.
## Why This Mess Matters to Your Sanity
Most of us rely on Gmail's tabbed inbox feature to maintain a semblance of digital peace. The **"Primary" tab is supposed to be a sanctuary for emails from actual humans, important bills, or work emails**. When the **"Promotions" filter breaks**, that sanctuary gets overrun by retail noise.
However, this is likely a temporary situation. Google has yet to acknowledge the bug, and the reports continue to flood Reddit and Google's own community forums. We also don't know how widespread this may be. All we can do at this point is wait until Google responds.
## Advice for Right Now
I checked my phone this morning and noticed a few errant emails that definitely did not belong in my primary inbox. It is definitely annoying, but I wouldn't panic just yet.
These server-side glitches usually get ironed out by Google engineers pretty quickly once they notice the spike in complaints. So, for now, I wouldn't try to manually move or delete these emails until Google addresses the situation. Our best bet is likely to just sit tight and wait to get additional information on what is actually happening. We will keep an eye on it and let you know when it's safe to look at your inbox again.
**Update from January 24th, 2026:**
Google has shared that the issue has now been resolved.]]></description>
<author>contact@marketingremotejobs.app (MarketingRemoteJobs.app)</author>
<category>gmail</category>
<category>emailmarketing</category>
<category>techglitch</category>
<category>inboxmanagement</category>
<category>google</category>
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<title><![CDATA[Why One Job Isn't Enough: The Rise of Side Hustles Among Young Koreans]]></title>
<link>https://www.marketingremotejobs.app/article/why-one-job-isnt-enough-the-rise-of-side-hustles-among-young-koreans</link>
<guid>why-one-job-isnt-enough-the-rise-of-side-hustles-among-young-koreans</guid>
<pubDate>Sun, 25 Jan 2026 17:00:33 GMT</pubDate>
<description><
So what's behind the surge?
Experts point to a disconnect between official inflation and lived reality. While consumer prices rose 2.1 percent last year — the lowest in five years — workers say daily expenses feel far higher.
Kim Sung-hee, director of the Institute for Industrial and Labor Policy, explained that growing expenses and stagnating income are driving even stable salaried employees into supplemental work.
“The pace of wage growth is not keeping up with the rise in living costs,” he said. “So more workers are adopting the **‘main job plus side job’ model as their default**,” he added, predicting that the practice could lead to a long-term transformation in the labor landscape.
“At the same time, there has been a persistent increase in precarious employment. Society must rethink whether workers are being compensated fairly for their labor,” said Kim.
In fact, 82.5 percent cite the need for additional income, whether to cover daily expenses, save for emergencies or prepare for unexpected costs.
## Lost Faith in Traditional Career Ladders
Experts say the trend also reflects a deeper shift in how young Koreans view work and careers. High inflation, stagnant wages and volatile employment conditions have eroded confidence in traditional career paths.
Surveys show young professionals increasingly reject the idea that climbing the corporate ladder is the only path to security.
According to last year’s survey by local think-tank 20s Lab on 850 office workers in their 20s and 30s, 36.7 percent of respondents said they do not wish to be promoted to a managerial position. Many cited the stress, workload and performance pressure associated with a promotion as reasons for their reluctance.
The apparent lack of desire for more authority at work was found in a 2023 survey of young workers by job-search platform Job Korea. Of the respondents, 54.8 percent said they do not want to be promoted to an executive position.
“Unlike past generations, young workers now know they can earn income outside the office through social media or e-commerce,” said Kim. “**Taking on more responsibility at work is no longer seen as the best or only way to build a stable future.**”
## Seeking Fulfillment Beyond the 9-to-5
For some, the motivation behind side jobs goes beyond financial survival. A growing group of N-jobbers sees multiple jobs as a pathway to self-improvement, personal branding or long-term dreams.
“I realized the company isn’t everything and I needed to invest in myself,” said a 27-year-old professional in Seoul who runs a YouTube channel of some 27,000 subscribers. “My main job alone isn’t enough to prepare for the future. Through my side work, I’m building financial stability and gaining new experiences.”
But the rise of second and third jobs comes at a cost. Young N-jobbers now work an average of 58.7 hours per week, with some clocking nearly 97 hours, according to a report by the Korea Institute of Labor Safety and Health.
Experts warn this could worsen Korea’s already chronic burnout, deteriorate health and weaken family and social bonds.
“Trying to maximize income through multiple jobs reflects anxiety about falling behind in a society where economic power is paramount,” said sociology professor Heo Chang-deok of Yeungnam University.
“Yet long working hours are reducing productivity and straining relationships. We need to examine whether workers’ wages adequately reflect the value of their labor.”]]></description>
<author>contact@marketingremotejobs.app (MarketingRemoteJobs.app)</author>
<category>sidehustle</category>
<category>careertrends</category>
<category>remotework</category>
<category>digitalincome</category>
<category>burnout</category>
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<title><![CDATA[Is AI Killing Creativity in Advertising? The Shocking Truth About AI-Generated Ads]]></title>
<link>https://www.marketingremotejobs.app/article/is-ai-killing-creativity-in-advertising-the-shocking-truth-about-ai-generated-ads</link>
<guid>is-ai-killing-creativity-in-advertising-the-shocking-truth-about-ai-generated-ads</guid>
<pubDate>Sat, 24 Jan 2026 17:00:32 GMT</pubDate>
<description><, more than half of 1,000 polled brand marketers used some variant of AI in their creative campaigns in 2025. Another study by the [Interactive Advertising Bureau (IAB)](https://www.iab.com/news/nearly-90-of-advertisers-will-use-gen-ai-to-build-video-ads/) found that 90 percent of advertisers were using, or planning to use, generative AI for video ads in 2025, and projected that such tools would be used in 40 percent of *all* ads by 2026.
That’s why we’re increasingly seeing AI ads on [TV](https://www.theverge.com/news/811263/this-is-googles-first-entirely-ai-generated-ad), in [magazines](https://www.instagram.com/p/DMk1B2ro0O9/?img_index=1), and across [social media](https://www.theverge.com/news/773567/vodafone-generative-ai-ad-presenter-tiktok). Some are upfront about using generative AI, such as [Coca-Cola’s sloppy holiday ads](https://www.theverge.com/news/812559/coca-cola-ai-holiday-christmas-commercial-2025), but many aren’t — leaving us to be suspicious of everything we see that appears slightly “off.” Sometimes, that can be humans who give off uncanny valley vibes, like the ads we’ve seen from [McDonalds](https://www.youtube.com/watch?v=LYz-5cL-BhA) and [DoorDash](https://www.reddit.com/r/aiwars/comments/1mg6mpn/i_got_this_ai_doordash_ad_what_are_your_thoughts/) where the people look too polished and move in unnatural ways. Or perhaps CGI and visual effects that morph inconsistently in ways that would be weird for a VFX artist to do intentionally, like [this ad for Original Source shower gel](https://www.youtube.com/watch?v=jcnlItYBS74). Why does that man’s face keep changing? Why does it keep trying to turn him into a Memoji?
## Can We Even Tell the Difference?
But while generation in commercials might seem obvious to some, clocking AI in the wild isn’t something most humans are good at yet. The [Association for Computing Machinery](https://cacm.acm.org/research/as-good-as-a-coin-toss-human-detection-of-ai-generated-content/) (ACM) found that humans could only accurately identify AI-generated images, video, and audio 50 percent of the time, and that’s one of the [higher success rates](https://www.theverge.com/entertainment/830393/ai-music-deezer-survey-spotify) we’ve seen. Kantar, the market research company that helped to develop [Coca-Cola’s AI holiday campaign in 2024](https://www.theverge.com/2024/11/15/24297586/coca-cola-is-airing-ai-generated-ads-for-the-holidays), also found that most of its ad testers couldn’t tell it was AI-generated, despite the tell-tale visuals and clear on-screen AI disclosure.
“The vast majority of people didn’t notice the ad was AI-generated (we asked)”
“The people that matter most – Coca-Cola’s target audience – still enjoy it, feel good when they see it, and love the brand for it,” Kantar managing director [Dom Boyd told *Campaign*](https://www.campaignasia.com/article/will-the-coca-cola-ad-deter-brands-from-using-ai-in-film/499530)*.* “Lots. In fact, Kantar’s [ad testing] shows that the vast majority of people didn’t notice the ad was AI-generated (we asked), and the execution is one of the highest-performing this year for short-term sales potential.”
## Audience Reactions: A Mixed Bag
Audience reactions to AI ads have been mixed, however. In a [November 2025 Kantar study](https://www.kantar.com/inspiration/advertising-media/rethinking-ai-generated-advertising), consumers were discouraged by ads that featured obvious AI signals like “distracting or unnatural visuals,” but responded well to ads that used AI well enough to go largely undetected. The same study also found that people have stronger emotional reactions to AI-generated ads compared to those made without it — but the reactions in question were typically negative.
We see much of that negativity around obvious AI advertisements [across forums](https://www.reddit.com/r/CommercialsIHate/comments/1kwmzzn/im_tired_of_the_ai_ads/) and in the [comments](https://www.instagram.com/reels/DRtmfBECAcm/) on social media platforms. There’s even an [r/AiSlopAds subreddit](https://www.reddit.com/r/AiSlopAds/) community dedicated to publicly shaming examples of AI ads. There are several commonly mentioned reasons for this sentiment, including [ethical](https://www.theverge.com/ai-artificial-intelligence/864951/human-artistry-campaign-ai-licensing-artists) and [environmental concerns](https://www.theverge.com/news/845831/ai-chips-data-center-power-water) around generative AI, seeing its supposed cost-cutting and efficiency benefits as something that cheapens branding, and just thinking it looks unappealing.
## The Money Factor
Money (duh) is the obvious reason why more brands are increasingly ready to risk that negativity to explore generative AI. Sure, AI ads for prediction market platform Kalshi are [scorned by Reddit users](https://www.reddit.com/r/CommercialsIHate/comments/1o8aitn/this_ai_slop_kalshi_ad_is_one_of_the_worst_things/), but a particularly bonkers and confusing example that aired during a [primetime 2025 NBA finals](https://mashable.com/article/ai-generated-video-veo3-nba-finals-kalshi) slot only cost $2,000 to make. It was created in [just two days](https://pjace.beehiiv.com/p/i-can-t-believe-disney-allowed-us-to-run-this-ai-ad-during-the-nba-finals-f77e73388ab4ca62) by one person using Google’s Veo 3 AI model. It’s not hard to see the appeal of that efficiency, and passionate hatred of an ad does indicate people found it memorable, even if it’s for the wrong reasons.
A memorable ad can become a company’s legacy. The famous “Just Do It” (1988) Nike slogan was created for the fitness company’s [first major television campaign](https://www.youtube.com/watch?v=0yO7xLAGugQ) by Wieden and Kennedy, with relatable commercials that featured everyday people doing their workouts. UK readers may also recall the 1999 [Guinness “Surfer” commercial](https://www.youtube.com/watch?v=w9ogzVyTtcw) (directed by Jonathan Glazer with the ABM BBDO ad agency), an internationally acclaimed masterpiece of advertising that took nine days to film in Hawaii, using pioneering visual effects to merge live-action, heavy-water surfing with CGI horses.
The production budgets for commercials aren’t frequently disclosed, but when made traditionally, they can cost a pretty penny. The media spend for Old Spice’s [“The Man Your Man Could Smell Like”](https://www.youtube.com/watch?v=owGykVbfgUE) is estimated to be $10 million, which was smaller than many major ad campaigns that also aired in 2010. There’s also the iconic “1984” commercial directed by Ridley Scott to introduce the Apple Macintosh computer, which reportedly had a then-unprecedented production budget of $900,000, equivalent to $2.8 million in 2026.
These famous ads aren’t memorable for being crap. Coca-Cola says that its AI holiday commercials are successful, but they just replicated its iconic red truck campaign, something that already *had* decades of positive nostalgia through genuine human creativity and production efforts.
## The Future of AI in Advertising
But while creating a successful campaign entirely through generative AI may be challenging now, it will become easier as tools and models continue to improve. The tech and media world is [banking on it](https://www.theverge.com/tech/863365/national-retail-federation-show-shopping-commerce-ai) now that major brands like [Nestlé, Mondelez](https://www.theverge.com/2023/8/18/23837273/generative-ai-advertising-oreos-cadbury-watermarking), and Coca-Cola have already set a precedent. Google and Microsoft have produced ads using their own generative AI models, and [Amazon is giving](https://www.theverge.com/news/780045/amazon-ai-ads-chatbot-inventory-monitoring) sellers tools to fill its site with AI ads. Meta is expected to roll out [fully automated AI ads](https://www.theverge.com/news/677930/metas-ai-ads-are-coming-next-year) on its social platforms this year, and Nvidia is building tools that can serve up an infinite variety of [custom personalized video ads](https://www.theverge.com/ai-artificial-intelligence/638387/ai-is-going-to-make-personalized-ads-even-creepier).
“I don’t spend any time worrying about whether AI is going to take over for us as humans”
Even the marketers behind beloved, iconic ads are on board. ABM BBDO has launched its own AI platform, and Wieden and Kennedy is openly using AI in its production pipelines. “I think AI is an incredibly powerful tool, but it’s still a tool,” Wieden and Kennedy CEO Neal Arthur said in a [LinkedIn News interview](https://www.linkedin.com/posts/wieden---kennedy_this-is-working-with-wieden-kennedy-ceo-activity-7343682231359483904-a5jH/). “I think it allows us to scale more efficiently, but I don’t spend any time worrying about whether AI is going to take over for us as humans.”
Generative AI usage is expected to be so pervasive in advertising this year that early trends are already anticipating a resistance movement, one that aims to build loyalty with consumers who are seeking to avoid synthetic content.
“2026 will be the year of ‘things AI can’t do,’ or more truthfully, things AI can’t do (very well yet),” Thom Glover, founder of creative agency American Haiku, said in [*AdAge*’s creativity predictions report](https://adage.com/trends-predictions/business-forecast/aa-creativity-predictions-2026/). “Expect messy, hand-drawn, roughly textured or erratically collaged design, ideas that take pleasure in playing with the boundaries of what an ad is, and the return to the simple pleasures of 16mm film, analog recording, and ‘leaving in the mistakes.’”
## The Resistance Movement
Some brands have already joined this resistance. Aerie’s promise not to use AI in its ads was the clothing brand’s [most popular Instagram post](https://www.instagram.com/p/DPluyO-EdaY/?img_index=1) last year, and Polaroid advertised its Flip instant camera with bus posters that poked fun at the technology, one reading “AI can’t generate sand between your toes.”
“We are such an analog brand that basically gave us the permission: We can own that conversation,” Polaroid’s creative director Patricia Varella told [*Business Insider*](https://www.businessinsider.com/brands-reject-ai-aerie-heineken-polaroid-marketing-2025-10). “That layer of imperfection that makes us human and beautifully imperfect — something we think is important to remind people.”
Some generative AI tools can now mimic analog and retro medium styles rather effectively, which will make distinguishing them from human-made content even harder.
Many tools are catered to delivering content that looks *too* polished, however, creating an echo chamber in which everything starts to look the same without human-creativity to differentiate it. It’s also easier to spot mistakes in images and videos that strive for such perfection. Every unnatural hallucination and unexplained visual error implies that the project didn’t include any human creative professionals to identify or correct them. And advertisers are finding that they care less and less about creativity in their campaigns, with a [recent study from IAB](https://www.iab.com/insights/the-ai-gap-widens/) showing that cost efficiency, time savings, and scalability are being prioritized going forward.
With that in mind, I’m begging brands and marketing agencies to remember that a *good* ad doesn’t need to be expensive or challenging to produce by hand. One of the best commercials of all time was achieved by filming a bunch of dude yelling “[WASSUUUUUP](https://www.youtube.com/watch?v=JJmqCKtJnxM)” at each other while drinking a Budweiser. That’s something that can only be manifested by delightful human weirdness.]]></description>
<author>contact@marketingremotejobs.app (MarketingRemoteJobs.app)</author>
<category>ai</category>
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<category>marketing</category>
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<title><![CDATA[Frontline's $76,900/Day VLCC Charter Deal: A Tanker Market Windfall in Unprecedented Times]]></title>
<link>https://www.marketingremotejobs.app/article/frontlines-76-900-day-vlcc-charter-deal-a-tanker-market-windfall-in-unprecedented-times</link>
<guid>frontlines-76-900-day-vlcc-charter-deal-a-tanker-market-windfall-in-unprecedented-times</guid>
<pubDate>Sat, 24 Jan 2026 09:00:24 GMT</pubDate>
<description><
*Lars Barstad is Frontline's chief executive. Photo: Mats Finnerud*
### Market Buzz and Confirmation
Chatter about these fixtures had been spreading through the tanker market earlier on Friday, creating a buzz among industry insiders. **Frontline**, backed by shipping magnate **John Fredriksen**, officially confirmed the deals at the close of trading in New York, putting speculation to rest and solidifying the news.
### A Deal for the Decades
This charter agreement is being hailed as **one for the decades**, highlighting its exceptional nature in an industry often characterized by volatility. The **$76,900 per day rate** for VLCCs underscores the current strength and dynamics of the crude tanker sector, driven by factors such as global demand shifts and geopolitical tensions.
**Published 23 January 2026, 23:27**
This development not only boosts Frontline's financial outlook but also signals broader trends in maritime logistics and energy transportation, making it a key story for stakeholders in shipping, finance, and global trade.]]></description>
<author>contact@marketingremotejobs.app (MarketingRemoteJobs.app)</author>
<category>shipping</category>
<category>tankers</category>
<category>vlcc</category>
<category>maritime</category>
<category>frontline</category>
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