#Generative AI In Coding Market Share

[industrynewsupdates]

A Comprehensive Overview of Generative AI In Coding Market Landscape

The global generative AI in coding market size is expected to reach USD 106.3 million by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to expand at a CAGR of 25.2% from 2023 to 2030. Generative AI's impact on coding rapidly expands as developers use advanced models and successors to streamline software development. These models generate code snippets, offer creative solutions, automate documentation, enhance code comprehension, and enable rapid prototyping. As the technology evolves, its ability to address diverse programming languages and specific domains grows, empowering developers with efficient coding assistance and accelerating the iterative development process.

The rise in the development of AI models specifically designed for code generation propels the market forward. These models might be fine-tuned on programming languages, frameworks, and software development contexts, making their suggestions even more relevant and accurate. For instance, GitHub Copilot is an AI-driven coding tool that GitHub, OpenAI, and Microsoft Corporation developed. This tool offers code suggestions in Visual Studio, Neovim, and JetBrains development environments. Its ability to suggest relevant code snippets and auto-completion can save time and effort while improving code quality and consistency.

By integrating generative AI and low-code, systems can autonomously manage tasks, reducing human involvement. Low-code software democratizes development within organizations, while generative AI enhances efficiency. This synergy could streamline app creation in low-code and no-code platforms, where AI generates code from visual input. According to Microsoft's Low-Code Signals 2023 report, 87% of innovation leaders and IT professionals anticipate improved utilization through increased AI and automation within low-code platforms.

Gather more insights about the market drivers, restrains and growth of the Generative AI In Coding Market

Generative AI In Coding Market Report Highlights

• Code Generation segment dominated the market with a revenue share of 37.4% in 2022. As software development becomes more pervasive across industries, the demand for code is increasing. Generative AI assists in meeting this demand by accelerating code production.

• The North America region dominated the market with a revenue share of 29.3% in 2022. The interconnected tech ecosystem in North America encourages cross-industry collaboration and knowledge-sharing, further fueling the adoption of generative AI in coding.

• The collaboration among AI research, hardware progress, and vast datasets drives market by furnishing developers with more potent and streamlined tools. These tools simplify coding tasks, resulting in enhanced efficiency and the creation of superior software products.

• As artificial intelligence gains more recognition for its effectiveness across industries, there's a rising interest in utilizing generative AI for coding, driven by its potential to enhance coding processes. This interest stems from understanding AI's value in improving coding efficiency.

Generative AI In Coding Market Segmentation

Grand View Research has segmented the global generative AI in coding market based on operation, application, industry vertical and regional.

Generative AI in Coding Operation Outlook (Revenue, USD Million; 2018 - 2030)

• Code Generation

• Code Enhancement

• Language Translation

• Code Reviews

Generative AI in Coding Application Outlook (Revenue, USD Million; 2018 - 2030)

• Data Science and Analytics

• Game Development and Design

• Web and Application Development

• IoT and Smart Devices

Generative AI in Coding Industry Vertical Outlook (Revenue, USD Million; 2018 - 2030)

• BFSI

• Media and Entertainment

• IT & Telecom

• Healthcare and Life Sciences

• Transport & Logistics

• Retail & E-commerce

Generative AI in Coding Regional Outlook (Revenue, USD Million; 2018 - 2030)

• North America

o U.S.

o Canada

• Europe

o U.K.

o Germany

o France

• Asia Pacific

o China

o Japan

o India

o South Korea

o Australia

• Latin America

o Brazil

o Mexico

• Middle East and Africa

o KSA

o UAE

o South Africa

List of Key Players in the Generative AI In Coding Market

• Codecademy

• CodiumAI

• DeepCode

• Google LLC

• IBMCorporation

• Microsoft Corporation

• NVIDIA Corporation

• OpenAI

• Tabnine

• Codota

Order a free sample PDF of the Generative AI In Coding Market Intelligence Study, published by Grand View Research.

[aihoshiino]

thoughts on the avemuji girls?

I LOVE EVERY SINGLE ONE OF THOSE FREAKSSSSSSSSSS

mortis and sakiko are my top faves... i like mutsumi and hatsune/uika as well, but i'm so mortis and sakipilled lol

Sakiko really hits on a lot of the same things that make Ai so compelling to me - the dehumanization that comes with being an abused person in a position of superficial privilege where your supposed wealth of opportunities are in total inverse to your actual happiness or ability to affect meaningful change in your life. AveMuji in general is really honed in on the horror of being a child at the mercy of the institution of 'family' (as I've talked about before), both of blood and of choice, & the way Sakiko as a character interacts with that and how her arc is shaped around it is sooooo juicy to me. Actually, it's funny that I made the comparison just off the back of The Horrors but now I'm thinking about it, the way Tomori and some of the other girls talk about CRYCHIC-era Saki is very Ai-coded in the way they gush about her warmth and light... what I wouldn't pay to put those two girls in a room together and let them talk.

Mortis is probably my #1 fave for much less complicated reasons of. i honestly can't even explain what it is, she just activates this maternal cuteness aggression inside of me. I want to take her to Burger King so she can get a little crown and throw fries at Sakiko's head. I think part of it is that I really love characters who have that kind of, like... reactive, childish aggression to them, trying extremely hard to be 'adult' and capable but lashing out in destructive and immature ways bc they are ultimately still just kids at the end of the day. Ryoko Shinonome from 13 Sentinels and Rika Kawai from Wonder Egg Priority are characters who scratch this same itch for me, even if they're very different characters on the surface & I think the three of them orbit a shared theme of like... being a child who was failed by adults and is now forced to try and parent yourself in their absence kind of thing. Obviously this is much more complicated with Mortis because that self-imposed duty of care is externalized onto Mutsumi but what in AveMuji ISN'T complicated.................

side note btw. did you know they turned her little doll form into a marketable plushie.

my friend lilith showed me this and when i blacked back in, i was staring at a 9000 yen amiami preorder confirmation email. Haunted Doll That Drinks All My Pepsi And Calls Me A Bitch.

Like I said tho I do also love Mutsumi!!! She touches on a lot of the same things Sakiko does that I find so compelling, especially with regards to familial abuse. I also think AveMuji (and MyGo ofc but I rewatched avemuji more recently so it's fresher in my head) does a really good job of getting you into Mutsumi's headspace when it comes to like, difficulty with communication - from other characters' perspectives, the way Mutsumi fumbles is probably super frustrating and inexplicable but getting us so deep into her head makes you really understand all the build up to these supposed slips of the tongue. In general the AveMyGO branch of Bandori is really good at these sorts of multi-faceted failures of communication and connection in a way I find soooooooo compelling.

Hatsune is another character who hits me in the Hoshino Ai centers of my brain LOL. She really is one of those characters who's kind of like... masks all the way down, so to speak. Even when she's finally cracking her heart open and holding the audience hostage to make them understand her, she can only do it by means of this one woman gothic soliloquy. Even in the privacy of her own mind, Hatsune can only express herself through performance. Ough there's so much I could say about her but I just find the ways in which AveMuji respects her enough to let her be ugly and selfish while also deeply empathizing with her pain but also being willing to hold her accountable for improving herself to be soooo satisfying.

I don't have a ton to say about Nyamu or Umiri unforch...! I'm sure there's side material that expands on them a bit more bc there's oceans of AveMuji concert & expanded material I haven't properly dove into yet but with my frame of reference mostly just being the show, there's not a ton for me to go off yet. I do like them both, tho! I think the basic ideas that make up their characters are good and their arcs are conveyed well enough, they just didn't have a ton of material for me to chew on and really get brainrotted about.

I think it's really funny that Nyamu starts off the show seeming like she's going to be the most antagonistic out of the girls but by the time we're seven episodes deep, she's like the only reasonable person in the entire show. Once again, the rest of the cast is such a freakshow that the YouTuber is the only normal person here............. i want to see a nyamuchi/mem-cho collab vid.............................

[a-star-of-galaxies]

Boycott Nintendo.

While I myself haven't ever bought, or wanted to buy, any Nintendo product of my own money, I would like to bring this to the attention of those who would, or have.

This is not my video; I am only sharing this. Please share this with others, or reblog, if you can. I'm not saying you must, I know how annoying that can be. But if you can, do.

tl;dw / video summarization under the break

With the future release of the Switch 2, the main thing people have noticed, and are upset about, is how high the prices are. Both for the console ($450–$500 USD) and the games themselves ($80–$90 USD). Not to mention, Switch 1 games hardly ever go down in price, or go on sale. While other consoles of newer generations hold games for similarly high prices, they can go on discount, or be bundled in a subscription for lower prices. Switch games don't do that,

Some Switch 2 games' physical copies will not have the actual game on the cartridge. However, the cartridge will contain nothing but a code, which will allow you to download the game onto the Switch 2 itself, and then only be able to play said game when the cartridge is inserted. (a/n: This is basically like the downsides of digital games (takes up storage space) mixed with the downsides of physical games (a small cartridge you could lose).)

This does not apply to any first-party games that we know of, but that doesn't mean this isn't a terrible feature. Physical copies of games are preferred by some due to the games not taking up digital storage space. This new system doesn't allow for that. This isn't necessarily a problem of games not having enough storage to fit on a cartridge. Bravely Default, a game which uses this new game-key card system, is only 11gb in size. The cartridges hold 64gb. There is no reason to be doing this. (a/n: btw im writing this by hand i promise you this is not an ai summary i would fuckin never do that. just wanted to clarify that mid-text to show im a real human :3 anyways.)

Nintendo's entire back catalogue of games are not legally accessible. Not only do you have to pay a higher-tier subscription of Nintendo Switch Online to access N64 and GBA (among others..?) games, but that's only a select few of their catalogue. The rest of those old games can only be acquired via purchasing second-hand or pirating. (a/n: And of course, Nintendo has been threatening legal action to websites hosting old ROMs, including Archive.org, which is worrying for the website's future.)

Gred Glintstone, the creator of the video, makes a comparison between this situation and what happened with the Xbox One, with having no pre-owned games and no easy way to lend a game to a friend. Microsoft didn't handle the backlash well, and thus lost the console war for that generation. They've been struggling to recover since, with Phil Spencer saying that it was a wakeup call and has driven them to be more consumer-friendly. With Nintendo falling down the same path, the same thing should happen to them; Nintendo needs a wakeup call.

They're not doing this to survive in the market. They're not just adjusting to inflation, and while the US tariffs are affecting a lot of things, that's not their main reason for this. Nintendo wouldn't go out of business if they sold their games at reasonable prices; they've got merchandise, a movie, even a whole theme park. They're upping the price for no reason other than corporate greed, and disrespect for the consumer.

Boycott Nintendo.

a/n: My summary of the video is a bit rearranged to flow better. Please watch the original video for more context and further information.

[marta-bee]

News of the Day 6/11/25: AI

Paywall free.

More seriously, from the NY Times:

"For Some Recent Graduates, the A.I. Job Apocalypse May Already Be Here" (Paywall Free)

You can see hints of this in the economic data. Unemployment for recent college graduates has jumped to an unusually high 5.8 percent in recent months, and the Federal Reserve Bank of New York recently warned that the employment situation for these workers had “deteriorated noticeably.” Oxford Economics, a research firm that studies labor markets, found that unemployment for recent graduates was heavily concentrated in technical fields like finance and computer science, where A.I. has made faster gains. [...] Using A.I. to automate white-collar jobs has been a dream among executives for years. (I heard them fantasizing about it in Davos back in 2019.) But until recently, the technology simply wasn’t good enough. You could use A.I. to automate some routine back-office tasks — and many companies did — but when it came to the more complex and technical parts of many jobs, A.I. couldn’t hold a candle to humans. That is starting to change, especially in fields, such as software engineering, where there are clear markers of success and failure. (Such as: Does the code work or not?) In these fields, A.I. systems can be trained using a trial-and-error process known as reinforcement learning to perform complex sequences of actions on their own. Eventually, they can become competent at carrying out tasks that would take human workers hours or days to complete.

I've been hearing my whole life how automation was coming for all our jobs. First it was giant robots replacing big burly men on factory assembly lines. Now it seems to be increasingly sophisticated bits of code coming after paper-movers like me. I'm not sure we're there yet, quite, but the NYT piece does make a compelling argument that we're getting close.

The real question is, why is this a bad thing? And the obvious answer is people need to support themselves, and every job cut is one less person who can do that. But what I really mean is, if we can get the outputs we need to live well with one less person having to put in a day's work to get there, what does it say about us that we haven't worked out a way to make that a good thing?

Put another way, how come we haven't worked out a better way to share resources and get everyone what they need to thrive when we honestly don't need as much labor-hours for them to "earn" it as we once did?

I don't have the solution, but if some enterprising progressive politician wants to get on that, they could do worse. I keep hearing how Democrats need bold new ideas directed to helping the working class.

More on the Coming AI-Job-Pocalypse

I’m a LinkedIn Executive. I See the Bottom Rung of the Career Ladder Breaking. (X)

Paul Krugman: “What Deindustrialization Can Teach Us About The Effects of AI on Workers” (X)

How AI agents are transforming work—and why human talent still matters (X)

AI agents will do programmers' grunt work (X)

At Amazon, Some Coders Say Their Jobs Have Begun to Resemble Warehouse Work (X)

Why Esther Perel is going all in on saving the American workforce in the age of AI

Junior analysts, beware: Your coveted and cushy entry-level Wall Street jobs may soon be eliminated by AI (X)

The biggest barrier to AI adoption in the business world isn’t tech – it’s user confidence  (X)

Experts predicted that artificial intelligence would steal radiology jobs. But at the Mayo Clinic, the technology has been more friend than foe. (X)

AI Will Devastate the Future of Work. But Only If We Let It (X)

AI in the workplace is nearly 3 times more likely to take a woman’s job as a man’s, UN report finds (X)

Klarna CEO predicts AI-driven job displacement will cause a recession (X)

& on AI Generally

19th-century Catholic teachings, 21st-century tech: How concerns about AI guided Pope Leo’s choice of name (X)

Will the Humanities Survive Artificial Intelligence? (X)

Two Paths for A.I. (X)

The Danger of Outsourcing Our Brains: Counting on AI to learn for us makes humans boring, awkward, and gullible. (X)

AI Is a Weapon Pointed at America. Our Best Defense Is Education. (X)

The Trump administration has asked artificial intelligence publishers to rebalance what it considers to be 'ideological bias' around actions like protecting minorities and banning hateful content. (X)

What is Google even for anymore? (X)

AI can spontaneously develop human-like communication, study finds

AI Didn’t Invent Desire, But It’s Rewiring Human Sex And Intimacy (X)

Mark Zuckerberg Wants AI to Solve America’s Loneliness Crisis. It Won’t. (X)

The growing environmental impact of AI data centers’ energy demands

Tesla Is Launching Robotaxis in Austin. Safety Advocates Are Concerned (X)

The One Big Beautiful Bill Act would ban states from regulating AI (X)

& on the Job-Pocalypse & Other Labor-Related Shenanigans Generally, Too

What Unions Face With Trump EOs (X)

AI may be exposing jobseekers to discrimination. Here’s how we could better protect them (X)

Jamie Dimon says he’s not against remote workers—but they ‘will not tell JPMorgan what to do’  (X)

Direct-selling schemes are considered fringe businesses, but their values have bled into the national economy. (X)

Are you "functionally unemployed"? Here's what the unemployment rate doesn't show. (X)

Being monitored at work? A new report calls for tougher workplace surveillance controls  (X)

Josh Hawley and the Republican Effort to Love Labor (X)

Karl Marx’s American Boom (X)

Hiring slows in U.S. amid uncertainty over Trump’s trade wars

Vanishing immigration is the ‘real story’ for the economy and a bigger supply shock than tariffs, analyst says (X)

[secularbakedgoods]

New story, plus a publishing fiasco

This is a crosspost of my newsletter! If you’d like to get posts like this direct to your inbox or RSS reader, you can subscribe here.

Book publisher Unbound went into administration (functionally, bankruptcy proceedings) last month. They've been behind on royalty payments to authors for a while (and openly intend to keep not paying them for the foreseeable future). It also looks like, in at least one case, they were deliberately under-reporting sales of books to stiff an author on royalties (which they weren't paying anyway).

Even in the world of commercial publishing, this is an act of soul-sucking evil. The author in question, Aaron Reynolds, apparently scrapped an entire book while operating under the belief that his previous one had flopped—when, in reality, it had sold out its print run.

Unbound (now Boundless) has announced they intend to continue operating. I have no idea how. After this clusterfuck, I don't see any author in their right mind signing with them.

New Flash Fiction: "Fifth of November"

From what Jay had heard, people who’d been in war zones tended not to enjoy fireworks all that much—especially when those fireworks were going off randomly in their neighbourhoods. Moran hadn’t said anything about it, but their relationship (for lack of a better word) wasn’t exactly at the trauma-sharing stage.

Jay Moriarty and Sebastian Moran spend Bonfire Night together in this brief interlude, which takes place between "Sebastian Moran Gets Mauled by a Tiger" and "Jay Moriarty Ruins Everybody’s Childhood." You can read it for free here!

This Week's Links

Builder.ai collapses after revelation that its "AI" was hundreds of engineers

For eight years, Builder.ai marketed its "Natasha" AI system as a fully autonomous tool that could build software "as easily as ordering pizza." However, internal documents and employee accounts reviewed by Bloomberg paint a sharply different picture. Engineers in Noida and Bangalore manually coded client projects while being instructed to mimic AI-generated responses.

‘It’s a Weird Time to Be Rich Right Now’

“In times past, wealthy people were considered aspirational figures. Now, it’s more like, ‘If you’re wealthy, you did something wrong. You cannot be a billionaire without being a criminal. The system is stacked against the rest of us.’ And that has gotten louder and louder, and my clients are hearing it, and it’s disturbing to them.”

Tim Friede, Herpetologist

Tim Friede has made it his life goal to help scientists develop a universal anti-venom by allowing himself to be bitten repeatedly by venomous snakes.

---

I think I've figured out how to engagement-bait on LinkedIn. There is no way to use this power for good. Only evil.

-K

[wickedsnack-art]

Can I ask about your online selling experience? I know you're moving away from Etsy (and I don't blame you!) but just curious about what's worked/what hasn't. Trying to help my mom sell her art but like. She's older and I have never sold art online and can't give her any advice.

Please feel free to tag other artists selling their work as well! Thank you 🙏

Oh I have to be honest I am probably not the best person to ask about this as it's something I've definitely struggled with myself! I will say for what it's worth that I've been seeing a lot of artists struggling lately; no matter how "popular" an artist is, many seem to be reporting sales that are lower than expected even if market research/interest checks/preorders were done.

Everyone is struggling financially right now---it's been this way for YEARS---and art is one of the first luxuries to go.

That said, Etsy worked well for me for a long time. If your mom isn't doing fanart, she should be fine, because my biggest issue with them arose about the fact that I was selling fanart. Some tips I have;

USE EVERY TAG. Etsy has, if I recall correctly, 13 tags you can put on an individual item. Use all 13. Use them for alternative words for what you're selling (if it's a sticker, tag it as a decal, if it's a print, tag it as a poster). Think about who you think would buy this and what weird search terms they may use to try to find it, and think about alternative uses for the item (a trinket dish might also be an ashtray).

HAVE DESCRIPTIVE TITLES. Put the most important words first so people can see what they're getting right away, but don't be afraid of slightly longer titles. Honestly my titles could've and should've been longer, like Sailor Moon Art Nouveau Digital Art Poster Print Multiple Sizes or something.

RUN SALES OFTEN. Even if it's just 10-15% off people will buy something they've been eying for a while when there's a sale, or they'll feel more eager to buy something they've just found if it's on sale.

USE ETSY'S AUTOMATED DISCOUNT OFFERS. Etsy can automatically send a discount code to people who have interacted with your shop, use it. I made more sales from the automated 10% off code sent to people who favorited items than my monthly Patreon discount.

USE ETSY FREE SHIPPING. Shipping via Etsy is pretty cheap, and activating the "free shipping on orders over $35" will boost your spot in the algorithm, will boost the likelihood that people will order from you, and will boost the average cart size of people that order from you.

I RECOMMEND PRINTFUL. I used Printful for selling my larger prints, but they also offer other items if you want to branch out. If you don't want to get in trouble with Etsy, make sure you register it as a manufacturing partner and assign every item that Printful makes for you. Dropshipping on Etsy is a problem, but the problem is people who steal art or use AI to generate images to sell. I don't personally see a problem with someone who makes their art themselves going through a print shop to sell products they don't have the means to create at home. If you don't want to do that, you can check out inprnt. I haven't used them, but many other people have and seem to like it well enough.

SHIP THROUGH ETSY. It doesn't take very long to set up a shipping profile for your items, and it makes shipping easier and cheaper. As long as you get your items out on time, you'll get their shipping star or whatever very quickly and easily and maintain it without problem. It also has the benefit that if a buyer ever has an issue with the shipping, Etsy is more likely to have your back. If for any reason you can't ship through Etsy, I recommend pirateship. Also!! Be more careful about international shipping than you think you should be. There are a lot of confusing international laws regarding sending items as a corporation to those countries that you may not expect, so before you agree to selling something to a foreign country, make sure you check their laws.

I have also tried having an Instagram shop and I'll be fully honest I don't do what I should do with my Instagram. Maybe other people have more successful Instagram shops, but the process it took for me to get it started compared to how many sales I've made as a result of it (literally ZERO), I would not recommend it.

Shopify is good if you have a following somewhere, because you have to bring all the traffic there yourself. That's the benefit of Etsy and Instagram; they are able to make traffic for you. I've never had a following large enough anywhere to feel like I could run a Shopify of my art. Maybe one day.

I don't personally know a lot of artists who sell online successfully, so if you see this and you fall under that category PLEASE SHARE TIPS!!

[mifiada]

MifiadaHome Starting a Brand | AI in Brand Marketing: Can AI Pave the Path to Social Media Millions? Episode 1

A current MSc Marketing student, I often find myself researching into the world of Digital Marketing more specifically overnight 'virilisation' and furthermore the 'social media millions' that so many millennials dream of. With the glamorous lives of social media influences further demonstrating how fame and fortune can be attained by generating a large audience through social media virilisation, the question arises: is it attainable for the average millennial like you or me, who is not famous, nor born of privilege, but armed with a mobile phone and big dreams?

The Allure of Virality: A Millennials Obsession?

Debunking the myth behind AI, particularly tools such as ChatGPT or Gemini, being the holy grail to attaining overnight success. With AI gurus filling our #fyp with heavy promises of achieving financial freedom and escaping from the controversial 9-to-5, every millennial's dream of monetising their passion. Unfortunately, the harsh reality is that viral moments are fleeting, unpredictable, and even when attained, to reach social media stardom and replicate said moment, this often becomes impossible. Initially, understanding being virality is more to do with luck and an intangible 'it' factor than any replicable strategy.

AI as the Navigator in the Viral Storm?

My perspective on AI begins to shift with the discovery of a specific software called Kling AI. The pursuit of 'virality', as I now understand it, isn't just about random chance; it's about optimising efforts for maximum shareability and resonance.

My previous reflection within the topic focused on AI's ability to understand audiences, and craft compelling narratives, and identify your inner influencer abilities. Now, I see how these capabilities directly feed into the virilisation equation. If Tuten & Solomon (2015) emphasised engagement and relationship, then 'Kling AI' takes that a step further by identifying the optimal points of engagement that trigger sharing. Imagine an AI that doesn't just tell you what your audience likes, but what they are most likely to share with their network. This isn't about creating a viral hit from scratch, but about increasing the probability of viral spread for well-crafted content.

Storytelling for Shareability: The AI Edge?

The power of a narrative, as Van Laer et al. (2014) articulated, lies in its ability to transport an audience. To go viral, you need to be more than just author; but rather transcend your audiences mind to a world which was previously unknown, a subtle but crucial distinction.

With cutting edge animation 'Kling AI's' ability to tell a story is unmatched. It also enables past performance analysis to better develop storylines, this is powerful for identifying stories that better resonates with the audience, which would propel people to share them this could be:

Addictive Content:

-Emotional hook

-Surprising twist

-Universal truth

A cheat code to knowing what design, colour scheme, theme has previous resulted in higher viewer count, moves past the guessing game or what others might deem luck but rather the ability to make data driven creative decisions.

The Conclusion: How do you amplify Organic Reach?

Rosenbaum's (2011) "Curation Nation" this concept demonstrates the active role users play in content creation. The need for community is seen in other words as an engine of virality. Through the play of consistency, this doesn't leave process of becoming viral to chance but rather through sawing seed via more than one social platform, it allows for the opportunity of it flourishes sparking a chair reaction for the creator to then replicate said moment.

Reference List:

Rosenbaum, S. (2011) Curation Nation: How to Win in a World Where Consumers are Creators. New York: McGraw-Hill.

Tuten, T.L. and Solomon, M.R. (2015) Social Media Marketing. 2nd edn. London: Sage Publications.

Van Laer, T., De Ruyter, K., Visconti, L.M. and Wetzels, M. (2014) ‘The Extended Transportation-Imagery Model: A Meta-Analysis of the Antecedents and Consequences of Consumers’ Narrative Transportation’, Journal of Consumer Research, 40(5), pp. 797–817. https://doi.org/10.1086/673383

[jcmarchi]

Moments Lab Secures $24 Million to Redefine Video Discovery With Agentic AI

New Post has been published on https://thedigitalinsider.com/moments-lab-secures-24-million-to-redefine-video-discovery-with-agentic-ai/

Moments Lab Secures $24 Million to Redefine Video Discovery With Agentic AI

Moments Lab, the AI company redefining how organizations work with video, has raised $24 million in new funding, led by Oxx with participation from Orange Ventures, Kadmos, Supernova Invest, and Elaia Partners. The investment will supercharge the company’s U.S. expansion and support continued development of its agentic AI platform — a system designed to turn massive video archives into instantly searchable and monetizable assets.

The heart of Moments Lab is MXT-2, a multimodal video-understanding AI that watches, hears, and interprets video with context-aware precision. It doesn’t just label content — it narrates it, identifying people, places, logos, and even cinematographic elements like shot types and pacing. This natural-language metadata turns hours of footage into structured, searchable intelligence, usable across creative, editorial, marketing, and monetization workflows.

But the true leap forward is the introduction of agentic AI — an autonomous system that can plan, reason, and adapt to a user’s intent. Instead of simply executing instructions, it understands prompts like “generate a highlight reel for social” and takes action: pulling scenes, suggesting titles, selecting formats, and aligning outputs with a brand’s voice or platform requirements.

“With MXT, we already index video faster than any human ever could,” said Philippe Petitpont, CEO and co-founder of Moments Lab. “But with agentic AI, we’re building the next layer — AI that acts as a teammate, doing everything from crafting rough cuts to uncovering storylines hidden deep in the archive.”

From Search to Storytelling: A Platform Built for Speed and Scale

Moments Lab is more than an indexing engine. It’s a full-stack platform that empowers media professionals to move at the speed of story. That starts with search — arguably the most painful part of working with video today.

Most production teams still rely on filenames, folders, and tribal knowledge to locate content. Moments Lab changes that with plain text search that behaves like Google for your video library. Users can simply type what they’re looking for — “CEO talking about sustainability” or “crowd cheering at sunset” — and retrieve exact clips within seconds.

Key features include:

AI video intelligence: MXT-2 doesn’t just tag content — it describes it using time-coded natural language, capturing what’s seen, heard, and implied.

Search anyone can use: Designed for accessibility, the platform allows non-technical users to search across thousands of hours of footage using everyday language.

Instant clipping and export: Once a moment is found, it can be clipped, trimmed, and exported or shared in seconds — no need for timecode handoffs or third-party tools.

Metadata-rich discovery: Filter by people, events, dates, locations, rights status, or any custom facet your workflow requires.

Quote and soundbite detection: Automatically transcribes audio and highlights the most impactful segments — perfect for interview footage and press conferences.

Content classification: Train the system to sort footage by theme, tone, or use case — from trailers to corporate reels to social clips.

Translation and multilingual support: Transcribes and translates speech, even in multilingual settings, making content globally usable.

This end-to-end functionality has made Moments Lab an indispensable partner for TV networks, sports rights holders, ad agencies, and global brands. Recent clients include Thomson Reuters, Amazon Ads, Sinclair, Hearst, and Banijay — all grappling with increasingly complex content libraries and growing demands for speed, personalization, and monetization.

Built for Integration, Trained for Precision

MXT-2 is trained on 1.5 billion+ data points, reducing hallucinations and delivering high confidence outputs that teams can rely on. Unlike proprietary AI stacks that lock metadata in unreadable formats, Moments Lab keeps everything in open text, ensuring full compatibility with downstream tools like Adobe Premiere, Final Cut Pro, Brightcove, YouTube, and enterprise MAM/CMS platforms via API or no-code integrations.

“The real power of our system is not just speed, but adaptability,” said Fred Petitpont, co-founder and CTO. “Whether you’re a broadcaster clipping sports highlights or a brand licensing footage to partners, our AI works the way your team already does — just 100x faster.”

The platform is already being used to power everything from archive migration to live event clipping, editorial research, and content licensing. Users can share secure links with collaborators, sell footage to external buyers, and even train the system to align with niche editorial styles or compliance guidelines.

From Startup to Standard-Setter

Founded in 2016 by twin brothers Frederic Petitpont and Phil Petitpont, Moments Lab began with a simple question: What if you could Google your video library? Today, it’s answering that — and more — with a platform that redefines how creative and editorial teams work with media. It has become the most awarded indexing AI in the video industry since 2023 and shows no signs of slowing down.

“When we first saw MXT in action, it felt like magic,” said Gökçe Ceylan, Principal at Oxx. “This is exactly the kind of product and team we look for — technically brilliant, customer-obsessed, and solving a real, growing need.”

With this new round of funding, Moments Lab is poised to lead a category that didn’t exist five years ago — agentic AI for video — and define the future of content discovery.

[mariacallous]

The launch of ChatGPT-3.5 at the end of 2022 captured the world’s attention and illustrated the uncanny ability of generative artificial intelligence (AI) to produce a range of seemingly human-generated content, including text, video, audio, images, and code. The release, and the many eye-catching breakthroughs that quickly followed, have raised questions about what these fast-moving generative AI technologies might mean for work, workers, and livelihoods—now and in the future, as new models are released that are potentially much more powerful. Many U.S. workers are worried: According to a Pew Research Center poll, most Americans believe that generative AI will have a major impact on jobs—mainly negative—in the next two decades. 

Despite these widely shared concerns, however, there is little consensus on the nature and scale of generative AI’s potential impacts and how—or even whether—to respond. Fundamental questions remain unanswered: How do we ensure workers can proactively shape generative AI’s design and deployment? What will it take to make sure workers benefit meaningfully from its gains? And what guardrails are needed for workers to avoid harms as much as possible? 

These animating questions are the heart of this report and a new multiyear effort we have launched at Brookings with a wide range of external collaborators. Through research, worker-centered storytelling, and cross-sector convenings, we aim to enhance public understanding, inform policymakers and employers, and shape our societal response toward a future where workers benefit meaningfully from AI’s gains and, as much as possible, avoid its harms. 

In this report, we frame generative AI’s stakes for work and workers and outline our concerns about the ways we are, collectively, underprepared to meet this moment. Next, we provide insights on the technology and its potential impact on jobs, drawing on our analysis of detailed data from OpenAI (described here) that explores task-level exposure for over a thousand occupations in the labor market. Finally, we discuss three priority areas for a proactive response—employer practices, worker voice and influence, and public policy levers—and highlight immediate opportunities as well as gaps that need to be addressed. Throughout the report, we draw on insights from a recent Brookings workshop we convened with more than 30 experts from different disciplines—policy, business innovation and investment, labor, academic and think tank research, civil society, and philanthropy—to grapple with those fundamental questions about AI, work, and workers. 

The scope of this report is more limited than the full suite of concerns about AI’s impact on workers. Conscious that our effort builds on an already robust body of academic work, dedicated expertise, and policy momentum on key aspects of job quality and harms from AI (including privacy, surveillance, algorithmic management, ethics, and bias), our primary focus is addressing some of generative AI’s emerging risks for which society’s response is far less developed, especially risks to livelihoods. 

[industrynewsupdates]

A Comprehensive Overview of Generative AI In Coding Market Landscape

The global generative AI in coding market size is expected to reach USD 106.3 million by 2030, according to a new report by Grand View Research, Inc. The market is anticipated to expand at a CAGR of 25.2% from 2023 to 2030. Generative AI's impact on coding rapidly expands as developers use advanced models and successors to streamline software development. These models generate code snippets, offer creative solutions, automate documentation, enhance code comprehension, and enable rapid prototyping. As the technology evolves, its ability to address diverse programming languages and specific domains grows, empowering developers with efficient coding assistance and accelerating the iterative development process.

The rise in the development of AI models specifically designed for code generation propels the market forward. These models might be fine-tuned on programming languages, frameworks, and software development contexts, making their suggestions even more relevant and accurate. For instance, GitHub Copilot is an AI-driven coding tool that GitHub, OpenAI, and Microsoft Corporation developed. This tool offers code suggestions in Visual Studio, Neovim, and JetBrains development environments. Its ability to suggest relevant code snippets and auto-completion can save time and effort while improving code quality and consistency.

By integrating generative AI and low-code, systems can autonomously manage tasks, reducing human involvement. Low-code software democratizes development within organizations, while generative AI enhances efficiency. This synergy could streamline app creation in low-code and no-code platforms, where AI generates code from visual input. According to Microsoft's Low-Code Signals 2023 report, 87% of innovation leaders and IT professionals anticipate improved utilization through increased AI and automation within low-code platforms.

Gather more insights about the market drivers, restrains and growth of the Generative AI In Coding Market

Generative AI In Coding Market Report Highlights

• Code Generation segment dominated the market with a revenue share of 37.4% in 2022. As software development becomes more pervasive across industries, the demand for code is increasing. Generative AI assists in meeting this demand by accelerating code production.

• The North America region dominated the market with a revenue share of 29.3% in 2022. The interconnected tech ecosystem in North America encourages cross-industry collaboration and knowledge-sharing, further fueling the adoption of generative AI in coding.

• The collaboration among AI research, hardware progress, and vast datasets drives market by furnishing developers with more potent and streamlined tools. These tools simplify coding tasks, resulting in enhanced efficiency and the creation of superior software products.

• As artificial intelligence gains more recognition for its effectiveness across industries, there's a rising interest in utilizing generative AI for coding, driven by its potential to enhance coding processes. This interest stems from understanding AI's value in improving coding efficiency.

Generative AI In Coding Market Segmentation

Grand View Research has segmented the global generative AI in coding market based on operation, application, industry vertical and regional.

Generative AI in Coding Operation Outlook (Revenue, USD Million; 2018 - 2030)

• Code Generation

• Code Enhancement

• Language Translation

• Code Reviews

Generative AI in Coding Application Outlook (Revenue, USD Million; 2018 - 2030)

• Data Science and Analytics

• Game Development and Design

• Web and Application Development

• IoT and Smart Devices

Generative AI in Coding Industry Vertical Outlook (Revenue, USD Million; 2018 - 2030)

• BFSI

• Media and Entertainment

• IT & Telecom

• Healthcare and Life Sciences

• Transport & Logistics

• Retail & E-commerce

Generative AI in Coding Regional Outlook (Revenue, USD Million; 2018 - 2030)

• North America

o U.S.

o Canada

• Europe

o U.K.

o Germany

o France

• Asia Pacific

o China

o Japan

o India

o South Korea

o Australia

• Latin America

o Brazil

o Mexico

• Middle East and Africa

o KSA

o UAE

o South Africa

Order a free sample PDF of the Generative AI In Coding Market Intelligence Study, published by Grand View Research.

[dpfocu]

OpenAI’s 12 Days of “Shipmas”: Summary and Reflections

Over 12 days, from December 5 to December 16, OpenAI hosted its “12 Days of Shipmas” event, revealing a series of innovations and updates across its AI ecosystem. Here’s a summary of the key announcements and their implications:

Day 1: Full Launch of o1 Model and ChatGPT Pro

OpenAI officially launched the o1 model in its full version, offering significant improvements in accuracy (34% fewer errors) and performance. The introduction of ChatGPT Pro, priced at $200/month, gives users access to these advanced features without usage caps.

Commentary: The Pro tier targets professionals who rely heavily on AI for business-critical tasks, though the price point might limit access for smaller enterprises.

Day 2: Reinforced Fine-Tuning

OpenAI showcased its reinforced fine-tuning technique, leveraging user feedback to improve model precision. This approach promises enhanced adaptability to specific user needs.

Day 3: Sora - Text-to-Video

Sora, OpenAI’s text-to-video generator, debuted as a tool for creators. Users can input textual descriptions to generate videos, opening new doors in multimedia content production.

Commentary: While innovative, Sora’s real-world application hinges on its ability to handle complex scenes effectively.

Day 4: Canvas - Enhanced Writing and Coding Tool

Canvas emerged as an all-in-one environment for coding and content creation, offering superior editing and code-generation capabilities.

Day 5: Deep Integration with Apple Ecosystem

OpenAI announced seamless integration with Apple’s ecosystem, enhancing accessibility and user experience for iOS/macOS users.

Day 6: Improved Voice and Vision Features

Enhanced voice recognition and visual processing capabilities were unveiled, making AI interactions more intuitive and efficient.

Day 7: Projects Feature

The new “Projects” feature allows users to manage AI-powered initiatives collaboratively, streamlining workflows.

Day 8: ChatGPT with Built-in Search

Search functionality within ChatGPT enables real-time access to the latest web information, enriching its knowledge base.

Day 9: Voice Calling with ChatGPT

Voice capabilities now allow users to interact with ChatGPT via phone, providing a conversational edge to AI usage.

Day 10: WhatsApp Integration

ChatGPT’s integration with WhatsApp broadens its accessibility, making AI assistance readily available on one of the most popular messaging platforms.

Day 11: Release of o3 Model

OpenAI launched the o3 model, featuring groundbreaking reasoning capabilities. It excels in areas such as mathematics, coding, and physics, sometimes outperforming human experts.

Commentary: This leap in reasoning could redefine problem-solving across industries, though ethical and operational concerns about dependency on AI remain.

Day 12: Wrap-Up and Future Vision

The final day summarized achievements and hinted at OpenAI’s roadmap, emphasizing the dual goals of refining user experience and expanding market reach.

Reflections

OpenAI’s 12-day spree showcased impressive advancements, from multimodal AI capabilities to practical integrations. However, challenges remain. High subscription costs and potential data privacy concerns could limit adoption, especially among individual users and smaller businesses.

Additionally, as the competition in AI shifts from technical superiority to holistic user experience and ecosystem integration, OpenAI must navigate a crowded field where user satisfaction and practical usability are critical for sustained growth.

Final Thoughts: OpenAI has demonstrated its commitment to innovation, but the journey ahead will require balancing cutting-edge technology with user-centric strategies. The next phase will likely focus on scalability, affordability, and real-world problem-solving to maintain its leadership in AI.

What are your thoughts on OpenAI’s recent developments? Share in the comments!

[0perfectimperfections0]

Hi fellow doll, I hope you're doing fine. I've been quite busy lately, college and life in general have been kicking my ass, so I was forced to take a step back from social media for a while to try to contain the chaos.

Firstly, I'd like to share a fun fact with you! I don't know if you're aware but did you know that Lou's Mansion has a Pool? You can see it more clearly in the Mansion's Concept Designs/Art on this site:

•https://www.claytonstillwell.com/ugly-dolls#23

However, the real reason for this ask is to present a possible answer/theory in regards to how the doll-sized phones came to be in the world of your stories (you can tell this is still related to our chat on Wattpad).

Recently, I came across the images you're seeing on Pinterest. They're Wide/Aerial Views of the Institute of Perfection and one thing that immediately stood out to me is that Giant Eye-Catching Dome behind the TV.

I mean what's its purpose, why is it even there to begin with and what's inside of it? I've been thinking about this for a while and would like to hear your thoughts about it as well, if you're willing to share them.

By any chance, have you seen the movie Wreck-it Ralph? There was a part where the villain enters the code of the game he's in and I think the Dome's purpose could follow a similar, if not equal, vein.

Now that I think about it, Lou and Vanellope's circunstances are almost identical, trapped in the same place for years without the option to leave, simply because of who they are and the traits they were born with, but didn't choose to have.

Sorry, I let my mind run on tangent there for a while, it wanders frequently which makes it hard to keep track of my line of thought.

To circle back to the main topic of discussion, what if the Dome is a Central Station of the Institute, like a Panel or Center for Command Control (or Command Control Center)? CCC for short? Ok, I'll stop trying to be funny...

Perhaps it could be a subroutine of the factory's software, a program linked to its network and wifi that contains all guidelines and rules that govern the Institute and must be followed and executed to keep it functional - a blueprint if you will - and is in charge of all commands, protocols, activities and operations being compiled and run by its machinery, such as the doll-scanner, the robots, the washing machine, the recycling, the Gauntlet plus the mechanical baby and dog and the Portal, just to name a few.

This means that it'd also take care of overseeing the integrity and performance of said machinery as well as its maintenance. It'd even be responsible for generating clouds and the artificial weather because apparently weather is still a thing, even though the Institute is inside of a factory.

I wonder if this subroutine would be run by an AI or simply an intelligent system/computer program. This world's version of Siri? 🤣

Or maybe I'm greatly exaggerating its function/letting my imagination run wild and it literally only gives Electricity for TV and Institute. Where was I going with this? /were we again?

Morever, it could be a storage unit that contains all collected, analysed and reviewed data regarding the inhabitants of the Institute and their responses, physical or emotional, to certain pre-determined stimuli.

It could also have a list of the factory's Perfection Standards: what consists/constitutes a Perfect Doll / product, its traits...

what can go to the market and which flaws/imperfections can't be ignored/overlooked and have to go to the recycling immediately, kinda like separating fruit/food

To sum up, it's the Institute's "rulebook", but instead of being specifically made for the prototype, it's more expansive and focuses on the Institute as a whole.

After the events of the movie, dolls with engineer role job created phones with recicled parts dangerous/turned the recycling into a good thing/while recycling was turned of and parts are human sized, plenty to spare and create phone since dolls come back now, have free time to assemble the parts and construct them and connected them to the signals/frequency emitted by the dome or they hack/steal or find out the password/'hijack' the signals🤣, use it to make them connect with each other but can't enter the dome without proper authorizations/permissions

Fun fact #2: Lou animatronic, would be a hipocrite if he called the Uglydolls "Ugly" has never seen a Mirror before

•https://www.indigobluepencil.com/ugly

Scroll almost to the middle (pre-planned concepts: dome by TV and washing machine, Big baby, Lou, Mandy, Tuesday and Kitty, Victoria, Perfection Council/of Dolls=board of investors directors reference)

•https://www.scottfassett.com/uglydolls-gallery

Had to restart Two Times... I hope you found this ask both entertaining and informative. Hopefully it'll give you Inspiration for your stories...

Okay, I had to do quite a bit of research and asked someone who knows a lot more about computers than I do.

So, I do agree that the dome has an electronic purpose. It really surprises me that STX animated an entire dome within the Institute and literally spoke nothing of it or what's inside of it. Like, seriously, it's huge and can't just be empty on the inside.

My theory, after some research, is that the inside of the dome is essentially a hard drive computer tower. For you younger folk who weren't raised in a 90's home, here's what I'm talking about:

These things right here used to be what would get hooked up to older Dell/Windows computers. The ones that weighed, like, 50 pounds and took up an entire desk.

Instead of a dvd player (which I didn't get one until maybe 8 years old) I would stick my Kidz Bop cd or movie into that slot at the top and watch the movie on the computer with Video Player.

Count your blessings.

But this is what I believe is inside that dome. These things are what holds the CPU (central processing unit), GPU (graphic processing unit), and stores the memory, data, audio, and everything of the computer.

@natalie-the-writer and I have a running fanon that the company is older. The technology is older, the building is older, and everything is set in a pretty retro time period. So, this hard drive tower is connected to those bulky take-up-all-the-space-on-the-desk-computers.

The GPU in this system is also what control the day/night cycle in the Institute and the weather. It essentially simulates a troposphere and an environment that makes the dolls comfortable and prepared for the Big World.

The CPU is how the data is transferred. Info from the robots is controlled and processed, the Individualization scanners are monitored, the portal is opened and closed, the TV runs, and the holographic tutorials Moxy and her friends see in the beginning are kept on, all of it.

It basically functions as the brain of the Institute, but the sole controller and monitor of it is the CEO (Greyson Everett).

I also like to think that Lou's microchip (another fanon thought between Natalie and I) is also monitored via this hard drive tower. Any information that Lou learns and processes is sent into separate files on the computers back in the company building.

This is why in my Shell-Shock series, when Lou's emotions go south, the Institute begins to get windy when he's hyperventilating or rains when he cries. The ground trembles when he has body tremors and the lights flicker when his powers are used. He is literally connected to the whole Institute because his microchip and its data accidentally grow and manifest themselves into the files of the other Institute functions. His programming basically goes rogue and infects the Institute system like a virus.

I'm veering toward the explanation that results in Lou being the first successful form of Artificial Intelligence. But, for the moment, he is basically acting like a virus and it's not until he learns to control this new system he's connected to that it stops becoming a deadly thing.

[chaoskirin]

Have you found that you’ve been less motivated to create art now that AI has become so good?

I don’t really draw anymore because whenever I start a new drawing, I’m immediately plagued by thoughts like, why even bother? This piece is going to take hours when, theoretically, I could ask Mid-journey to do it for me and it would take about 10 seconds and probably look way better. So like, why should I even try?

I’m at college getting a degree in illustration but I’m afraid that by the time I graduate and get out into the field, I won’t have any job prospects. Human artists are becoming increasingly obsolete in the corporate world and I feel like nobody is going to want to hire me. I mean, from a shitty CEO’s perspective, why hire human artists when AI is right there? It’s faster and cheaper. Many established studio and corporate artists are already being fired in droves. We’re seeing it happen in real time.

I feel like I’m fighting a losing battle. AI has drained me of my creativity and my future job security. I’ve lost interest in one of my dearest hobbies and my degree may end up becoming completely useless. I loathe AI for the way it has stripped me of something I’ve dedicated so many years of my life to. Something that was once so precious to me.

I feel that I’ve spent thousands of hours honing a now useless skill. And that really sucks.

Sorry for ranting in your inbox, I hope you don’t mind… but since you are a working adult and do art and writing (of course writing AI has gotten stupid good as well and I’m bitter about that too) professionally, and as a hobby too, I figured that you would definitely understand.

Hey! This is a great question, and I have what I hope is a very hope-filled answer.

By the way, I don't call image generation "AI." It's not. There's no actual intelligence involved. It's an algorithm that averages images and combines them into something new. I refer to it as GenSlop.

First, the reason you're seeing such a proliferation of image generators attaching their dirty little claws into every website on the internet is due to what I call "just-in-casing." Rather than develop an ACTUAL ethical image generator (which would only use images from creative commons or pay artists for their use) generators like Deviantart's DreamUp and Twitter's Grok (?????? wtf is that name) have just stuffed LAION-5 into their code and called it a day.

Why? Why not wait and create an ethical dataset over several years?

Because it's become more likely than not than image generation is going to become strictly regulated by law, and companies like DA, Stability, Twitter, Adobe, and many others want to profit off it while it's still free and "legal."

I say "legal" in quotes, because at the moment, it's neither legal nor illegal. There are no laws in existence to govern this specific thing because it appeared so fast, there was literally no predicting it. So now it's in a legal grey area where it can't be prosecuted by US courts. (But it can be litigated--more on that in a bit.)

When laws are passed to govern the use of image generators, these companies that opted to use LAION-5 immediately without concern for the artists and communities they were harming will have to stop. but because of precedent, they will likely have their prior use of these generators forgiven, meaning they will not be forced to pay fines on their use before a certain date.

So while it seems they're popping up everywhere and taking over the art market, this is only so they can get in their share of profits from it before it becomes illegal to use them without compensation or consent.

But how do I know the law will support artists on this?

First, litigation. There are several huge lawsuits right now; one notable lawsuit against almost every major company using GenSlop technology with plaintiffs like Karla Ortiz and Grzegorz Rutkowski, among other high-profile artists. This lawsuit was recently """pared down""" or """mostly dismissed""" according to pro-GenSlop users, but what really happened is that the judge in the case asked the plaintiffs to amend their complaint to be more specific, which is generally a positive thing in cases like this. It means that precedent after a decision will be far clearer and have a longer reach than a more generalized complaint.

I don't know what pro-GenSloppers are insisting on spreading the "dismissal" tale on the internet, except to discourage actual artists. What they say has no bearing in the court, and it's looking more and more likely that the plaintiffs will be able to win this case and claim damages.

Getty Images, a huge image stock company, is also suing Stability AI for scraping its database. I'm not as well-versed on the case, though.

The other positive, despite what a lot of artists are saying, is the new SAG-AFTRA contract.

It's not perfect. It still allows GenSlop use. But it does require consent and compensation. Ideally, it would ban the use of artist images and voice entirely, but this contract is far better than what they would have gotten without striking. If you recall, before the strike, the AMPTP wanted to be able to use actor images and voices without any compensation or permission, without limitation.

And you can bet your ass that Hollywood isn't going to allow other organizations to have unregulated GenSlop use if they can't. They might even step in to argue against its use in front of congress, because their outlook is going to be "if we can't make money stealing art, no one else should be able to, either."

TL;DR: the huge proliferation of image generators and GenSlop right now is only because it's neither legal nor illegal. Regulations are coming, and artists will still be necessary and even required. Because the world is essentially built on a backbone or artistry.

I personally can't wait to drink the tears of all the techbros who can't steal art anymore.

[rx-review]

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Cracking the Code: Manifesting Success with AI-Driven Marketing Strategies

As the domain of marketing technology continues to grow at a rapid pace and is driven by growth in artificial intelligence (AI) and personalization, marketers encounter exciting opportunities as well as daunting challenges. Adapting to these changes requires practical approaches that allow organizations to stay current, manage change effectively, and operate at scale.

In this article, we explore five practical tactics to help modern marketing teams adapt and thrive in this dynamic environment:

Embrace More 'Human' Customer Engagement Technology:

While chatbots have been around for decades, advancements in AI have significantly enhanced their capabilities. Today, AI-powered chatbots can engage with customers in a remarkably human-like manner, providing round-the-clock support and valuable insights.

Leveraging chatbots not only improves customer experience but also generates valuable data for outbound marketing initiatives. By analyzing customer queries and interactions, marketers can easily get valuable data that can enhance their marketing strategies.

Harness Customer Data Responsibly:

Customers willingly share personal information with companies, providing valuable insights into their preferences, behaviours, and sentiments. Marketers must mine this data responsibly and use it to deliver personalized experiences and targeted offers.

By leveraging predictive analytics and machine learning, marketers can analyze data faster and make informed decisions to enhance omnichannel marketing efforts.

Utilize Content Repurposing Tools:

Authentic content remains paramount in marketing, but creating content for various channels and platforms can be challenging. Content repurposing tools like Optimizely and Interaction Studio help marketers adapt long-form content into social media posts, videos, and other formats.

Expanding your content footprint not only enhances brand visibility but also allows for faster learning and adaptation to changing market dynamics.

Invest in Upskilling Your Team:

While AI-based tools offer significant automation potential, managing and mastering these technologies require skilled professionals. Marketers must invest in continuous learning and cross-functional collaboration to stay ahead.

Effective leadership and teamwork are essential for navigating the complexities of modern marketing. Encouraging knowledge sharing and collaboration across teams fosters a culture of innovation and growth.

Embrace Transformational Opportunities:

As AI continues to reshape the marketing landscape, traditional metrics of success are being redefined. Marketers must embrace the transformative potential of AI and other emerging technologies to serve their customers better.

When evaluating new ideas and technologies, marketers should prioritize customer value and align them with their brand and company values. By focusing on solutions that genuinely benefit customers, marketers can drive meaningful impact and success.

In conclusion, navigating the ever-evolving domain of AI-driven marketing requires a blend of innovative strategies and steadfast principles. By embracing more human-centric engagement technologies, responsibly harnessing customer data, utilizing content repurposing tools, investing in team upskilling, and embracing transformational opportunities, modern marketing teams can position themselves for success. The key lies in adapting to change while remaining true to customer-centric values, fostering collaboration, and prioritizing solutions that genuinely benefit the audience. With these practical tactics in hand, marketers can not only thrive but also lead the way in shaping the future of marketing.

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There’s a tendency — a passive acceptance that belongs somewhere along a continuum between faith and negligence — to assume that Google is merely a benign, disinterested gatekeeper of a vast repository of information. But nothing could be further from the truth. The reality is that the near-monopolistic control of information in our society resides with an explicitly progressive technology company. This week’s release of Google Gemini, a Large Language Model with a chat interface that is also capable of generating images, couldn’t make this more clear.

As you can probably gather by scrolling through the hilariously, appallingly, and ominously woke image examples I’ve provided, Google has coded Gemini’s AI in such a way that specific qualifications are added to any user prompt, so that the results conform to delicate modern sensibilities and the whims of modern DEI obsessions by ensuring that “diverse ethnicities and genders” are featured. [...] The images created are so preposterous, so comically insulting to the truth, that it’s tempting to assume we’re being trolled. But we’re not. And this is serious, because Google is clearly capable of completely shifting perceptions of history in the blink of an eye.

The text-generating aspect of Gemini is no less dangerous, and every bit as tainted with a paternalistic, shockingly heavy-handed encoded ultra-progressive bias. Questions conflicting with progressive assumptions either go unanswered, or users are simply fed straight up lies. It’s an attempt by a group of fringe upper-class wokes to control information and feed unwitting users only knowledge fit for the progressive vision of society. And it is strongly reminiscent of what Matthew Crawford once described as “a cadre of subtle dia­lecticians working at a meta-level on the formal conditions of thought, nudging the populace through a cognitive framing operation to be conducted beneath the threshold of explicit argument.” These subtle dia­lecticians make subtle changes to the information we see, but in aggregate they shape our entire world.

It would be unwise to assume that because the launch of Gemini has been widely derided as a massive and amusing faceplant that it will ultimately go down as a failed joke. Google is already retooling the image generator, and the “this response has been checked by a human” note that appears when you ask the chat interface a question suggests a process for tweaking “bad responses.”

Some people will no doubt dismiss concerns about Gemini by pointing out that there are other Large Language Models available. But this is ignorant. It cannot be emphasized enough how powerful and widely used Google is.

Google’s search market share is 91.47%. By comparison, Bing’s is 3.43%.1

The company handles a whopping 99,000 searches per second, totaling over 8.5 billion daily.

Google is by far the biggest mobile operating system in the world. As of May 2022, there were over three billion active monthly Android devices, with more than a billion new Android phones activated in the previous year alone.

Google’s search index includes about 400 billion webpages.

The point is that Google’s immense market leverage cannot be ignored. And as a conveniently available AI embedded within the same programs most Americans already use, its market penetration is instantly far deeper than any competitor’s. Furthermore, as National Review’s Jeffrey Blehar points out, Google is widely used in schools, often with licensing technology. It’s not difficult to envision Gemini, which is likely to become the most powerful epistemological technology ever created, turning into a pervasive “free” resource that students are regularly guided to once the use of AI becomes an officially approved “learning tool.” And it will be regarded as authoritative not only because of the influence Google wields, but also because of the convenience in receiving direct answers without the need for further research.

You don’t need me to tell you that none of this bodes well for the future. Make no mistake about it: Google intends this program to shape our understanding of the world. We’re talking about fundamental questions concerning who will determine which interpretation of reality will be programmed into generative technology, and who does the programming. And we’re beginning to realize how easily our sense of reality can become radically, hopelessly compromised by a relatively small handful of progressive ideologues.

1 YouTube, which Google owns, is the world’s second most popular search engine. As early as 2009, search volume on YouTube outstripped Yahoo!’s by 50% and Bing’s by 150%.