This week, Amazon, Adobe, Google, and Midjourney released new AI solutions that will impact marketing.

Amazon: The Road from AI Experimentation to Production
At the Generative AI and Data Day in London last week, Amazon Web Services (AWS) highlighted that the key to successful AI solutions is knowing the business outcome you're looking for. AWS' vice president of generative AI and AI/ML go-to-market, Rahul Pathak, explained that you should start with the customer's needs and work backwards. Still, the real success factor is figuring out what business value you're trying to drive.


Adobe Expands AI Capabilities with Firefly Video Model
Adobe has made a significant leap in generative AI with the launch of its Firefly Video Model, marking a significant expansion of its creative AI capabilities. Key features include:

1. Generative Extend: Available in Premiere Pro beta, allowing users to extend video clips seamlessly.

2. Text to Video & Image to Video: The Firefly web app now offers new capabilities for generating and manipulating video content.

3. Faster Image Generation: The Firefly Image 3 Model now generates images up to 4x faster.

4. Generative Workspace in Photoshop: Enables simultaneous ideation and concept iteration.

5. Improved Vector Model in Illustrator: Offers greater control over element density in patterns.

Adobe also unveiled new enterprise-focused features, including:

- Dubbing and Lip Sync: AI-powered translation of spoken dialogue with matching lip sync.

- Bulk Create: Streamlines large-scale image editing tasks.


Google Enhances Shopping Tab with AI and Personalisation
Google has rolled out a major upgrade to its Shopping tab, integrating AI-powered features to personalise and streamline the online shopping experience. The new shopping feed offers tailored product recommendations based on users’ activity, while enhanced visual search allows users to find products from images or screenshots. The Google demonstration shows AI offering advice before you buy a product. In the example, Google show AI recommending a winter jacket based on how low the temperature will drop in the buyer's geographical region and how much rain will fall!

And more stories...

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Top stories... TikTok Offers Marketers Flexible Control Over Ad Campaigns; Meta is expanding its AI tools for advertisers by introducing AI-edited video ads on Facebook and Instagram. OpenAI Introduces Canvas: Precision Editing for AI-Generated Text. A Harvard study reveals that large language models (LLMs), such as GPT, operate like crowdsourcing platforms, producing responses based on common word pairings rather than deep understanding. Adobe Unveils New Tools to Protect Creative Work from AI Misuse.

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In this special edition of the AI Marketing Newsletter, I want to take you into the near future, where marketing is aimed at people and their autonomous AI assistants.

In essence, an autonomous AI assistant moves from being a reactive tool to a proactive, self-sufficient entity that can make decisions, manage complex systems, and navigate the world on your behalf, with minimal intervention required.

Imagine this...

You need a new car. Instead of spending hours scrolling through reviews, websites, and specs, you simply ask your AI assistant to handle it. The assistant already knows your preferences, the car you drive now, the distances you travel, the family size, your budget, and your sustainability preferences. But here’s the next leap—the AI assistant doesn't just scour the internet for information; it communicates directly with other AIs.

In this fast-approaching future, companies’ marketing strategies will evolve to engage not only human consumers but also their AI counterparts. The AI will converse with brand AIs representing car manufacturers, dealerships, and finance companies. It will filter and negotiate, synthesising options that are highly tailored and relevant. The shortlist it returns is not just a set of advertisements or high-ranked suggestions but curated, strategic offerings.

AI assistants will become gatekeepers to the customer

They will pre-qualify offers, filter out the noise, and ensure relevance. So, in the future, marketing campaigns won’t just aim to win over people—they’ll need to convince their AI agents, too.

This will require a fundamental shift in how we structure offers, communicate value, and build relationships—not just with customers but with their AI intermediaries. Your marketing teams will need to learn how to create messaging, pricing strategies, and value propositions that resonate both with human emotions and with the algorithmic logic of AI.

It’s a future where marketing is more collaborative, where trust is earned not just from people but from their AI assistants. This is AI-to-AI marketing—the new technology wave is coming. And if you’re not thinking about it today, you certainly will be in the future.

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Performed, as ever, by NotebookLM

This week: Google AI Search Gets Ads, Pinterest GenAI Tools to Boost Ad Performance, Pika Labs Groundbreaking AI Video Effects +++

Search Marketing in the AI Era

Google has started integrating ads within its AI Overviews (currently only for U.S. users). This marks a significant shift in how Google will monetise search results. As more people use AI tools to conduct web searches, Google needed a way to stay relevant and keep making money from its core service.

The ads, clearly labelled as sponsored content, are designed to fit within AI-generated summaries.

What does this mean for marketing?

These latest updates signal the beginning of Google search marketing through the AI lens. With this in mind, brands will need to update their approach to search, and I recommend getting to grips with it quickly because it won't be like the old sponsored links, where ten or more could appear—there won't be room for that with AI snippets.

Staying with Google...

They're ramping up efforts in AI reasoning, with multiple teams working on models designed to solve complex, multi-step problems. According to Bloomberg, Google is utilising chain-of-thought prompting, a technique it pioneered, to develop AI capable of handling complex math and programming tasks.

What does this mean for marketing?

As AI models become more adept at chain-of-thought reasoning, marketers will have access to tools that can handle increasingly complex queries and tasks.

(Think: Find an audience segment that will benefit from product X, create a strategy, create personalised messaging, emails, social posts, and landing pages, run the campaign, and improve it in real time).

And Google aren’t alone when it comes to adding chain-of-thought reasoning to AI

Microsoft is introducing several new Copilot features, making its AI assistant even more useful across platforms. Microsoft is adding Think Deeper, which enables Copilot to tackle complex questions with detailed, step-by-step reasoning. Copilot Voice allows you to speak to Copilot via voice recognition, but for me, the standout is Copilot Vision, which can analyse text and images on websites in real time.

What does this mean for marketing?

Copilot Vision should help analyse content directly on websites (useful for learning about competitors), while Think Deeper provides a way to tackle complex data analysis tasks.

Pinterest Launches Generative AI Tools to Boost Ad Performance

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This week: AI's impact on marketing jobs assessed, $5M to fund AI-driven films, Meta goes all-in on AI with new products, and will Microsoft's 'Correction' tool end AI hallucinations?

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This week's AI Marketing News highlights several significant advancements in artificial intelligence technology. The article discusses how AI is transforming content creation, with tools like STORM generating comprehensive outlines for long-form articles, YouTube integrating AI video generators, and Runway partnering with Lionsgate to pioneer AI-driven film production. Additionally, the article explores the collaboration between Jony Ive and Sam Altman on AI-powered hardware, the rapid advancement of AI development according to NVIDIA's CEO, and the impressive capabilities of Google NotebookLM for turning text into podcasts. Finally, the article concludes with Sam Altman's vision for a future where AI teams can assist individuals in creating almost anything imaginable.

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This week: Copilot Wave 2: What does Microsoft Promise? Amazon Testing AI-Ads in Chatbots. New Survey Reveals Senior Marketers Lack Understand of AI Potential…. and more AI Marketing News.

This episode uses the Google NotebookLM text-to-audio feature.

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Listen to Made in AI, the first sitcom created and produced using AI.

This week: GenAI fails at summary test, Microsoft announces the next phase of Copilot, Salesforce opens the way for autonomous AI sales agents, Canva is looking to raise its price by 300%, and the US, EU, and UK sign the world’s first legally binding international AI treaty.

This episode uses the new Google NotebookLM feature.

Welcome to The AI Marketing Newsletter

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Listen to Made in AI, the first sitcom created and produced using AI.