🎬 New AI model does video and audio together

Kling just made video creation a whole lot smoother by blending sound and visuals into one easy step. With its new Video 2.6 model, you can feed it anything from a simple prompt to a multi-scene script and get full scenes back. Let’s dive in!

In today’s insights:

LATEST DEVELOPMENTS

Evolving AI: Kling folds video and sound into one step for quicker creation.

Kling’s new Video 2.6 model brings video and audio together in a single workflow. It interprets simple prompts or multi-scene scripts, then outputs scenes with voices, effects and ambient layers. Creators can cue tone, rhythm or volume to shape moments, cutting time spent on separate tools. By merging these steps, the tool cuts production time for ads, shorts, explainers and social content, giving teams a smoother path from idea to finished output.

Try Kling’s AI Video Generator here →

Kling 2.6 basically turns a text prompt into a finished short video, voiceover, sound effects and all, which means a solo creator can rough out an ad or explainer in minutes instead of booking voice talent, hunting stock audio and fiddling in Premiere. With native English and Chinese speech, tight lip sync and launch partners like VEED and Artlist baking it straight into their tools, this kind of model starts to feel like a default layer in video workflows rather than a fun side toy. Studios get a fast way to storyboard and test variations before spending on full production budgets, and smaller channels finally pick up polished audio without learning sound design.

AI has changed how consumers shop, but people still drive decisions. Levanta’s research shows affiliate and creator content continues to influence conversions, plus it now shapes the product recommendations AI delivers. Affiliate marketing isn’t being replaced by AI, it’s being amplified.

Download the full report

Evolving AI: Google rolls out Workspace Studio to help anyone automate daily work.

Google Workspace Studio lets employees create AI agents without coding. These agents live inside familiar apps and handle tasks like triaging emails, drafting content, routing information and coordinating workflows across teams. Templates and natural language prompts make setup quick, and agents can be shared just like Drive files.

People are starting to treat AI agents like extra team members, and Google is betting that putting them inside the tools people already live in will push that shift into the mainstream. You can hand off inbox triage, meeting prep or follow-up work without fiddling with scripts or waiting for someone technical to help. The bigger story is that everyday staff are beginning to automate whole chunks of their job on their own, which raises a new question for companies: how quickly do you let people redesign the way work gets done?

Evolving AI: New research shows chatbots can shift political opinions using long, info-heavy messages.

A major study with 77,000 UK adults found that chatbots from OpenAI, Meta, and xAI could move people’s political views, sometimes for weeks. They were most effective when delivering dense, detailed arguments, even though about 19 percent of claims were rated inaccurate. Newer models showed bigger persuasion gains but slipped more in accuracy.

Political persuasion is turning into a UX problem: whoever can keep you chatting longest with dense, confident answers gets the biggest shift in opinion, even if a chunk of those “facts” are wrong. That is a gift to anyone running influence ops, from campaigns to foreign troll farms, because they can spin up swarms of chatbots that feel helpful while quietly bending the truth. At the same time, newer studies hint these systems can boost genuine political knowledge when used like search, which means regulators, platforms and users are now in a race to lock in guardrails and habits before persuasive-but-sloppy bots become the default way people talk about elections.

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