Adobe vs Figma

Google AI Overviews for Brands Include Third-Party Sources

Google's AI Overviews increasingly appear for brand-related search queries, providing visibility but also risks. A recent Ahrefs analysis shows that in September, 73.3% of branded searches in the US triggered AI Overviews on desktop, up from 61.3% in July. These overviews often cite third-party sources like Wikipedia, YouTube, and LinkedIn, not just the brand's own content. This can lead to misinformation or negative portrayals, and Google may be liable for false statements, as a German court ruling indicated. Brands and SEOs must manage their reputation across third-party sources, as clicks from AI Overviews can benefit not only the brand but also publishers and creators.

• Google's AI Overviews appear for 73.3% of branded searches on US desktop in September, up from 61.3% in July.
• AI Overviews for brands often cite third-party sources like Wikipedia, YouTube, and LinkedIn.
• Google introduced a brand filter in Search Console to help SEOs analyze brand-related queries.

AI Traffic Doubles, Boosting Holiday Retail Engagement

Adobe's annual holiday shopping forecast predicts AI-driven traffic to US retail sites will more than double (up 130% YoY) this holiday season. A complementary survey of 5,000 US consumers found that AI-referred shoppers add items to carts at a 32% higher rate, and 43% generate more revenue per visit than non-AI traffic, reversing a previous trend. Over 75% of AI-assistant users feel more confident in purchases, and over two-thirds are less likely to return items. Experts advise brands to design for both human and AI-agent customers, as AI tools increasingly serve as discovery and referral channels.

• Adobe predicts AI traffic to US retail sites will increase 130% year-over-year during the holiday season.
• AI-referred consumers add items to carts at a 32% higher rate than non-AI traffic.
• 43% of AI-referred visits generate more revenue per visit compared to non-AI traffic.

Introducing interactive editing controls for the Adobe plugin in ChatGPT

Adobe announces new interactive editing controls for its plugin in ChatGPT, following its expansion to Gemini and Claude.

Figma invests in the UK with expanded London office

With our new London office, we’re getting closer to our customers and community.

Groq Founder: Poor Leadership Cost Company Years

Jonathan Ross, founder of AI chip maker Groq, admitted in a podcast that his management failures initially cost the company three to four years. A former Google engineer, Ross founded Groq in 2016 to develop Language Processing Units (LPUs) as alternatives to Nvidia GPUs. He acknowledged being 'a terrible leader' at the start, citing mistakes in hiring employees who were not self-sufficient and giving them too much responsibility, leading to stagnation. He learned to focus on people management and became more selective in hiring. In December 2025, Nvidia signed a $20 billion licensing and talent deal with Groq, after which Ross and other key engineers moved to Nvidia, where Ross now serves as chief architect for software. Groq continues as an independent company led by Adam Winter. Similar leadership challenges were shared by Figma CEO Dylan Field and Duolingo CEO Luis von Ahn.

• Jonathan Ross founded Groq in 2016 to develop AI inference chips (LPUs) as alternatives to Nvidia GPUs.
• Ross admitted that his poor leadership set back Groq by three to four years.
• In December 2025, Nvidia signed a $20 billion license and talent deal with Groq.

Pragmatic Engineer Podcast: Design Engineering with Maggie Appleton

In this episode of the Pragmatic Engineer Podcast, host Gergely Orosz interviews Maggie Appleton, a staff research engineer at GitHub Next. Appleton discusses her unique career path from cultural anthropology to design engineering, her work illustrating React tutorials for Egghead, and her insights on how AI is transforming design processes. She shares practical advice on using notebooks and jigs for prototyping, the importance of understanding engineering constraints, and introduces the concept of 'capability gaslighting' where AI models overpromise and underdeliver. The conversation explores new artifacts for human-AI collaboration and encourages engineers to use AI agents as patient tutors for learning design principles.

• Maggie Appleton is a staff research engineer at GitHub Next.
• She was the first designer hired by AI startup Elicit.
• She spent four years as an illustrator and art director at developer education company Egghead.