"AI-first" corporate strategy: different views

Meta is teaming up with Arm to supercharge its AI capabilities, signaling a new era of innovation in social media tech. What could this mean for the future of AI-driven experiences? Source: TechCrunch

AI Browsers Going Mainstream Insight: The expansion of AI in browsers via Gemini and similar integrations shows the trend of agents being directly in your environment, not just in tools you open. Signals that users will expect agents to operate with minimal friction. ImpactiFlow needs seamless integrations, context awareness, and natural goal descriptions.

Google's new Veo 3.1 AI model can generate full 1080p, multi-shot, convincing sound effects, tighter lip-sync, and richer soundscapes tied to videos that look alarmingly real. It’s not just impressive, it’s terrifyingly convincing. The fake is becoming flawless. That's why we're proud that Resemble AI's Deepfake Detection AI model already covers Veo 3.1, both across audio and video streams.

I speak with Affirm CEO Max Levchin on the company's partnership with Ace Hardware Corporation, the state of consumer credit, and use of AI within Affirm.

Our CEO Max Levchin joined Jon Fortt to discuss our new in-store partnership with Ace Hardware Corporation, Affirm's approach to extending responsible credit, and his views on AI. 🔨On Ace: “It’s about $9,000 per year for an average American homeowner... so being able to apply Affirm financing tools to those kinds of expenses is just a really powerful use case for what we offer. And of course, as always [it] is without late fees, without compounding interest, without the gimmicks.” 💳On responsibly extending credit: “One of the advantages of our model is we underwrite every transaction, and because we make no money on late fees or compounding interest or those usual crutches the industry uses… we are in total alignment with our borrower.” 🤖On AI: “Agentic shopping is coming” — “we expect to be there as it happens.” Watch the full interview below!

💳 BNPL vs. PLCC: Competing or Complementary? Affirm recently shared bold messages about the future of shopping: agentic AI-driven experiences, no late fees, no compounding interest, and transaction-level underwriting. It’s compelling — and BNPL has carved out real trust with customers, especially younger generations. But here’s the question for retailers: where does that leave Private Label Credit Cards (PLCCs)? 🔑 PLCC still has powerful advantages if retailers lean into them: • Loyalty & Ecosystem → Rewards, discounts, free shipping, members-only perks. BNPL is transactional, PLCC is relational. • High-Ticket Financing → BNPL is great for <$2K purchases. PLCC can cover $5K, $10K+ projects where customers need more. • Personalization → Retailers + issuers already have years of customer data to create predictive offers that BNPL can’t match. • AI Integration → As “agentic shopping” arrives, PLCCs tied to retailer ecosystems can become the default credit rail inside those journeys. ⚡️ My view: BNPL wins the transaction. PLCC wins the relationship. The smartest retailers won’t see them as competitors — but as complementary tools to drive both conversion and lifetime value. What do you think — will PLCC evolve to meet this new landscape, or will BNPL pull ahead as AI-driven shopping becomes mainstream? #Retail #Fintech #BNPL #Loyalty #CustomerExperience #Credit

Seeing AI at every booth at the Global Fintech Fest got us thinking: Are businesses focusing too much on just using AI, or are they really solving customer needs? Rakesh Ningthoujam and Shreya Mago from GeekyAnts share their firsthand insights and reality checks from #GFF2025. Watch the full video and share your thoughts! #GeekyAnts #AIinFinance

At Volaris Games, we believe trust is the foundation of the AI economy. Through LinkolnOS, our open-source AI knowledge framework, we’re giving developers and communities full visibility into how their AI agents think, learn, and remember. In an age where “black-box AI” raises concerns over bias and data privacy, transparency isn’t optional—it’s the new standard. LinkolnOS enables organizations to self-host, audit, and customize their agents’ logic and memory, ensuring ethical, accountable, and user-controlled AI interactions. As the conversation around responsible AI and Web3 decentralization accelerates, open frameworks like LinkolnOS lead the shift toward trust-based intelligence systems that empower communities, not corporations. Explore how transparency is reshaping the future of AI. 🎱 https://lnkd.in/giZbdphC

For what it's worth, the AI bubble popping would create clarity: - Higher signal to noise ratio on real problems to solve - Better customers that actually need you rather than buying hype Just keep building and delighting users.

Sick of your own talking points? Perfect. I was at a conference last week. My client was on stage, saying the same thing over and over: “We’re the best at X. We’re the second-largest provider of X technology after [Fortune 500 company.]” Their competitor? All over the map, talking about something their company doesn’t even do! Big mistake. You often have to say something 1,000 times before your customer really hears it. And in the age of AI, repetition matters even more — it’s now how both humans and AI’s internet-scraping bots detect message coherence in a noisy information landscape. Beat the same drum. Again and again. Repetition builds reputation. In a noisy world, consistency is clarity. You need less talking points, not more.