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Welcome to The AI Report — the #1 AI newsletter for business leaders.
We believe you don’t need to be technical. Just informed.
Inside: real-world use cases and Partner Perspectives you won’t find anywhere else:
• 1. ✨ Skip the compliance chaos with Delve
• 2. 🌌 Samsung is adding Perplexity to Galaxy AI
• 3. 💼 Your Business Briefing
• 4. 💻 Get rid of your personal data from Google with Incogni
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin
Want to reach 400k+ AI-focused business leaders?
TOGETHER WITH DELVE
Migrate to Delve and get a $2,000 VISA card in your inbox
Delve is the AI-native compliance platform that actually does the work for you, auto-collecting evidence from AWS, GitHub, and your stack so you don’t have to chase screenshots or babysit integrations. Use AI security questionnaire tooling, AI copilot, and everywhere else to make compliance feel less dreadful. Welcome to the new age.
The proof is in the pudding:
Bland → Switched, got compliant, and unlocked $500k ARR in 7 days
11x → Streamlined audits and moved faster on enterprise deals
micro1 → Scaled compliance without adding headcount.
Bonus: Delve will handle your migration for free. Zero-touch. No disruption. No starting over. If you’re dreading opening your current SOC 2 tool, that’s your sign.
Book a demo here and trigger a migration - get $2000 sent straight to your inbox as soon as you’re onboarded.
Latest in AI
Samsung is adding Perplexity to Galaxy AI
🚨 Our Report
Samsung is integrating Perplexity into its Galaxy AI ecosystem, allowing Galaxy S26 users to summon the AI search engine by saying "hey, Plex." The move is part of Samsung's broader push toward a "multi-agent ecosystem" that lets users choose which AI assistants power their phone.
🔓 Key Points
This isn't just an app shortcut. Perplexity will have access to Samsung Notes, Clock, Gallery, Reminder, and Calendar, as well as select third-party apps, giving it deep system-level integration.
Samsung believes users develop strong attachments to specific AI tools, and different agents excel at different tasks. The multi-agent approach is designed to differentiate Samsung from Apple and Google, which rely on single AI assistants.
More details are expected at Samsung's Unpacked event on February 25th, where the company will likely expand on its vision for a multi-agent AI future and reveal additional integrations.
🔐 Relevance
Samsung is rewriting the rules for how smartphone makers approach AI. Rather than locking users into one assistant, the company is betting that choice and flexibility will drive loyalty. For enterprise users, this could open the door to more customized AI workflows on mobile devices. It also gives Perplexity a major distribution channel, putting it in direct competition with Gemini on Android hardware.
The AI Report Podcast
THE BUSINESS BRIEFING: SALES
TechVantage (mid-market B2B SaaS, 50 reps) was bleeding 2,000 hours per quarter chasing deals that were never going to close. Their rule-based lead scoring was 62% accurate, and reps spread effort evenly across pipeline instead of targeting high-probability prospects. They deployed AI predictive scoring that analyzed 50+ behavioral and intent signals, then automated follow-up playbooks triggered by deal stage.
Tool used: Optifai, AI-powered lead scoring and automated sales playbook execution.
Result: Win Rate doubled from 18% to 36%. Deal cycle dropped from 60 to 47 days. Demo-to-close conversion jumped 43%. Added $3.2M incremental ARR in 6 months without hiring additional reps.
The lesson: AI scoring exposed that 72% of their pipeline was unwinnable. The lift came from reallocating rep time to the 28% worth pursuing. They also spent 2 weeks cleaning CRM data before deployment. Skipping that step would have fed garbage into the model.
Steal this: Pull your last 50 closed-lost deals and tag them by loss reason. Calculate what percentage were "never going to close" (bad fit, no budget, just researching). That's your wasted effort baseline. If it's above 40%, prioritize lead scoring over pipeline volume.
TOGETHER WITH INCOGNI
Unknown number calling? It’s not random…
The BBC caught scam call center workers on hidden cameras as they laughed at the people they were tricking. One worker bragged about making $250k from victims.
The disturbing truth?
Scammers don’t pick phone numbers at random. They buy your data from brokers. Once your data is out there, it’s not just calls. It’s phishing, impersonation, and identity theft.
That’s why we recommend Incogni: They delete your info from the web, monitor and follow up automatically, and continue to erase data as new risks appear.
Try Incogni here and get 55% off your subscription with code AIREPORT
THE POLICY CORNER
The AI Basic Act went into force in January, making South Korea the first country to fully implement a nationwide AI framework law. Companies using AI for hiring, lending, healthcare, or education must self-assess whether systems qualify as high-risk and conduct annual impact assessments.
Deadline: In effect now. One-year grace period for compliance.
Your move: Even if you have no Korea operations, treat this as a preview of what's coming. The EU AI Act takes full effect in August 2026 with similar high-risk classifications. Use South Korea's framework as a checklist: identify any AI systems touching hiring, lending, healthcare, or education, and assign an internal owner now. Companies that build documentation and explainability practices today will have a head start when their own jurisdiction follows suit.
AI News
Sarvam launches Indus chat app in India: The startup's 105B-parameter model now powers a consumer chat app competing with ChatGPT's 100M+ weekly active Indian users. FULL STORY
Anthropic-backed PAC spends $450K to counter rival AI super PAC: Public First Action is supporting NY Assembly member Alex Bores after Leading the Future dropped $1.1M attacking his AI transparency bill. FULL STORY
Google partners with Sea to build AI tools for e-commerce and gaming: The Shopee owner will co-develop AI capabilities across its Southeast Asian platforms. FULL STORY
Consultancies poised for fastest growth in years on AI demand: Firms are ramping up AI advisory and implementation services as enterprise adoption accelerates. FULL STORY
Trending AI Tools (sponsored by our tools database)
A curated look at the AI tools quietly transforming how teams work.
The Money: AI moves from models to silicon and factories
The Money: AI moves from models to silicon and factories
Capital is flowing into AI-specific hardware and AI-native production systems. Two rounds totaling $236M this week target custom chips and “Physical AI” manufacturing, signaling that investors see the next bottleneck in compute efficiency and real-world throughput, not model releases.
Deals to know:
Taalas (Series, $169M) -- AI chip startup unveiled HC1, a processor optimized for Llama 3.1 8B, claiming higher token throughput than Nvidia’s H200 and B200 at one tenth of the power. Investors: undisclosed in article; total raised ~$219M to date.
Freeform (Series B, $67M) -- AI-native metal additive manufacturing platform scaling “Physical AI” factories; Skyfall platform aims to increase throughput 25x with GPU-based real-time control. Investors: Apandion, AE Ventures, Founders Fund, Linse Capital, NVentures, Threshold Ventures, Two Sigma Ventures
Signal: Serious money is betting that AI’s next edge comes from vertically integrated silicon and software-defined factories, where efficiency gains compound across both compute and physical production.
Refer a Friend
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Until next time, Martin, Arturo, and Liam.
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