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Welcome to The AI Report — the #1 AI newsletter for business leaders.

You don’t need to be technical. Just informed.

• 1. ✉️ Assemble the perfect outreach plan with Lightfield
• 2. ⚡️ Anthropic ships Opus 4.8
• 3. 💼 Your Business Briefing
• 4. 🔎 Access the most powerful web search with Brave
• 5. ✍️ Today’s Policy Corner
• 6. 🗞️ The News Bulletin

Are you ready to launch AI transformation for your company?

TOGETHER WITH LIGHTFIELD

You know who you want to reach. You've known for months.

You have the ICP in your head. You have opinions about messaging. You've probably drafted a few cold emails in your notes app and never sent them.

The motion isn't the problem. It's everything that comes after: building the list, finding the right contacts, verifying emails, writing sequences, personalizing openers, warming domains, managing replies, updating the CRM. Every week. From scratch.

Lightfield's outbound agents run on your CRM. They score accounts against your real won deals.

• Draft sequences from the language your customers actually use in conversation.

• Surface warm intro paths from your team's network.

• Escalate the replies that need your attention.

You set the strategy. The agents build the list, run the sequences, and keep the motion going.

Latest in AI

Claude flags code flaws 4x better

🚨 Our Report

Anthropic has released Claude Opus 4.8, an upgrade to its flagship AI model that the company says is a "more effective collaborator" with notable improvements in reliability, judgment, and honesty. The model is available at the same price as its predecessor: $5 per million input tokens and $25 per million output tokens.

🔓 Key Points

• Opus 4.8 is four times less likely than Opus 4.7 to let flaws in code pass unremarked, according to Anthropic's evaluations, and early testers report the model flags uncertainties more consistently.

• Anthropic also launched "dynamic workflows" in Claude Code, allowing the model to run hundreds of parallel subagents in a single session and handle codebase-scale migrations across hundreds of thousands of lines of code.

• The company confirmed it plans to release "Mythos-class" models with higher intelligence than Opus, but these require stronger cyber safeguards before general availability, expected in the coming weeks.

🔐 Relevance

For enterprise teams already using Claude, this update offers better code review reliability and expanded automation potential through dynamic workflows. The honesty improvements address a common complaint with AI tools: overconfidence. Business leaders evaluating AI vendors should note that the Mythos preview, currently limited to cybersecurity use cases, shows where Anthropic's roadmap is heading.

The AI Report Podcast

What a Trillion Data Points Tell Us About AI and Consumer Behaviour | Vivek Pandya, Adobe

The AI Executive's Pass is live

Most business leaders are already paying for 4–6 AI tools they found separately, at full price, with no coordination between them. The AI Executive's Pass is the fix.

$11,000+ in tools and resources built for executives actually implementing AI — not just reading about it.

Inside: Notion, beehiiv, ListKit, Make.com, Paperform, Intercom, a private GPT training session, and a LinkedIn growth consult.

Are you ready to launch AI transformation for your company?

THE BUSINESS BRIEFING: HR & TALENT (powered by Upscaile)

ISS North America (global facility services, 500K employees) was hemorrhaging candidates during a 65-day time-to-hire process. Manual scheduling, desktop-only applications, and English-only interfaces excluded 80% of their hourly workforce before they ever reached a recruiter. They deployed Paradox's conversational AI ("Iris") to handle screening, scheduling, and onboarding via text in multiple languages, accessible 24/7 from any mobile device.

Tool used: Paradox — conversational AI that automates candidate screening, interview scheduling, and onboarding through text-based chat.

Result: 85% reduction in time-to-hire (65 days → 10 days). 97% application completion rate. 10,000+ recruiter hours returned to high-value work annually.

The lesson: Speed without accessibility is worthless. ISS's technology transformation succeeded because HR and IT partnered from day one, anchoring every feature to candidate experience rather than internal convenience.

Steal this: Audit your application process on mobile this week. If candidates need desktop access, multiple logins, or English-only instructions, you're losing 80% of your hourly workforce before they apply. Fix mobile-first, then automate.

TOGETHER WITH BRAVE

🔌 The most powerful Web search for AI

Stop hallucinations. Power your chatbots and agents with real-time data from the Brave Search API:

1. Visit the Brave Search API product page.

2. Select a plan.

3. Make your first call.

• Specialized endpoints: Web search, LLM Context, and more

• Independent: 40-billion page index, no Google scraping

• Affordable: $5 per 1,000 calls, $5 in free monthly credits

• Any project: RAG pipelines, Claude MCP, OpenClaw and more

THE POLICY CORNER

New Jersey unveils first state-level AI data center regulation — infrastructure costs shift to operators

Gov. Mikie Sherrill announced a four-part framework requiring AI data centers to cover grid upgrades, publicly report energy and water usage every six months, and fund infrastructure improvements without passing costs to ratepayers. The plan applies to large-scale AI facilities statewide and includes mandatory noise, light, and pollution mitigation. New Jersey has roughly 80 data centers, with newer AI-focused facilities consuming power equivalent to small towns.

Deadline: Legislative approval pending. State officials expect implementation by early 2027.

Risk: Federal data shows New Jersey households saw utility bills rise $260 last year. Facilities that fail to comply with reporting or infrastructure cost-sharing requirements face operational delays and heightened local opposition.

Your move: If you operate or plan to build AI data centers, contact state regulators to clarify how infrastructure cost allocation will be calculated and what reporting systems will be required.

AI News

• 🛡️ Google launches AI Threat Defense: Autonomous platform merges Wiz, Mandiant, CodeMender, and Gemini to span vulnerability discovery through autonomous remediation; launch partners include Accenture, Deloitte, PwC. FULL STORY

• 🔓 IBM and Red Hat commit $5B to secure open source: Project Lightwell deploys 20,000+ engineers with AI capabilities to identify and fix vulnerabilities; early adopters include Bank of America, JPMorgan, Goldman Sachs, and Visa. FULL STORY

• 🧠 DeepMind CEO predicts AGI by 2029-2030: Demis Hassabis warns society has only 2-3 years to prepare; says today's AI agents should be viewed as "practice run" for significantly more powerful systems ahead. FULL STORY

• 📸 Apple preps AI Camera and Photos for iOS 27: Dedicated Siri camera mode, prompt-based editing, "Reframe" and "Extend" tools for image manipulation; WWDC announcement set for June 8. FULL STORY

Trending AI Tools (Sponsored by the AI Executive’s Pass)

A curated look at the AI tools quietly transforming how teams work.

1. Incogni*: Data brokers feed AI your info. Incogni removes you from 200+ of them — automatically

2. Snowball is an AI-driven growth and monetization tool for X (Twitter) creators and brands

3. Plandek is an analytics platform delivering actionable insights for software engineering teams

^{*indicates a sponsored tool, if any}

⚡️ Why pay for 4–6 separate AI tools at full price when the AI Executive’s Pass fixes that?

The Money: Enterprise AI bets shift from models to control layer

As enterprises face sprawling AI tool portfolios and mounting compliance risk, investors are backing platforms that route, govern, and optimize—not just generate. The message is clear: execution infrastructure will command more capital than raw intelligence.

Deals to know:

• OpenRouter (Series B, $113M) — Model exchange platform routing workloads across 100+ providers via single API. Weekly volume hit 25T tokens. Investors: CapitalG, NVentures, ServiceNow Ventures, MongoDB Ventures, Snowflake Ventures, Databricks Ventures, a16z, Menlo Ventures

• Orbital Industries (Series B, $50M) — AI-driven materials science startup using proprietary Orb model to design data center cooling fluids and modular infrastructure at 10x speed of traditional R&D. First AI-designed molecule ships 2027. Investors: Plural, Nventures, Radical Ventures, Compound, Fly Ventures

Signal: Capital is following infrastructure constraint solvers as AI shifts from a science project to a production system. Companies solving bottlenecks, not breakthrough models, will capture enterprise budgets through 2028.

Refer a Friend

Latest episode: What a Trillion Data Points Tell Us → Listen here
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Until next time, Arturo and Liam.

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