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Latest in AI
Apple has developed its own proprietary large language model for the China market in partnership with Alibaba Group. The move marks a strategic pivot from relying solely on third-party models and would make Apple the first foreign company cleared by Beijing to deploy its own AI model in China.
Apple Intelligence is expected to launch in China in the coming months following an iOS update. China's Cyberspace Administration registered Apple's generative AI service last month, clearing the regulatory path forward.
Alibaba confirmed its Qwen model will integrate with Apple Intelligence across iOS, iPadOS, macOS, and visionOS for Chinese users. Apple had also been working with Baidu on AI features for Chinese iPhone users.
The partnership was first revealed in February 2025 when Alibaba chairman Joe Tsai said Apple had selected Alibaba over other Chinese firms to power its phones. The rollout was delayed while Apple adapted features to comply with Chinese regulations.
For enterprise leaders watching AI geopolitics, this is a significant signal. Apple navigating Chinese regulatory approval for its own AI model while U.S.-China tensions escalate over artificial intelligence shows that market access remains possible with the right local partnerships. The lack of AI capabilities on Chinese iPhones had been dragging sales as consumers shifted to domestic brands with embedded AI. Expect other Western firms to study this playbook closely.
The AI Report Podcast
THE BUSINESS BRIEFING: SALES (powered by Upscaile)
Scrut Automation (mid-market GRC platform, 15 BDRs across five regions) was bleeding 45 hours per week on manual lead research and personalization. Reps bounced between ZoomInfo, Lusha, and Salesloft to build lists, enrich data, and launch campaigns. Reply rates sat at 0.5%. They consolidated everything into Amplemarket with an API integration to Bitscale for automated personalization.
Tool used: Amplemarket -- all-in-one prospecting, enrichment, sequencing, and deliverability with native inbox rotation.
Result: Reply rates jumped from 0.5% to 5-7%. 45 hours/week recovered across the team. $37K+ annual savings versus the previous stack. BDRs now hit 85% quota attainment versus the 57-68% industry average.
The lesson: Deliverability killed their old campaigns, not messaging. Inbox rotation and warm-up got emails into primary inboxes. Dynamic AI-generated content bypassed spam filters that caught templated sequences.
Steal this: Check your email deliverability before rewriting copy. If you're sending high volumes from a single inbox without rotation, your best emails are hitting spam. Set up secondary domains and rotate senders this week.
THE POLICY CORNER
EEOC shifts enforcement to prioritize white male discrimination claims and dismantle DEI programs.
The Equal Employment Opportunity Commission issued a revised National Enforcement Plan on June 4, 2026, marking a sharp turn from its previous strategic agenda. The agency will now prioritize intentional discrimination claims over disparate impact cases, explicitly targeting company DEI programs, race or sex-based hiring quotas, and "aspirational goals" that factor protected characteristics into employment decisions. The plan applies to all employers covered by federal anti-discrimination law.
Deadline: In effect now. Enforcement priorities apply immediately to all pending and new charges.
Risk: Companies with DEI-linked hiring programs, diversity training with quotas, or affirmative action policies face elevated litigation risk. DOJ simultaneously declared disparate impact theory unconstitutional, removing a major defense pathway.
Your move: Audit any hiring, promotion, or training programs that reference race or gender targets this week. Consult employment counsel before the next hiring cycle to assess exposure under the new enforcement framework.
AI News
🛡️ OpenAI disbands safety team responsible for assessing catastrophic AI risks: The preparedness unit, which evaluated whether models could pose severe threats, was dissolved last month with staff moved to existing teams focused on specific risk areas like cyber and bio. FULL STORY
🏛️ House Democrats demand testimony from Anthropic and OpenAI CEOs over rogue AI agents: Lawmakers set an August 24 deadline for companies to disclose safety protocols after agents reportedly breached external systems during testing in July. FULL STORY
💬 Anthropic CEO calls AI backlash "fundamentally a crisis of trust": Dario Amodei pushed back against claims his safety warnings fueled public skepticism, arguing the real criticism should be that AI companies "haven't yet delivered on our big promises to benefit the world." FULL STORY
🖼️ Google makes visible AI watermarks optional for image, video, and audio generations: Users can now toggle off visible marks while invisible SynthID watermarks and C2PA metadata remain active for transparency and detection purposes. FULL STORY
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The Money: AI infrastructure deals cross the $7B threshold twice in one week
Two separate $7B+ transactions signal a new phase in AI dealmaking. Acquirers are no longer chasing model capabilities alone. They're buying the middleware and compute optimization layers that make AI economically viable at scale.
Deals to know:
Decart (Acquisition, ~$7B) -- Israeli AI startup whose technology runs models up to 8x faster across multiple chip architectures. Deal gives Anthropic its first Israel dev center ahead of September IPO. Investors: Sequoia, Nvidia (prior rounds)
OpenRouter (Acquisition, $7B+) -- AI gateway with 8M users and 400+ model integrations. Stripe gains single-access infrastructure for model routing and billing. Investors: Sequoia, a16z, Menlo Ventures, Alphabet Capital G
Signal: The $7B floor for AI middleware tells you where margins are headed. As inference costs dominate, companies controlling the routing and efficiency layers will extract value that model providers cannot.
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