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Welcome executives and professionals. Token costs are attracting CEO and board-level attention. CFOs, CIOs, and CTOs need to be ready with answers when those leaders start asking questions.

Since the previous edition, we have reviewed hundreds of the latest insights in agentic and generative AI, spanning best practices, case studies, market dynamics, and innovations.

This briefing outlines what is driving material value — and why it’s important.

In today’s briefing:

• How to manage AI token costs.

• US and China splitting the AI world.

• Why OpenAI and Anthropic's IPOs matter.

• Palantir’s AI sovereignty manifesto.

• Transformation and technology in the news.

• Insights for Executive+ members.

• Career opportunities & events.

Read time: 4 minutes.

BEST PRACTICE INSIGHT

How to manage AI token costs

Brief: BCG published the second in a series of insights on the cost of AI tokens and how companies can manage them. The first article examined the true costs of AI; this one details the challenges of measuring them in practice.

Breakdown:

• AI works differently than traditional software as a service, changing the unit of management. Traditional FinOps isn't built for it.

• Instead, a ratio BCG calls return on AI (RoAI) captures the full cost of the AI being applied across the business and its outcomes.

• To account for costs and assess RoAI, companies need a workflow-level operating model that enables management to do three things well.

• See what's happening, shape the cost, and either prove the value or stop (or minimize) the activity, as detailed in the image above.

Why it’s important: As AI moves into production, CFOs, CIOs, and CTOs inherit a substantial new cost: tokens consumed to produce outcomes. Rising agent use pushes the meter into overdrive. FinOps cannot keep pace, and CEOs will expect the C-suite to rise to the challenge.

IN PARTNERSHIP WITH ASAPP

Human-in-the-loop shouldn't be an afterthought

Brief: Most AI platforms treat human involvement as a fallback, not a design choice. At enterprise scale this breaks down: accountability and context get lost when they matter most. A different model embeds humans by design, maintaining continuity.

In this webinar, ASAPP explores what this means for customer-facing AI:

• Why human-in-the-loop fails at enterprise scale

• What determines when AI should involve a human

• How to preserve accountability in AI systems

Watch on demand. No registration required.

MARKET & BEST PRACTICE INSIGHT

US and China splitting the AI world

Brief: BCG explored how diverging strategies between the AI superpowers, the US and China, are creating two increasingly incompatible tech stacks. For companies, the window for mixing the two may end sooner than most expect.

Breakdown:

• The US maintains its lead on frontier AI models, talent, and capital, while China pushes ahead on cost-optimized models and adoption.

• Middle powers navigate the divide differently: the EU pursues sovereign compute, Japan aligns with the US, India engages multiple ecosystems.

• Leaders need to understand how they engage with US, Chinese, and other stacks, weigh options, and act before the flexibility window closes.

• The choice of AI stack will increasingly determine where an organization can operate and its exposure to geopolitical volatility.

Why it’s important: AI and the technologies powering it are now irreversibly intertwined with geopolitics. What separates resilient companies from more exposed ones is whether they can translate awareness into geopolitical muscle as superpower bifurcation deepens.

MARKET INSIGHT

Why OpenAI and Anthropic’s IPOs matter

Brief: Deutsche Bank Research Institute examined how the coming wave of IPOs from the world's leading AI labs will reshape the AI boom, forcing new transparency and accountability onto the industry.

Breakdown:

• OpenAI, which sparked the AI frenzy, and Anthropic, maker of Claude and now its larger rival by valuation, both filed for IPOs in June.

• These IPOs promise transparency, funding, and accountability, plus a pure-play benchmark to value AI's winners and losers.

• Each share sale is reportedly aiming to raise about $60bn and value its company at more than $1 trillion.

• Both firms are moving to strike while the iron is hot, securing compute, distribution, and capital, though investor appetite isn’t guaranteed.

Why it’s important: The AI boom is nearing a moment of truth, as breakneck growth and soaring valuations collide with mounting capex, public backlash, and cheaper Chinese open-source competition. Whichever company wins this race could come to define the era.

AI-NATIVE PROFESSIONAL

How to pull metrics from dashboards with Claude

Brief: In this guide, you'll learn how to use Claude in Chrome to navigate your analytics dashboards, extract the numbers you need, and compile them into a clear, shareable summary. No exports, no tab-switching, no manual copy.

Step-by-step:

1. Specify which metrics matter and which tools to pull them from. Claude handles the navigation and extraction for you automatically.

2. Claude uses browser use to navigate your analytics tools directly through your existing, authenticated browser sessions.

3. It reads the same reports you would, pulls the relevant numbers, and compiles them into a clean, well-organized summary for you.

4. Once your summary is ready, have Claude format it into bullets, highlighting anything significant, and post it to your team channel.

Best practice: Click the clock icon in the extension panel to schedule this workflow ahead of your weekly product sync automatically.

For the full guide, including prompts, upgrade to Executive+ or The Boardroom.

BEST PRACTICE INSIGHT

Palantir’s AI sovereignty manifesto

Brief: Palantir shared a nine-point manifesto urging enterprises to retain data, weight, and infrastructure control, as CEO Alex Karp criticized frontier AI labs of "stealing weights and alpha."

Breakdown:

• Sovereignty shapes an institution's future: ceding it transfers future choices to others who may exploit them for their gain.

• Data retention is an enterprise's treasure; giving it up hands over the winning plays and insights built from that data.

• The pursuit of high token usage incentivizes disposable scripts over robust software, with the addictive feeling of false progress.

• If you let others control your weights, you are allowing them to migrate the accumulated knowledge, the alpha, of your business to theirs.

Why it’s important: For enterprise AI leaders, this frames vendor choice as a sovereignty decision: scrutinize how data, weights, and infrastructure are governed, since outside dependency can erode competitive edge, institutional autonomy, and long-term ownership of alpha.

Microsoft published a 14-slide methodology deck showing Copilot saves 2 to 96 minutes per task, depending on category and study.

Lovable detailed how $85K in tokens impacted its coding process, with agent swarms now merging 150+ PRs a week versus 20-30 before.

Futurum Group published a 10-page report on how Anthropic and OpenAI embed into enterprises via compute, capital, and marketplaces.

Forrester argued AI may just be the latest tech hype cycle like RPA, encouraging leaders to demand proof before funding it any further.

KPMG argued CHROs, not CIOs, have the strongest claim to lead as Chief AI Officer, as agents become a new worker type on org charts.

McKinsey outlined five shifts from Cannes Lions 2026, noting only 10% of marketers redesigned workflows despite 60% using AI weekly.

Microsoft launched Frontier Company, investing $2.5B to embed 6,000 engineers and specialists at client sites to build AI systems.

Gartner released a report finding $234B in enterprise software spend is at risk from agentic AI arbitrage by 2030, or 20% of SaaS.

AWS announced general availability of WorkSpaces for AI agents, letting agents securely operate desktop apps (ERPs, CRMs etc.).

Sam Altman published an FT op-ed urging a US-led forum to set safety standards and decide who can use the most advanced AI models.

Meta is reportedly building a cloud service to rent out its data centers' spare capacity, sending its stock up 9.3% on the news.

Anthropic reportedly approached Samsung to manufacture its first custom AI chip, after hiring an engineer off OpenAI's chip team.

CAREER OPPORTUNITIES

BCG - AI Strategy Director

Google Cloud - Generative AI Practice Director

Cantor Fitzgerald - Head of AI

EVENTS

Gartner Agentic AI Readiness - August 05, 2026

Government & AI Summit - September 15, 2026

Chief AI Officer Summit - October 29, 2026

Reach enterprise AI decision-makers:

• 66% of readers are C-level executives or VP and Director-level leaders.

• 63.2% of the audience is based in the U.S., EU, UK, ANZ, and Singapore.

• Read by leaders at Microsoft, Deloitte, the Fortune 500, and more.

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Conceived as a practical communication for executives Lewis Walker has worked with, this briefing has become a trusted resource for thousands of senior decision-makers shaping the future of enterprise AI.

We welcome your feedback.