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Welcome executives and professionals. Emerging leaders aren’t simply moving faster on the same path; they’re operating on a different logic, rooted in structural divergence.

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:

• Winning with proprietary intelligence.

• Data readiness for scaling AI impact.

• OpenAI previews GPT-5.6 series.

• Anthropic Economic Index: Cadences.

• Transformation and technology in the news.

• Insights for Executive+ members.

• Career opportunities & events.

Read time: 4 minutes.

Last call: Join The Boardroom before 8pm ET (US Eastern) today (28th June) to receive this quarter's blueprint on selling large-scale AI programs.

MARKET & BEST PRACTICE INSIGHT

Winning with proprietary intelligence

Brief: Bain & Company, drawing on its recent survey of 100 CEOs, explored how to win with AI, including the seven CEO decisions that differentiate companies building proprietary intelligence.

Breakdown:

• Most CEOs think they're leading an AI transformation, but they're managing a portfolio of pilots, and the two are not the same thing.

• The companies pulling ahead are building proprietary intelligence through unique data, encoded workflows, and learning architectures.

• Seven CEO decisions differentiate leaders: posture, domain focus, data, tech architecture, operating model, learning, governance.

• Three leadership traits binding the seven choices together: personal commitment, ruthless conviction, and investing for learning.

Why it’s important: It is easy to say "yes" to the decisions that create proprietary intelligence. Whether you have made them shows up elsewhere: in calendars, budgets, who sits on which committee, and what reaches the board. None can be delegated; all sit with the CEO.

IN PARTNERSHIP WITH THE BOARDROOM

AI blueprints you won’t find anywhere else

Brief: Dozens of CXOs, VPs, and directors are leveraging proven, step-by-step AI transformation blueprints not available elsewhere. A recent blueprint helped a Fortune 500 CAIO expand AI opportunity pipeline value by 42% and reduce projected time-to-production by 28%.

What’s inside The Boardroom:

• A new AI transformation blueprint every quarter

• The Executive AI Index

• Full AI-native professional guides

• Extended version of Enterprise AI Executive

If you’re looking to drive enterprise AI P&L impact, join us inside The Boardroom.

Last call: Join before 8pm ET (US Eastern) today (28th June) to receive this quarter's blueprint on selling large-scale AI programs.

BEST PRACTICE INSIGHT & CASE STUDIES

Data readiness for scaling AI impact

Brief: McKinsey outlined the data challenges that hold companies back from scaling AI, and set out the practical steps Chief Data Officers (CDOs) can take to overcome them and turn their data into a solid foundation for enterprise AI.

Breakdown:

• More than two-thirds of high-performing companies say that data is the primary challenge in capturing value from gen AI (image above).

• CDOs should bring structured and unstructured data into data products and establish shared foundation services (e.g. retrieval layers).

• Enable federated delivery on top of common infrastructure, and manage derived artifacts like embeddings as core enterprise assets.

• Govern semantic consistency across access paths/modalities, and assess readiness against four metrics: reuse, reliability, governance, scale.

Why it’s important: To scale AI across the organization, CDOs must treat data as a core enterprise asset, with the standards and controls that make it reliable, traceable, and usable across applications. Those who manage this balance scale AI safely, consistently, and fast.

INNOVATION INSIGHT

OpenAI previews GPT‑5.6 series

Brief: OpenAI began a limited preview of its GPT-5.6 series: Sol, the flagship model built for frontier reasoning; Terra, a balanced model for everyday work; and Luna, a fast, low-cost option for lighter, high-volume workloads.

Breakdown:

• Sol targets frontier reasoning and long-horizon agentic work; Terra balances cost and quality; and Luna is the fastest, cheapest.

• GPT-5.6 Sol sets a new state of the art on Terminal-Bench 2.1, testing command-line workflows that need planning, iteration, tools.

• GPT-5.6 adds a max reasoning effort, letting Sol think longer on hard tasks, plus an ultra mode using subagents to accelerate work.

• Under a staggered rollout, OpenAI previews the model to a small group of partners, with the government approving  customer access.

Why it’s important: First it was Fable 5 and Mythos 5; now GPT-5.6. The U.S. is actively deciding when and how frontier AI reaches general availability. The framing is security, with the government testing for safeguards, though OpenAI wants a more sustainable path long-term.

AI-NATIVE PROFESSIONAL

How to create a process flowchart with Claude

Brief: In this guide, you'll learn how to turn written procedures into interactive visual flowcharts that make complex processes easier to follow and share. Claude maps your documentation into clear diagrams built for your team.

Step-by-step:

1. Provide your process document so Claude can identify the structure, decision points, and flow logic that shape your full procedure.

2. Claude analyzes your documentation and transforms it into an interactive Sankey diagram that visualizes pathways and volume distribution.

3. Each process phase becomes a clickable card that reveals the detailed documentation behind it.

4. Claude can reorganize the flow direction and apply color coding systems to separate the different owners or stages in your diagram.

Best practice: Set up a dedicated Project for process mapping, then upload your process documents and standards to Project Knowledge.

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

MARKET INSIGHT

Anthropic Economic Index: Cadences

Brief: Anthropic published its 33-page Economic Index report, Cadences, which samples Claude usage data more frequently than previous reports, enabling analysis of how professionals use AI throughout the day, down to the hour.

Breakdown:

• Work conversations produce documents and reports (20%), then explanations (9%), email drafts (7%), and analyses/summaries (6%).

• The image above shows a positive relationship between the median number of tokens in a conversation and the mapped occupation wage.

• Marketing managers earn about twice what editors do ($80 vs. $37 an hour), and conversations on their tasks use 2.5x the tokens.

• Token use by artifact tells a similar story: more complex, valuable outputs consume far more, where app-building tops 3x the median.

Why it’s important: In conversations mapped to higher-wage work, Claude produces more per turn while users engage more, and these move together: more from Claude does not mean less from the user. When professionals remain in the highest-value tasks, AI augments rather than displaces.

Exponential View published a 66-slide report finding gen AI revenue hit a $175bn annual run rate, growing 3x faster than any IT wave.

Capgemini published a 120-page report on data centers as 77% of utility leaders expect data center power demand to outpace supply.

BCG Platinion detailed the 'Agentic Software Factory,' where AI agents build, test, and ship software for 3-5x productivity.

IBM published a 27-page report finding firms that pair AI with strong change skills see up to 73% higher revenue growth than peers.

WEF, with Accenture, released a financial services AI playbook urging a two-speed mix of quick productivity wins and lasting value.

EY shared CIO roundtable takeaways that talent, not tech, decides AI value as leaders weigh adoption against unpredictable AI costs.

The U.S. cleared Anthropic to deploy Mythos 5 to roughly 100 vetted firms and agencies, easing a two-week standoff.

Microsoft introduced AI Skills for Copilot in Excel, reusable workflows with pre-built skills for modeling and variance analysis.

Anthropic accused Alibaba of the largest known distillation attack, extracting 28.8M Claude exchanges via nearly 25K fake accounts.

U.S. tech giants backed, including OpenAI, Anthropic, Microsoft, and Amazon, RAISE US, a $500M push to ease U.S. AI job disruption.

Google DeepMind added computer-use to Gemini 3.5 Flash, letting the model power agents that navigate browsers, apps, and desktops.

China's Zhipu GLM 5.2 lands within a point of Anthropic's Opus 4.8 on a key agentic benchmark at a fifth of the cost.

CAREER OPPORTUNITIES

BlackRock - Head of AI Transformation

Google - Head of Agentic Business Intelligence

NiCE - AI Transformation Senior Director

EVENTS

Unifeye - Data + AI Summit Executive Debrief - July 1, 2026

OpenAI - Codex for Everyday Use - July 7, 2026

ALIGN AI Executive Summit - August 19, 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.