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Welcome executives and professionals. Enterprise debts embedded across processes, data, technology, and talent are quietly derailing AI scale and increasing costs.

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:

• $18 trillion in trapped AI value.

• Two futures of jobs in the AI era.

• Selecting the right genAI partners.

• AI token economics for executives.

• Transformation and technology in the news.

• Insights for Executive+ members.

• Career opportunities & events.

Read time: 4 minutes.

MARKET & BEST PRACTICE INSIGHT

$18 trillion in trapped AI value

Brief: Genpact and HFS Research surveyed 2,000+ enterprise executives across 16 industries and 14 functions, identifying nearly $18 trillion in recoverable value and four interconnected enterprise debts holding it back.

Breakdown:

• Data debt is the gap between data firms have and what AI needs, only 33% is AI-ready and 42% of projects fail due to data quality issues.

• Process debt is the cost of manual, ungoverned workflows that waste 40% of weekly employee time. AI just executes the wrong steps faster.

• Tech debt is the legacy infrastructure tax: core enterprise systems average 10 years old, and 42% of developer time is spent servicing them.

• Talent debt is the workforce's readiness gap for AI: only 32% are AI-ready, and it silently amplifies every other debt.

Why it’s important: Resolving these debts (image above) unlocks 8% faster revenue growth and 16% lower costs, yet 85% say they actively limit AI value and over half lack a funded plan to address them. With ~13% of function spend now on AI, the ambition-foundation gap has never been costlier.

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.

Join before June 29 to access this quarter's blueprint on selling large-scale AI transformation programs, whether internally or to clients.

MARKET & BEST PRACTICE INSIGHT

Two futures of jobs in the AI era

Brief: PwC's 2026 Global AI Jobs Barometer analyzed over a billion job ads from six continents, revealing AI is creating a two-track labour market in which skills like judgement and leadership are even more critical and rewarded.

Breakdown:

• Since AI use soared in 2022, firms in the most AI-exposed sectors have tripled their productivity lead over the least exposed.

• Rather than replacing jobs at scale, leading organisations are using AI to amplify human performance and increase wages.

• AI-exposed junior roles are 7x more likely than less-exposed peers to demand traditionally senior skills like strategic thinking.

• AI is having two different impacts on jobs depending on whether it is automating more or less expert tasks (image above).

Why it’s important: AI is driving substantial productivity gains for companies and, perhaps surprisingly for some, those seeing the biggest gains are increasing wages and headcount faster than their less AI-exposed peers. AI adoption is expanding opportunity rather than eliminating it.

MARKET INSIGHT & CASE STUDIES

Selecting the right genAI partners

Brief: BCG and AWS's third annual GenAI Partner Survey of 1,100+ organizations explores how CTOs can choose the right partners for each phase of the gen AI journey, and how partner-selection criteria are shifting.

Breakdown:

• Partners are central to enterprise genAI value: 75% see them as major contributors to ROI, and 85% plan to expand engagement.

• Partner engagement shifts across the five-phase maturity curve: classic consulting partners follow a U-curve: high early, lower in execution.

• Meanwhile the use of systems integrators peaks at 46% when operational objectives dominate. Case studies are highlighted throughout.

• Purchasing criteria are shifting: More organizations now recognize that they need partners with deep technical expertise (image above).

Why it’s important: The organizations achieving the strongest genAI returns share a common approach: they've aligned their partner strategy with their technology roadmap. They recognize that the objectives defining each maturity stage differ substantially, and each requires specialized expertise.

AI-NATIVE PROFESSIONAL

How to package your brand guidelines in a skill

Brief: In this guide, you'll learn how to package your brand guidelines into a reusable skill that lets Claude automatically create presentations, spreadsheets, and documents matching your own preferred fonts, colors, and style.

Step-by-step:

1. Walk Claude through your brand fonts, colors, and stylistic choices, then ask it to structure them into a brand-consistent skill.

2. Upload any existing brand guidelines, style sheets, or design documents to serve as examples Claude can reference inside the skill.

3. Claude produces a complete skill package with brand colors, hex values, typography, fallback fonts, and rules for when it applies.

4. Your brand-guidelines skill can pair with others you've created, like product-research or writing-standards, for polished, aligned work.

Best practice: Use scripts, not instructions, for brand specifications where consistency matters more than creativity.

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

BEST PRACTICE INSIGHT

AI token economics for executives

Brief: Infosys published a paper giving executives a plain-language framework for understanding enterprise AI token economics: what drives costs, how to forecast them, how to govern them, and what the ROI of doing so looks like.

Breakdown:

• AI token costs are poorly governed not because they're uncontrollable, but because their governance frameworks are less understood.

• Build observability first, you cannot govern what you cannot see. Then add AI model routing: lowest effort, highest return.

• Deploy quality guardrails in audit mode first, then enforce; add workflow budget controls as automated pipelines mature.

• Executive ownership of governance decisions (image above) is consistently the single biggest predictor of a program's cost outcomes.

Why it’s important: AI token costs are architecture-driven, not user-driven: two decisions, how you route AI model calls and how you information govern retrieval, drive 78% of achievable savings. Enterprises that build governance before they scale spend 40-50% less, with no loss of capability.

BCG released a 33-slide executive playbook on how agentic AI is reshaping the finance function and how CFOs capture its full value.

Forrester warned that Anthropic's export-forced shutdown of Fable 5 makes single-sourcing any frontier model a real continuity risk.

BCG published a 32-slide playbook on how agentic AI is redefining core enterprise operations. This is applied AI at its most transformative.

Deloitte published a 10-page analysis on the algorithmic shelf, where consumer brands risk silent disintermediation by AI agents.

BCG published a 13-page CMO survey including a view of the agentic marketing stack and evolving marketing organization.

EY detailed how up to 75% of AI value stays trapped between functional silos, and how agentic AI can orchestrate work to unlock it.

100+ cybersecurity leaders signed a letter urging the U.S. to lift its Fable 5 ban, saying it handcuffs defenders, not attackers.

SpaceX exercised its option to buy AI coding startup Cursor in a $60B all-stock deal, coming on the heels of a post-IPO rally.

Salesforce acquired Fin (formerly Intercom) for $3.6 billion, adding its support agents and 30K customers to its Agentforce lineup.

Anthropic faces a new federal lawsuit alleging it oversells its paid Claude plans, with actual usage below what's advertised.

Cursor introduced Origin, the company's new GitHub competitor, and launched an iOS mobile app, in beta, for its AI coding platform.

Z.ai released GLM-5.2, an open-weights model rivaling GPT-5.5 and Claude Opus 4.8 on coding, the closest yet to top closed systems.

CAREER OPPORTUNITIES

U.S. Bank - AI Transformation Director

TIAA - AI Strategy Senior Managing Director

OpenAI - Executive Programs Narrative Lead

EVENTS

AWS Summit Washington D.C. - June 30-July 1, 2026

Anthropic for Life Sciences - Jun 30, 2026

Reuters Momentum AI - September 24-25, 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.

Guaranteed impression and custom sponsorship packages available, with post-send performance reporting.

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.