Lead with AI research

AI Strategy Index

How the largest companies in the US and Europe approach AI. Every profile answers the same four questions from public sources, so you can compare one company's strategy with another's.

By Daan van Rossum, Lead with AI · Updated November 2026

Question 01

Where are we going?

The AI ambition, in leaders' own words.

Question 02

Where will we focus?

The priorities: products, customers, operations or people.

Question 03

What will it take?

Owners, investment, partners, skills and AI fluency.

Question 04

How will we know it's working?

The results and measures the company reports.

United States

Banking & financial services

Europe

Insurance

Allianz AI Strategy: Agents in Claims, Cuts in Call Centers

AI strategy:

Part of corporate strategy

Banking & financial services

BBVA AI Strategy: Building an AI-Native Bank, Agent by Agent

AI strategy:

Published AI strategy

Energy & utilities

Iberdrola AI Strategy: 500 Agents and a Certified Rulebook

AI strategy:

Published AI strategy

Fintech

Klarna AI Strategy: An AI-Powered Company, with a Human on Request

AI strategy:

Part of corporate strategy

Banking & financial services

Lloyds Banking Group AI Strategy: Agentic AI at Scale, with a Value Target

AI strategy:

Published AI strategy

Retail & consumer goods

L’Oréal AI Strategy: One L’Oréal, Powered by AI

AI strategy:

Part of corporate strategy

Healthcare & pharma

Novartis AI Strategy: Productivity Now, R&D Later

AI strategy:

Part of corporate strategy

Healthcare & pharma

Sanofi AI Strategy: In-House AI at Scale, Under a New CEO

AI strategy:

Published AI strategy

Energy & utilities

Shell AI Strategy: AI in the Cost Plan, Savings Not Yet Banked

AI strategy:

Part of corporate strategy

Manufacturing & automotive

Siemens AI Strategy: Industrial AI for Customers, Proof in Its Own Factories

AI strategy:

Part of corporate strategy

Energy & utilities

TotalEnergies AI Strategy: Copilot for the Office, Data for the Plant

AI strategy:

Published AI strategy

Retail & consumer goods

Unilever AI Strategy: A Business Strategy Powered by AI

AI strategy:

Part of corporate strategy

Compare by Sector

We looked at how each company compares with others in its sector. Here is how they stack up. Each company name links to its full profile.

Financial Services

Company	Disclosure	AI owner	Fluency floor	Governance	AI value reported	Revenue per employee
Allianz	3 of 4	No named AI owner; board COO covers IT	Level 1, by participation	Eight principles and a register of every use case	Results by use case, no total	$1.35M
Bank of America	4 of 4	CTIO; no Chief AI Officer	Not disclosed	Controls, no published principles	Yes: $250M to $300M in 2026, with a 2027 figure	$531k
BBVA	4 of 4	AI Transformation area at the top of the bank	Level 1, training required before access	Eight published principles	Results by process and agent	$328k
Goldman Sachs	3 of 4	CIO, sponsored by the top three executives	None declared	Firmwide AI risk committee	No: weekly use only	$1.23M
JPMorgan Chase	4 of 4	Chief Data and Analytics Officer, passing to the CTO	None declared (use is opt-in)	Little published	Earlier savings estimate, no longer updated	$573k
Klarna	3 of 4	CEO	Not disclosed	None published	Yes: savings and work done by AI	$1.24M
Lloyds Banking Group	4 of 4	Chief Data and AI Officer	Level 1, mandatory training	Responsible AI team and framework	Yes: about £50M in 2025, £100M+ target	$377k

Energy and Utilities

Company	Disclosure	AI owner	Fluency floor	Governance	AI value reported	Revenue per employee
Chevron	2 of 4	Chief Data and Analytics Officer	Not published	Thin: no published principles	Yes: more than $100M in 2026	$4.39M
Iberdrola	3 of 4	Global AI Centre and IT division	Not published; training open to all	Board policy, ISO/IEC 42001 certified	No: counts of projects and agents	$1.10M
NextEra Energy	3 of 4	NextEra Analytics	Not published	Not described	Yes: dollar savings and a target	$1.58M
Shell	2 of 4	Global Head of AI	Not published	Not described	No: inside the wider cost program	$3.14M
TotalEnergies	3 of 4	No single owner; OneTech builds	In part: all staff to be trained	In part: agent review committee	Results by use case, no total	$1.98M

Pharma

Company	Disclosure	AI owner	Fluency floor	Governance	AI value reported	Revenue per employee
Eli Lilly	3 of 4	Chief AI Officer	Level 1, by expectation	Eight principles, board briefings	No: capacity and deals	$1.30M
Moderna	2 of 4	Chief People and Digital Technology Officer	Level 1, by expectation	Mentioned, not described	No: adoption figures	$414k
Novartis	2 of 4	CIO; no Chief AI Officer	Role-based paths, no company-wide floor	Published, a standing board topic	Linked to lower costs, no figure	$725k
Pfizer	3 of 4	Chief AI, Data and Analytics Officer	Level 1, 98% trained	Three principles, a board risk topic	Inside wider cost programs	$834k
Sanofi	4 of 4	Chief Digital Officer	Level 1, about 80% use	RAISE framework, five pillars	Results by use case, no total	$644k

Retail and Consumer Goods

Company	Disclosure	AI owner	Fluency floor	Governance	AI value reported	Revenue per employee
L’Oréal	4 of 4	Executive for AI, data and shared services	Level 1 in practice, about 73,000 trained	Principles stated in one line	Results by use case, no total	$510k
Starbucks	2 of 4	COO, for the store rollout	Not disclosed	A design rule, no framework	Pilot results only	$98k
Target	3 of 4	Chief AI Officer (from August 2026)	Not disclosed	Not published	Results by feature	$252k
Unilever	4 of 4	No single owner	Not disclosed; 23,000+ trained	Every AI use reviewed, a named owner accountable	Results by use case, no total	$571k
Walmart	4 of 4	EVP of AI acceleration	Not disclosed	Published Responsible AI Pledge	Product figures, no dollar value	$340k

Disclosure counts how many of the four strategy questions (where it is going, where it will focus, what it will take and how it will know it is working) a company answers in public. Fluency floor is the lowest level of AI fluency a company expects of all its people, on the five levels of the Lead with AI Fluency Matrix: Avoiding (0), Chatting (1), Collaborating (2), Integrating (3) and Transforming (4). The other columns summarize each company’s profile. Revenue per employee is for each company’s latest fiscal year, in US dollars. Groups appear once at least three companies in a sector have published profiles.

How the index works

The index starts with the S&P 100 and the STOXX Europe 50, two indexes of the largest companies in the US and Europe. A few other companies are profiled as featured case studies and are not counted. Profiles use public sources only, such as annual reports, earnings materials, filings and on-record interviews, and are dated at the time of writing.

Each profile notes where the company sets out its AI strategy: in a published AI strategy, as part of its corporate strategy, or inferred from public sources when there is no official statement. AI fluency is coded against the Lead with AI Fluency Matrix, and company figures are marked as company-claimed unless they have been independently verified.

Read about the AI Fluency Matrix

AI Strategy Index

Where are we going?

Where will we focus?

What will it take?

How will we know it's working?

United States

Bank of America AI Strategy: Bigger AI Bets, Each with a Payback

Chevron AI Strategy: Both Sides of the AI Equation

Eli Lilly AI Strategy: Owning the Compute to Reinvent Drug Discovery

Goldman Sachs AI Strategy: An Operating Model Rebuilt Around AI

JPMorgan Chase AI Strategy: How the Top-Ranked AI Bank Builds and Measures AI

Moderna AI Strategy: Merging HR and IT to Redesign Work

NextEra Energy AI Strategy: Power, Savings and Software

Pfizer AI Strategy: AI Fluency for Everyone, Accountability for Every Leader

Starbucks AI Strategy: AI That Stays Behind the Counter

Target AI Strategy: Using AI to Power a Turnaround

Walmart AI Strategy: Getting Ready for Agent-Led Shopping

Europe

Allianz AI Strategy: Agents in Claims, Cuts in Call Centers

BBVA AI Strategy: Building an AI-Native Bank, Agent by Agent

Iberdrola AI Strategy: 500 Agents and a Certified Rulebook

Klarna AI Strategy: An AI-Powered Company, with a Human on Request

Lloyds Banking Group AI Strategy: Agentic AI at Scale, with a Value Target

L’Oréal AI Strategy: One L’Oréal, Powered by AI

Novartis AI Strategy: Productivity Now, R&D Later

Sanofi AI Strategy: In-House AI at Scale, Under a New CEO

Shell AI Strategy: AI in the Cost Plan, Savings Not Yet Banked

Siemens AI Strategy: Industrial AI for Customers, Proof in Its Own Factories

TotalEnergies AI Strategy: Copilot for the Office, Data for the Plant

Unilever AI Strategy: A Business Strategy Powered by AI

Compare by Sector

Financial Services

Energy and Utilities

Pharma

Retail and Consumer Goods

How the index works