The CEO signs more AI than anyone. But the proof is produced somewhere else.
That is the central issue behind The CEO AI Leverage Report from Open Future Forum.
The report looks at how CEOs are deciding, funding, signing, and getting leverage from AI in 2026. It focuses on one of the most important questions now facing the executive team:
What has AI actually changed inside the business?
That is the difference between AI adoption and CEO-level AI leverage.
Watch the Executive Briefing
I covered the report in this Executive Briefing on The Murray Newlands Show:
You can also watch the video directly on YouTube here: The CEO AI Leverage Report — Executive Briefing.
Why The CEO AI Leverage Report Matters
The CEO is now at the center of the AI decision.
AI is no longer just an innovation experiment, a technical initiative, or a side project in one business unit. AI spend has moved into core budgets, AI expectations have moved into the boardroom, and AI accountability has moved to the CEO seat.
But there is a major gap.
The CEO may sign the AI purchase.
The CEO may own the AI story.
The CEO may be accountable to the board.
But the proof of AI impact usually has to be produced somewhere else.
Finance has to prove ROI.
IT has to make the systems work.
Security has to govern the risk.
Marketing has to show leverage, attribution, and authority.
Sales has to show pipeline impact.
Product and operations have to show workflow change.
That is the CEO mandate gap.
The CEO Mandate Gap
The CEO AI Leverage Report argues that CEOs are increasingly the main AI decision-makers, but the actual evidence of AI value is distributed across the company.
That makes AI different from many other technology decisions.
The CEO cannot only ask whether the company has bought AI tools.
The CEO has to ask whether AI has changed business performance.
The key questions are:
- Has AI changed the cost structure?
- Has AI changed the headcount plan?
- Has AI changed output?
- Has AI changed workflow?
- Has AI changed customer experience?
- Has AI changed speed of execution?
- Has AI changed governance?
- Has AI changed the company’s ability to grow without adding resources at the same rate?
Those are CEO AI leverage questions.
The CEO AI Leverage Index
One of the central ideas in the report is the CEO AI Leverage Index.
The CEO AI Leverage Index is designed to measure whether AI is allowing companies to grow output without matching headcount growth, or replace planned hires.
That is the right question for the CEO seat.
CEOs are not ultimately judged on whether they bought AI software.
They are judged on whether AI changes the company’s performance.
AI leverage means the company can do more without scaling cost at the same rate.
AI leverage means the CEO can say not only, “We deployed AI,” but:
“This is what AI changed.”
Adoption Is Not Leverage
Many companies can now say they are using AI.
They have pilots.
They have tools.
They have employees using ChatGPT, Claude, Gemini, Copilot, and other AI systems.
They may have AI inside marketing, finance, sales, product, engineering, customer support, HR, or operations.
But usage is not leverage.
Adoption is not leverage.
Even deployment is not always leverage.
The CEO has to know whether AI is changing the operating math of the business.
Is the company getting more output for the same or fewer resources?
Is AI helping the business move faster?
Is AI improving decision quality?
Is AI reducing manual work?
Is AI replacing planned spend?
Is AI improving customer outcomes?
Is AI creating measurable return?
If the answer is unclear, the company may have AI activity, but not CEO-level AI leverage.
The Proof Window Is Short
One of the biggest changes in the AI market is that executives are no longer willing to fund open-ended AI experimentation.
The first wave of enterprise AI was about exploration.
The second wave was about pilots.
The third wave is about proof.
CEOs now have to show what AI actually changed.
- What did AI make faster?
- What did AI make cheaper?
- What did AI make more measurable?
- What did AI improve?
- What did AI replace?
- What did AI help the company stop doing?
- What did AI help the company do that was previously impossible?
Those are not abstract questions.
They are boardroom questions.
They are budget questions.
They are CEO questions.
Why AI Is a Full C-Suite Issue
The CEO AI Leverage Report is focused on the CEO seat, but it is not only relevant to CEOs.
AI leverage is now a full C-suite issue.
For the CFO, AI leverage is about ROI, budget discipline, productivity, cost savings, and capital allocation.
For the CIO and CTO, AI leverage is about scalable systems, data infrastructure, technical integration, workflow automation, and platform reliability.
For the CISO, AI leverage is about governance, access, security, agent risk, shadow AI, and enterprise risk oversight.
For the CMO, AI leverage is about content velocity, customer insight, attribution, brand authority, answer engine optimization, and go-to-market efficiency.
For the CRO, AI leverage is about pipeline generation, sales productivity, account intelligence, forecasting, and revenue operations.
For the board, AI leverage is about measurable business impact, risk, governance, and durable competitive advantage.
The CEO has to connect all of these conversations into one answer:
Is AI creating leverage for the business?
The CEO Signs the Ambition. The Company Must Produce the Evidence.
That is the core tension in the report.
The CEO may be the person who signs the AI purchase or sets the AI mandate.
But the evidence of AI value usually appears inside the functions.
The CFO sees it in the numbers.
The CIO sees it in systems.
The CISO sees it in governance and risk.
The CMO sees it in attribution and demand.
The CRO sees it in pipeline and revenue productivity.
The business unit sees it in workflow and operational performance.
If those functions cannot produce proof, the CEO’s AI story weakens.
That is why AI leverage has to be managed as an operating discipline, not just a technology initiative.
AI Governance Is Now a CEO Issue
The report also connects CEO AI leverage to governance.
When AI moves quickly, governance debt can build quietly inside the company.
AI tools enter through different departments.
AI agents gain access to systems and data.
Employees experiment with unapproved workflows.
Vendors introduce new integrations.
Security and compliance teams inherit risks they may not have approved at the start.
This makes AI governance a CEO issue.
The CEO needs to know:
- What AI systems are running?
- What AI agents have access?
- What data can they touch?
- Who approved them?
- Who owns the risk?
- What happens when something fails?
- What budget governs the risk?
AI acceleration without governance creates risk debt.
The CEO cannot separate AI leverage from AI accountability.
The Board-Level AI Question
For boards, the question is no longer simply whether the company has an AI strategy.
That is too broad.
The stronger board-level question is:
Where is AI actually creating leverage?
Not where are we experimenting.
Not what tools did we buy.
Not which vendors are in the stack.
Where is AI changing the company’s performance?
Where is it improving operating economics?
Where is it reducing manual work?
Where is it creating measurable output?
Where is governance keeping up?
That is the board-level AI conversation CEOs now need to lead.
The New CEO Mandate
The CEO AI Leverage Report captures a major shift in the enterprise AI conversation.
The CEO is no longer outside the AI decision.
The CEO is increasingly the decision.
But the CEO still has to close the distance between the signature and the proof.
That is the mandate gap.
The CEO signs the ambition.
The company has to produce the leverage.
The winners in the next stage of AI will not be the companies that simply buy the most tools or announce the most pilots.
They will be the companies that connect AI to measurable output, stronger governance, better workflows, faster execution, and better operating economics.
They will be the companies that can say:
This is what AI changed.
