Briefing #17. {{current_date_mdy_dashed}}
Welcome to The Boardroom Brief — the intelligence briefing for leaders who run the room.
Every week (for paid subscribers) or every month (for free subscribers), I cut through the noise: AI tools worth your time, strategy moves worth stealing, and the numbers you actually need to know. No hype. No firehose of daily headlines. No tutorials written for developers. Just signal.
Let's get into it.
🧠 The Big Idea
The executives winning with AI aren't using it more. They're using it differently.
PwC published their 2026 AI Performance Study last week — a survey of 1,217 senior executives across 25 industries. The headline finding should be on every C-suite leader's radar:
The top 20% of AI-adopting companies are capturing 74% of the total value created by AI across the global economy. They're generating 7.2x greater AI-driven financial returns than their peers.
The other 80%? They're not sitting on the sidelines. They're using AI too. PwC found that 56% of them report zero measurable financial benefit from their AI initiatives.
Let that land for a second.
The difference isn't budget. It isn't access — tools are commoditized. It comes down to three things PwC found consistently in the top performers:
1. They redesign workflows — they don't layer tools onto broken ones.
The bottom 80% bolt AI onto existing processes and call it transformation. The top 20% ask a harder question first: does this process need to exist in its current form at all?
2. They move from pilots to production.
The majority of companies are perpetually running AI pilots. The leaders have a defined path from experiment to operating model — with ownership, metrics, and a deadline.
3. They use AI to grow, not just to cut.
The top performers are 2.6x more likely to use AI to reinvent their business model and create new revenue streams — not just reduce headcount or automate back-office tasks.
The gap is widening. Leaders reinvest their AI gains to learn faster and automate more. The longer you stay in pilot mode, the further behind you fall.
Source: PwC 2026 AI Performance Study
🛠 Tool of the Week
Fireflies.ai — The AI that attends meetings so you don't have to (entirely)
If you're still taking notes in meetings — or relying on someone else to — you're leaving hours on the table every week.
Fireflies joins your calls (Zoom, Teams, Meet), transcribes in real time, extracts action items, and delivers a structured summary to your inbox before the meeting ends. It integrates with your CRM, Slack, Notion, and project management tools.
The use case that converts skeptics: searching across six months of meeting transcripts in ten seconds to find exactly what was decided, who said it, and when. No more "I thought we agreed on this."
More relevant to this issue's theme: Fireflies is the first step toward the AI-attended meeting model the top 20% are deploying. Start with transcription and summaries. The next step is deciding which meetings the AI can own entirely.
Plans from $10/month. Most executives land on Pro ($19/month) — unlimited transcription, advanced search, CRM sync.
📊 By the Numbers
74% — Share of AI's total economic value captured by the top 20% of adopting companies. The other 80% split the remaining 26%. (PwC AI Performance Study, April 2026)
7.2x — The financial return multiple separating AI leaders from the rest. Same tools. Different approach. (PwC AI Performance Study, April 2026)
23 hours — Average time senior executives spend in meetings each week. More than a third produces no decision and no output that couldn't be delivered asynchronously. (Harvard Business Review)
🎯 The Move
Find your pilot-mode AI initiative — and give it a production deadline.
Most organizations have at least one AI initiative that has been "in pilot" for more than 90 days. You know the one. Ask the team three questions:
What would it take to move this from pilot to production in 60 days?
What metric will tell us it's working?
Who owns it when it's live — not the experiment, but the outcome?
If you can't answer all three, the pilot isn't close to production. That's useful information.
📌 Worth Reading
1. PwC 2026 AI Performance Study
The source behind this issue's Big Idea. If you share one AI research piece with your board this quarter, make it this one. The capital allocation implications are significant. (~10 min read)
2. Dear Manager, You're Holding Too Many Meetings — HBR
The research behind the 23-hour stat. Senior executives have nearly tripled their meeting time since the 1960s. The cost — in decision quality and deep work — is documented here. (~6 min read)
3. The Emerging Agentic Enterprise — MIT Sloan + BCG
MIT Sloan Management Review and BCG's 2025 global executive survey on AI strategy. Maps exactly why organizations stall between pilot and production — and what the ones who don't stall do differently. (~10 min read)
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