{{first_name | Hi}}, your strategic AI update is here.

WPP piloted an AI buying agent for premium video, SAP and Google Cloud went agentic for enterprise commerce, and Gallup tied AI avoidance to triple the layoff rate. Buying the tools is the easy part. A new BCG survey of nearly 12,000 workers proves strategy now delivers five times the impact of tools alone.

"Transformation is a process, not an event."

— John P. Kotter, Professor Emeritus, Harvard Business School & Author of Leading Change

In today's lineup: 

Robots

  • Why AI strategy compounds where tools plateau

  • Real ROI from Gen AI

  • Where your strategy team gets its intelligence

People

  • Pete Florence gives robots a general intelligence

Love

  • How focused AI portfolios compound where sprawl stalls

  • The management gap that separates AI leaders from the rest

Reading time: 3 min. 

ROBOTS 🤖

How are robotics and AI changing industries? We break down the latest news, tools, and innovations for you.

Top Insights

Why AI strategy compounds where tools plateau

Clear AI strategy delivers 25 percentage points more measurable impact than tool access alone. Source: BCG AI at Work 2026, n=9,923 regular AI users.

A new BCG survey of 11,749 workers across 14 markets found that a clear AI strategy delivers 25 percentage points more impact than better tools alone. Tools without strategy deliver five.

The five-to-one advantage is widening because most organizations are still betting on the stack. Nearly half now spend more time managing AI than the work it replaced. Forty-two percent save a full workday per week, yet 66% get no guidance on reinvesting it.

The time is there. The architecture to capture it isn't.

What the leaders do differently:

  • Measure AI output, not AI activity, to separate automation from compounded capacity

  • Redesign the workflows time savings flow back into, or the slack becomes busywork

  • Tie every deployment to a named business outcome with a 90-day ownership structure

Real ROI from Gen AI

How human-centric AI delivers business results

Tool Spotlight

Your weekly briefing on tools that create competitive leverage

Where your strategy team gets its intelligence

Earlier this month, AlphaSense raised $350M at a $7.5B valuation and crossed $600M in annual recurring revenue, with Accenture Ventures joining as a strategic partner to embed AlphaSense's market intelligence into enterprise agentic workflows.

Best for: Strategy, finance, and M&A teams that need to synthesize earnings calls, SEC filings, analyst reports, and expert transcripts into board-ready intelligence.

Choose if you:

  • Need to track competitor moves, market signals, and regulatory shifts across structured and unstructured data at scale.

  • Run M&A due diligence, strategic planning cycles, or investor relations and need cited, auditable sources behind every insight.

  • Want AI-powered search that surfaces the signal inside 300-page filings without a research team to manually extract it.

Best for: Revenue and product marketing teams that need live competitive intelligence delivered at the point of sale.

Choose if you:

  • Run a B2B sales team that needs battle cards, objection handling, and win/loss analysis updated in real time.

  • Lose deals you should win because reps don't have current competitor information during discovery calls.

  • Want competitive intelligence that flows directly into CRM, Slack, or Salesforce without a dedicated analyst.

3 other tools to explore

  • Third Bridge suits strategy and investment teams that need primary expert research and AI-searchable transcripts across 75,000+ companies.

  • Crayon is the automated option for teams tracking competitor moves across web, review sites, and job postings without a dedicated analyst.

  • Hebbia suits investors, bankers, and advisors who need to surface insights from large financial document sets with AI-powered search.

PEOPLE 👥

Meet the innovators turning bold ideas into real-world impact.

Transformation Champion

Pete Florence gives robots a general intelligence

Industrial robots are fast but inflexible. Any new task means months of reprogramming, capping automation ROI exactly where flexibility matters most.

Pete Florence saw this ceiling at Google DeepMind, where he focused on teaching machines to generalize. Earlier this month, Generalist AI raised $400 million at a $2 billion valuation, backed by Radical Ventures, NVIDIA, and Bezos Expeditions. Its GEN-1 model is the first robotics foundation model to achieve commercial viability, proving a single AI can adapt across physical tasks the way a human worker does.

LOVE ❤️

Practical wisdom, growth tactics, and a must-read book that will challenge the way you think.

How focused AI portfolios compound where sprawl stalls

In 2008, Microsoft offered Yahoo $44.6 billion. Yahoo said no. In 2017, Verizon bought what was left for $4.5 billion. Yahoo ran search, email, news, finance, sports, and social simultaneously. None of them compounded. Google ran search until the word became a verb.

Most AI programs are the Yahoo structure. Initiatives accumulate faster than owners are named. Fourteen active priorities with two dedicated owners is not a portfolio. Fourteen initiatives at 14% focus each compounds to nothing.

Before your next planning session: count your active AI initiatives, then count the dedicated owners. If the second number isn't close to the first, you already know what you're running.

Transformative Reads

One book, handpicked from my conversations with friends, industry leaders, and tech innovators:

In Good to Great, Jim Collins found that exceptional performance almost never comes from breakthrough technology. It comes from disciplined strategy, compounding over years. The best companies were slower to adopt technology than peers. They moved only when it amplified a proven strategy. The technology wasn't the cause of their outperformance. It was the accelerant.

Perfect for: CEOs and senior leaders who want a research-backed framework for why strategy discipline outperforms tool acquisition.

In Culture

SpaceX just hit Amazon's market cap on 2% of Amazon's revenue. The market is pricing the next decade, not the last one.


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Much Love,
Matt and the Future Works team

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