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MarketScale Intelligence · The Signal

Updated dailyLast updated July 25, 2026← Latest edition

Enterprise AI hits a results wall while energy and marketing read the same problem

Across software, marketing, and healthcare, the dominant read this week is not adoption but failure to show returns, and the energy merger story keeps its grip for the fifth consecutive week.

The 3-minute brief

Today's read, out loud. Casual, fast, a couple of ideas to run with.

≈3 minUpdated Jul 25, 2026
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Reading trajectory · this week

The state of demand

Overall reading is up double digits week over week, with 17 industries active and three rising sharply: Marketing Tech, Retail, and Sciences all jumped this week after a quiet stretch. Software and Technology continues to lead by a wide margin, sustained at peak momentum, while Healthcare is climbing steadily. The dominant theme across this edition is not AI adoption but what happens after it: budgets blown, performance flat, integration shallow. That story is now being read across software, marketing, and business services simultaneously. The NextEra-Dominion merger has led energy reading for five straight weeks; it has not cooled, and the regulatory opposition is adding new readers rather than replacing old ones.

Today, in brief

  • The most-read theme this week is enterprise AI performance failure: budgets over, results under, and adoption near-universal but shallow. It is pulling readers across Software, Marketing Tech, and Business Services at the same time.
  • B2B marketing AI adoption is climbing again after a brief plateau, driven by new data showing nearly all marketers using AI tools while fewer than four in ten say the tools are working.
  • The NextEra-Dominion merger has now held the top energy reading spot for five consecutive weeks, and Senator King's FERC challenge has added urgency rather than dampening interest.
  • Marketing Tech, Retail, and Sciences each surged sharply this week from low bases, suggesting broader business-strategy reading is pulling professionals outside their usual verticals.
  • Industrial manufacturing M&A is a sustained second-tier read, with mega-deals and AI infrastructure driving deal volume to levels that are pulling in readers from IIoT and beyond.

The movers

What the market is reading right now

The day's trends, ranked from real reading demand. Filter by industry or direction, and open any trend for the read and its sources.

  1. The clearest signal in this week's data is not how many organizations have adopted AI. It is how many have adopted it and cannot show what they got. Three separate reading clusters converge on the same finding: adoption is near-universal, results are not. In B2B marketing, 95% of teams report using AI tools, but fewer than four in ten say performance has actually improved. In enterprise software, McKinsey data being widely circulated puts 93% of AI teams over budget, with response refinement alone eating 60% of agentic AI spend. An MIT study getting steady traffic finds only 11% of S&P 500 firms have deeply integrated AI into operations. This is not a new theme, but it is sharpening. Earlier this week the story was about cost overruns. Now it is also about the gap between what AI looks like in a board presentation and what it does on a factory floor or in a marketing workflow. Buying committees in B2B have grown to an average of 11.2 members, which means more people are involved in AI purchasing decisions at the exact moment fewer of them can point to clear wins. For leaders, the read here is practical. The organizations pulling ahead are not the ones that adopted fastest. They are the ones that instrumented adoption carefully enough to know which parts work. That is a much smaller group than the headline adoption numbers suggest, and it is creating a real market for the people who can close that gap.

    Why it's moving This theme spans the three highest-momentum industries this week and draws from multiple articles each reinforcing the same underlying pattern of adoption without measurable outcome.

Idea board

What you could build off this

Concrete moves the demand points to, not themes. Filter by type, or show only the strongest-signal ideas.

ServiceStrong

An AI results audit for B2B marketing teams: find where the spend is going and what is actually working

A structured eight-week engagement that maps every AI tool a marketing team is using, ties each to a measurable output, and delivers a ranked view of what to keep, cut, or reconfigure. Delivered by a small team with both marketing operations and data skills. Priced at a flat monthly rate for the engagement period.

Why now
95% of B2B marketers use AI and fewer than four in ten say it works. That gap is not a knowledge problem, it is a measurement problem. The demand for someone to come in and show the receipts is real and growing, and there is no obvious incumbent doing it well.
Who
Marketing consultancies, B2B SaaS analytics vendors, or former marketing operations leaders who understand both the tools and the metrics.
First move
Draft a one-page diagnostic framework that maps common B2B AI tools to measurable KPIs, then take it to five CMOs in your network and ask if they would pay to run it. The answer will tell you the price and the packaging.

Signal b2b marketing, ai tools

ServiceStrong

A GEO monitoring service for mid-size B2B companies: track whether AI answers mention you, and fix it when they do not

A subscription service that monitors a company's presence in AI-generated search answers across major platforms, benchmarks it against competitors, and provides monthly recommendations for improving visibility. Delivered as a dashboard plus a monthly advisory call. This addresses a gap the demand data has flagged repeatedly: most B2B companies rank in traditional search but are absent from AI answers.

Why now
An article circulating widely this week finds that 87% of B2B brands do not appear in AI search results even when they rank on page one. The problem is now documented and named. The first services to address it will define the category.
Who
SEO agencies with B2B clients, content strategy firms, or MarTech vendors with existing analytics infrastructure.
First move
Run a free audit for three mid-size B2B clients this week: check their visibility in ChatGPT, Perplexity, and Google's AI Overview for their top five buying-intent queries. Package the findings as a shareable one-pager and use it as the lead-generation asset.

Signal b2b marketing, ai tools

ServiceStrong

A mid-market AI implementation team: the Ode model for companies too small for a $1.5B joint venture

A small firm of two to five engineers and one operator who embed inside a mid-market company for 90 days, take one AI use case from proof-of-concept to working production system, and leave with documentation and trained internal staff. Priced per engagement with a defined scope and a fixed end date.

Why now
Anthropic and Microsoft are both placing engineers inside enterprises to fix deployment failures, but their minimum viable client is a Fortune 500. The same problem exists at companies with 200 to 2,000 employees, and there is no structured service addressing it at that scale.
Who
Former AI engineers from large tech companies, boutique technology consultancies, or AI product managers who have shipped internal tools and want to go independent.
First move
Write down the one AI implementation you have personally completed that delivered a clear result. That is your case study. Post it plainly on LinkedIn this week and ask who has the same problem unsolved. You need one paying client to start.

Signal enterprise ai, ai infrastructure

ServiceStrong

A power procurement advisory for large buyers in Virginia, North Carolina, and South Carolina during the NextEra-Dominion regulatory window

A six-month advisory retainer that tracks the FERC review, models rate and contract scenarios under different merger outcomes, and helps large power buyers in the affected states lock in favorable terms before the regulatory decision closes the window. Designed for commercial real estate operators, manufacturers, and data center developers.

Why now
The 180-day regulatory clock is running. Large buyers in the affected states have a finite window to renegotiate or lock procurement terms before the merger outcome is known. Senator King's FERC challenge adds uncertainty that makes the advisory more valuable, not less.
Who
Energy consulting firms, utilities-focused law practices, or commodity risk advisors with experience in regulated utility markets.
First move
Map the top 50 largest power consumers in Virginia, North Carolina, and South Carolina by facility size. That is your prospect list. Reach out to the top ten this week with a one-paragraph note explaining what the regulatory clock means for their next contract renewal.

Signal anthropic, enterprise ai

ServiceBuilding

A buying-committee content system for B2B sellers: one brief, eleven formats, one decision cycle

A content production service or internal playbook that takes a single core message and systematically produces the formats each buying committee member needs: a technical brief for IT, a cost summary for finance, a risk summary for legal, a strategic case for the C-suite. Sold as a productized service with a defined turnaround.

Why now
Average buying committee size has grown to 11.2 members. That means more people reviewing content, more chances to lose a deal to a stakeholder who never got the right format. Most B2B content teams produce one asset and hope it travels. The demand data shows this is a recognized problem with no clean solution yet.
Who
B2B content agencies, revenue operations consultancies, or in-house marketing teams at companies with long sales cycles.
First move
Pick one active deal in your pipeline with a large buying committee. Map every stakeholder and what they care about. Spend this week producing a tailored one-pager for each. Time it. That process, once timed and templated, is the product.

Signal b2b marketing

ServiceBuilding

A factory automation readiness assessment for mid-size U.S. manufacturers considering their first robotics investment

A structured two-week on-site assessment that maps a manufacturer's current production floor, identifies the three to five automation opportunities with the clearest payback period, and delivers a prioritized investment plan with vendor recommendations. Priced as a fixed-cost engagement, not a retainer.

Why now
80% of U.S. factories operate without automation, and M&A activity in industrial manufacturing is accelerating. Acquirers are buying manufacturing assets partly because they can apply capital and technology that current owners have not. Owners who want to stay independent, or sell at a higher multiple, need to move first.
Who
Industrial engineering consultancies, robotics integrators looking to expand beyond their existing client base, or former manufacturing operations leaders.
First move
Identify five mid-size manufacturers in your region with 50 to 500 employees and no robotics on their floor. Call the plant manager, not the CEO. Ask what the one task is that they would automate first if they knew it would work. That conversation is your sales call and your scoping session at the same time.

Signal industrial manufacturing, mega-deals

ServiceBuilding

A data center tenant advisory for commercial real estate operators entering the sector for the first time

A consulting practice or content series that helps commercial real estate developers and property managers understand the specific requirements of data center tenants: power density, cooling, redundancy, and lease structure. Packaged as an initial strategy session plus a market-entry roadmap.

Why now
Commercial real estate reading is back and concentrated on data centers and hospitality as the two growth sectors driving the market toward $703 billion by 2035. Most CRE operators understand hospitality. Very few understand what a hyperscale or edge data center tenant actually needs. That knowledge gap is a service gap.
Who
CRE advisory firms, architecture practices with technology sector experience, or MEP engineering firms that already work on power-dense facilities.
First move
Pull the three largest data center leases signed in your target market in the last 12 months. Read the public filings for power and cooling requirements. Write a one-page summary of what those tenants required that a standard commercial building cannot provide. That is the gap you are selling to close.

Signal commercial real estate, data centers

ProductEmerging

A pharma and biotech cold-chain compliance toolkit for regional logistics operators

A software-plus-training package that helps regional freight and logistics operators meet the temperature monitoring, documentation, and chain-of-custody requirements for pharmaceutical and biotech shipments, without building a full specialty division. Sold as an annual subscription with quarterly compliance reviews.

Why now
UPS just committed $48 million to 27 temperature-controlled cross-dock facilities. That signals that the market is large enough for a major operator to build dedicated infrastructure. But it also means regional operators without that capital need a way to compete on compliance and documentation rather than physical infrastructure.
Who
Regional 3PL operators, cold-chain technology vendors, or compliance consultancies with life sciences experience.
First move
Contact three regional freight operators this week and ask how they currently handle pharmaceutical shipments. If the answer is ad hoc, you have found your customer. If they say they turn the business away, you have found your market size.

Signal industrial manufacturing

For leaders

The calls, and the reasoning behind them

Each one shows its work: what we're seeing, why, what it means, and what to do.

01

AI adoption numbers are nearly meaningless without outcome data underneath them.

Why

Multiple reads this week show adoption above 90% in some sectors while fewer than four in ten adopters report actual performance gains. The MIT finding that only 11% of S&P 500 firms have deeply integrated AI is consistent: headline adoption and real integration are very different things.

So what

If your AI investments are being reported as adoption percentages rather than outcome changes, you are measuring the wrong thing. The organizations pulling ahead are the ones that can show what changed, not just what was deployed.

Do this

This week, ask every team that has deployed an AI tool to name one measurable outcome that improved after deployment. If they cannot, that tool is not yet an asset. Decide whether to instrument it properly or cut it.

02

Being invisible in AI-generated answers is a distribution problem with revenue consequences, and most B2B companies have not responded yet.

Why

An article pulling strong attention this week finds that 87% of B2B brands do not appear in AI search results even when they rank on page one of traditional search. Early-stage buyers increasingly start research with AI tools, not search engines. Brands absent from those answers are being filtered out before a human ever reaches out.

So what

Your organic search ranking may be protecting less revenue than it was 18 months ago. The buyers you are not seeing in your pipeline may not be converting elsewhere. They may be getting answers that do not include you.

Do this

Run a quick test this week: enter your top five buying-intent queries into ChatGPT, Perplexity, and Google's AI Overview. Note whether your company appears in the answers. If it does not, bring that data to your next marketing conversation as the starting point for a GEO strategy.

03

The NextEra-Dominion regulatory window is a procurement opportunity for large power buyers, not just a news story to watch.

Why

The 180-day FERC review is live, and Senator King's opposition adds genuine uncertainty about the outcome. Utilities in the affected states have an incentive to lock in favorable commercial relationships before the regulatory picture is clear. That window is finite.

So what

Large facilities operators, data center developers, and manufacturers in Virginia, North Carolina, and South Carolina are sitting on a negotiating opportunity that will close when the regulatory decision comes down. Waiting for the outcome means waiting too long.

Do this

If you have significant power exposure in the affected states, schedule a conversation this week with your energy procurement advisor or broker about what a merger, a blocked merger, or a modified approval would each mean for your next contract renewal.

04

Buying committees have grown large enough to break most B2B content strategies.

Why

CMI data circulating widely this week puts the average B2B buying committee at 11.2 members. Most content teams produce one or two assets per campaign. The math does not work: one asset, eleven stakeholders, each with different concerns and different objections.

So what

If your sales cycle is longer than it should be, one cause may be that your content is not reaching the right stakeholder in the right format. A technical buyer and a CFO reading the same white paper will each find it unhelpful for different reasons.

Do this

Take one active deal with a buying committee of six or more. This week, map every stakeholder by role and primary concern. Check whether you have a content asset tailored to each. The gaps you find are your content priorities for next quarter.

05

Industrial manufacturing M&A is consolidating fast enough that mid-size operators need a position, not just a plan.

Why

Mega-deals now represent 56% of industrial manufacturing deal value, and total sector M&A hit $173 billion in a period when AI infrastructure and grid modernization are pulling strategic buyers toward physical assets. The consolidation is not slowing.

So what

Mid-size manufacturers face a narrowing window to decide whether they want to be acquirers, be acquired, or build the kind of automation and capability profile that commands a premium. Waiting for the market to settle is a choice, and not a neutral one.

Do this

If you run or advise a mid-size manufacturer, schedule a candid conversation this week about which of three positions you are actually in: building to sell, building to buy, or building to stay independent. Each requires a different capital and automation strategy starting now.

On the horizon

What to watch next

Themes with early, accelerating attention. Worth tracking before they peak.

Claude Opus 5 and the 'effort dial' model for AI pricing

Anthropic's new pricing model, which lets enterprise teams dial compute up or down to manage costs, is newly published and just entering reading. If it catches, it signals a shift in how AI vendors structure enterprise pricing, and every buyer and competitor will need a response.

Horizon · next two weeks

AI compute constraints and model release delays

Google's Gemini 3.5 Pro is slipping behind schedule due to compute scarcity. If this becomes a pattern across major vendors, it will affect enterprise product timelines, vendor selection, and the AI infrastructure investment story that is already a top read.

Horizon · next quarter

SpaceX and the Pentagon AI infrastructure deal

SpaceX is in talks to supply billions in AI computing capacity to the Department of Defense. If the deal closes, it reshapes the AI infrastructure supply picture for enterprise buyers and raises new questions about concentration and security that will pull broad reading.

Horizon · next quarter

Quantum computing's commercial deployment phase

QCi just split its commercial and product leadership as quantum enters real-world deployment. This is early, but it is the kind of organizational signal that precedes a wave of reading as buyers and competitors try to understand what real deployment means.

Horizon · next six months

Healthcare AI investment and CMS regulatory pressure

Healthcare is one of the three rising industries this week, $335 million in AI health funding landed in a single month, and CMS has created a dedicated health technology office. The combination of capital and regulatory structure is a reliable precursor to sustained reading.

Horizon · next quarter

Sciences industry reading surge

Sciences jumped 356% week over week from a low base. A surge that sharp, even from a small starting point, sometimes signals a specific story breaking through. Worth watching to see whether it holds or was a one-week spike tied to a single publication.

Horizon · next two weeks

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