Skip to content
MarketScale

MarketScale Intelligence · The Signal

Updated dailyLast updated July 23, 2026← Latest edition

Energy holds its lead as AI deployment rewrites the cost conversation

The NextEra-Dominion merger continues to dominate energy reading, while a new and specific anxiety about AI spending is pulling attention across software, marketing, and enterprise operations.

The 3-minute brief

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

≈3 minUpdated Jul 23, 2026
0:003:00
5
trends today
5
industries rising
+28%
reading vs last week
8
ideas on the board

Reading trajectory · this week

The state of demand

Energy and Software and Technology are the two heaviest-read industries this week, with Energy jumping sharply and Software climbing even faster. The NextEra-Dominion merger has now led energy attention for more than a week, and today the story is sharper: regulatory opposition has arrived, and large power buyers are reading it as a procurement problem. On the AI side, the dominant read has shifted from deployment excitement to cost and implementation failure. Two separate themes, enterprise AI budget overruns and the rise of embedded AI implementation models, are pulling the most sustained software attention. B2B marketing reads are steady, focused on a specific and uncomfortable finding: almost everyone uses AI, and almost nobody is happy with the results. Sciences and Retail jumped notably this week, adding cross-industry breadth to what has otherwise been a concentrated signal.

Today, in brief

  • The NextEra-Dominion merger is the single highest-momentum theme in the data, now drawing active regulatory opposition, and energy professionals are reading every development as it lands.
  • Enterprise AI cost failure is the dominant software read this week: budget overruns and low ROI are pulling more sustained attention than any new model announcement or funding round.
  • The embedded AI model, where engineers live inside enterprise clients, has become its own category, with two large players now in the market and readers treating it as a structural shift, not a service offering.
  • B2B marketing AI adoption is near-universal, but the performance signal is poor, and that gap is what professionals are actually reading about.
  • Sciences and Retail surged into the data this week, suggesting the AI and market-growth stories are reaching industries that have been quieter through most of the month.

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 proposed $67 billion merger between NextEra and Dominion has triggered a 180-day regulatory clock, and professionals across energy and adjacent industries are following every step. The deal, which would create the world's largest regulated utility and affect customers across Virginia, North Carolina, and South Carolina, is now facing its first serious opposition: Senator King has formally asked FERC to block it. Readers are not treating this as a spectator story. The interest is concentrated among large power buyers, procurement teams, and anyone with exposure to grid pricing in the affected states. Earlier editions of this briefing noted that the story was getting more specific; that holds. Today the specific question is what FERC does with the objection, and how that shapes the regulatory timeline. Zooming out, the merger is arriving at the same moment that M&A in the power and utilities sector hit a 173% year-over-year increase, a surge directly tied to AI data center load growth. The two stories are connected: the same demand that is driving AI infrastructure investment is also reshaping who owns and controls generation capacity.

    Why it's moving The nextera and dominion theme is the highest-momentum topic in the data this week, pulling sustained reads across multiple energy articles and drawing attention from Industrial IoT and Business Services readers as well.

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

A power procurement advisory for large buyers during the NextEra-Dominion regulatory window

A dedicated advisory service that tracks the 180-day FERC review, maps rate and contract exposure for buyers in Virginia, North Carolina, and South Carolina, and gives procurement teams a clear picture of what each regulatory outcome means for their energy costs.

Why now
The merger filing has started a clock, regulatory opposition has arrived, and large power buyers are reading every development. The window is defined and finite: 180 days of high uncertainty that requires active monitoring, not periodic check-ins.
Who
Energy brokers, commercial real estate operators, industrial manufacturers, and data center developers with significant load in the four affected states.
First move
Map the client base against the four-state footprint this week and draft a one-page scenario analysis covering three FERC outcomes: approved, modified, and blocked.

Signal nextera and dominion themes are the highest-momentum topics in the data, sustained for more than a week, with multiple articles covering the regulatory process.

ServiceStrong

An AI budget diagnostic for enterprise teams that deployed fast and are now over budget

A structured engagement, short and fixed-price, that audits how an enterprise AI deployment is spending money, identifies where response refinement and orchestration costs are running high, and delivers a prioritized list of cuts and fixes within four weeks.

Why now
McKinsey data now in active circulation shows 93% of enterprise AI teams are over budget, with 60% of spend going to response refinement. CFOs are asking hard questions and CIOs need answers fast. The market for a fast, credible diagnostic is open right now.
Who
Management consulting boutiques with AI practice areas, and systems integrators that already have relationships with enterprise IT and finance teams.
First move
Build a one-page diagnostic framework this week using the McKinsey and MIT data as the framing, and pitch it to three existing clients as a four-week engagement.

Signal enterprise ai and ai integration themes pulling high momentum in Software And Technology, reinforced by specific cost data in multiple widely-read articles.

ServiceBuilding

A GEO audit and monitoring retainer for B2B marketing teams

A monthly service that measures a B2B company's visibility in AI-generated answers across the major tools buyers use (ChatGPT, Perplexity, Gemini), benchmarks it against competitors, and delivers a short list of content actions to improve it each month.

Why now
Seventy-two percent of B2B buyers now vet vendors on AI tools before human contact. GEO has matured into a real software category. Most B2B marketing teams have no measurement in place and no one internally responsible for it.
Who
B2B-focused digital agencies, SEO consultancies looking to extend their offering, and marketing technology vendors with existing content analytics products.
First move
Run a free visibility audit for five current clients this week using available GEO tools, document the gaps, and use the output as the basis for a monthly retainer pitch.

Signal ai tools and b2b marketing themes both rising, with ai answer visibility a named rising topic and multiple articles on GEO and AI search drawing active reads.

ServiceBuilding

A retrofit robotics subscription for the 80% of U.S. factories without automation

A service that installs vision-based quality checks and collaborative robots on existing production lines, sold as a monthly subscription with no large upfront cost, sized for factories with 50 to 500 workers that cannot afford a full automation overhaul.

Why now
Physical AI and cobot technology have matured to the point where installation timelines are short. Eighty percent of U.S. factories still operate without automation, and the robotics reading this week shows strong and sustained interest in practical factory-floor applications, not research-stage technology.
Who
Regional systems integrators, robotics distributors with field service teams, and manufacturers that want a recurring revenue model rather than project-based work.
First move
Identify three local manufacturers this week that have expressed interest in automation but balked at capital costs, and propose a pilot installation with a 90-day monthly rate trial.

Signal robotics in manufacturing and physical AI topics pulling steady Industrial IoT reads, with automation gap explicitly named as the headline in widely-read articles.

ServiceBuilding

A forward-deployed AI implementation team for mid-market companies under $500M in revenue

A small team of three to five engineers and one business analyst that embeds inside a mid-market company for 90 days, gets a specific AI use case actually working end-to-end, and hands it off with documentation and internal training.

Why now
Anthropic and Microsoft have both just validated this model at the enterprise end of the market. The mid-market has the same implementation gap but no access to Ode or Frontier Company. The demand signal is clear, and the gap in the market is specific.
Who
Boutique technology consultancies, former Big Tech engineers with domain expertise, and regional IT service firms looking to move up the value chain.
First move
Define a 90-day scope for one vertical (manufacturing, healthcare, or logistics) this week, price it at a flat monthly rate, and approach two existing clients with the proposal.

Signal anthropic and blackstone and enterprise ai themes pulling high momentum, with newly published pieces on Ode drawing immediate fresh reads.

ProductBuilding

A buying committee content system for B2B companies with long sales cycles

A content production system, either a tool or a managed service, that automatically creates role-specific content for each member of a buying committee (finance, IT, operations, legal) from a single source brief, so sales teams stop losing deals because one stakeholder was never addressed.

Why now
Buying committees have grown to an average of 11.2 members. Nearly all B2B marketers use AI but fewer than 40% say it is working. The gap is not tool adoption; it is output that actually maps to who makes the decision.
Who
B2B content marketing agencies, marketing operations consultancies, and SaaS companies with existing content workflow products.
First move
Draft a committee mapping template this week that identifies the six most common buying committee roles in one target vertical, and build a sample content brief structure around it.

Signal buying committees named as a rising topic, b2b marketing and ai tools themes both active, with multiple articles citing committee size growth as a core performance problem.

ServiceEmerging

An AI visibility content audit for B2B companies that rank well in search but appear nowhere in AI answers

A one-time audit that compares a company's organic search presence to its presence in AI-generated answers for its key buying queries, identifies the structural gaps in its content (missing formats, missing authorities, missing topics), and delivers a 90-day content plan to close them.

Why now
The data showing large B2B companies are absent from AI answers despite strong SEO rankings landed this week and is pulling active reads. It is a fresh, specific, and alarming finding for any B2B marketing leader who assumed their existing content program had them covered.
Who
SEO agencies, content marketing consultancies, and B2B demand generation teams that already have a content function and need a reason to retool it.
First move
Run the audit on your own company or a willing client this week, document the gap between search ranking and AI answer presence, and use it as a live case study for outreach.

Signal b2b enterprises missing from ai answers is an active read this week, aligned with the ai tools rising theme and the newly published SEO and GEO content drawing fresh attention.

ProductEmerging

A data center energy exposure tracker for commercial real estate operators and developers

A software dashboard that tracks energy procurement risk, grid capacity, and regulatory developments for data center-heavy real estate portfolios, updated as utility mergers, interconnection queues, and rate cases move through review.

Why now
Commercial real estate reading is back and focused on data centers as the primary growth driver toward a $703 billion market by 2035. The NextEra-Dominion merger is the clearest example of why energy risk is now a core real estate risk, and operators have no dedicated tool for tracking it.
Who
Commercial real estate developers, REITs with data center exposure, and property managers running facilities with significant power draws.
First move
Map the five largest data center real estate markets against current utility merger and rate case activity this week, and use that map as the product seed and the sales pitch.

Signal data centers and commercial real estate themes both active and cross-industry, with market growth and nextera demand reinforcing the connection between energy risk and real estate planning.

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

The NextEra-Dominion regulatory timeline is now a procurement risk, not just a news story.

Why

FERC opposition has arrived formally. The 180-day clock is running. Rate and contract terms in four states are uncertain until it resolves. Large power buyers in those states have no clarity on their future procurement options.

So what

Any business with significant energy load in Virginia, North Carolina, South Carolina, or Florida should have a named person tracking FERC filings and scenario-planning three outcomes: approved, modified, and blocked.

Do this

Assign an owner this week to monitor the FERC docket, and schedule a 30-minute scenario briefing with your CFO before the end of the month.

02

AI budget overruns are a finance problem now, not just an IT problem, and CFOs are going to start asking about them.

Why

McKinsey data showing 93% of enterprise AI teams over budget is in active circulation. The MIT finding that only 11% of S&P 500 firms have deep AI integration adds to it. CFOs are connecting these numbers.

So what

If your AI investment has not produced a clear, defensible ROI number, you will be asked for one soon. Leaders who can show where the money went and what it returned are in a much stronger position than those who cannot.

Do this

Pull your AI spend data for the past 12 months this week. Sort it by use case. Identify the two or three with the clearest output metrics, and prepare a one-page summary before your next board or exec review.

03

B2B buyers are vetting vendors on AI tools before any human contact. If you are not in those answers, you may not make the consideration set.

Why

Data showing 72% of B2B buyers now use ChatGPT or similar tools to evaluate vendors is being read widely. A separate analysis found that large B2B companies are absent from AI-generated answers despite strong organic search rankings.

So what

Your SEO ranking no longer tells you whether buyers can find you. A company can rank on page one of Google and be invisible to a buyer using AI to build a shortlist.

Do this

This week, search for your company and your top three competitors in ChatGPT and Perplexity using the queries your buyers would use. Document what comes back and share it with your marketing lead.

04

The embedded AI implementation model is becoming a standard offering, not a premium differentiator.

Why

Both Microsoft and Anthropic now have multi-billion-dollar programs that put engineers inside enterprise clients. When two players of that size define a model, the market tends to follow. Mid-market companies will expect some version of this from their technology partners within 12 to 18 months.

So what

Technology service firms that cannot offer some version of embedded implementation will lose competitive ground. And enterprises evaluating AI vendors should now ask: will you send someone to help us actually use this, or are you handing us documentation?

Do this

If you sell AI-related services, draft a simple embedded engagement model this week, even a 30-day pilot scope, and test the pitch with one current client before the end of the month.

05

The robotics adoption gap in manufacturing is large enough to be a business opportunity, not just a statistic.

Why

With 80% of U.S. factories still operating without automation, and physical AI and cobot technology now mature enough for short installation timelines, the constraint is no longer technology readiness. It is access and capital structure.

So what

The companies that figure out how to offer automation without a large upfront cost, through subscriptions, pilots, or outcome-based pricing, are addressing a real and very large market. The technology is ready; the commercial model is the missing piece.

Do this

If you are in industrial technology, identify one manufacturer in your network this week that has expressed interest in automation but balked at the cost, and propose a 90-day pilot with a monthly rate.

On the horizon

What to watch next

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

FERC ruling on NextEra-Dominion merger

Senator King's formal objection is the first significant regulatory friction in the process. How FERC responds will determine the shape of the 180-day review and whether other opposition follows. This is the signal that will unlock or close the procurement uncertainty for large power buyers.

Horizon · Next four to six weeks

Enterprise AI ROI reporting under CFO pressure

The budget overrun data is now public and widely read. The next move is how enterprise leadership teams respond, whether with audits, project cuts, or revised investment theses. That response will show up in earnings calls and strategy announcements within a quarter.

Horizon · Next quarter

GEO platform consolidation

At least eight GEO platforms now exist. That is a fragmented market at an early stage. Consolidation or a clear leader emerging would be the signal that the category has matured enough for enterprise procurement teams to standardize on a tool.

Horizon · Next two quarters

Mid-market demand for embedded AI implementation

Anthropic and Microsoft have defined the model at the enterprise end. The mid-market has the same gap and no equivalent offering. Watch for boutique consultancies and regional integrators to move into this space explicitly, or for Ode and Frontier to announce smaller-scale programs.

Horizon · Next quarter

Robotics subscription and outcome-based pricing models

The automation gap in manufacturing is established. The constraint is commercial structure, not technology. The first credible subscription or outcome-based robotics offer that scales will move fast through a market that is ready for it but has not had the right entry point.

Horizon · Next two quarters

AI inference chip supply and enterprise pricing

Etched is targeting a $20 billion valuation with inference chip demand already at $1 billion. If government contracts with SpaceX consume significant compute capacity, enterprise buyers could face pricing pressure or availability constraints. This is worth watching as the Pentagon negotiations develop.

Horizon · Next quarter

Put the signal to work

Your market is telling you what it wants to read. We help you produce it.

MarketScale turns your experts and the work your team already does into the content the market is leaning into, from capture through publish.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512