Key Insights
What 240 data points across 15 industries reveal about where the opportunity windows are open right now.
What We Found
I built the Hyder Index to answer a question I have been asking for 17 years: are companies actually responding to the signals around them, or are they just talking about it?
After scoring 15 industries across 11 indicators each, the answer is clear. No industry scored in the Green Zone. Not one.
That sounds like bad news. It is not. It means every industry has leverage, capital flows, talent shifts, customer movements, cultural changes, and emerging disruptions that are available to the companies willing to act on them. A high score does not mean your industry is doomed. It means the opportunity window is wide and most of your competitors have not walked through it yet.
How to Read the Six Tailwinds
Every Hyder Index score is built on six tailwinds. These are not threat indicators. They are the architecture of opportunity in each industry.
Customers
Tells you where demand is going before most companies have built for it. When customers shift faster than companies adapt, the gap widens. But it also means the company that meets them there has the market to itself.
Talent
Tells you where skills and people are flowing. New role creation, skills demand, hiring patterns. Talent moves toward opportunity. Follow the talent signal and you find where the growth is.
Leverage
Tells you where someone with power needs what you have and is willing to reward you for providing it. This is not just another open door. It is someone on the other side pulling you through.
When LinkedIn launched newsletters, they needed content to make the format work. Writers who showed up first got outsized distribution because the platform was structured to push them. When YouTube launched Shorts, creators who moved early got algorithmic preference because the platform needed the format populated. When the FDA fast-tracks AI diagnostic approvals, health AI companies get a shorter path to market because the regulator wants more of what they are building. When IRA tax credits pay companies to build clean energy, the government is structuring incentives so you get rewarded for doing what you were already trying to do.
Leverage measures where platforms, regulators, governments, or markets have structured the game so you benefit.
Money
Tells you where capital has already moved, often before the companies in that industry have caught up. Venture funding, M&A activity, R&D shifts. When $97 billion flows into AI or $1.8 trillion flows into clean energy, that is not a prediction. That is a fact about where the market is going.
Culture
Tells you two things. First, the macro shifts: where public behavior and expectations have already moved at a societal level. Remote work was not a trend. It was a permanent restructuring of how people relate to offices, commutes, and employers. AI adoption crossing 72% is not a trend. It is a new baseline. These macro shifts reshape entire industries and do not reverse.
Second, the cultural moments: the memes, the viral stories, the news cycles that create short windows of outsized visibility. Stanley's fire-surviving tumbler video. A trending conversation about women in male-dominated industries. These moments are brief, but the companies that ride them capture attention at a fraction of the normal cost.
Both layers matter. The macro shifts tell you where the ground has moved. The moments tell you when the spotlight is on.
Disruptions
Tells you where new entrants, technologies, or structural changes are creating entirely new categories. Disruptions are where the biggest gains live because they create space that did not exist before.
The industries with the highest Change Scores are not the ones in the most trouble. They are the ones with the most raw material for growth. The score measures whether companies are converting that raw material into action.
The Three Industries With the Most Raw Material
Change Score of 92. Four of the six tailwinds at maximum intensity. $97 billion in AI VC funding in 2025. A 340% increase in AI Engineer job postings on LinkedIn. 72% of Americans using AI tools. Cultural permission at its highest level ever. Strong leverage from CHIPS Act and AI infrastructure investment.
The Response Score of 30 tells you most companies are not converting those signals into proportional action. Only 12% of AI partnerships show measurable product outcomes within six months. That is where the opportunity is: not in having access to AI (everyone does), but in being among the small percentage of companies that are actually deploying it into workflows and measuring the output.
Creator economy employment is growing while legacy media employment is shrinking (17,000+ media jobs cut in 2025, up 18% from 2024 per Challenger, Gray & Christmas). AI licensing deals are creating new revenue streams. Streaming consolidation is reshaping distribution. Audience behavior has fundamentally shifted to short-form, creator-led, and platform-native content. Google search traffic to publishers is down 33% globally year over year (Chartbeat/Reuters Institute).
The companies reading those signals as a map rather than a eulogy are the ones pulling ahead. Axios expanded to 41 local markets. NYT built AI headline tools and pivoted to video. These are not defensive moves. They are companies following the signals to where the audience went. The gap between leaders and laggards in media is wider than in any other industry we measure. That gap is the opportunity.
Digital health VC funding at $18.2 billion in 2025 (Rock Health). FDA clearance for AI diagnostic platforms accelerating. 61% of Americans open to AI-assisted diagnosis (Pew Research, November 2025). Amazon, Apple, and Google all expanding their healthcare footprint.
The Response Score is low because most hospital systems are posting AI leadership roles but not filling them (12 of the top 20 systems posted, only 4 filled per our review), announcing partnerships but not deploying them, and allocating 8% of IT budgets to AI when the signals demand more (CHIME survey). The systems that fill the leadership roles, put them in clinical operations rather than IT, and deploy rather than pilot will have a structural advantage that compounds over time.
Why Education and Energy Tell Different Stories at Different Scores
Education scored 74. Energy scored 72. Close on the index, but the opportunity architecture is completely different.
Education's signals: 78% of students expect AI tools integrated into coursework (Educause 2025). Only 12% of new faculty postings mention AI literacy. AI tutoring platforms demonstrating measurable learning outcomes. The Culture tailwind is the strongest in the set. The Leverage score is the weakest because there is no coordinated federal framework, which means the institutions that build their own AI curriculum strategy are operating with less competition than they would in a well-funded policy environment. EdTech VC funding at $8.1 billion in 2025 (HolonIQ). The Response Score of 15 is the lowest of any industry we measure, which means the gap between student expectations and institutional response is enormous. Less competition, more open space.
Energy's signals: Clean energy investment surpassed fossil fuels globally for the first time at $1.8 trillion vs. $1.0 trillion in 2025 (BloombergNEF). IRA clean energy tax credits driving $370B+ in private investment. DOE loan programs accelerating grid modernization. Data center power consumption projected to triple by 2028 (IEA). The Money and Leverage tailwinds are the strongest in the set. The capital and policy architecture is as strong as it has ever been. The constraint is organizational: most utilities are allocating 25% of capex to clean energy when the signals support 40%+ (capital reallocation analysis). The opportunity is in closing that allocation gap, not in waiting for more signals.
The Legal Paradox
Legal and Professional Services scored 75 with the most unusual signal architecture in the entire index. The Leverage score is the highest of any industry. EU AI Act classifying legal as high-risk with an August 2026 deadline and penalties up to 35 million euros or 7% of global revenue. Colorado AI Act effective June 2026. Illinois AI in Employment Law effective January 2026. 741 AI-related bills across 30 states as of January 2026 (NCSL database). Regulatory pressure is enormous, and in this case, it is leverage because it is creating demand for AI compliance expertise, AI-related litigation, and AI-enabled legal services.
The Disruptions tailwind is also strong. AI contract review reducing cycle times by 40% (Gartner). 22% of a lawyer's job automatable today, 44% of legal tasks technically automatable (McKinsey). AI hallucination cases accelerating to 4 to 5 new documented cases per day by end of 2025, creating an entirely new practice area.
The paradox is that the business model resists the very efficiency the signals are creating. Law firms bill by the hour. AI makes lawyers faster. Faster lawyers bill fewer hours. And clients are building in-house capability at more than double the rate. In-house legal AI adoption went from 23% to 52% in one year (ACC survey), while firm adoption lags behind.
The opportunity: the firms that shift from billing hours to billing outcomes, from selling time to selling results, will capture the market that is currently walking out the door. The regulatory leverage is creating the demand. The firms that restructure their model to meet it will own the next era of legal services.
The Franchise Coordination Problem
Direct Sales and Franchising scored 67 with a unique structural constraint. The signals are moderate (Change Score 58), but the Response Score of 25 is low because the industry has a coordination challenge no other sector faces. You cannot transform a network of thousands of independent operators the way you transform a centralized company. The franchisor sees the signals. But the signal has to travel through layers of independent ownership before it becomes action.
The opportunity architecture here is about systems, not speed. The franchise systems that build AI tools into the unit-level experience, that make adoption easy rather than just available, will pull ahead. 19.3% of franchisees now operate multiple units (IFA 2026). Private equity is accelerating at both platform and franchisee levels. Franchise output projected to exceed $920 billion in 2026 (IFA/FRANdata). The systems that solve the coordination problem will compound their advantage as multi-unit operators expand and as PE money flows toward the platforms that have figured it out.
Insurance, Retail, and the Product Gap
Insurance (67) and Retail (62) share a pattern: strong customer signals, moderate capital signals, and a response that is focused on making the old model efficient rather than building the new one.
In Insurance, the Customer tailwind is moderate. 58% of policyholders want AI-first claims (J.D. Power 2025). AI underwriting can price risk 10x faster than traditional methods. But most insurer AI spending goes to back-office automation. The product the customer wants does not exist yet at most carriers. That is not a technology problem. It is an aim problem. The first insurer to build a fully AI-native customer experience will reset expectations for the industry.
In Retail, the Culture and Disruptions tailwinds are the strongest in the set. Social commerce projected at $80 billion by 2026 (eMarketer). AI-native brands launching at 10x speed. TikTok Shop reshaping discovery. The top 10% of retailers (Walmart, Amazon) are executing. The other 90% are in awareness mode. The opportunity is in building for social commerce and AI personalization now, before those channels are locked up by the leaders.
Hospitality: The Proof That the Gap Can Close
Hospitality and Travel scored 49, the only Yellow Zone industry and the closest to equilibrium in the entire index. The signal architecture is moderate across the board. No tailwind at maximum intensity. But the Response Score of 45 is the highest of any industry, and critically, the Response Timing is the fastest at 3 to 5 months.
That speed did not come from strategy. It came from COVID forcing a complete operational rebuild. Airlines restructured pricing. Hotels deployed contactless everything. The entire industry developed organizational muscle for rapid change out of necessity. Three years later, that muscle is still working.
Hospitality proves that the gap between change and response can be closed, and that the muscle to close it persists long after the crisis that built it. Every other industry can build that muscle proactively. The Hyder Index is measuring which ones have it and which ones need it.
The Pattern Across All 15 Industries
After scoring 240 individual data points:
The six tailwinds are not threats. They are raw material. Every industry with a high Change Score has capital flowing, talent moving, customers shifting, leverage available, culture ready, and new categories forming. Those are the ingredients of growth for the companies that use them.
The awareness-to-action ratio is where the gap lives. 2:1 to 3:1 across every industry. Companies talking about change at double to triple the rate they are acting on it. That ratio tells you exactly where inside your organization the gap is hiding.
Response Timing is the weakest indicator almost everywhere. 6 to 18 months from signal to action across most industries. The signals are available the day they appear. The companies that compress that lag are the ones that close the gap.
No industry scored Green. That means every industry has a wide-open window. The companies that see the six tailwinds as an opportunity architecture, not a threat report, will be the ones that walk through it.