The number that opens this month's salary transparency series is $43,000. Two previous Friday reports quantified it from the candidate's perspective: as the average negotiation uplift an AI engineer captures when a salary band appears in the posting, and as one coordinate in the within-band gender equity gap that band posting reveals but does not close. This report measures the same $43,000 from the employer's perspective, at the market level, and the finding is structurally different.
The ENTRA Q2 2026 Job Signal Index classified 47,200 active AI postings across 31 countries between April 1 and June 30, 2026. When postings are matched by role title, seniority level, and metropolitan area and then sorted by whether the posting employer disclosed a salary band, a consistent gap appears: the median band midpoint at transparent employers is $43,000 higher than the market-implied compensation midpoint at non-transparent employers in the same matched cohort. This is not a measure of what candidates capture. It is a measure of what the market looks like when half of it operates with public pricing and half operates without it. The $43,000 gap is the monetary value of the information asymmetry itself, denominated at the midpoint of the market.
Four regulatory frameworks are now converging to close that gap. California SB 1162, the EU Pay Transparency Directive, the UK Employment Rights Act 2025, and the ADGM/DIFC free-zone band posting obligations in the Gulf each approach disclosure from a different policy tradition, at a different employer-size threshold, on a different enforcement timeline. By Q4 2027, when all four are in active enforcement, ENTRA estimates that 73 percent of the global AI job market by posting volume will operate under mandatory disclosure obligations. The question worth answering in August 2026 is not whether disclosure will become universal. It is what happens to the information architecture of the AI labor market when it does.
1. The $43K Gap
The gap does not exist because transparent employers are paying more. It exists because non-transparent employers are pricing into a market where no one else can see the floor. The mechanism is structural, not behavioral.
In the matched ENTRA Job Signal Index cohort, transparent employers posting a Senior ML Engineer role in the San Francisco Bay Area show a median band midpoint of $298,000 total compensation. Non-transparent employers listing a nominally identical Senior ML Engineer role in the same metro, in the same quarter, show a market-implied midpoint of $255,000, computed from offer data collected in the ENTRA Q2 2026 Salary Survey for non-disclosed hiring processes. The $43,000 gap holds within a confidence interval of plus or minus $8,000 across the matched role categories (Senior ML Engineer, Research Scientist, Applied Scientist, and ML Infrastructure Engineer). It narrows to $31,000 for Applied Scientist roles, where the non-frontier-lab employer universe is larger and more diverse in its pricing behavior, and widens to $52,000 for Research Scientist roles at frontier-lab tier employers, where the information premium is highest.
The Levels.fyi Q2 2026 data provide the market's outer coordinates. Median disclosed total compensation in AI sits at $340,000 at frontier labs, $185,000 at Big Tech enterprise AI teams, and $120,000 at non-tech enterprise AI deployments. The $43,000 midpoint gap in the ENTRA Job Signal Index operates primarily in the $185,000 to $298,000 band that separates Big Tech enterprise from frontier lab compensation. That is the zone where non-disclosure is most economically useful to an employer: high enough to attract candidates from the enterprise tier, low enough to avoid bidding competition with frontier labs, and opaque enough that candidates entering the process without a visible anchor cannot locate the gap.
The BLS JOLTS June 2026 data frame the market tightness that makes the gap consequential. AI-adjacent tech job openings stood at 847,000 in June 2026, a 14-year high, with average time-to-fill at 58 days across the sector. In a market this tight, employers who capture the $43,000 per-hire advantage through non-disclosure are simultaneously bearing the cost of longer fill cycles. ENTRA's Q2 2026 audit established that transparent employers filled equivalent senior AI roles 22 percent faster than non-transparent employers. Across 50 senior roles at $340,000 median all-in replacement cost, that 22 percent time-to-fill reduction saves approximately $3.7 million annually in recruiter hours, manager drag, and productivity gap. The non-disclosure advantage does not survive a rigorous accounting of what slow hiring costs at the senior level.
The $43,000 gap is closing from the regulatory side. But the speed of closure, and the coverage it achieves, depends entirely on which of four frameworks applies to a given employer, and whether more than one applies at the same time.
2. Four Frameworks, One Market
The regulatory landscape for AI compensation disclosure in 2026 is not a single regime. It is four overlapping systems, each designed independently, each carrying different coverage thresholds, different disclosure mechanics, and different enforcement teeth. The convergence is a product of timing, not coordination.
| Framework | Jurisdiction | Employer Threshold | Core Obligation | Enforcement Date | Key Gap (August 2026) | |---|---|---|---|---|---| | California SB 1162 | California, US | 15 employees (posting); 100 employees (pay data reporting) | Salary range in every posting; annual pay data report to CRD | Posting: Jan 1, 2023; DFEH enforcement: July 2024 | 71% AI sector compliance per ENTRA Q2 2026 audit | | EU Pay Transparency Directive 2023/970/EU | EU member states | 100+ employees (reporting); all employers (posting obligation) | Band on first-interview job ads; joint pay gap reporting by June 2027 | Transposition deadline: June 7, 2026 (missed by 12 member states) | Article 258 infringement proceedings underway; Q1 2027 revised target | | UK Employment Rights Act 2025 | United Kingdom | 250+ employees | Pay gap action plans (not just reporting); equity-weighted compensation disclosure | Royal Assent: Dec 18, 2025; action plans due April 2027 | ACAS/EHRC guidance unsettled on equity-weighted total compensation | | ADGM/DIFC Regulations | Abu Dhabi Global Market; Dubai International Financial Centre | All employers in free-zone jurisdiction | Band posting for free-zone roles; compliance cascades to remote roles sourced from these entities | ADGM Employment Regulations 2015; DIFC Employment Law Amendment 2023 | Compliance cascade to remote hires is actively contested |
California SB 1162 is the most mature framework in the AI market. Effective January 1, 2023, with the California Department of Fair Employment and Housing beginning enforcement in July 2024, the law covers any employer with 15 or more employees who posts roles for California-based candidates -- regardless of where the employer is headquartered. The 15-employee threshold means the law reaches pre-Series A AI startups that are invisible to federal reporting requirements. ENTRA's Q2 2026 compliance audit of the California AI sector found 71 percent compliance across audited employers, a figure that includes a compliance gap concentrated in Series A and Series B companies. The 29 percent non-compliant cohort consists primarily of startups posting nationally but headquartered outside California, where the employer's legal counsel has not confirmed the extraterritorial application of the posting requirement. DFEH enforcement has begun filling that interpretation gap.
The EU Pay Transparency Directive is the framework with the largest immediate enforcement gap. Transposition was due June 7, 2026. As of August 2026, 12 of 27 member states have not completed transposition, including Greece, whose AI sector (Microsoft Athens, the Beat/FreeNow engineering cluster, and the growing Thessaloniki deep-tech cohort) sits in a legal grey zone: the Directive's obligations apply from the transposition deadline regardless of member state implementation, under direct effect doctrine, but enforcement machinery at the member state level is absent without a transposed national law. The European Commission opened Article 258 infringement proceedings against non-transposing member states in July 2026. For employers with EU operations, particularly those in the 12 non-transposing states, the practical question is not whether the Directive applies -- it does, from June 7, 2026 -- but whether they will face enforcement before the revised Q1 2027 transposition target. The calculation is not comfortable. Article 258 proceedings can move to the Court of Justice of the European Union within 18 months of the infringement notice, and the Directive's own text requires member states to establish penalties including a minimum 4 percent of annual turnover for systematic non-compliance.
The UK Employment Rights Act 2025 is the newest framework and the one with the most unsettled interpretation. Royal Assent came December 18, 2025. Pay gap action plans -- not merely reports, but documented plans for closing identified gaps, with named responsible officers -- are due from employers with 250 or more employees by April 2027. The critical interpretive question, which ACAS and the EHRC have not yet resolved in published guidance as of August 2026, is whether equity-weighted total compensation counts toward the pay gap calculation. For AI employers operating in the UK, where total comp at senior engineering and research levels includes significant equity refresh grants (a Research Scientist at Google DeepMind's London office carries total compensation that is 40 to 60 percent equity by value), the unresolved question about equity weighting determines whether disclosed figures are comparable across employer types. A frontier lab with high equity weighting and a consulting firm with all-cash compensation look similar on base salary. They are not.
The ADGM and DIFC frameworks operate on a different logic. The ADGM Employment Regulations 2015 and the DIFC Employment Law Amendment 2023 establish band posting requirements for roles within their respective free zones -- the financial and technology employer clusters in Abu Dhabi and Dubai that host G42, HUMAIN, Inception, Core42, and a cohort of global AI employer entities. The compliance cascade that makes these frameworks globally significant is the remote-sourcing provision: roles that are formally employed through an ADGM or DIFC entity but filled by remote workers in Amman, Cairo, or Nairobi -- the pattern documented in ENTRA's Amman regional briefing on G42 and HUMAIN's talent sourcing -- carry the posting obligation from the employing entity's registration, not from the worker's location. Gulf-based AI employers are creating transparency obligations in labor markets that have no domestic disclosure law, through the entity structure they choose for employment contracts.
3. The Multinational Squeeze
A multinational AI employer that operates in California, in EU member states, in the United Kingdom, and through a ADGM or DIFC entity simultaneously faces all four frameworks. The question is not whether to comply. It is what a globally compliant posting looks like in practice, and what it costs to maintain the operational infrastructure to produce one.
Microsoft is the clearest case study, because it is the multinational AI employer with the largest footprint across all four jurisdictions. Microsoft's AI engineering and research headcount spans the San Francisco Bay Area and Seattle (California + federal US), its Dublin and Amsterdam hubs (EU Directive, transposed jurisdictions), its Reading and London offices (UK ERA 2025), and its Azure AI infrastructure teams operating through Gulf entity structures that interface with ADGM and DIFC employers. A single job family -- say, Principal Applied Scientist at the Microsoft AI tier, which tracks internally to L66 through L67 equivalent on Microsoft's engineering ladder -- generates posting obligations in all four frameworks simultaneously when the role is open across geographies. Microsoft's compensation team must produce a California-compliant band (numeric floor and ceiling), an EU-compliant band (available at first interview, appropriate for the EU location's compensation norms), a UK-compliant disclosure posture (anticipating the April 2027 action plan filing), and a ADGM/DIFC-compliant band for any roles sourced through Gulf entities. These four bands are not the same band. Microsoft's Azure AI team in Dubai is not priced to San Francisco levels. The gap between geographies within the same employer, when all four frameworks require disclosure, becomes visible data.
Google DeepMind faces the same structure with higher public visibility. DeepMind's London headquarters plus the Paris and Amsterdam research hubs create three distinct EU-jurisdiction posting obligations (or two, if France and the Netherlands have transposed and the UK is now separate). The California connection runs through Alphabet's Mountain View HQ and DeepMind's San Francisco presence. An L6 Research Scientist at Google DeepMind in London -- total compensation in the range of $380,000 to $520,000 on ENTRA's Q2 2026 tracking, combining base, equity, and bonus -- must be disclosed in the UK posting under ERA 2025's trajectory, disclosed in EU postings under the Directive (for EU-located equivalents), and compared against the California band width for equivalent roles posted to California candidates. DeepMind's Q2 2026 posting audit showed improved disclosure rates on London and Paris roles relative to Q1 2026 baselines. The behavioral change preceded enforcement because the legal team read the arithmetic correctly.
Anthropic's situation is instructive because the company is smaller and growing faster. As of Q2 2026, Anthropic's primary headcount is California-based, making SB 1162 the immediate operational framework. Anthropic's London expansion (announced in 2025 and active through 2026) brings UK ERA 2025 obligations into scope. If Anthropic establishes a substantive EU research presence -- the company's safety research agenda creates a natural fit with EU-funded research programs -- the Directive's obligations follow. Anthropic is not yet a four-jurisdiction employer. But the trajectory of frontier-lab global expansion points in that direction within 18 to 24 months, and the compensation architecture decisions made now (band width, geographic differentials, equity weighting) determine the disclosure profile the company will be required to publish. An L6 Research Scientist at Anthropic today carries total compensation in the $480,000 to $740,000 range. What Anthropic discloses for that role in a London posting, if and when it opens one, will be the first data point that European AI research candidates have ever seen for frontier-lab safety research compensation. The information architecture shift is that specific.
Meta AI's global posting architecture, by contrast, has already navigated several of these transitions. Meta's FAIR (Fundamental AI Research) and GenAI teams post roles across California, New York, London, Paris, and Tel Aviv. The company's 2024 and 2025 posting audits showed compliance with California SB 1162 on all California-targeted roles. The EU Directive compliance posture for Paris-based FAIR roles improved through H1 2026 as France advanced transposition. The disclosure of compensation bands for Meta's senior research roles -- E7 Research Scientist at Meta FAIR in Paris carried a disclosed band of EUR 180,000 to EUR 240,000 base in Q2 2026 postings, which translates to approximately $196,000 to $261,000 at the Q2 2026 EUR/USD rate -- creates a documented comparison point against the equivalent US-based E7 band. That comparison is now a public record, not a piece of insider knowledge that flows only through recruiter networks and candidate referrals.
GitHub's AI engineering function provides a cleaner case study because the Copilot engineering team is effectively a frontier-lab-adjacent AI product team operating under Microsoft's corporate umbrella. GitHub's compliance posture inherits Microsoft's California SB 1162 compliance infrastructure, which means GitHub posts salary bands on all US roles. The intersection with ERA 2025 is emerging: GitHub's UK engineering headcount is growing as Copilot's European customer base scales. The ACAS/EHRC guidance uncertainty on equity-weighted compensation is specifically consequential for a team like GitHub's, where senior IC roles carry Microsoft stock grants that represent a significant fraction of total compensation. A band disclosed as GBP 95,000 to GBP 140,000 base, without disclosure of the equity grant range, is not the same information architecture as the full-compensation band. The UK ERA 2025's action plan requirement may force that question into resolution.
NVIDIA sits differently in this landscape. Its AI hiring is concentrated in three role categories: GPU architecture and systems engineering (hardware-adjacent, globally distributed), software and compiler engineering (CUDA ecosystem, primarily US-based), and AI researcher roles embedded in NVIDIA Research. The California SB 1162 obligation is the primary framework given NVIDIA's Santa Clara headquarters. But NVIDIA's expansion of AI research into EU locations (Cambridge, Zurich) and its commercial operations through Gulf distributor entities create at least partial exposure to all four frameworks. For an ML Systems Engineer at NVIDIA in the $320,000 to $480,000 total comp range, the disclosure of that band in California-compliant postings has already moved into practice.
4. What Changes When the Gap Closes
When all four frameworks are in active enforcement and 73 percent of global AI postings carry mandatory salary band disclosures, the information architecture of the AI labor market is structurally different from what it has been. The changes are not speculative. They are visible in the California market data from the 42 months since SB 1162 took effect, and they are directionally confirmed by the Q2 2026 Job Signal Index.
Negotiation dynamics shift from anchoring to positioning. The Aug 7 analysis documented that engineers who negotiate against a posted band capture $43,000 more in year-one total compensation. When bands are universally posted, that individual advantage becomes table stakes. The new negotiation dynamic is not whether to negotiate from an anchor, but where within the band a candidate positions themselves and on what basis. California practitioners who have spent three hiring cycles in a mandatory-disclosure environment now negotiate to the upper quartile of the band by default, using competing-offer data (from Levels.fyi, LinkedIn Salary, and peer networks) to argue placement rather than floor level. The sophistication of the negotiation moves up the band. This is not speculation. The ENTRA Q2 2026 Salary Survey captured it in the California-based respondent cohort: the average opening offer for a California-based senior AI candidate was at the 61st percentile of the disclosed band, versus the 44th percentile for matched non-California respondents negotiating without a posted band. Universal disclosure raises the floor of the negotiation conversation, not just the ceiling.
Offer cycles compress at transparent employers. The 58-day average time-to-fill for AI roles in the BLS JOLTS June 2026 data reflects the non-transparent market's inefficiency. Transparent employers in ENTRA's Q2 2026 audit filled equivalent roles in an average of 46 days. The compression comes from two places: fewer exploratory conversations where candidates decline to proceed without compensation visibility, and faster candidate decision-making when the band is known from the first touchpoint. For a senior researcher evaluating offers from the Anthropic-OpenAI-Microsoft triangle simultaneously -- a realistic scenario at the L6 research level in the current market -- a visible band reduces the decision to a comparison rather than a set of negotiations with different unknown variables. The employer who posts the band earliest in the process shapes the candidate's reference frame.
Counter-offer dynamics change from retention surprises to internal equity triggers. The most underestimated consequence of universal disclosure is what happens inside the employer when the external band is public. An employee at the 35th percentile of their disclosed band who watches the company post the same role for new candidates reads the band as an implicit contract about where they should sit. Internal equity review becomes not a voluntary HR initiative but an operational necessity when the external posting is visible to the entire existing workforce. California employers who have operated under SB 1162 for three years report a marked increase in internal compensation review requests from existing employees who have observed their own band in external postings. Those requests are not random: they are concentrated at employees who are below the band midpoint, who are members of groups historically concentrated at the floor (documented in the Aug 14 equity analysis), and who have above-median tenure in their role. The UK ERA 2025 action plan requirement operationalizes this: it requires employers to identify the gap and document a plan to close it, not merely to report the gap. The action plan requirement creates internal equity review as a compliance deliverable rather than a voluntary program.
Cross-lab benchmarking becomes granular rather than anecdotal. Before mandatory disclosure, compensation intelligence in the AI market traveled through recruiter calls, peer networks, and Levels.fyi self-reports -- all directionally useful, but imprecise. When Microsoft, Google DeepMind, Anthropic, Meta AI, and GitHub all post salary bands that cover the same role families under California, EU, and UK disclosure obligations simultaneously, the benchmarking data becomes systematic. A Senior Research Scientist evaluating offers from three frontier labs will, for the first time, have posted band data from each employer in the same document format, covering the same role title. ENTRA's CHRO-level conversations in Q2 2026 documented two frontier labs that have already begun revising their band structures in anticipation of this comparison effect: the assumption is that bands which look materially below peer posting bands will become a candidate acquisition problem before they become a compliance problem.
5. Three Things to Watch in H2 2026
Watch 1: Article 258 proceedings and the first EU enforcement referrals (Q4 2026).
The European Commission opened Article 258 infringement proceedings against non-transposing member states in July 2026. The proceedings follow a standard sequence: formal notice, reasoned opinion, then referral to the Court of Justice of the EU. For member states that fail to respond adequately to the reasoned opinion -- which the Commission is expected to issue in Q4 2026 for the most recalcitrant non-transposers -- referral to the CJEU can follow within 60 to 90 days. Greece is the highest-profile AI-relevant non-transposing state, given the Microsoft Athens operation and the EU-funded AI research infrastructure in Thessaloniki. The question for employers operating in non-transposing states is not whether the Directive applies to them -- it does, under direct effect, from June 7, 2026 -- but whether national labor inspectorates will begin enforcement actions against individual employers before member state transposition completes. Watch for any enforcement action from the Greek Labor Inspectorate (SEPE) against a technology employer on pay transparency grounds. The first such action, if it comes, will establish whether direct effect is operationally enforceable at the member state level ahead of national implementing legislation.
Watch 2: CRD enforcement actions in the California AI sector (Q3 to Q4 2026).
California's CRD (Civil Rights Department, which administers SB 1162 enforcement) has been building its enforcement caseload since July 2024. The first significant penalties against AI employers are expected in Q3 or Q4 2026. ENTRA's Q2 2026 compliance audit found that the 29 percent non-compliant California AI employer cohort includes a cluster of Series A and Series B startups that have posted roles nationally without including the California-required salary range. These are not household names; they are the employers in the $50 million to $200 million funding range that are large enough to attract California-based senior candidates but have not yet built the compliance infrastructure that enterprise-scale employers run as standard. A DFEH enforcement action against a named Series B AI employer would change the compliance calculus for the entire startup tier immediately. The enforcement has not arrived yet, but the caseload data suggest it is close.
Watch 3: ENTRA's H2 2026 CHRO Survey on internal equity audit triggers (results October 2026).
ENTRA is fielding its H2 2026 CHRO Survey in August and September 2026, with results scheduled for publication in October 2026. The survey includes a dedicated module on whether CHROs at AI employers operating across multiple disclosure jurisdictions have conducted or commissioned internal equity audits as a consequence of their disclosure compliance programs. Preliminary indications from Q2 2026 CHRO conversations are that the answer is yes, but that the audits are being treated as internal documents rather than public disclosures. The UK ERA 2025 action plan requirement will force some of these audits into the public record by April 2027. The October survey results will establish a baseline: how many AI employers across the four-framework coverage zone have completed an internal equity audit, what the audits are finding, and whether the findings are being translated into compensation adjustments before they become public. That is the leading indicator for whether the regulatory convergence is producing real compensation change or compliance theater.
The transparency endgame is not the moment all employers post a number. It is the moment the number tells the truth about what the market pays, and every participant in that market can read it.
Footnotes and Methodology
[1] ENTRA Job Signal Index Q2 2026: 47,200 active AI postings classified across 31 countries, April 1 to June 30, 2026, for presence or absence of salary range disclosure. Postings classified as "disclosed" where a numeric salary range (floor and ceiling) appeared in the posting body. The $43,000 median gap between band midpoints at transparent versus non-transparent employers is computed on matched cohorts: same role title (Senior ML Engineer, Research Scientist, Applied Scientist, ML Infrastructure Engineer), same seniority tier (senior IC, defined as 8-plus years experience or equivalent level designation), same metropolitan area. Market-implied midpoint for non-transparent employers computed from ENTRA Q2 2026 Salary Survey offer data for non-disclosed hiring processes in the same matched cohorts. Confidence interval: plus or minus $8,000 across role categories.
[2] California SB 1162 compliance rate: ENTRA Q2 2026 compliance audit of California AI sector. Audit methodology: 214 employers with known California-based AI headcount screened against active posting database for presence of salary range on all California-posted roles. Compliance defined as 95 percent or more of active California postings containing a numeric salary range. 71 percent compliance rate represents the share of audited employers meeting this threshold. Non-compliant cohort analysis based on funding stage classification from Crunchbase Q2 2026 data.
[3] EU Pay Transparency Directive 2023/970/EU: Transposition status as of August 2026 drawn from European Commission transposition tracker. Twelve member states had not completed transposition as of the June 7, 2026 deadline per Commission public records. Article 258 infringement proceedings status per European Commission press release, July 2026. Direct effect doctrine application draws on standard CJEU jurisprudence on unconditional and sufficiently precise directive provisions; ENTRA's legal analysis is editorial and does not constitute legal advice. The 4 percent annual turnover penalty figure is from Article 23 of Directive 2023/970/EU.
[4] UK Employment Rights Act 2025: Royal Assent date December 18, 2025, per UK Parliament records. Action plan obligations for 250-plus-employee employers draw from Part 6 of the Act. ACAS and EHRC guidance status as of August 2026: draft guidance published June 2026 for consultation; final guidance not yet issued. Equity-weighted total compensation interpretation reflects open questions in the draft guidance consultation document; ENTRA's characterization is editorial.
[5] ADGM/DIFC frameworks: ADGM Employment Regulations 2015 (as amended); DIFC Employment Law Amendment 2023, DIFC Law No. 4 of 2023. Compliance cascade to remote roles sourced from ADGM/DIFC entities reflects ENTRA's editorial interpretation of entity-based employment obligations; this is an actively contested legal question and employers should seek jurisdiction-specific legal advice. G42, HUMAIN, and Inception entity structures per ENTRA regional reporting, Amman briefing, August 21, 2026.
[6] Compensation band data: Anthropic L6 Research Scientist total compensation range ($480,000 to $740,000) from ENTRA Q2 2026 Salary Survey (n=38 Anthropic respondents, seniority-filtered) corroborated against Levels.fyi Q2 2026 self-report data. Google DeepMind London L6 Research Scientist range ($380,000 to $520,000) from ENTRA Q2 2026 tracking, GBP converted at Q2 2026 GBP/USD 1.27. Meta AI E7 Research Scientist Paris band (EUR 180,000 to EUR 240,000 base) from Q2 2026 posting audit, EUR converted at Q2 2026 EUR/USD 1.09. NVIDIA ML Systems Engineer range ($320,000 to $480,000) from Levels.fyi Q2 2026 composite and ENTRA Q2 2026 Salary Survey (n=22 NVIDIA respondents). All total compensation figures include base, equity (annualized at grant price), and cash bonus.
[7] BLS JOLTS June 2026: Bureau of Labor Statistics Job Openings and Labor Turnover Survey, June 2026 release. AI-adjacent tech job openings figure (847,000) represents computer and information technology occupations category. Average time-to-fill (58 days) from ENTRA Q2 2026 CHRO Survey supplementary data (n=44 CHRO respondents), not from BLS JOLTS, which does not publish time-to-fill at occupational granularity. ENTRA estimate that 73 percent of global AI job market by posting volume will operate under mandatory disclosure obligations by Q4 2027 assumes EU full transposition by Q1 2027, continued SB 1162 enforcement, UK ERA 2025 action plan compliance beginning April 2027, and no new federal US salary disclosure legislation. Estimate carries material uncertainty; actual coverage depends on enforcement pace and employer behavioral response.
ENTRA Job Signal Index, ENTRA Q2 2026 Salary Survey, and ENTRA CHRO Survey data are collected and analyzed independently by ENTRA Intelligence. No compensation is accepted from companies referenced in this analysis. Company-level compensation bands cited are editorial estimates based on publicly available disclosure data, Levels.fyi self-report aggregates, and anonymized ENTRA survey respondents; they are not confirmed by the named companies and should not be treated as authoritative representations of those companies' compensation programs. Exchange rates: EUR/USD 1.09, GBP/USD 1.27 (Q2 2026 canonical rates per respective central bank data). Legal framework characterizations are editorial and do not constitute legal advice; employers should seek jurisdiction-specific counsel on disclosure obligations.
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