The same role pays completely differently depending on where its technology wave stands. These assessments grade each field against a fixed 7-criterion rubric — capital flows, talent migration, media tone, mainstream participation, regulation, infrastructure maturity, and failures — and place it in one of five cycle phases.
This is the evidence behind the Timing lightin your report's Market Reality Check. Phases move — every page carries its assessment date and is reviewed quarterly.
Phase 3 (Hype), first cracks of Phase 4
The post-ChatGPT AI wave is unambiguously in peak Hype (Phase 3): AI took ~80% of all global VC in Q1 2026, ChatGPT crossed ~1B weekly users, and AI-skill wage premiums hit 56%. But Phase-4 precursors are now visible and multiplying — an ~$800B web of circular Nvidia/OpenAI/Oracle financing under scrutiny, public-market wobbles (KOSPI halt, Nvidia's worst drop in 10 months), a viral MIT '95% of pilots fail' ROI study, and 95+ startup shutdowns plus reverse-acqui-hire roll-ups in 18 months. Frontier labs are consolidating and regulation is arriving, but no broad bust has hit — capital and adoption still overwhelm the shakeout signals, so this is late Phase 3 tipping toward 4, not yet 4.
Phase 4-5 (post-bust consolidation into maturity)
Crypto sits in a bifurcated late-cycle state: the institutional/infrastructure layer (ETFs, stablecoins, regulation, RWA) is squarely in Phase 5 maturity, while the speculative startup layer is mid Phase-4 bust with 70+ projects shut down in H1 2026 and developer flight to AI. Capital and talent now reward proven revenue over hype, the hallmark of consolidation. This is no longer a hype phase; it is the shakeout that precedes commoditized maturity.
Phase 3 (Hype), first Phase 4 consolidation signals
The AI-driven biotech wave sits squarely in Hype: record mega-rounds (Isomorphic $2.1B, Xaira >$1B, Chai $1.3B valuation) and an AI-led IPO rebound coexist with mainstream founding energy and hero narratives. But the first Phase 4 consolidation signals are already visible - the Recursion/Exscientia merger, Verge's ~90% layoff after an AI-designed drug failed, and multiple shelved Phase II candidates. It is a hype peak that has begun sorting winners from losers, not yet a mature market.
Bust/Consolidation into a bifurcated maturing market
The post-2021 climate-tech wave is in a clear shakeout: VC funding fell three straight years, early-stage capital is drying up, and marquee failures (Northvolt) plus mass hydrogen/CCS cancellations mark a Phase-4 bust. But it is bifurcated - grid, storage, nuclear/fusion and AI-power-demand plays are consolidating into Phase-5 maturity with record deployment and falling battery costs, while speculative sub-sectors retrench.
Bust/Consolidation transitioning to Maturity
FinTech has decisively exited its 2015-2021 hype and 2022-2023 correction, and now sits in the late consolidation phase with clear maturity signals: scaled, profitable survivors are pulling ahead while weak middleware players collapse. Capital and IPOs have recovered but selectively, rewarding profitability over growth-at-all-costs. Stablecoin/AI infrastructure is the one sub-wave still showing genuine Phase-3 hype energy inside an otherwise maturing sector.
Bust/Consolidation - with an emerging AI-tutoring sub-wave
Broad EdTech sits firmly in post-bust consolidation: pandemic-era darlings (Byju's, Chegg, 2U) have collapsed or gone private, VC is at decade lows, and survivors are being acquired. But a distinct new sub-wave - AI tutoring and teacher-copilot tools - is in early-adoption/hype: capital is rotating toward it, adoption is exploding, and regulators are just starting to codify rules. It is a maturing sector hosting a young AI wave inside it.
Growth tipping toward maturity — DIY entry via the content/data layer, not rockets
The commercial space economy is a mature, still-growing cycle (~$626B in 2025, ~78% commercial, tracking toward $1T+), not an early-stage bet. But the DIY-accessible entry point is NOT rockets or satellites — that layer is capital-heavy deep-tech. The two doors a solo builder can actually walk through are (a) the space content/education/creator economy (the Everyday Astronaut model: camera + knowledge, no hardware) and (b) geospatial / Earth-observation data-apps built on open imagery and commercial tasking APIs.
Young scenes still in Phase 1-2 where a solo builder with a laptop (and little capital) can still get in early — the credibility window is open. Each page carries a plain-English primer and where to start learning.
Phase 2 (Early Adoption)
Local-first has graduated from a research idea (coined 2019 by Ink & Switch) into a real developer movement with maturing sync-engine tooling, a dedicated conference now in its 3rd year, and a first-ever FOSDEM devroom in 2026. But capital is modest, adoption is confined to developers/startups, and there is near-zero mainstream awareness — this is early-adoption, not a mania.
Early growth on a tooling inflection
A genuine emerging maker scene riding a real inflection: ESPHome's visual Device Builder (1.0 in June 2026) removed the coding barrier just as cheap full-color e-ink panels ($99-109) became plug-and-play. It is a prosumer/maker economy, not a VC scene - funded through the non-profit Open Home Foundation and marketplace kit sales, with Home Assistant's 2M+ install base as the demand engine. Phase 1-2: strong tooling and hardware momentum, thin but growing commercialization, no shakeout yet.
Early adopters / accessible entry forming
Assessing ONLY the non-invasive, open-source layer (OpenBCI, Cerelog $299 ESP-EEG, BrainFlow, Muse/Emotiv headbands) - the invasive Neuralink/Synchron core is explicitly out of scope. This layer is genuinely emerging: cheap open hardware, mature free SDKs, a new OS-native input category, and the first neural-data privacy laws all landed in 2024-2026. It is real and buildable today but still niche and hype-shadowed by implant headlines, which is why it sits at Phase 1-2, not later.
The five phases