The short answer: the trends shaping chip design right now are AI hardware, chiplets and advanced packaging, gate-all-around transistors at 2nm-class nodes, backside power delivery, the growth of RISC-V, and, in India, the first fab and assembly projects alongside a fast-growing design industry. Each one is creating new engineering work.
Trend articles often list twenty buzzwords. I would rather focus on the handful that are actually changing what engineers do day to day, and say which ones are worth learning about for your career. This page also replaces my older post on the future of nanotechnology in VLSI.
- The big picture
- AI hardware drives demand
- Chiplets and advanced packaging
- New transistors and backside power
- RISC-V and open hardware
- Semiconductors in India
- What I would learn because of these trends
Table of Contents
Part 1: The big picture

Part 2: AI hardware drives demand
GPUs, NPUs and custom accelerators are the fastest-growing part of the industry. They need RTL designers who understand dataflow, verification engineers who can handle huge designs, physical design engineers for very large chips, and packaging engineers for multi-die systems.
Part 3: Chiplets and advanced packaging
Instead of one giant die, many chips are now built from several smaller chiplets in one package, connected through standards like UCIe and stacked with high-bandwidth memory (HBM). This improves yield and lets companies mix process nodes, but it makes packaging, die-to-die interfaces, thermal design and multi-die verification much more important.
Part 4: New transistors and backside power
At the leading edge, the industry has moved from FinFETs to gate-all-around (GAA) nanosheet transistors at 2nm-class nodes, with stacked designs like CFET on the research roadmap. Backside power delivery, which moves power wiring to the back of the wafer, is arriving alongside GAA at some foundries.
For designers, this means new physical design rules, new timing and variation effects, and a lot of work on power integrity. The older ideas about “nanotechnology in VLSI”, such as carbon nanotubes and 2D materials, are still being researched, but GAA and CFET are what is actually reaching production.
Part 5: RISC-V and open hardware
RISC-V, the open instruction set, keeps growing in microcontrollers, automotive, storage and custom accelerators. Together with open-source tools and open PDKs, it has made processor design much more accessible, which is great news for students.
Part 6: Semiconductors in India
India has long been a major centre for chip design. Under the India Semiconductor Mission, the country now also has its first fab, assembly and test projects underway, and government schemes support chip design startups and training. Expect more roles in manufacturing, test and packaging alongside design.
Part 7: What I would learn because of these trends
- Low-power design and power integrity basics.
- How AI accelerators are built: MAC arrays, memory bandwidth, INT8 datapaths.
- Chiplet and die-to-die interface basics.
- RISC-V architecture, ideally by building a small core.
- How to use AI-assisted design tools, and how to check their output.
Practise this on VLSI Forge
I built VLSI Forge so you can write RTL in your browser, run it on a real simulator and check every signal in the waveform. Free, nothing to install.
Build an NPU · Build a RISC-V CPU · Physical Design Closure course
FAQ
Which VLSI trend has the most job demand?
AI hardware, by a clear margin, followed by advanced packaging and chiplets. Both need engineers across the whole flow.
What is a chiplet?
A smaller die designed to be combined with others in one package. Several chiplets together act like one large chip.
What happened to Moore’s law?
Transistors keep getting denser, but more slowly and at higher cost. Packaging, chiplets and specialised architectures now deliver a large share of the gains.
Is nanotechnology still important in VLSI?
Yes, but in a practical form: gate-all-around transistors, new materials and new interconnects. More exotic ideas like carbon nanotube transistors remain mostly in research.
