Which contrarian consumer markets do VCs feel are the most interesting to invest in today, and which are the hardest?

Venture capitalists identify consumer internet as a significant contrarian opportunity, created by a widespread investor pivot towards AI and SaaS [3, 6]. This shift has resulted in a less competitive landscape for consumer-focused companies, creating an environment where alpha may be generated from a lack of capital . Multiple investors predict a "comeback" for consumer technology, which has been relatively underfunded recently [7, 29]. This contrarian interest, however, is not a return to previous models; for instance, some funds like M13 have not invested in a direct-to-consumer company since **approximately 2019**, signaling a strategic move away from established playbooks . The core thesis is that the market's herd mentality has left a valuable sector under-appreciated, presenting opportunities for patient, long-term investors who can withstand periods of negative sentiment .

The emerging wave of consumer technology is expected to be fundamentally different from the previous social media-centric era . The next generation of winning products is viewed as AI-native and primarily utility-focused, designed to help users create, learn, and automate tasks rather than simply connect socially . This perspective is underpinned by an expansive view of the market, with a16z's consumer team operating on the thesis that **99% of the software** the world needs will be built in the next five years . Distribution models are also evolving, with successful new consumer startups increasingly employing creator-led strategies to reach audiences . This vision of the future consumer market is not about incremental improvements but about building entirely new categories of software-enabled utility.

Conversely, VCs identify several consumer-adjacent markets as exceptionally difficult, primarily due to regulation and challenging economics. Sectors such as housing, education, and healthcare are often avoided due to excessive government oversight, which stifles innovation and complicates business models . Capital-intensive businesses operating in the physical world, including robotics and autonomous vehicles, are also viewed with caution [1, 17]. These sectors present slow learning cycles and unproven unit economics, with autonomous vehicles having absorbed over **$100 billion in investment** with financial viability remaining unclear [9, 17]. This contrasts sharply with software-based models where financial metrics are better understood .

A notable tension exists around the SaaS market, which some now consider a difficult sector while others view it as a contrarian opportunity. Many investors are exiting SaaS due to uncertainty over which companies will be negatively impacted by AI, making it harder for traditional infrastructure software companies to raise capital [7, 16]. However, this exodus has created a contrarian play for investors who believe the market has oversold public software incumbents with strong cash flow and data moats [2, 11]. This debate reflects a broader strategic nuance in venture capital: while the highest returns often come from non-consensus ideas [5, 14], companies must eventually achieve consensus to secure the necessary follow-on funding to succeed, a dynamic that is highly dependent on a fund's specific investment stage [4, 23].