The tech industry is bracing for significant shifts in 2026, according to recent predictions from industry analysts at TechCrunch’s Equity podcast. Discussions centered on the evolution of artificial intelligence, venture capital trends, and potential regulatory hurdles. The annual predictions episode, featuring hosts Kirsten Korosec, Anthony Ha, and Rebecca Bellan alongside Isabelle Johannessen of Build Mode, offered insights into what may define the coming year in technology.
The Equity crew analyzed the successes and shortcomings of 2025, particularly regarding the anticipated impact of AI agents. While initial expectations were high, the practical application of these agents faced challenges. The conversation also touched on the liquidity crisis impacting venture capitalists and the increasing scrutiny of AI-generated content within the entertainment industry.
The Future of Artificial Intelligence and World Models
A key takeaway from the podcast is the growing importance of “world models” in the field of artificial intelligence. These models differ from large language models (LLMs) by attempting to understand and predict the physical world, rather than solely processing text. This advancement could unlock more sophisticated AI applications, moving beyond simple text generation to more complex problem-solving.
AI Agent Development
Despite substantial investment, AI agents didn’t fully deliver on their promise in 2025. The Equity team suggests this is likely to change in 2026, as developers refine the technology and address current limitations. The development of more robust world models is expected to be a crucial factor in this improvement.
Shifting Startup Strategies
The podcast highlighted a change in approach for AI startups. The era of “stealth mode” – operating in secrecy – is reportedly waning, with companies increasingly opting for transparency and seeking alternative funding sources. This shift may be driven by the need to attract talent and demonstrate progress in a rapidly evolving landscape.
Regulatory Landscape and IPO Potential
The discussion also addressed the complex and evolving regulatory environment surrounding AI. The team anticipates continued “regulatory chaos” as governments grapple with establishing effective policies. Specifically, they examined the potential impact of recent executive orders, such as those issued by the Trump administration, on AI startups and innovation. These orders could introduce new compliance requirements and potentially slow down development.
Looking ahead to potential exits, the Equity crew debated the likelihood of initial public offerings (IPOs) for leading AI companies like OpenAI and Anthropic. While both companies have garnered significant attention and funding, the current market conditions and regulatory uncertainties make a 2026 IPO far from guaranteed. The timing will likely depend on achieving demonstrable profitability and navigating the evolving legal framework.
Beyond AI: Other Tech Predictions for 2026
The conversation extended beyond artificial intelligence to encompass broader tech trends. The podcast team offered a range of predictions, including a potential public falling out between prominent figures Johnny Ive and Sam Altman. Additionally, they speculated about a resurgence of “dumb phones” as users seek to disconnect from constant digital stimulation.
A recurring theme was the increasing integration of AI into various aspects of life, leading to a widespread adoption of the term “AI native” to describe individuals and businesses proficient in utilizing these technologies. This suggests a fundamental shift in how people interact with technology and the skills required to succeed in the future workforce. The concept of being “AI native” is similar to being “digital native” in the early 2000s.
The Build Mode segment previewed season two, promising a detailed exploration of team building, hiring practices, and the challenges of finding suitable co-founders for tech ventures. These are critical areas for startup success, particularly in the competitive AI space where talent acquisition is paramount. The podcast also touched on the broader venture capital environment, noting the current liquidity challenges facing investors.
The podcast also briefly discussed the potential for increased scrutiny of AI-generated content in Hollywood, with studios likely to push back against the use of AI that could displace creative jobs. This tension between technological advancement and labor concerns is expected to intensify in the coming year. The entertainment industry is facing a similar disruption to that experienced by the publishing industry with the rise of LLMs.
Looking forward, the tech industry will be closely watching the development and deployment of world models, the impact of AI regulations, and the potential for major tech companies to go public. The success of AI agents and the ability of startups to secure funding will also be key indicators of the industry’s health. While the Equity team offered specific predictions, the inherent uncertainty in the tech landscape means these forecasts should be viewed as informed speculation, subject to change as new developments unfold. The continued growth of generative AI and machine learning remains a central theme, but its ultimate trajectory is still being determined.
