This year will be the "darkest hour" for AI startups? Silicon Valley giants enter predatory mode.

The renowned venture capitalist Marc Andreessen said in 2011 that "software is eating the world," and by 2026, it looks like Silicon Valley giants are poised to "devour" AI startups. Over the past few years, the AI startup boom has spawned nearly 40,000 companies, but now, the real laws of economics are starting to take effect, and the whole industry is undergoing a major reshuffling.

On January 8, Bloomberg columnist Parmy Olson, who focuses on technology, published a new article pointing out that two deals hastily closed before the new year revealed the giants' latest strategy: On one hand, they use "acqui-hiring and licensing" deals to circumvent antitrust scrutiny, effectively "invisibly" acquiring competitors in the US and Europe; on the other hand, they are directly targeting high-quality AI assets worldwide. The most typical case is NVIDIA reaching a $20 billion "non-exclusive licensing agreement" with chip startup Groq on December 24 — essentially a "backdoor acquisition" aimed at acquiring technology and talent.

Meanwhile, Meta acquired AI startup Manus for around $2 billion in December, highlighting Silicon Valley giants' intentions to eliminate potential competition and integrate advanced technologies through mergers and acquisitions. As market confidence in AI startups wavers, big tech companies are taking the opportunity to pick up critical talent and intellectual property at a lower cost in the "fire sale" of startups.

Parmy Olson believes this trend signals an acceleration of "Darwinian" survival of the fittest. Although US companies' spending on generative AI software surged to $37 billion in 2025, under the pressure of return on investment (ROI), only a few winners will survive, while many homogeneous weaker players will be swallowed by the giants. This consolidation will help tech giants weather the market storm and further solidify their dominance in the AI field.

Return to Business Logic: From Blind Expansion to Survival of the Fittest

In recent years, the AI financing boom has fostered a massive amount of homogeneous competition. Menlo Ventures data shows that in 2025, US companies' spending on generative AI software reached $37 billion, far higher than the previous year's $11.5 billion. However, this huge expenditure is spread across a dizzying array of tools, resulting in severe market fragmentation.

Parmy Olson believes that as enterprise clients face pressure to demonstrate tangible investment returns, the market will undergo dramatic consolidation in 2026. This model already appeared in the cloud software industry in 2020-2021, when a multitude of similar businesses ultimately triggered a wave of private equity-driven acquisitions. Now, the same script is playing out in the AI space: When dozens of startups seek to solve the same pain point, and only two or three end up claiming market share, the rest will inevitably become acquisition targets. For tech giants, this is the perfect time to acquire technology and talent at a low price.

"Quasi-M&A" Game: Acquisitions in the Name of Licensing

To get around regulatory hurdles, Silicon Valley giants have devised complex deal structures. NVIDIA's deal with Groq is a textbook example: NVIDIA pays for technology licensing, integrating Groq's chip design into future products, while some Groq executives join NVIDIA.

Parmy Olson believes that, technically, these deals avoid triggering antitrust reviews, but in substance, they achieve the goal of eliminating potential competitors and acquiring core assets.

Back in 2024, Microsoft pioneered this approach with a $650 million licensing deal, bringing the CEO and core team of AI startup Inflection into its fold. Subsequently, Alphabet's Google entered a similar $2.7 billion partnership with Character.AI, and Amazon "acquihired" startup Adept. Entering 2025, Google spent another $2.4 billion to acquire the assets and talent of AI coding startup Windsurf.

Although the US Federal Trade Commission (FTC) and the Department of Justice are investigating these "acquisition-like" deals, after President Trump signed an executive order in December 2025 signaling possible easing of antitrust enforcement, this "quasi-M&A" model is expected to continue to prosper.

Hunting Worldwide: The Inevitable Fate of Startups?

The global tech M&A landscape is changing. Multinational tech giants are turning their gaze to innovative enterprises with international backgrounds.

Industry insiders point out that innovation is no longer confined to specific regions; promising tech companies are emerging worldwide. Meanwhile, a new generation of AI entrepreneurs is exhibiting a broader, international outlook. They usually have multicultural backgrounds and are more familiar with global market rules and business environments. Many startups lay out global strategies from the outset, such as locating headquarters in politically neutral regions, which creates favorable conditions for future acquisitions by global platforms.

Parmy Olson analyzes that, in theory, companies with technological advantages in specific fields — such as those developing large language models — could potentially become complementary targets for large tech groups. However, the reality is that the global tech industry’s leadership is already quite entrenched, and even currently leading AI startups are unlikely to shake the giants’ dominance in the short term. At this stage of industrial development, established giants that control resources, ecosystems, and markets continue to play a dominant role in consolidation and mergers.

After three years of trial and exploration, enterprise clients are gradually concentrating their budgets among a handful of core suppliers. As the market outlook shifts, a large number of struggling startups worldwide will be forced to seek exits, while Silicon Valley incumbents are ready to feast. For investors, this means that alpha returns in the market will increasingly concentrate in the top tech stocks, while investment risk in startups will rise significantly.

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