No Priors Ep. 84 | With Chair of the Federal Trade Commission Lina Khan

Lina Khan’s FTC has been the most active in decades, notably challenging tech giants and adopting a more hands-on approach to regulating the digital age. On today’s episode of No Priors, Lina Khan joins Elad and Sarah to discuss her regulatory philosophy for tech markets and what the industry can expect for future M&A deals. She shares her approach to overseeing emerging technology sectors, including AI at the model layer, and her work to ban non-competes on a federal level. Khan also offers insights into the realities of leading a government agency, the scarcity of young leaders in power, and how she measures the FTC’s impact. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @LinaKhanFTC Show Notes: 0:00 Introduction 0:56 Lina Khan’s background and path to the FTC 2:35 Amazon’s Antitrust Paradox 4:20 Frameworks for regulating M&A in young markets 8:50 Khan’s perspective on AI acquisitions 12:18 What founders can expect from Khan’s M&A environment 14:55 Promoting competition at the large model layer 17:01 Creating fair AI regulation 18:40 FTC’s work to ban non-competes 20:31 Why so few young people hold power in government today 22:18 The realities of running a government agency 24:20 Measuring the impact of FTC

Sarah GuohostElad GilhostLina Khanguest

Oct 2, 202426mWatch on YouTube ↗

WHAT IT’S REALLY ABOUT

Lina Khan on AI, antitrust, and keeping markets truly open

FTC Chair Lina Khan discusses how decades of market consolidation, especially in digital markets, have harmed consumers, workers, and entrepreneurs, and why stronger antitrust enforcement is needed. She explains merger review as an inherently predictive exercise, particularly critical at technological inflection points like AI, where incumbents may try to neutralize emerging threats. Khan defends robust scrutiny of acquisitions while emphasizing that most deals proceed, and illustrates how blocking anticompetitive deals can still allow beneficial transactions and innovation. She also addresses AI model openness, creator rights, simple versus incumbent-favoring regulation, the FTC’s non-compete ban, and how she manages and measures impact at a modern regulatory agency.

IDEAS WORTH REMEMBERING

5 ideas

Antitrust enforcement must look beyond short-term prices to market structure.

Focusing only on immediate price and output effects misses how dominance, gatekeeping, and consolidation can harm entrepreneurs, workers, and long-run innovation even when consumer prices appear low.

Merger review is predictive, especially crucial at technological inflection points like AI.

Agencies must assess whether deals may substantially lessen future competition, including in emerging markets, because inflection points are when incumbents are most likely to snuff out disruptive threats.

Digital markets can ‘tip,’ making late entry much harder than assumed.

Network effects and data advantages can entrench dominant firms, undermining the old belief that new entrants will automatically discipline tech monopolies, and justifying more active enforcement.

Most M&A still goes through; antitrust targets moat-deepening, not exits per se.

Khan stresses that less than ~3% of reportable deals are investigated, and challenges mainly focus on acquisitions by entrenched monopolists that would remove current or future rivals, not on all startup exits.

Who you sell to matters: deals with monopolists are riskier antitrust-wise.

Founders and investors can better predict risk by recognizing that sales to dominant incumbents in the same market are far likelier to raise issues than sales to firms without that entrenched position.

WORDS WORTH SAVING

5 quotes

How we structure markets is in fact a policy question. Do we want monopolies in every market, or do we want more competition?

— Lina Khan

Merger enforcement is inherently a predictive exercise.

— Lina Khan

Digital markets are different, and in fact, they can lend themselves to tipping.

— Lina Khan

If you reduce what antitrust is about, it's about making sure that the best ideas can win.

— Lina Khan

Not all rules and regulations are created equal… some are designed in a way to favor the big guys and end up having that effect.

— Lina Khan

Evolution of Lina Khan’s antitrust thinking and path to leading the FTCPredictive merger enforcement and nascent/AI market competitionDigital market tipping, network effects, and incumbent dominanceSecond-order effects of M&A on startups, talent, and innovationAI foundation models, open weights, and creator data appropriationRegulation design: simple rules vs. complex, incumbent-favoring regimesNon-compete bans, opportunity creation, and measuring FTC effectiveness

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