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Dara Khosrowshahi12 June 2023

Uber CEO Dara Khosrowshahi

4Frameworks
10Insights

Frameworks in this episode

Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Explainer· 1

Explainer28:30

How Uber's Labor Marketplace Self-Regulates Prices and Supply

Khosrowshahi argues that driver supply and rider demand, rather than a centrally selected fare, determine the spot price of transportation labor. Strong economies make drivers harder to recruit, while softer economies add supply, reduce wait times and prices, and can accelerate trip volume.

  • Uber maintains an open platform for qualified earners.
  • Lower earnings make alternative work relatively more attractive.
  • Driver acquisition becomes more expensive in strong labor markets.
  • Additional supply can reduce ETAs and prices during softer conditions.
  • Uber's economists view fares as marketplace-clearing prices.

“one of our core philosophies is this is an open platform”

Dara Khosrowshahi · 28:30

“we actually don't control the price to the consumer that is actually the spot price for this kind of Labor”

Dara Khosrowshahi · 30:30
#marketplaces#labor economics#pricing#rideshare

Story· 5

Story04:30

Why IAC Honored the Expedia Deal After September 11

September 11 caused Expedia's travel business to collapse before IAC's acquisition had closed, potentially allowing IAC to invoke a material-adverse-change clause. Rich Barton requested certainty, and Barry Diller's team chose to proceed without changing the terms because they believed travel would remain fundamental to life.

  • IAC knew it had an option to abandon the transaction.
  • Uncertainty about the deal was destabilizing Expedia.
  • Rich Barton pressed IAC to decide rather than exploit the option's remaining time.
  • Barry Diller concluded that travel would recover despite the immediate crisis.
  • IAC proceeded with no changes to the deal.

“if there isn't travel there's a life”

Dara Khosrowshahi, quoting Barry Diller · 06:30

“game on no changes to the deal at all”

Dara Khosrowshahi · 07:00
#expedia#september 11#travel#acquisitions
Story09:00

The Junior Analyst Barry Diller Summoned for the Real Numbers

As a young Allen & Company analyst, Khosrowshahi built the model supporting Barry Diller's hostile bid for Paramount. Diller bypassed hierarchy and asked to meet the person responsible for the numbers, revealing his preference for first-hand, unedited information.

  • Khosrowshahi was only a few years out of college.
  • A colleague's illness forced him to step into a direct client role.
  • Diller wanted the model's actual author to explain it.
  • The encounter became the start of an important professional relationship.

“he wants to get the real stuff he doesn't want a version an edited version of reality”

Dara Khosrowshahi · 11:30

“get the unvarnished truth because that helps them make better decisions”

Dara Khosrowshahi · 12:00
#barry diller#decision making#investment banking#leadership
Story38:30

The Secret Two-Month Process That Brought Dara to Uber

Khosrowshahi initially rejected the Uber CEO opportunity until Spotify's Daniel Ek challenged him to prioritize impact over comfort. He kept the process secret, informed Barry Diller to preserve trust, and received Diller's help preparing the board presentation despite Expedia's interest in retaining him.

  • A headhunter contacted Khosrowshahi during Uber's leadership crisis.
  • Daniel Ek had recommended him for the role.
  • Khosrowshahi required confidentiality because he already had a strong job.
  • Barry Diller first called the idea crazy, then supported him as a friend.
  • The recruitment process lasted roughly two months.

“since when is life about having fun it's about having impact”

Dara Khosrowshahi, quoting Daniel Ek · 40:00

“speaking as the chairman of Expedia it would be a real mistake but speaking as a friend I understand why you're interested I would be…”

Dara Khosrowshahi, quoting Barry Diller · 42:30
#uber#ceo recruitment#daniel ek#barry diller
Story1:06:30

Uber's All-or-Nothing Deal to Eliminate Supervoting Shares

SoftBank wanted a major Uber investment while high-vote shareholders were locked in a control struggle and reluctant to sell. Uber persuaded every relevant holder, including Travis Kalanick and Benchmark, to convert high-vote shares, enabling the investment and unexpectedly ending the company's control battle.

  • SoftBank threatened to invest heavily in Lyft instead.
  • Selling shares would convert high-vote stock into lower-vote stock.
  • Every major holder had to agree for the restructuring to work.
  • The conversion brought SoftBank into Uber.
  • Eliminating concentrated voting power redirected attention from control toward building the company.

“we literally had to like get everyone to agree to blow up the high vote shares”

Dara Khosrowshahi · 1:08:00

“it stopped the power struggle because then no one could control the company”

Dara Khosrowshahi · 1:09:00
#softbank#corporate governance#supervoting shares#uber
Story1:15:30

The New York Times Bet on Quality Before the Data Supported It

While Khosrowshahi served on its board, The New York Times committed to subscriptions even though advertising was much larger and digital media favored fast, ad-supported content. He describes the choice as an identity-driven enterprise bet on quality that was not yet supported by the company's financials.

  • The newsroom and business operations maintained strict separation.
  • Subscriptions were non-obvious during the advertising-led digital-media era.
  • The company grounded the decision in its identity as a quality publisher.
  • Family control may have supported conviction in the long-term bet.
  • The strategy helped create a leading global news brand.

“the bet that they made on subscriptions was amazing”

Dara Khosrowshahi · 1:16:30

“it was an Enterprise bet based on a core identity of the company which is we believe in quality content”

Dara Khosrowshahi · 1:16:30
#new york times#subscriptions#media strategy#quality

Q&A· 1

Q&A1:20:00

How Safe Must Self-Driving Cars Be Before Society Accepts Them?

Khosrowshahi separates the autonomous-vehicle timeline into two unresolved questions: solving the final edge cases and deciding what fatality rate society will tolerate from machines. Even a system vastly safer than human driving could produce recurring deaths attributed to a small number of companies, creating an unusual political and moral burden.

  • The final two percent of driving cases may determine deployment speed.
  • A tenfold safety improvement could still mean thousands of annual deaths.
  • Machine-caused fatalities may receive less social tolerance than human errors.
  • Limited deployments are likely to grow before autonomous vehicles dominate networks.
  • Khosrowshahi estimated a decade before autonomy becomes material to transportation overall.

“there's the last two percent of use cases the tail use cases it's unknowable what it'll take to get past that last two percent”

Dara Khosrowshahi · 1:20:30

“how safe does a robot have to be”

Dara Khosrowshahi · 1:20:30
#autonomous vehicles#safety#regulation#robotics

Tool· 1

Tool59:30

Blast Dispatch: Why Uber Recreated an Old Taxi System

Uber's normal one-to-one matching performed poorly with taxis whose availability was not visible through integrated meters. The company developed blast dispatch, sending a request to multiple taxis and assigning it to the first acceptance, effectively recreating traditional radio dispatch in software.

  • Uber normally makes a ride offer to one driver at a time.
  • Unavailable taxis produced low acceptance rates and slow matching.
  • Blast dispatch sends the request to multiple taxis simultaneously.
  • The first accepting taxi receives the job.
  • Market-specific infrastructure can outperform a universal matching method.

“the team built a technology blast dispatch which is instead of a one-to-one match it's a you know we'll make a dispatch of 10 different…”

Dara Khosrowshahi · 1:00:30

“what's old becomes new what's new becomes old”

Dara Khosrowshahi · 1:01:00
#taxis#dispatch#matching#marketplace technology

Takeaway· 2

Takeaway51:30

The Two Early Bets That Gave DoorDash Its U.S. Advantage

DoorDash bet on suburban demand and broad restaurant selection while Uber Eats followed its urban rides heritage and optimized for cheap, fast delivery. Khosrowshahi says Uber's existing strengths became biases that caused it to underestimate the larger suburban food market and sacrifice selection for speed.

  • DoorDash prioritized suburbs and restaurant selection.
  • Uber Eats initially concentrated on urban customers.
  • Optimizing for very fast delivery narrowed the restaurant radius.
  • Suburban families created substantial delivery demand.
  • Uber later corrected its selection strategy but still had work to do in suburbs.

“they made a bet on the suburbs and they made a bet on selection restaurant selection”

Dara Khosrowshahi · 52:00

“because of our Urban biases we didn't look at the overall Market”

Dara Khosrowshahi · 53:00
#doordash#uber eats#competition#food delivery
Takeaway55:30

Uber Stopped Waiting for Countries to Adopt Its Preferred Model

Uber changed its international expansion stance from entering only where its standard model was already legal to adapting the model to each country's rules. Khosrowshahi argues that entering legally builds trust and a local voice, after which regulation and the operating model may evolve.

  • Uber previously waited until its preferred model was accepted.
  • The revised approach begins by asking what model is legal locally.
  • Country-specific adaptations enabled entry into several major markets.
  • Trust and participation can create opportunities for later reform.

“what business model is legal and let's adjust our business model to the country versus have the country adjust to the business model”

Dara Khosrowshahi · 56:00

“once you're in you and you build trust within a country and you build a voice Etc maybe then the business model can change”

Dara Khosrowshahi · 56:30
#international expansion#regulation#localization#uber