Cédric Van Branteghem

The through-line

Van Branteghem's consistent argument is that technology in elite sport has been oversold at the top and undersold in the middle. It has not produced faster humans: "Er is nog geen een nieuwe Bolt geweest ook, hè. Er is ook nog geen nieuwe Phelps geweest ondanks de technologie" [1][2]. What it has produced is longevity, athletes competing years longer because recovery, load and injury risk are now monitored rather than guessed at [1][2]. That distinction, peak versus duration, governs how he thinks about every tool that arrives at the Belgian Olympic Committee's door.

The second thread is scale. He runs a small organisation in a country with structural disadvantages, and he keeps returning to what that means in practice: "Wij zijn niet het Nederlands Olympisch Comité waar dat ze 300 collega's hebben, wij zijn met 30" [2]. The response is not to chase everything, but to stay deliberately in a research phase and insist that any technology first name the problem it solves [1][2].

On why technology extends careers rather than raising ceilings

The evidence he leans on is older than the current wearables boom. AC Milan won the 2006-2007 Champions League with the oldest squad in its history by systematically monitoring player data with IBM Italy, an early proof that data buys years at the top rather than a higher top [1]. The same logic now runs through recovery monitoring and injury prevention across Olympic disciplines [1][2]. The absence of a new Bolt or a new Phelps is, for him, the honest headline: absolute peak performance has not moved despite everything that has been added around it [1][2].

On simulating stress before it arrives

The gap technology can genuinely close is psychological, because Olympic stress is a once-in-a-career sensory event that athletes otherwise meet cold. He speaks from the inside of it: "Dat komde het stadion binnen op mijn eerste WK in Parijs in Stade de France. Daar zit 80.000 mensen, dat plots verlamd hè" [1]. Stress triggers, he argues, are relatively easy to simulate, whether that is a full stadium or helicopters hovering over a sailing race, which makes VR and AR preparation realistic rather than speculative [1][2]. He frames it as ambition rather than a plan in motion: "Dat is echt zo'n beetje een dream project, zal ik maar zeggen, voor richting LA 28, toch de technologiestad, dat we zoiets zouden willen proberen doen" [2].

On athlete data, GDPR and who gets to look

He treats wearable data as a privacy problem before it is a performance problem. Coaches receive athletes' full life data by default, and the readings are intimate enough that elevated night-time stress could in principle reveal private activity [1][2]. BOIC runs an internal GDPR and ethics programme with its top sport and legal departments specifically to define access rights [2]. The Alcaraz/Whoop episode illustrates for him how regulation has misidentified the danger: the ban was aimed at coaching through data, while the more serious exposure is leakage to betting companies able to exploit live physiological signals [1][2].

The same data changes the relationship between athlete and coach. Where the 1986 Red Devils could drink before a final, a coach now sees a beer in the Whoop readout immediately, and a tracker suspiciously "forgotten" after a shower is noticed too [2]. Accountability has become continuous, which is a cultural shift as much as a technical one.

On how far marginal gains go

He is blunt that the pursuit of small advantages crosses into body modification. Ski jumpers have allegedly injected acid into their genitals in order to qualify for a larger suit that generates more lift, and Paralympic athletes bind off blood flow to insensate legs to redirect it to the upper body, at the risk of amputation [1][2]. These are cited without endorsement, as the outer edge of a logic that at its safer end looks like recovery tracking and posture optimisation.

On AI that has to earn its place

His scepticism is aimed at institutional theatre rather than the tools themselves. The IOC launched an Olympic AI agenda with considerable fanfare and little visible output, and BOIC's deliberate answer is to remain in research and to define the problem before adopting the technology, rather than deploy AI for the sake of perception [1][2]. Where a problem is clearly defined, he is happy to use it: Kim Meylemans' skeleton preparation runs through a fully AI-driven virtual wind tunnel built on a digital twin of her body, helmet and sled runners, simulating posture changes because physical wind tunnel time is prohibitively expensive [1][2]. He also raises a genuine methodological doubt about the field. Olympic sport concerns only the top 0.1% of athletes, so the datasets may simply be too small to qualify as big data, which makes the choice of reference framework a real open debate [2].

On being a small nation in a rigged structure

Some advantages cannot be bought with better software. Large sailing nations place weather buoys at Olympic venues such as Marseille, London and Rio up to eight years in advance, accumulating current and wind data from which race strategy is then derived, a structural edge Belgium cannot match [1][2]. Small nations instead piggyback on foreign structures, and that has limits too: the Belgian short trackers trained for years with the Dutch until Hanne Desmet started beating Suzanne Schulting and they were pushed out, relocating to Budapest. As he puts it, "Hannes en Stijn De Smet die hebben jarenlang met de Nederlanders getraind. Tot als we buiten gezet zijn hè. We werden te goed" [1][2].

On expectations for Milano Cortina

He is proud of the numbers and careful with the promises. "We hebben de grootste delegatie ooit in de geschiedenis van team Belgium. 30 atleten en nochtans hebben wij hier niet veel bergen en niet veel sneeuw" [1][2]. On medals he refuses to be pinned down beyond a floor: "Ik ga het gewoon houden bij beter dan twee" [1][2].

Takeaways

• Judge sports technology by career length, not peak performance: there has been no new Bolt or Phelps, but data-driven recovery keeps athletes competing for years longer [1][2].
• Define the problem before adopting the tool. The IOC's Olympic AI agenda arrived with fanfare and little output; BOIC stays in research rather than deploy AI for perception [1][2].
• Use AI where the alternative is unaffordable: a digital twin of Kim Meylemans' body, helmet and runners in a virtual wind tunnel replaces physical wind tunnel time [1][2].
• The real wearable-data risk is not covert coaching but leakage to betting companies able to trade on live physiological signals [1][2].
• Set access rules internally before the data exists. Coaches receive full life data by default, including night-time stress readings, which is why BOIC runs a GDPR and ethics programme with its top sport and legal departments [1][2].
• Structural advantages beat gadgets: eight years of weather-buoy data at Olympic sailing venues is an edge a small nation cannot replicate [1][2].
• Piggybacking on stronger nations is temporary. Belgium's short trackers were expelled from Dutch training once they started winning and had to rebuild in Budapest [1][2].
• Olympic datasets cover the top 0.1% of athletes, so the question of whether this is big data at all, and which reference framework applies, remains genuinely open [2].