— Topic —

    Ai

    60 receipts tracked • 55% industry hit rate

    — Filed —

    60 receipts on Ai

    Browse all →

    RECEIPT #SCOTT-

    JAN 03, 2025

    Too early to tell.

    PREDICTION BY

    Scott Galloway
    “The next set of winners will be firms that capitalize on service-as-a-software, i.e., taking human-intensive services and putting a thick layer of AI on top to scale with less labor. This is a fancy way of saying there will be more consumer-facing AI applications.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    No Mercy / No Malice

    RECEIPT #SCOTT-

    JAN 03, 2025

    Too early to tell.

    PREDICTION BY

    Scott Galloway
    “The AI Company of 2025: Meta. No business is better positioned to register progress in AI than Meta.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    No Mercy / No Malice

    RECEIPT #SCOTT-

    JAN 03, 2025

    Too early to tell.

    PREDICTION BY

    Scott Galloway
    “The next set of winners will be firms that capitalize on service-as-a-software, i.e., taking human-intensive services and putting a thick layer of AI on top to scale with less labor. This is a fancy way of saying there will be more consumer-facing AI applications.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    No Mercy / No Malice

    RECEIPT #SCOTT-

    JAN 03, 2025

    Too early to tell.

    PREDICTION BY

    Scott Galloway
    “The AI Company of 2025: Meta. No business is better positioned to register progress in AI than Meta.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    No Mercy / No Malice

    RECEIPT #CATHIE

    FEB 23, 2024

    Too early to tell.

    PREDICTION BY

    Cathie Wood
    “Assuming there will be a 4.5x increase in worker productivity through 2030, and that the vendors of AI software can capture 10% of the value their software generates, ARK estimates the total addressable market of AI applications will be $13trn in 2030.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    CMC Markets

    RECEIPT #CATHIE

    FEB 23, 2024

    Too early to tell.

    PREDICTION BY

    Cathie Wood
    “the costs of training AI models are expected to fall by as much as 75% annually through 2030.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    CMC Markets

    RECEIPT #DAN-SK

    DEC 08, 2025

    Too early to tell.

    PREDICTION BY

    Dan Skelly
    “So, like you said, we've also shared this view that next year's going to be positive, albeit there's going to be more volatility. And when I think about the two main risks that retail investors are facing today, one of them is definitely inflation. We're seeing that in services. We're seeing that in housing. We've had the labor market shrink over the recent couple of quarters, so who knows if wage inflation pops up again. But there are ways to definitely hedge against that in an equity portfolio. We think, for instance, owning parts of the AI infrastructure cohort is one of the ways of hedging, whether that be in utilities, pipelines, energy infrastructure in general. These are areas that we think are a necessary hedge against inflation risk. And number two are a positive diversifier.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    RECEIPT #CATHIE

    FEB 23, 2024

    Too early to tell.

    PREDICTION BY

    Cathie Wood
    “AI training performance will increase 5x in 2024, thanks to the effects of Moore’s Law ..., as well as the fact that Nvidia has previously outperformed the gains predicted by Moore’s Law, and algorithmic optimisations such as Chinchilla Optimal Scaling.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    CMC Markets

    RECEIPT #BEN-TH

    FEB 12, 2026

    Too early to tell.

    PREDICTION BY

    Ben Thompson
    “I put forward a few years ago that actually OpenAI could stop making models and be one of the most valuable companies in the world just because of ChatGPT. That’s their most valuable asset. And part of the problem that they have is that was definitely the case in 2023 and 2024, but they never… You have to actually build the business model around that.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Cheeky Pint Substack

    RECEIPT #RACHEL

    DEC 01, 2025

    Too early to tell.

    PREDICTION BY

    Rachel Brandt
    “The rigid agency model is crumbling. By 2026, success will not be measured by roster size or retainer value, but by speed and adaptability. Expect the rise of fluid all-star team structures, curated specialists assembled per project rather than permanent departments. AI will accelerate this shift, enabling leaner operations. The winners will be agencies that treat flexibility as a strategy, not a compromise. Those clinging to bloated teams and inflexible contracts will struggle as clients prioritize partners who can pivot with market changes, scale talent as needed and deliver specialized expertise exactly when required.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Campaign US

    RECEIPT #DOROTH

    DEC 01, 2025

    Too early to tell.

    PREDICTION BY

    Dorothy Urlich
    “The agency business model is imploding. Agencies are trying to abandon traditional billable-hours structures and pivoting hard toward productized solutions, selling packaged platforms, technology partnerships and performance guarantees instead of just creative services. It's the only way to charge for value created in an era of AI-driven process automation efficiencies, and because CMOs are demanding transparent, measurable ROI on every marketing dollar. Vague metrics and fluffy brand promises won't cut it anymore. In 2026, if you can't prove tangible impact with hard numbers, you won't get the budget.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Campaign US

    RECEIPT #KATE-S

    JUN 10, 2024

    Too early to tell.

    PREDICTION BY

    Kate Scott-Dawkins
    “AI is expected to be nearly fully intertwined within the digital advertising economy by 2029, when GroupM expects that 94% of ad revenue will 'be informed' by the technology. That figure includes programmatic, search advertising, and use cases like preplanning and ad optimization... 'After doing this research, there may be no other industry right now where AI is used more pervasively.'”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Marketing Brew

    RECEIPT #CATHIE

    FEB 23, 2024

    Too early to tell.

    PREDICTION BY

    Cathie Wood
    “Robotaxi platforms — the convergence point of EVs, AI and robotics — could generate $28trn in enterprise value over the next five to 10 years.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    CMC Markets

    RECEIPT #TARYN-

    JAN 13, 2026

    Too early to tell.

    PREDICTION BY

    Taryn Crouthers
    “A lot of the output is trending toward the median. It’s about pulling against the median because all of the content is merging to look very, very similar.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Marketing Dive

    RECEIPT #ALEX-K

    DEC 23, 2024

    Too early to tell.

    PREDICTION BY

    Alex Kantrowitz
    “And at least one company that’s tried and failed to get GenAI to work will vocally give up on it in a front page news story.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    CMSWire

    RECEIPT #MARY-G

    MAY 04, 2026

    Too early to tell.

    PREDICTION BY

    Mary Gabrielyan
    “inventory scoring plus creating packages that are truly changing in real time and adapting is where the ad curation AI future lies.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    RECEIPT #GIL-LU

    FEB 16, 2026

    Too early to tell.

    PREDICTION BY

    Gil Luria
    “My thought on on AI replacing people is that people that use AI well will replace people that don't use AI well.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Marketplace

    RECEIPT #AARON-

    DEC 02, 2024

    Called it.

    PREDICTION BY

    Aaron Goldman
    Paraphrase: OpenAI will launch ads in 2026.

    FOLLOW-UP

    Filed for tracking. As of mid-2026 OpenAI has not formally launched a paid-ads product, though signals (sponsored answers, partner integrations) keep building. Verdict to be revisited at year-end 2026.

    RECEIPT #AARON-

    AUG 09, 2010

    Called it.

    PREDICTION BY

    Aaron Goldman
    “In the coming years, we'll see a shift in focus towards applications that can handle complicated tasks based on our stated intent — eg, planning a trip to Italy.”

    FOLLOW-UP

    In 2010, Goldman predicted a shift from search results toward applications that handle complex tasks from stated intent, using trip planning as his example. Google's AI Mode now plans itineraries and has begun rolling out hotel booking within the conversational flow. Partner hotels and booking platforms remain the merchants, and flights can still send users to airline or travel sites; this supports the directional prediction, not fully autonomous end-to-end travel booking.

    RECEIPT #ANDREW

    MAY 01, 2026

    Too early to tell.

    PREDICTION BY

    Andrew Casale
    “I'm pretty sure that the Agentic version of the market that is coming will be impression level, will be super fast, and will be born in this protocol.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    RECEIPT #EVAN-S

    DEC 18, 2025

    Story still evolving.

    PREDICTION BY

    Evan Shapiro
    “I think one of the predictions I'm making for next year is that the AI D2C bubble is gonna burst a bit. But that AI, a prediction I made for this year, was actually going to be a very unsexy success. And one of the great examples of this is AI operating behind the scenes, not right overtly out there, but just creating greater discoverability, much more personalization, and in particular, going to solve some of the biggest problems in the ecosystem.”

    FOLLOW-UP

    Shapiro's 2025 prediction regarding AI's 'unsexy success' in driving behind-the-scenes personalization and discoverability in streaming is supported by the Roku panel discussion, where AI-driven personalization is a key prediction for 2026 (Prediction #1). The 'AI D2C bubble burst' part of the prediction for 'next year' (2026) is still in development.

    RECEIPT #JASON-

    FEB 26, 2026

    Too early to tell.

    PREDICTION BY

    Jason Kint
    “Confession: I predicted last year that Judge Brinkema in Eastern District of Virginia would issue her remedies opinion by end of February in U.S. v Google. To force divestiture. That’s in the next 24 hours. Polymarket has my odds super low. Alas.”

    FOLLOW-UP

    Prediction that Judge Brinkema in the Eastern District of Virginia will issue her remedies opinion in the U.S. v Google case within the next 24 hours.

    RECEIPT #MARK-Z

    APR 29, 2026

    Too early to tell.

    PREDICTION BY

    Mark Zuckerberg
    “by the end of 2026, brands will be able to simply tell Meta their objective and budget, and the platform will handle everything else.”

    FOLLOW-UP

    Zuckerberg predicted that by end of 2026 brands would give Meta an objective and a budget and its AI would handle everything else. Meta has pushed hard in that direction with Advantage+ automation and generative creative tools, but the test window is still open - the prediction is dated to the end of 2026 and full end-to-end automation is not yet generally available.

    ORIGINAL SOURCE

    www.emarketer.com

    RECEIPT #RODNEY

    MAR 05, 2026

    Too early to tell.

    PREDICTION BY

    Rodney Brooks
    “Actual risks from modern AI. $1.5T in existing investment grade bond debt for AI data centers. Then there is training debt. And no cash flow positive products deployed. The more all in on new AI that a company is, the more risk. Failures will ripple through the economy. www.fool.com/investing/20...”

    FOLLOW-UP

    The author predicts significant economic risks associated with current AI investments, including issues with data center debt, training costs, and a lack of cash flow positive products, which could lead to systemic failures.

    RECEIPT #RISHAD

    FEB 08, 2026

    Too early to tell.

    PREDICTION BY

    Rishad Tobaccowala
    “Why Creativity Will Matter More in An AI Age New Canvas Human Voice Human Choice Plumbing and Poetry Conversational Interfaces rishad.substack.com/p/why-creati...”

    FOLLOW-UP

    Rishad Tobaccowala discusses the enduring importance of human creativity, voice, and choice in an era increasingly influenced by AI and conversational interfaces.

    RECEIPT #BEN-TH

    FEB 12, 2026

    Too early to tell.

    PREDICTION BY

    Ben Thompson
    “I put forward a few years ago that actually OpenAI could stop making models and be one of the most valuable companies in the world just because of ChatGPT. That's their most ... valuable asset. And part of the problem ... that they have is that was definitely the case in 2023 and 2024, but they never… You have to actually build the business model around that.”

    FOLLOW-UP

    Thompson states this was true in 2023 and 2024, which is in the past. The rest of the statement about building a business model around it is 'too early' to judge. This was recorded in 2026, so it's a look back at 2023/2024, but the phrasing 'you have to actually build the business model around that' implies a future-looking challenge. Since building a business model is an ongoing process, it's too early to render a definitive judgment on the success or failure of OpenAI's monetization strategy past 2024.

    ORIGINAL SOURCE

    Cheeky Pint Substack

    RECEIPT #MARK-R

    FEB 09, 2026

    Too early to tell.

    PREDICTION BY

    Mark Ritson
    “More than one-third [of CMOs] expect to cut staff over the next one to two years”

    FOLLOW-UP

    The prediction window is still open and too early to assess.

    ORIGINAL SOURCE

    www.thedrum.com

    RECEIPT #COURTN

    DEC 12, 2023

    Called it.
    “In 2024, artificial intelligence and the oceans will emerge as new issues motivating geopolitical competition and regulatory dynamics.”

    FOLLOW-UP

    The prediction came true, as evidenced by the EY 2025 Geostrategic Outlook confirming the generative AI revolution and related policy changes, and the October 2024 Geostrategic Analysis highlighting escalating maritime disruptions like Houthi attacks and deep-sea mining advancements.

    RECEIPT #CHRIS-

    JAN 13, 2026

    Called it.

    PREDICTION BY

    Chris Neff
    “I would say, more likely than not, 50% of all Super Bowl spots we watch this year will utilize generative AI in some facet.”

    FOLLOW-UP

    Svedka announced an AI-generated Super Bowl spot, supporting the trend identified.

    ORIGINAL SOURCE

    Marketing Dive

    RECEIPT #GARTNE

    DEC 14, 2023

    Story still evolving.

    PREDICTION BY

    Gartner
    “By 2028, brands’ organic search traffic will decrease by 50% or more as consumers embrace generative AI-powered search.”

    FOLLOW-UP

    Gartner forecast a 50% or greater decrease in brands' organic search traffic by 2028. The forecast window remains open. The prior claim that search volume had already fallen 25% by February 2026 was not supported by measured evidence and concerned search-engine volume rather than brands' organic referral traffic. No comparable, independently measured 50% decline has been established here, so the outcome remains unsettled.

    ORIGINAL SOURCE

    Marketing Tech News

    RECEIPT #GARTNE

    JAN 03, 2024

    Partially right.

    PREDICTION BY

    Gartner
    “By 2025, 50% of consumers will significantly limit or abandon social media due to perceived decay in quality, including GenAI integration (70%+ see harm to user experience).”

    FOLLOW-UP

    Recent user discussions in December 2023 validate Gartner's forecast of a 50% reduction in social media usage by 2025, with trends materializing faster than anticipated, although concrete 2025 statistics are not yet available.

    RECEIPT #EMILY-

    JAN 03, 2024

    Partially right.

    PREDICTION BY

    Emily Weiss
    “A subsection of brands will shun AI and prioritise more human positioning. This ‘acoustic’ concept will be leveraged to distance brands from perceptions of AI-powered business as impersonal and homogeneous.”

    FOLLOW-UP

    The prediction that a subsection of brands would shun AI and prioritize human positioning partially came true, as evidenced by a July 2025 Nielsen report showing 18% of consumer goods brands marketing products as "AI-free." However, this remained a niche trend, with only 22% of top brands prioritizing anti-AI differentiation by February 2026.

    RECEIPT #EMILY-

    JAN 03, 2024

    Partially right.

    PREDICTION BY

    Emily Weiss
    “The use of GenAI in a creative team’s routine daily work frees them up to do higher level, more impactful creative ideation, testing, and analysis. As a result, creative will play a more important and measurable role in driving business results, and CMOs will actually increase their spending on creative and content.”

    FOLLOW-UP

    Creative and content spending increased due to GenAI, as predicted by Weiss, but the anticipated 'more important and measurable role' for creative in driving business results has not fully materialized, with many brands struggling to measure impact and overall marketing ROI remaining stagnant, according to Gartner, Deloitte, and Forrester reports.

    RECEIPT #GARTNE

    FEB 19, 2024

    Story still evolving.

    PREDICTION BY

    Gartner
    “By 2026, traditional search engine volume will drop 25%, with search marketing losing market share to AI chatbots and other virtual agents.”

    FOLLOW-UP

    The 2026 window is still open. Gartner's own January 2026 survey found only about a third of consumers think GenAI chatbots are as effective as search engines for learning new information, so a 25% drop in traditional search volume is not yet evident.

    RECEIPT #ERIC-B

    JAN 01, 2024

    Partially right.

    PREDICTION BY

    Eric Brackmann
    “AI will change the way that shoppers find products. Tools like NLP-powered chatbots, visual search, and better recommendations will mean that in the future shoppers will be directed toward a smaller set of highly relevant products.”

    FOLLOW-UP

    AI tools for product discovery like chatbots and visual search gained traction. The complete shift to a 'smaller set of highly relevant products' is still ongoing amid hyper-personalization, indicating partial alignment.

    RECEIPT #IAN-BL

    JAN 01, 2024

    Called it.

    PREDICTION BY

    Ian Black
    “Increasing prevalence of AI-based activation” in retail media, led by Amazon and mature networks; retailers will automate audience/placement selection for outputs like ROAS or new-to-brand growth, balancing automation with advertiser controls.”

    FOLLOW-UP

    AI activation trends grew in retail media, with generative AI dominating tech forecasts, aligning with the prediction of increased AI-based activation and automation.

    ORIGINAL SOURCE

    eConsultancy

    RECEIPT #JACLYN

    JAN 01, 2024

    Called it.

    PREDICTION BY

    Jaclyn Nix
    “AI is going to be increasingly important – both generative and predictive. [Epsilon] has been using predictive AI to get the right message in front of the right consumer at the right time for over 10 years. This is not going to stop and will become increasingly important to help drive the best outcomes for consumers, brands and retailers.” (On generative AI: “This too will be important to help manage campaigns and manage creative within retail media.””

    FOLLOW-UP

    Retail AI spending increased significantly, and generative AI became central to tech forecasts.

    ORIGINAL SOURCE

    eConsultancy

    RECEIPT #LECUN-

    FEB 04, 2023

    Partially right.

    PREDICTION BY

    Yann LeCun
    “On the highway towards Human-Level AI, Large Language Model is an off-ramp.”

    FOLLOW-UP

    LeCun argued LLMs alone won't reach AGI and pushed JEPA/world-models. By 2026 frontier labs increasingly added world-models, video, and reasoning beyond pure next-token prediction — partial vindication. Pure-LLM scaling kept producing gains he downplayed.

    ORIGINAL SOURCE

    X (Twitter)

    EVIDENCE

    RECEIPT #KURZWE

    JAN 01, 1999

    Story still evolving.

    PREDICTION BY

    Ray Kurzweil
    Paraphrase: By 2029, computers will have human-level intelligence and pass the Turing test.

    FOLLOW-UP

    By May 2026, computers had not yet achieved human-level intelligence or passed the Turing test, as confirmed by Kurzweil himself and expert consensus on current AI models. However, with three years remaining in the prediction's timeframe and Kurzweil reaffirming the 2029 target, the situation is classified as evolving.

    RECEIPT #KURZWE

    JAN 01, 1990

    Called it.

    PREDICTION BY

    Ray Kurzweil
    Paraphrase: By 1998, a computer will defeat the world chess champion.

    FOLLOW-UP

    Kurzweil predicted in 1990 a computer would beat the world chess champion by 1998. Deep Blue defeated Garry Kasparov in May 1997 — a year ahead of schedule.

    ORIGINAL SOURCE

    MIT Press

    RECEIPT #LECUN-

    FEB 04, 2023

    Missed it.

    PREDICTION BY

    Yann LeCun
    “Auto-Regressive LLMs are doomed. They cannot be made factual and non-toxic.”

    FOLLOW-UP

    LeCun called autoregressive LLMs 'doomed' in early 2023. Three years later GPT-5, Claude 4, and Gemini 3 — all autoregressive — power most production AI. Hallucinations dropped sharply with RLHF and tool use.

    ORIGINAL SOURCE

    X (Twitter)

    EVIDENCE

    RECEIPT #HINTON

    NOV 24, 2016

    Missed it.

    PREDICTION BY

    Geoffrey Hinton
    “People should stop training radiologists now. It's just completely obvious that within five years deep learning is going to do better than radiologists.”

    FOLLOW-UP

    Hinton said in late 2016 radiologists would be obsolete within 5 years. Nearly a decade later radiologist demand is at all-time highs; AI augments but has not replaced them.

    RECEIPT #KURZWE

    SEP 22, 2005

    Too early to tell.

    PREDICTION BY

    Ray Kurzweil
    “I set the date for the Singularity — representing a profound and disruptive transformation in human capability — as 2045.”

    FOLLOW-UP

    2045 deadline still 19 years out. Compute and AI capability gains 2023–2026 broadly track the exponential thesis; final verdict by 2045.

    ORIGINAL SOURCE

    Viking

    RECEIPT #THOMPS

    JAN 22, 2020

    Called it.

    PREDICTION BY

    Ben Thompson
    “In other words, today’s cloud and mobile companies — Amazon, Microsoft, Apple, and Google — may very well be the GM, Ford, and Chrysler of the 21st century.”

    FOLLOW-UP

    Thompson's 'End of the Beginning' thesis: cloud + mobile are the substrate, no platform shift coming. Five years on, the FAANGs only consolidated power; AI emerged as a layer ON TOP of cloud (OpenAI/Anthropic on Azure/AWS), exactly as he framed it.

    ORIGINAL SOURCE

    Stratechery

    EVIDENCE

    RECEIPT #ALEX-K

    DEC 23, 2024

    Missed it.

    PREDICTION BY

    Alex Kantrowitz
    “Mustafa Suleyman Leaves Microsoft... Suleyman is an impressive, driven leader, but it’s fair to wonder whether Microsoft actually just needs an integrator to build OpenAI’s latest technology into its products. Already, reports have indicated that Suleyman’s team has clashed with OpenAI, and it wouldn’t be a shock if he exits in 2025.”

    FOLLOW-UP

    Mustafa Suleyman did not leave Microsoft in 2025 as predicted; instead, he remained CEO of Microsoft AI, actively involved in strategic initiatives, with a leadership restructuring only shifting some of his day-to-day responsibilities, not his employment status.

    RECEIPT #ALEX-K

    DEC 23, 2024

    Missed it.

    PREDICTION BY

    Alex Kantrowitz
    “A Prominent Company (or Two) Will Loudly Give up on Generative AI... at least one company that’s tried and failed to get GenAI to work will vocally give up on it in a front page news story.”

    FOLLOW-UP

    The prediction failed, as no prominent company loudly or vocally gave up on generative AI in a front-page news story by May 2025. Instead, evidence indicates strong industry momentum through high revenue run rates and continued focus on AI productivity among leading companies.

    RECEIPT #SIMONA

    JAN 01, 2026

    Too early to tell.

    PREDICTION BY

    Simona Gambarini
    “In the US, activity should stay robust, underpinned by strong AI-related capital expenditure, still-easy financial conditions, and a positive fiscal impulse from the 'One Big Beautiful Bill'.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    RECEIPT #SIMONA

    JAN 01, 2026

    Too early to tell.

    PREDICTION BY

    Simona Gambarini
    “We expect global growth to remain robust in 2026, underpinned by reduced trade-policy uncertainty, a supportive fiscal stance, accommodative financial conditions, and sustained AI-driven capital investment.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    RECEIPT #BEN-SN

    JAN 06, 2026

    Too early to tell.

    PREDICTION BY

    Ben Snider
    “We expect AI spending will exceed consensus estimates this year but begin to decelerate in growth terms while corporate adoption increases, causing rotations among the largest US tech stocks that create two-way risk for the aggregate index.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    RECEIPT #SIMONA

    JAN 01, 2026

    Too early to tell.

    PREDICTION BY

    Simona Gambarini
    “Hyperscalers capex is expected to reach $540 billion in 2026, with Nvidia’s CEO Jensen Huang anticipating $3-4 trillion of AI infrastructure spending by 2030.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    RECEIPT #BEN-SN

    JAN 06, 2026

    Too early to tell.

    PREDICTION BY

    Ben Snider
    “Healthy economic and revenue growth, continued profit strength among the largest US stocks, and an emerging productivity boost from AI adoption should lift S&P 500 EPS by 12% in 2026 and 10% in 2027, providing the fundamental base for a continued bull market.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    RECEIPT #JOHN-B

    DEC 30, 2024

    Too early to tell.

    PREDICTION BY

    John Breeden II
    “My prediction is that with both theories gaining followers and acknowledgment, they may actually merge in 2025 into something new. In my mind, they are complimentary to one another. If you think about it, if we are living in a simulation run by some kind of computer, then it stands to reason that there could be millions of other simulations running in parallel to ours.”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Nextgov/FCW

    RECEIPT #YUVAL-

    AUG 19, 2025

    Too early to tell.

    PREDICTION BY

    Yuval Noah Harari
    “Human-operated organic networks are being displaced by AI-operated inorganic ones, which 'are always on, and therefore they might force us to be always on, always being watched, always being monitored.'”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Open Culture

    RECEIPT #YUVAL-

    AUG 19, 2025

    Too early to tell.

    PREDICTION BY

    Yuval Noah Harari
    “If you want to sell something to people today, you call it AI”

    FOLLOW-UP

    Filed for tracking. Outcome to be evaluated as the timeline plays out.

    ORIGINAL SOURCE

    Open Culture

    RECEIPT #ELON-M

    FEB 19, 2019

    Missed it.

    PREDICTION BY

    Elon Musk
    “I think we will be feature complete, full self-driving, this year – meaning the car will be able to find you in a parking lot, pick you up and take you all the way to your destination without intervention, this year.”

    FOLLOW-UP

    The prediction failed to come true, as both the "feature-complete" FSD by end of 2019 and the ability for drivers to not touch the wheel by Q2 2020 did not materialize, with FSD still requiring supervision years later.

    RECEIPT #ELON-M

    APR 22, 2019

    Missed it.

    PREDICTION BY

    Elon Musk
    “I feel very confident predicting autonomous robotaxis for Tesla next year. ... operating robotaxis next year with no one in them.”

    FOLLOW-UP

    Elon Musk's prediction of over a million autonomous Tesla robotaxis on the road by "next year for sure" (2020) clearly failed to materialize, as confirmed by Tesla's own records and Wikipedia, with no robotaxi deployments that year. Subsequent predictions for robotaxi functionality also did not come true.

    RECEIPT #ELON-M

    OCT 10, 2024

    Story still evolving.

    PREDICTION BY

    Elon Musk
    “I think this will be the biggest product ever of any kind.”

    FOLLOW-UP

    By January 2026, Elon Musk confirmed low production of Optimus robots for Tesla factories with external sales hoped for later in 2026 or 2027, indicating initial progress, but the 'incredible' or 'biggest product ever' status, massive scale, and market dominance are not yet evident and the prediction is still unfolding.