The Fidelity Disruptive Automation ETF (FBOT) is an actively managed exchange-traded fund that invests across global "disruptive automation" businesses, spanning industrial robotics, autonomous driving, and artificial intelligence. Launched in April 2020, the fund carries a net expense ratio of 0.50% and held roughly $210 million in net assets. It is non-diversified and sits in the global large-stock growth category. Because it is an ETF rather than an individual stock, it has no analyst price targets; the $40 objective discussed here comes from public market discussion and technical levels, not from a consensus of Wall Street analysts.
Unlike a single stock, an ETF does not receive the kind of sell-side price targets that analysts assign to companies. FBOT therefore lacks a verifiable analyst price target or consensus. Instead, the $40 objective is grounded in identifiable public discussion and technical market structure. The fund's 52-week range spans roughly $30.32 to $40.84, and it spent much of 2026 trading in the high $30s to low $40s before a sharp pullback in early November pushed the price down toward the mid-$30s. A recovery to the $40 area—a widely watched round-number and psychological level just below the fund's 52-week high—is the realistic objective being discussed by market participants. This target is approximately 14% above the latest price, making it neither already reached nor unrealistically distant.
FBOT recently closed near $35.09, down from a 52-week high of $40.84. Reaching $40 would require a gain of roughly 14%, a modest move by equity-market standards but one that still depends on renewed momentum in the fund's growth-oriented holdings. The fund's top positions include Taiwan Semiconductor (about 6.6% of assets), Teradyne (5.9%), NVIDIA (4.6%), Deere & Company (4.3%), and, further down the list, Axon Enterprise, Palantir Technologies, and Alphabet. The top 10 holdings represent about 41% of total assets, so performance is meaningfully driven by a concentrated group of semiconductor, automation, and AI-related names. A path toward $40 would most plausibly run through stabilization in AI and semiconductor sentiment, continued capital spending on automation, and renewed inflows into thematic growth ETFs.
Several verified factors could underpin a recovery toward $40. First, the fund's largest weights—semiconductor equipment and AI infrastructure names such as Teradyne and NVIDIA—tend to benefit from sustained corporate capital spending on data centers and factory automation. Second, the portfolio's ~49% technology and ~22% industrial tilt gives it broad exposure to secular automation themes. Third, as an actively managed fund, Fidelity's managers can shift holdings in response to changing conditions rather than being locked to a static index. Finally, any easing in interest-rate expectations typically supports the long-duration, growth-oriented equities that dominate this fund, and renewed net inflows into thematic ETFs could provide an additional tailwind.
The principal risks are equally clear. The fund is concentrated in growth and technology stocks, which are sensitive to rising interest rates and any compression in AI-related valuations. Its non-diversified structure means a handful of large positions can disproportionately affect returns. The early-November selloff illustrates how quickly sentiment toward AI and semiconductor names can reverse. Slower-than-expected capital spending, weaker semiconductor demand, or a broader rotation away from growth toward value sectors could keep the fund below $40. Macroeconomic weakness and a stronger dollar can also weigh on the fund's non-U.S. holdings, which include Japanese and European automation companies.
On a technical basis, the $40 mark is the most relevant resistance, sitting just beneath the 52-week high of $40.84. A decisive move above that zone would signal a breakout to new highs; failure to reclaim it could leave the fund range-bound. On the downside, the recent low near $34.85 and the 52-week low around $30.32 mark key support areas. The long-term trend structure remains upward, with the fund still well above its 52-week low, but the sharp November pullback has interrupted that momentum and placed $40 back into focus as a recovery milestone rather than a near-term certainty.
Because the $40 objective is a technical and sentiment-driven level rather than an analyst target, no formal time horizon attaches to it. Investors watching FBOT should monitor the fund's largest holdings, including NVIDIA and Taiwan Semiconductor, for earnings and guidance, as well as semiconductor-industry capital-expenditure data and commentary from major automation companies. Interest-rate decisions and inflation data matter because they influence growth-stock valuations. ETF-level signals to watch include net fund flows, changes in top holdings, and the fund's premium or discount to its net asset value (NAV).
Tickeron's AI Daily Buy/Sell Signals use artificial intelligence to continuously monitor thousands of stocks and ETFs, generating Buy, Sell, or Hold signals based on changing market conditions, technical behavior, and AI-driven analysis. For a fund like FBOT, whose outlook hinges on shifting AI and automation sentiment, such tools can help traders surface opportunities, keep watch over existing positions, and identify changing trends more efficiently than manual screening. Traders seeking a systematic way to track these signals can explore the platform to see whether its models currently flag FBOT as a candidate for entry, exit, or patience.
Whether the Fidelity Disruptive Automation ETF can reach $40 depends less on any single company's fundamentals than on the broader trajectory of AI and automation equities. The target represents a recovery to the fund's recent trading range and the psychological level just below its 52-week high of $40.84, requiring a modest gain of roughly 14% from the latest price near $35.09. Support could come from sustained semiconductor and automation capital spending, easing rate expectations, and renewed thematic fund flows, while concentration risk, valuation sensitivity, and a sentiment-driven pullback are the main obstacles. There are no analyst targets to anchor the discussion, and no guarantee the fund reclaims $40. Investors should monitor holdings-level earnings, interest-rate developments, and fund flows before drawing conclusions.
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A.I.dvisor indicates that over the last year, FBOT has been closely correlated with FDRV. These tickers have moved in lockstep 80% of the time. This A.I.-generated data suggests there is a high statistical probability that if FBOT jumps, then FDRV could also see price increases.
| Ticker / NAME | Correlation To FBOT | 1D Price Change % | ||
|---|---|---|---|---|
| FBOT | 100% | -0.61% | ||
| FDRV - FBOT | 80% Closely correlated | -0.93% | ||
| ERTH - FBOT | 64% Loosely correlated | -1.67% | ||
| WRND - FBOT | 48% Loosely correlated | -0.77% | ||
| LGI - FBOT | 3% Poorly correlated | +1.16% | ||
| FWD - FBOT | 3% Poorly correlated | -0.86% | ||
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